- 1Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- 2National Institute for Genomics and Advanced Biotechnology, Islamabad, Pakistan
- 3College of Agriculture, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, China
- 4Pakistan Agricultural Research Council, Islamabad, Pakistan
- 5Department of Biotechnology, Chonnam National University, Yeosu, South Korea
Climatic variability has been acquiring an extensive consideration due to its widespread ability to impact food production and livelihoods. Climate change has the potential to intersperse global approaches in alleviating hunger and undernutrition. It is hypothesized that climate shifts bring substantial negative impacts on food production systems, thereby intimidating food security. Vast developments have been made addressing the global climate change, undernourishment, and hunger for the last few decades, partly due to the increase in food productivity through augmented agricultural managements. However, the growing population has increased the demand for food, putting pressure on food systems. Moreover, the potential climate change impacts are still unclear more obviously at the regional scales. Climate change is expected to boost food insecurity challenges in areas already vulnerable to climate change. Human-induced climate change is expected to impact food quality, quantity, and potentiality to dispense it equitably. Global capabilities to ascertain the food security and nutritional reasonableness facing expeditious shifts in biophysical conditions are likely to be the main factors determining the level of global disease incidence. It can be apprehended that all food security components (mainly food access and utilization) likely be under indirect effect via pledged impacts on ménage, incomes, and damages to health. The corroboration supports the dire need for huge focused investments in mitigation and adaptation measures to have sustainable, climate-smart, eco-friendly, and climate stress resilient food production systems. In this paper, we discussed the foremost pathways of how climate change impacts our food production systems as well as the social, and economic factors that in the mastery of unbiased food distribution. Likewise, we analyze the research gaps and biases about climate change and food security. Climate change is often responsible for food insecurity issues, not focusing on the fact that food production systems have magnified the climate change process. Provided the critical threats to food security, the focus needs to be shifted to an implementation oriented-agenda to potentially cope with current challenges. Therefore, this review seeks to have a more unprejudiced view and thus interpret the fusion association between climate change and food security by imperatively scrutinizing all factors.
General Background and Climate Change Status
Negative impacts of climate change on global food security components is one of the major threats in the current century and their alleviation is essential to fulfill the future food demands of increasingly inflating population. Climate change has already threatened crop productivity especially in the major food crops (wheat, maize, rice) which are staple food crops across many countries (Lobell et al., 2011; Syed et al., 2022). The impacts of climate change on major food crops have been considered comprehensively, but the impacts on livestock and fisheries which are also important in food security have been ignored (Herrero et al., 2015; Campbell et al., 2016). Climate variables like low and high temperature stresses, change in precipitation frequency and intensity, and other climate change-induced disasters such as drought, salinity and erupting sea levels are changing slowly, but definitely will negatively impact the crop production in the coming decades (Raza et al., 2021; Ullah et al., 2021). Therefore, farmers will have to deal with climate change and extreme climate events that consequently will make the agricultural farming more difficult (IPCC, 2012). Therefore, climate mitigation and adaptation approaches must be adopted before major crisis happens. Certainly, there are many research limitations concerning research conduction and research implementation regarding climate change and impacts on food production and food security (Knight et al., 2008; Firdaus et al., 2019). Meanwhile, some uncertainties are associated with climate; not sure what fluctuations will come in climate and to what extent these changes will impacts food production. These uncertainties have been existing for decades and likely to remain hampering the food security goals in the coming decades unless the proper research-based strategies are undertaken (Heal and Millner, 2014a). Long-term decision-making is more challenging and hindered due to the uncertainties regarding climate change impacts on food security. Therefore, it is necessary to alleviate the research gaps between climate change and food security thereby undertaking mitigation and adaptation approaches to improve the decisions and actions for a climate-smart food production system ensuring food security.
It is univocal that human-induced activities have increased the warming process of the atmosphere, ocean and land. Widespread and rapid changes have occurred in the atmosphere, cryosphere, ocean, and biosphere. Human activities have substantially and unequivocally increased the well-mixed GHGs concentrations since 1750. Change analysis in concentration of GHGs since 2011 have depicted a continued increase in the atmosphere for major gases, approaching annual averages of 410 ppm for CO2, 1866 ppb for CH4, and 332 ppb for N2O till 2019 (Myhre et al., 2016). During last four decades, the warming process have been rapidly increased successively warmer than any of the decade that predated it since 1850s. Global mean surface temperature during 2001–2020 was higher by 0.99°C than 1850–1900. Moreover, global mean surface temperature was 1.09°C higher in 2011–2020 than 1850–1900, with rapid warming over earth surface (nearly 1.59°C) than over the ocean (nearly 0.88°C; IPCC, 2021). However, the projected increase in global mean surface temperature is principally due to further warming during 2003–2012 (+0.19°C). The relative projected extent of total human-induced global mean surface warming during 1850–1900 to 2010–2019 is varying between 0.8 and 1.3°C, with a more accurate estimate of 1.07°C. It is anticipated that mixture of different GHGs bestowed a warming of 1.0–2.0°C, other human factors shared a mean temperature change to 0.8°C, natural factors altered global mean surface temperature varied between –0.1 and + 0.1°C, while internal variabilities changed surface temperature ranged between –0.2 and + 0.2°C (Zhou, 2021). It has been projected that mixture of different GHGs could be the major contributor for tropospheric warming since 1979 and more obviously human-based activities caused stratospheric ozone depletion during 1979–1990s (Andersen et al., 2013).
Global projections for annual precipitation change over earth surface have depicted an increase since 1950s, with a rapid increase rate since the 1980s. It is presumptive that human activities have contributed to the patterns of observed precipitation shifts since the 20th century and more likely subjected toward near-surface ocean salinity (Hatfield and Prueger, 2015; IPCC, 2021). The tracks for mid-latitude storms have been shifted poleward in both hemispheres since the 1980s, with noticeable seasonality in change trends. Human-based activities are anticipated to be the major contributors of the global retreat of glaciers since the 1990s and also caused decrease in Arctic sea ice area during 1979–2019 (Wang and Zhou, 2019). No significant change trend has been observed in Antarctic Sea ice area during 1979–2020 due to regionally contending trends and enormous internal variabilities, whereas, decrease in Northern Hemisphere spring snow cover was seen after 1950s. Moreover, it is more probable that human influences have assisted to the observed surface melting of the Greenland Ice Sheet during recent years, however, there exists a limited evidence, with a uncertain agreement, of human-induced impacts on the Antarctic Ice losses (Moon et al., 2018; Aschwanden et al., 2019).
Atmospheric CO2 concentrations have become higher than at any time during last 2 million years, and concentrations of CH4 and N2O have become higher than at any time in last 0.8 million years. Alongside, human-induced climate change has already been affecting and changing the magnitude of climate extreme events across the globe. Indication of observed shifts in extreme events such as heatwaves, frequent and irregular precipitation, droughts, and tropical cyclones, and, specifically, the ascription of these extreme events to human influence, has also been strengthened (Castillo et al., 2021). It has been certainly observed that hot extreme events have become more intense and frequent across several global regions since 1950s, while cold waves have relatively become less severe and less frequent (Zheng et al., 2020), where human-caused climate change is one of the main drivers of these extreme events (Bell et al., 2018). During recent years, severe heatwaves have been observed that would have been seriously improbable to occur without human activities causing climate change. Marine heatwaves have nearly doubled in frequency since the 1980s due to irregular human-based activities which more likely boosted the heatwaves after 2000s (Oliver et al., 2019). Moreover, the frequency and intensity of severe precipitation events have shown an increasing trend after 1950s across the various regions worldwide due to many natural and human-caused factors. This irregular change in annual precipitation and occurrence of frequent heatwaves have led toward ecological drought events in various regions due to increased evapotranspiration (Jiménez-Donaire et al., 2020; Ayugi et al., 2022). Decline in global monsoon precipitations has been observed between 1950s and 1980s which could partially be attributed to human-induced Northern Hemisphere aerosol emissions. However, an increase in precipitation after 1980s have resulted from rising atmospheric GHGs levels and decadal to multi-decadal internal modulations (Johnson et al., 2020). Considering West Africa, East and South Asian regions, increases in annual monsoon precipitation caused by warming from mixed GHGs emissions were subverted by decline in annual monsoon precipitation due to cooling from human-induced aerosol emissions since the 20th century (Tian et al., 2018; Herbert et al., 2022). Whereas, an increase in West African monsoon precipitation since the 1980s was observed might be due to the growing influence of severe GHGs emissions and decrease in the cooling effects of human-induced aerosol emissions over European and North American regions. In the same way, the occurrence of tropical cyclones has increased over the recent decades, and it has been projected that the latitude where tropical cyclones in the Western- Northern-Pacific hit their extremum intensity has switched northward which happened due to several internal and external factors (Feng et al., 2021). There are many uncertainties in multi-decadal change trends in the frequency and intensity of categorical tropical cyclones. It has been indicated that human-caused climate change generally causes heavy precipitation events associated with tropical cyclones, however, limited data availability precludes clear identification of previous trends on the global scale. Irregular and uncontrolled human-based activities have increased the chance of co-occurrence of compound extreme events since 1950s which includes increase in the frequency of simultaneous heatwave and drought events globally, wildfires weather in various parts of all tenanted continents, and intensified flooding (Ye et al., 2019; Coscarelli et al., 2021).
Long before human existence and activities, the earth has gone through different fluctuations of cooling and warming in the past. The major natural factors that share to climate change include sun’s intensity, natural GHGs concentrations, volcanic eruptions, orbital changes, movement of crustal plates, El Nino-Southern Oscillation (ENSO; Thompson, 2010; Rosso Grossman, 2018; Santos and Bakhshoodeh, 2021). However, the projections and analyses have shown that earth warming primarily occurred since the last century is happening at rapid speed which cannot be interpretated only by natural causes. It has been explained there can be different cyclical shifts in earth’s orbit and tilt that subject toward the climate changes. Volcanic eruptions subject toward the discharge of CO2, along with emissions of different aerosols which include dust or volcanic ash, and sulfur dioxide (SO2; Reikard, 2019). Generally, aerosols may be solids or liquids that stream around in the atmosphere which may also include dust, soot, salt crystals, viruses, and bacteria. Aerosols disperse the ingress solar radiation, leading toward a mild cooling effect. Whereas, volcanic aerosols can even restrict a major percentage of solar radiations and may cause a cooling effect that may last for years (Piazzola et al., 2021). Heavy winds transfer the solid and liquid aerosols across the globe toward eastern or western regions. Hence, volcanoes that generally erupt at lower latitudes near to the equator are expected to subject toward hemispheric or worldwide cooling effects. Meanwhile, volcanoes that erupt near to the poles or higher latitudes are uncertain whether they will cause cooling because the sulfurous aerosols are restricted to wind patterns around the poles (Sun et al., 2019). The total amount of solar radiation touching the earth surface varies by little margins as the energy released by the sun only differs by 1.3 W/m2 which is associated with darker areas on the sun termed as sunspots (Hussain et al., 2018; Adnan et al., 2020). Approximately after every decade, the total number of darker areas on the sun changes from a maximum to a minimum number. The sun releases marginally more active radiation during active periods of darker spots. As the darker spots suppress the heat, that heat transports toward the surrounding areas causing these regions to be brighter than routine, and emitting more heat. Moreover, higher number of sunspots can share toward warmer climate, while less number appear to contribute toward a cooler global climate. As tectonic crustal plates shift across the geological timescales, landmasses are transported along to different places and latitudes which ultimately impact the global circulation patterns of seas and ocean waters, air movement, and the climate of the continents (Van Der Meer et al., 2014).
Climate change is considered as a universal truth across the globe with subsequent untoward impacts on agricultural food production, water resources, biodiversity, human livelihoods, forest farming systems, and socio-economic components (Muluneh, 2021). It has been projected that due to anticipated global climate change, developing and underdeveloped countries will suffer from adverse impacts because of less adaptive capacity. At the regional scale, the most vulnerable are the ordinary citizens especially the poor and insure the destructive reverberations of climate change owing to the scarcity of required resources, capacity building, and limited access to the information (Barnett et al., 2014). Climatic uncertainties have become more frequent and intense, due to irregular anthropogenic activities that subject toward climate change which continue to intensify the ecological disasters (Mahmoud and Gan, 2018; Trenberth, 2018). At societal level, the poorest communities become the principal victims of these ecological disasters with poor access to capacity building and lowest dawdling incomes without being the major sharer to climate change. Uncontrolled urbanization and industrial revolution have increased the greenhouse gases (GHGs) emissions which massively caused the intensified global warming with prolonged capacity (even for decades) to render the warming process. The probable challenges of undernourishment, malnutrition, and food insecurity are the most significant impacts of climate change. The irregular climatic patterns likely to have unfavorable impacts on livelihoods, household incomes, and food security since climate extreme events ruin essential infrastructures, agricultural systems, and other public properties, and subsequently increase poverty. Uncertain and irregular climate changes are causing the incidence of ecological disasters which further impact the livelihoods. The climate change associated extreme events include faster glacial thawing, sea level rise, drought, floods and salinity which will adversely impact the livelihoods and social emotions (Iniguez-Gallardo et al., 2021), land-use, dependability and amount of available irrigational water and other agricultural resources (Davidson, 2018).
Global Climate Change and Impacts on Food Security
Concrete reports on climate change impacts have depicted that earth’s surface temperature has been warming more rapidly since the beginning of 19th century (Böhm et al., 2010; Hansen et al., 2010; Rohde et al., 2013; Hegerl et al., 2019; Carton et al., 2021). Based on the temperature fluctuation records taken over earth’s surface, seas, and oceans, it has been observed that the global mean temperature has increased by 0.8–1.5°C since the beginning of 19th century (Solomon et al., 2007; IPCC, 2019), and most of this temperature rise was seen after 1975 (Pierrehumbert et al., 2000; Hansen et al., 2006). Climate change occurs from three major factors, one from natural factors, secondly from human-based actions like GHGs and methane (CH4) emissions, and thirdly from changes in land-use. Human-induced anthropogenic activities have increased the atmospheric carbon dioxide (CO2) levels from 284 to 410 ppm between the time period of 1832–2013 (Hoffman et al., 2014), respectively, which ultimately caused the rise in temperature due to global warming. It has been projected that different factors involved in climate change will cause a rise in temperature, changes in precipitation frequency and intensity patterns, and probably incidence of more severe extreme events such as droughts, floods, and heatwaves (Solomon et al., 2007; Schiermeier, 2018). Global warming and its associated changes have already brought various modifications to biodiversity and human systems on earth’s surface (Kotir, 2011). It is anticipated that global warming patterns will not be even across the globe where arid and oceanic regions will be threatened more due to consequent impacts of global warming and extreme events (Solomon et al., 2007; Spinoni et al., 2021). Meanwhile, recent climate changes reports have depicted that the earth’s surface temperature will increase more slowly than projected from climate models due to the absorption of CO2 by oceans (Balmaseda et al., 2013). Livelihoods of coastal areas will be under more threat of floods and salinity due to anticipated climate change-induced sea level rise. There are uncertainties regarding rainfall patterns, specifically in tropical regions, due to the inefficacy of climate models to present the hydrological cycle with more accuracy (Lorenz et al., 2012). Climate change growingly altering the precipitation patterns worldwide, both in terms of amount of precipitation, duration, and timing. Generally, it has been envisioned that the duration of summer monsoon in Asia will increase, whereas northern and southern regions of Africa will become comparatively drier which depicted abrupt shifts in mean and extreme precipitation patterns (Shongwe et al., 2009; Gebrechorkos et al., 2019).
Extreme weather events caused by climate warming, such as low-temperature stress usually in spring, has constituted an adverse challenge to food production (Barlow et al., 2015; Jackson et al., 2021). Low-temperature stress has posed serious threats especially to crop production across the globe (Crimp et al., 2016; Ferrante et al., 2021; Zhang et al., 2022). It has been estimated that in several parts of the world, yield reductions because of low-temperature stress of winter cereals often causes 100% production loss. Even under optimized management practices, low-temperature stress in spring can decrease the long-term average production by 10%, causing great economic losses (Chauhan and Ryan, 2020; Collins and Chenu, 2021). In Australia, Africa, and Asia, spring cereals especially wheat has suffered from frequent low-temperature stress events and reduced the grain yield to a great extent (Holman et al., 2011; Hassan et al., 2021). Low-temperature stress during spring depicts that the temperature in the season of rebirth, growth, and development rises rapidly, and during late spring season, the temperature is generally lower than optimum. Following this, when the crop development enters the anther differentiation phase, the resistance to frost will descend sharply (Zhang et al., 2015, 2019, 2021). This will subject toward fruitlessness or adverse production losses sometimes 30–50% once the crop plant encounters low-temperature stress (Zheng et al., 2016; Liu et al., 2019). Many previous studies have reported that low-temperature stress during critical growth stages in major cereals significantly reduces the photosynthetic rate of plants, causing accumulation of carbohydrates which leads toward altered hormonal contents and enzyme activities (Wang et al., 2017; Liu et al., 2019; Yan et al., 2022). For optimized plant metabolic and energy transformation processes, photosynthesis is the essential source, however, it is greatly sensitive to abiotic stresses (Shah et al., 2020b), such as drought and high- and low-temperature stresses (Jin et al., 2021; Zhang et al., 2022). Spring low-temperature stress and other abiotic stress of such heavy metals impose oxidative damages (Ahmad et al., 2021a) and majorly impact the growth and development processes of plants by affecting important morphological and physiological processes, and then dry-matter accumulation and distribution, which subjects toward reduction in crop production, quality, and ultimately food security (Nurhasanah Ritonga and Chen, 2020; Aazami et al., 2021; Ahmad et al., 2021b). Hence, improving the plant metabolism, antioxidants machinery, osmolyte metabolism, and modulation in physiochemical attributes is necessary against biotic and abiotic stresses which also include soil heavy metal stress (Shah et al., 2019; Li G. et al., 2021).
Additionally, the rapid increase in frequency and intensity of extreme weather disasters which include floods, droughts, and wildfires as a result of climate change devastatingly impact food security and livelihoods. This rapid increase in natural disasters demands for substantial disaster risk reduction management measures, potential policies and intensified approaches in building resilience to the damaging impacts of climate change which can ensure a sustainable and productive future. Relative to previous decades, the annual prevalence of natural disasters is now more than three times as a result of uncertain and irregular climate change (Sloggy et al., 2021). Comparative to agriculture, industry, commerce and tourism considered as a whole, on its own agriculture sector suffers from the incommensurate share of nearly 63% of impact from natural disasters, where the resource-poor, least developed, and low- and middle-income countries carrying the major threat of these scourges (Ali et al., 2017). Therefore, between 2008 and 2018, agriculture sector had to suffer with a great economic loss of USF 108 billion during 2008–2018 in terms of damaged or reduced crop and livestock productions (FAO, 2021a). Such damages can be specifically more disastrous to livelihoods of communities holding subsistence farming with limited resources. Over the analyzed time phase, Asia was the region mostly hard-hit by climate disasters, with overall economic losses nearly USD 49 billion, followed by Africa with USD 30 billion, and Latin America and Caribbean with USD 29 billion (FAO, 2021a). Among natural disasters, drought is considered as the greatest perp of agricultural production losses, followed by flood, storm, pest and disease, and wildfire. New pests and diseases in crops and livestock have also become an important disaster hindering food security. These biological disasters can cause great economic losses in near future regarding crop, agroforestry and livestock and ultimately jeopardizing food security. Empirically, the impacts of climate change and natural disasters on agriculture, livestock, fisheries, agroforestry, and the natural resources and environment sectors vary at different stages. Considering agriculture, the direct and positive impacts of natural disasters are actually quickly identifiable such as typhoons enhance the supply and availability of water for agriculture. Alongside, floods greatly improve the soil fertility because they deliver nutrients from the upland areas to lowlands regions (Israel and Briones, 2012). Along with other yet-to-be-identified variables, the impacts of typhoons and floods are considered as positive because, they assist an increase in agricultural production in the affected regions and guide to improve the food security. In contrast, typhoon, wind storm, flood and drought stresses have the potential to decrease farm productivities, afflict farm resources, damage farm infrastructure, and limit farming options (Atanga and Tankpa, 2021). Moreover, individually, winds storms, typhoons and floods can limit the physical farm movement, supply infrastructure, supply routes, and may cause deaths or injuries to labor involved in farming. Consequently, the direct and negative variables may further subject toward indirect and adverse negative impacts on agriculture and causing heavy economic losses. Generally, due to frequent occurrence of typhoons, wind storms, floods and droughts, the general cost of agricultural and agroforestry production increases, meanwhile agricultural production decreases, consequently food supply declines and food prices increase (Kumar et al., 2022). Typhoons, wind storms, floods, and droughts can greatly impact and reduce vegetative cover, can lead toward soil erosion, higher coastal tides and storm surges in sea sides, can result in high siltation and sedimentation. Moreover, these disasters can also subject toward accumulation of several wastes, water pollution and distorted land topography, reduction in precipitation, lowered soil fertility and increased saltwater ingress (Shrivastava and Kumar, 2015; Akhtar et al., 2021). All of these phenomena may indirectly reduce the viability of land and water resources, reduce the ecosystem services and imperil human health and safety due to the prevalence of extreme event-related issues. Considering all disasters together, the potential direct and indirect negative impacts on agriculture and agroforestry threaten food security more obviously in the areas already vulnerable to climate change and natural disasters.
Climate variability is linked with a rise in temperature and change in precipitation patterns which alters the association among crops, pests, and diseases; and also changes various trends like water availability, pollinating mechanisms, and fisheries. Meanwhile, there are some benefits of increased levels of CO2 in terms of potential increment in crop production at mid-high latitudes, however, the increased concentration is causing global warming subjecting toward extreme climatic disasters. Though there exist solid evidences about the impacts of climate change on nutrition and mortality, but inevitably there are uncertainties due to limited understanding regarding the extent of climate change impacts on food security components (Nelson et al., 2009; Springmann et al., 2016; Shoaib et al., 2021). Therefore, reviewing the mechanisms of impacts of climate change on all components of food security and livelihoods is necessary to alleviate the research gaps essential in fulfilling the regional food security goals.
Intertwined Relationships Among Climate Change, Agricultural Farming and Food Security
Climate change and extreme events will become key factors adversely affecting the food security and increasing undernourishment and malnutrition (Hughes, 2020). Considering the impacts of climate change, agriculture sector including crops and livestock is adversely affected and at risk due to subsequent vulnerabilities caused by climate change. Climate variability impacts agriculture and food productivity in various ways, exceedingly vary from global to regional levels (Tilman et al., 2011; Wu et al., 2014). Major food crops are impacted due to rise or fall in temperature, changes in rainfall patterns, global warming due to increased GHGs emissions, and soil abiotic stress caused by different heavy metal (Shah et al., 2020a; Raza et al., 2022) ultimately shifting the biological setups like crop cycle, insects, pests and diseases invasion, and growth periods. During 20th century, a longer crop life cycle was noticed as the most widely observed biological fluctuation in response to global warming in Northern Hemisphere (Steltzer and Post, 2009; Livensperger et al., 2019). Wheat and rice are among the major food crops that have reacted negatively to global warming in the last three decades, though the yield responses have still been under consideration and satisfied grain yields have been observed in various regions (Raza et al., 2019). Food production (net of food utilized for biofuels) must increase by 70% up till 2050 under the projected mean risen temperature conditions of nearly 4°C to meet the food requirements for an additional 2.3 billion population (totally 9.6 billion; FAO, 2009; Molotoks et al., 2021). However, to meet this food requirements by end of this century will be more challenging due to uncontrolled and uneven climate changes. Figure 1 represents the schematic representation of potential climate change impacts on global food security and nutrients intake.
During recent decades, an abrupt increase in atmospheric temperature has been observed in most of the Asian countries. Frequent water stress events, water shortage, and unsustainable and irregular intensive agricultural practices may adversely impact the future food security (Hameed et al., 2020). Almost 37% of GHGs emissions in Asia are associated with unsustainable agricultural practices (Syed et al., 2022). The agricultural sector including livestock, fisheries, forest farming and crop production is mostly affected by climate change and extreme events (Awan and Yaseen, 2017). It has been projected that shifts in climatic components will change the cropping seasons, negatively impacting the forest farming and forest farming-based livelihoods (Chisale et al., 2021), and could potentially permanently extinguish the viability of several crop and forest species at regional scales. Climate change is growingly threatening the crop production system of major crops, and it has been projected that expected rise in temperature will severely decline the productivity of major staple food crops such as wheat and rice leading toward various constraints in addressing food insecurity challenges in protracted crises (Maxwell et al., 2012). Climate change brings shifts in the precipitation and temperature which differently disturb the duration of different growth phases of the crops and forest plants (Davidson, 2018).
The forest farming and forest-based industries and climate change are closely interlinked depicting a key role for the development of climate-smart agriculture in improving the farmers’ livelihoods and sustainable forest management (Nkumulwa and Pauline, 2021). Forest farming and its industry influence the global carbon cycle via the sequestration of atmospheric carbon in forests and is successively impacted by global climate change through its influences on the forest growth rates and climate-induced shifts in natural disturbances. Similar to other agricultural sectors, the impacts of climate change on forest farming and its industries are different depending on the extent of climate variability, geographical features, and forest species. Climate change similar to crop plants change the overall productivity of forests, changing resources management, economic approaches of adaptation, and subsequently forest product harvests globally, nationally, and regionally (Keenan, 2015). In regions where climate variabilities reduce the timber growth, smaller timber volumes will be produced for harvest both in existing forests and those rejuvenated in near future. Moreover, climate change impacts the forest farming and agriculture sector differently which could subject to land use shifts that could be considered as one potential adaptation approach to improve livelihoods. Considering a possible example, if regional climate change causes relatively increased agricultural productivity per unit area, some area possibly be converted from forest farming to agricultural purposes depicting shifts in land use (Gurgel et al., 2021). Such shifts in land use would change the availability of forest products to international and regional markets, altering the prices of forestry products and the economic livelihoods of both producer and consumer. Consumers, ultimately, would modify their practices of consumption between forest and non-forest products. Meanwhile, producers would also change both the types of forest management practices and the wood harvesting time, which depend on type of owners whether public or private. Therefore, reviewing the adaptation of forest farming to climate change is essential for advanced understanding of the climate change impacts on forests, and forest-based industries to tackle the livelihoods of communities associated with forest farming. In addition, prediction and evaluation of how climate change impacts would change over time is necessary and integration of this knowledge will be helpful into the forest management decisions and policy makings (Nunes et al., 2022). However, it demands multiple types of new practices, knowledge, and adaptation approaches for suitable forest management decisions. Sharing that integrated knowledge from multiple agricultural, climate change, forestry, and food security disciplines will be helpful in building a shared set up for understanding the future challenges of food security and facilitating improved decision and policy making in the face of severe climate change (Keenan, 2015).
After climate change, mitigating the hunger and undernourishment threats is another major challenge of 21st century which threatens the food security goals (Jha, 2018; Webb et al., 2018). Hunger is associated with multiple ranges of concerns, ranging from nutrient deficiencies due to shocks in the accessibility of food to persisting food shortages. There are several intertwined relationships between malnutrition and poverty which subject toward hunger due to limited supply and availability of food in terms of quantity and quality (Siddiqui et al., 2020). Moreover, hunger is also caused because of the inability to buy sanitized and nutritious food, causing several infectious diseases leading toward poor health. Major hunger promoting agents have been addressed at wider scale in the last few years, which substantially encouraged the reduction in world’s undernourished population. Taking an example, due to suitable actions, the global undernourished population has reduced from 980 million to around 850 million between 1992 and 2012, respectively (Nawrotzki et al., 2014). Alongside, micronutrient deficiencies in routine diet have become a huge global health concern, impacting nearly one third global population. Micronutrient deficiencies render some important worldwide health issues, with malnutrition impacting major developmental outcomes like reduced physical and intellectual developments among children, vulnerability or aggravation of disease invasion, mental retardation, loss of hearing, blindness, and imprecise losses in body potential and productivity. Hence, it is necessary to comprehensively review the research gaps regarding dietary requirements and micronutrient deficiencies as 2 billion people are food insecure due to micronutrient deficiencies (Darnton-Hill, 2019).
It is put forward, based on the limitations and knowledge gaps, more studies on climate change impacts and consequences in terms of food losses are required, and the research focus should change to support implementation and capacity building to tackle food insecurity issues. Abundant information is available about recent advances in climate change and impacts on food production and food security, therefore, based on this, immediate actions are needed to tackle food insecurity challenges (Heal and Millner, 2014a; Schroeder and Smaldone, 2015; Campbell et al., 2016). In spite of having extensive progress in reducing the food insecurity challenges happened via enhanced food availability which is a major component in attaining food security goals, still the issues of undernourishment and nutrient deficiencies are stumbling. Globally, millions of people are suffering from micronutrients deficiencies, and problems of insufficient dietary intake. Therefore, bringing issues of hunger, malnutrition, and undernourishment into consideration is strictly needed to alleviate problems and challenges to meet global food security goals. It would be possible by reviewing the intertwined relationships among climate change, food production, poverty, malnutrition, undernourishment, and overall food security components. This study was designed to review such looped relationships between climate change and food security to reduce the research gaps hindering the food security aims. This article is reviewing three major mechanisms, firstly, the status of climate change and the challenges to food security responsible for increasing the research gaps. Secondly, how climate change negatively impacts the food security components and major research gaps. Thirdly, the possible potential options that how the challenges in climate change and food security research can be sorted out for better implementation in practice to alleviate the food insecurity risks.
Flaws, Gaps, and Limitations in Climate Change and Food Security Research
Lack of Interactive Research on Crops, Livestock, Forest Farming, Pests, and Diseases
Generally, previous studies on climate change impacts on food security mainly focused the agricultural crops and ignored livestock, forest farming, diseases, and pests. Moreover, the crop studies mainly focused on crop productivity with minimal consideration of value chains, landscape, and farming systems. Climate change also impacts the livestock farming which is an important component of food security (Godde et al., 2021). Livestock farming and its industry represents an important and key component of the agricultural economy especially among least developed and developing countries. Livestock farming contributes beyond direct food production which shares multipurpose provisions which include animal skins, fiber, fertilizers and fuels, and also capital accretion (Mahmood et al., 2014). In addition, livestock farming is are intimately associated with the social and cultural values of millions of resource-poor communities where livestock possession assures sustainable agricultural farming and economic stability. A significant increase in animal protein and fat usage has been seen in last few decades, which need to be increased up by 70–80% by 2050 (Herrero et al., 2015). It is strictly emphasized to deeply consider the climate change impacts on interactions of livestock farming and crops cultivation as the assessment of these interactions is critical for sustainable intensification, diversification, and climate change impacts management (Thornton and Herrero, 2015). Aquaculture and its industry already share a significant role in food and nutrition security across the globe. Yet, aiming to reach the full potential and providing sustainable and impartial aquatic food in the future, this sector essentially requires to innovate and anticipate projected challenges of climate change on food security. Globally about 1 billion people acquire their protein diet from fish, therefore, fish production has been spectacularly increased, where 41% comes from fish aquaculture farming (Beveridge et al., 2013). Likewise, forest farming and forest-based industry also play an indirect role in fulfilling the food security goals because they have a key contribution in the household food security, and economic sustainability of livelihoods as well as agricultural production systems (Cedamon et al., 2019). However, they could share a greater contribution to agriculture sector with more systematic and dynamic approaches to agroforestry with the identification and adaptation of innovative agroforestry measures in agricultural systems. Consideration of climate change impacts assessment both due to biotic and abiotic stresses inclusive of heavy metals on crop interactions and plant diseases prevalence (Ramzan et al., 2021) is also necessary as invasion of pests and diseases reduce global food production by 10–16%, which is critically more problematic in developing countries (Chakraborty and Newton, 2011; Elad and Pertot, 2014; Grace et al., 2015) and even complete crop loss if no countermeasures are undertaken. Alongside, outbreaks of emerging plant diseases and pests impact the food security, national security, livelihoods, and human health, with serious economic threats to agricultural economy (Ristaino et al., 2021). Several emerging plant diseases have already become more frequent due to climate change, and it is projected that invasion of diseases and pests will become more intense and frequent due to changes in their geographic distributions in face of climate change (Bebber et al., 2013; Bebber, 2015). Plant and livestock diseases influence all components of food security, and efficient management practices will subject to both improved food production, livelihoods, and human health. Most importantly, discussing the interactive impacts of climate change and emerging plant pests and diseases on food production and food security is necessary. Herein, it is necessary to evaluate the facts why plant pests and diseases emerge under climate change, and recommending an integrated research approach that can be implemented in prevention and control of pathogens, thereby improving adaptation and mitigation strategies to ensure food security. Therefore, it is needed to comprehensively review the interactions of climate change impacts, agricultural crop and forest farming, diseases, insects and pests under research considerations to tackle the food security challenges.
Limited Considerations of Food Security Determinants
Generally, previous climate change and food security studies mainly focused on a single food security determinant, which quantified food mainly based on crop production ignoring other features. Future climate projections clarify that climate change will impact all components of food security, i.e., availability, access, utilization and stability, and ultimately the whole food system (Vermeulen et al., 2012; Noiret, 2016). Therefore, research focus should cover all components of food system (Porter et al., 2014; Campbell et al., 2016) rather only based on the analysis of climate change impacts on food systems solely on crops yield (Ziervogel and Ericksen, 2010; Sieber et al., 2015). Emerging and innovative studies should focus on the whole food system covering crop production, livestock and forest farming by understanding climate change impacts and implementing adaptation approaches in response to climate change. By this, problems on the demand side can be resolved to achieve food security aims under climate variabilities by taking action on the wastage of food and diets (Quak, 2018). Approaching the food system as a whole will benefit in delivering good nutrition to societies at a local scale rather than solely securing food availability on a global scale (Lang and Barling, 2013; El Bilali, 2019). The major determinants of food security vary at different scales starting from global branching toward regional and national to household and individual scale as food security is considered to be a holographic process surrounding climate change, civil constraints, climatic disasters, and socio-economic norms (Abdullah et al., 2019). Discussing all of the important factors involved in determinants of food security is essentially required to make the food system more sustainable. A number of factors are involved which influence the food security including household property (Tarasuk et al., 2019); economic constraints (Chang et al., 2014); education and awareness; livestock farming; cultivated land area; soil properties; access to market; resources availability; incomes; infrastructure; and awareness and knowledge for food production, storage, processing, and management. So, it has been revealed that gender, age, awareness, education, knowledge, remittances, employment constraints, inflation, possessions, and pathogens are some of the major factors influencing household food security (Abdullah et al., 2019). Hence, approaching the research-based evaluation of all above-mentioned factors influencing the food security and food system as a whole in face of climate change is necessary to sustainably cope with food insecurity challenges.
Gaps Between Research Analysis and Implementation
There have been vast research-based consideration of climate change and food security, however, yet there are several research implementation limitations (Knight et al., 2008) which demands to review and navigate the space between research conduction and its implementation (Toomey et al., 2017). Climate change and extreme events impact both food security components and the livelihoods of those engaged in food production systems and their value chains. Moreover, climate change also affects the agricultural production systems, food supply chains and food pricing. In order to fulfill future rapidly growing population food needs, researchers must consider shifts not only in global climate change impacts and demographics on food security but also the degree to which food production systems can adapt against climate change (Burke and Lobell, 2010). Downstream, food access is associated with a stable and balanced food supply chain. Climate change impacts interrupt the food supply chain and disrupt the physical access to markets in various ways. Climate change-induced extreme events such as droughts, floods, and wind storms negatively impact the public infrastructure, damage market access facilities, inundate transport networks, and other health hazardous conditions for people to physically access markets (Nissen and Ulbrich, 2017). Research on a wider scale has been done for climate change scenarios development and impacts assessment, however, there is a lack of research considerations regarding adaptation measures against climate change and building adaptive capacity rather than merely forecasting the future climate. For example, IPCC 5th assessment report’s 1/4th part is focusing adaptation options, but in actual adaptation experiences were described on less than 1% portion, which apparently describes the research implementation gaps. There are various reports about the climate change impacts on crops, livestock, and forest farming but the scientific agenda to turn the analyses into actions against climate variabilities is still lacking (Herrero et al., 2015). Much analysis, but action paralysis is more noteworthy these days as on the other side of climate change impacts-adaptation options-action spectrum, there is minimal literature about adaptation measures, options and adaptive capacity improvement is available. Additionally, minimal work has been done so far about what works in different contexts, even if also considering current climate risk and vulnerabilities management options rather than measures needed for future climates (Campbell et al., 2016). Moreover, still there are several research gaps like just focusing on climate change impacts merely on food production, ignoring other components of food system and food security.
Climate Change Impacts on Key Components of Food Security
Agricultural history is full of uncertainties and constraints where achieving higher food production and meeting food demands were based on increasing the cropping area and inputs along with applying new available technologies. However, traditional research methods completely ignored the interactive climate change impacts assessment on food security and food system as a whole which include livestock, fisheries and forest farming as well (Steenwerth et al., 2014). Agricultural crop production, fisheries, livestock, and forest farming in terms of quantity and quality depends on various kinds of physical and biophysical resources like soil health, availability and feasibility of natural inputs (water, sunlight, CO2, temperature), and sometimes pollination channels. Decline in food production commonly occurs due to climate change, natural disasters and also by pathogens and diseases. In some cases, food production and food availability are heavily influenced by availability of physical agricultural labor. Assessment of climate change impacts among different developing and underdeveloped countries where undernourished people are abundant showed an alarming and serious high hunger index among 53 countries. It has been observed that climate change has decreased the consumable calories in daily routine diet during the last few decades (Ray et al., 2019). It is concluded that climate change has boosted the issues regarding household food insecurity as it impacts all determinants food security and factors affecting food production, access, availability and stability (Godfray et al., 2010; Ziervogel and Ericksen, 2010; Mekonnen et al., 2021). Climate change influences all the components of food production and food security, but the impacts of climate change are essentially needed to be interactively characterized.
Impacts on Food Availability
Food availability means if people have enough food to meet their dietary requirements and it also covers the supply side of the food chain. Food availability is determined through food production, technologies available, inventories, supply chain efficiency, and trade policies at national and international scales. Previous studies have vastly focused on the cumulative climate change impacts on cropping systems and food availability (Parry et al., 2005; Ali and Erenstein, 2017). Various studies focused on the impacts of future climate projections under various levels of CO2 concentrations, and that increased levels of CO2 likely to enhance crop productivity due to improvements in photosynthesis processes and improved water-use efficiency (WUE) because of high carbon fertilization (Lee et al., 2020). In contrast, it has also been found that crop productivity will increase with less rates in practical than projected in crop models (Long et al., 2006; Ainsworth and Ort, 2010). Therefore, the magnitude of change in crop production will vary branching from global to regional to country to community due to alternative and contrasting projections of crop models. Climate change impacts food production irregularly and unevenly as the impacts are more severe across tropical regions than in higher latitudes. Moreover, it has been projected those countries with a higher hunger index will be affected more severely in crop yield and livestock decline due to climate change. Forest farming and agroforestry contribute to household food and nutritional security in multitudinous ways. Trees directly provide a range of healthy foods such as fruits, leafy vegetables, seeds, nuts, and some edible oils. Forest farming can diversify routine diets and also address seasonal food and nutritional gaps. Forest farming also serves as a source of a wider range of edible plants, fungi, bushmeat, fish and insects. Forest farming and its industry also share a support in the provision of fodder for livestock, green fertilizer for crop production and wood-fuel crucial in many communities among least-developed countries for cooking food (Cedamon et al., 2019). Agroforestry and forest-based industry serve as a source of income in purchasing foods and also provide sustainable environmental services to support food production. However, there are various complexities in quantification of the relative benefits, profits and costs of forest farming-based systems in provision of routine food. These complexities in food provision quantification depict that the roles of agroforestry and forest farming-based systems are often not well considered and understood. Reviewing the research limitations and focusing the targeted research in forest-based systems can help in maximizing the farm benefits, productivity, enterprise, and sustainability (Monckton and Mendham, 2022). A comprehensive and deep understanding is necessary to focus on systematic ways to characterize the impacts of climate change on forest farming and ultimately food provision across different landscapes and on major indicators like dietary diversity approaches.
It is concluded that there is a vigorous and reasoned pattern of the climate change impacts on food production and food availability and it has been projected that uneven climate change will adversely impact the areas which are already under the prevalence of undernourishment and food insecurity issues. Systematic analysis of the changes in crop and livestock production across South Asia and Africa predicted that climate changes will decline the overall productivities of major food producing systems by 2050 (Knox et al., 2012; Sultan, 2012). The decline in crop productivities for major crops like wheat, maize, and sorghum will be vigorous, but the analysis was inconclusive and showed contradictive results for other major crops like rice and sugarcane (Knox et al., 2012, 2016). There are still some limitations regarding the broad impacts of climate change on food availability, though rational evidences for climate change impacts on crop productivities are available. Firstly, and more importantly, models that project and analyze the climate change impacts are only available for major cereal crops, few roots, and tubers. Climate change impacts some crops like pulses and vegetables which are considered as major income driven food crops locally (but globally minor) are deduced based on the same plant characteristics instead of solely analyzing them. Secondly, there are very few analyses about the grassland productivity and quality of livestock feed crops which curbs the understanding between climate change and livestock. Thirdly, most of the crop studies focus on the impacts of mean climate changes instead of capturing the weather extremes too, which sometimes can produce more adverse consequences on crop, livestock and forest productivities. Lastly, the understanding of climate change impacts on quantification of food provision and incomes from forest farming is limited which make food security more challenging.
Impacts on Food Access (Measure of Affordability and Government Policies)
Accessibility to food can be defined in terms of the ability of a household to gain sufficient quality food to meet the dietary requirements (Ludi, 2009; Masipa, 2017). Acquiring a sufficient amount of quality food is only possible when households have adequate income resources for purchasing of food to maintain good nutrition levels (Fischer and Qaim, 2012; Fisher et al., 2012; Gartaula et al., 2017; Gupta et al., 2019). Food access is based largely on household income, capabilities, and rights. Food access issues are studied through two major pathways; firstly, from top-bottom models that address and link major fluctuations with household responses, and thereby the adaptation outcomes. Secondly, through community and household stages by trying to assess the climate variability impacts from bottom-up. Production of certain food products such as crops, fisheries, livestock and forest farming are transformed due to adverse climate change impacts at local, regional, and global levels which ultimately impact biomass production, including fiber, feed, food, or fuels. The shifts in land-use due to climate change impacts the overall food access by altering the geography of food system which involve crops, livestock and forest farming and impact the incomes at the farm level (Hertel et al., 2010; Zhao and Running, 2010; Hertel and Tyner, 2013; Peña-Lévano et al., 2019). Therefore, micro- and macro-level analyses for the climate change impacts assessment on every component of food access is necessary to help in meeting food security goals. Price of basic resources like water and land are based on long-term expected analysis, and most of the time, the prices border expected analysis of climate change such as the accessibility of water with a revaluation of land. Due to climate change impacts, some secondary structural consequences in a region or community may arise when there is a lack of property rights along with no protection for water and land resources which cause many food security problems, especially in developing and underdeveloped countries (Mendelsohn and Dinar, 2009; Godfray et al., 2010). These climate change induced structural consequences mainly target the poor people with abrasion of their resources of income.
Climate change projections and impacts on food access have shown that it will stress the people’s ability to purchase the food. Several IPCC assessment reports have demonstrated the negative impacts of climate change on the affordability of food through projections based on inter-linked climate, crops, livestock, forest farming and economic models. These inter-linked models project the prices of any agricultural and agroforestry food commodity and trade in coming future under several climate change, social, and economic scenarios, and projected results work-out the negative impacts on food purchasing power of any population under consideration (Nelson et al., 2014). There are several indications that show the micro- and macro-level climate change impacts on food affordability in the near future, and various climate change scenarios have demonstrated that climate food prices will increase depicting some uncertainties among the results projected through different macro- and micro-economic models (Nelson et al., 2014). Purchasing power of households impacts the affordability of food and ultimately food access which is considerably negatively impacted by climate change (Arnell, 2016; Tol, 2018). Most likely, climate change is expected to impact the geography of food production across the globe, like transference in suitable crop and livestock production regions that could cause considerable impacts on food prices, trade, and consequently food access (Havlík et al., 2014; Jones et al., 2017). Climate change also impacts the physical access of households to food by affecting the transport systems, road infrastructures and physical fortune (Tol, 2018). It is concluded that climate change adversely impacts the food access by affecting the food production systems and economic statuses.
Impacts on Food Utilization
Food utilization to fulfill the dietary and nutritional requirements is strongly impacted by any mild change in climate along with other secondary factors like water availability and sanitation facilities. Very few studies are available to have broader consideration of climate change impacts on this component and determinant of food security. There is an obvious link between food utilization and climate change because climate variability limits the availability of food items such as drinking water (Kundzewicz et al., 2008; Delpla et al., 2009; Duran-Encalada et al., 2017). Undeveloped areas are more often devoid of sound sanitation systems, which cause hygiene issues during extreme weather events like floods or droughts (Hashizume et al., 2008; Seneviratne et al., 2012). Therefore, the non-availability of good hygiene systems causes different stomach diseases, which reduce the intake of essential nutrients, which is actually associated with temperature variations (Schmidhuber and Tubiello, 2007; Lloyd et al., 2011). Higher costs for foods are usually observed under climate change-induced events because climate change encroaches on diet quality; therefore, the demand for good hygiene food increased, which requires sound techniques to avoid food contamination from any adverse environmental factors (Paterson and Lima, 2010; Medina et al., 2014). Although there have occurred some advances in food utilization like food fortification and biofortification, however, there are still higher needs to bring innovations in food utilization and food science as a whole (Bouis, 2003; Nestel et al., 2006; Bouis and Welch, 2010; Bouis and Saltzman, 2017). Food security issues have been continuously increasing for many years, suggesting ways to strengthen the adaptation system under changing climate (Ziervogel and Ericksen, 2010; Molua, 2012). Improved adaptive capacities like improved income systems to expand the income from rich to poor, straightening employment programs for the poor, actions to fulfill childhood essential nutrients requirements, etc., need expansion to respond against climate change. A nutritional alteration will spread out in the coming decades due to climate variability, which requires the broader, potential and fortified considerations of these phenomena.
Food utilization is primarily influenced through two attributes: food safety dimensions through the food supply chain, and direct or indirect health impacts due to climate change that intermediate nutritional outcomes. Generally, high as well as low temperature stresses (Raza, 2020) are likely to reduce the food safety of necessary items especially fisheries, fruits and vegetables due to increased rates of microbial activities under changed environmental conditions (Marques et al., 2010a; Liu et al., 2013; Hammond et al., 2015; Galstyan et al., 2019; Alegbeleye et al., 2022). Climate change impacts food system in dynamic ways directly or indirectly such as vector-borne diseases, high and low temperature stresses, natural disasters which include drought and floods which consequently affect public’s income, nutrition, plus security and care provision to children (Connor et al., 2010). Human and livestock health is undermined and compromised food safety is observed due to water-related influences of climate change which include low sanitized water availability or increased contaminated water provision due to increased frequency and severity of drought and floods (Uyttendaele et al., 2015b; Djekic et al., 2016). Deep concerns have been expressed that new disease incidence will subject toward over and irregular use of pesticides for crops and agro-forestry and veterinary medicines for livestock and fisheries (Tirado et al., 2010; Sundström et al., 2014). Climate change indirectly impacts human health via loss of jobs and essential livelihoods, or migration and interposed public health services, which disproportionately influence indigenous communities and people who are already poor with negative consequences for food security (Ford, 2012; Hayes et al., 2018; Ebi and Hess, 2020).
Impacts on Food Stability
Stability of food is greatly linked with changes in climate because climate determines the price trends for food, either long- or short-term variability in prices (Nelson et al., 2009; Myers et al., 2017). Since last decade, small blows in the food chain either at the demand or supply side, have impacted the prices, often increasing the food prices (Haile and Wossen, 2016). Food instability issues are more common among poor societies because poverty-stricken populations have to spend most of their incomes to buy high-priced staple foods. Climate change makes both the supply and demand sides of the food more unpredictable by increasing the food volatility (Gilbert and Morgan, 2010; Haile and Wossen, 2016). Climate change fluctuates the demand side, which puts food stability at risk; usually, it happens when political agendas and policies interfere, e.g., different kinds of subsidies either in crop and livestock or forest farming industry (Wheeler, 2015). These kinds of policy transitions have been implemented in various developed countries (United States, United Kingdom) due to energy considerations and climate mitigation and adaptation aims. A recent example of food instability showed that more or less food crises originated due to lack of short- and long-term adaptation and mitigation strategies against climate change and extreme events, less crop, livestock, fisheries and agroforestry productivities and lack of sound policies. The situation of food crises was aggravated by lack of policy implementation, less expertise due to restrictions from developed countries, limited access to lucid markets, and lack of price regulation systems (von Braun and Tadesse, 2012; Haile and Wossen, 2016; Headey and Martin, 2016). Therefore, concerns about food destabilization are continuously increasing due to climate change which is making more uncertain the poor populations’ food consumption through volatile food prices (Arndt et al., 2012a,b; Campbell et al., 2016; Roy and Haider, 2019). Some secondary risks with food destabilization arise more or less due to climate change, like economic and political risks that cause food insecurity issues for indigenous people (Berazneva and Lee, 2013). This complex aggregate of constraints and risks can potentially ride into a ruinous system for food security.
There is direct and indirect linkage between food security and ecosystem which is based on the provision (food, water), regulation (climate, extreme events, pests, diseases), and support (water and nutrient recycling) services. The pressure on ecosystem is being intensified through climate change and extreme events (Berazneva and Lee, 2013). An increase or decrease in temperature and frequent prevalence of extreme events due to climate change bring in a decrease in biodiversity and also change the relationships among communities and within a respective community jumble (Mach et al., 2016; Oppenheimer et al., 2016). This ultimately put the agricultural and forestry productivities and food security on risk (Khoury et al., 2014). Climatic variability leads to various kinds of soil, water, livestock and crop related problems that consequently cause soil damages, shifts in soil properties, low surface and ground water quality, water availability issues, degraded food quality and quantity, and damages to human health and ultimately to ecosystem. Climate change, thus, also threatens the social and economic components of the food chain. Marginalized and resource-poor communities are easy targets for climate change by increasing their economic vulnerabilities and other socio-economic conflicts (Oppenheimer et al., 2016; Panpakdee and Limnirankul, 2018). Figure 2 represents the global variations in world undernourished population based on the calorie intake in the last two decades. At the start of this century, the world’s undernourished population was quite higher. Some developed countries took progressive steps but in spite of these steps, average world population of undernourished people increased in the 2nd decade of this century relative to the start of the century.
Figure 2. World’s undernourished population (The undernourished are those with a caloric intake less than the minimum daily requirement; LAC, Latin America and the Caribbean; Source: ADB calculations based on economy-level estimates from the FAO Food Security Indicators), http://www.fao.org/economic/ess/ess-fs/ess-fadata/en/.
Impacts on Overall Food Productivity
In spite of intrinsic shortcomings in climate-crop modeling, climate projections have indicated with some certainty that global food production will decline due to uneven and uncertain climatic variabilities (Porter et al., 2014; Martinich et al., 2017). Recent climate assessments with some uncertainties done by IPCC demonstrated that average productivity for major food crops (rice, maize, wheat) would decline by 3–10% with 1°C increase in temperature (Challinor et al., 2014, 2018). In the light of above findings, it has been observed that wheat production will decline by 6% with a 1°C increase in warming (Asseng et al., 2015, 2019; Hatfield and Dold, 2018). Besides, various findings have found that enhanced CO2 concentrations in air will make crops to produce more harvestable products especially in C3 plants (DaMatta et al., 2010; Ramalho et al., 2018). Climate change impacts on livestock production are conciliated by reducing feed qualities and quantities. Meanwhile, climate change will impact livestock and fisheries production through contention for natural resources, quality and quantity of feeds, livestock diseases, heat and cold stresses, and biodiversity loss. Moreover, the demand for fisheries and livestock products is projected to increase by 100% by mid of the current century (Rojas-Downing et al., 2017). Mysteries about how climate change impacts will occur and to what extent in the future are still under the unveiling process, and meanwhile the responses of forest farming toward climate change are even more uncertain. Some forest species are expected to become limited due to direct impacts of climate change which ultimately will hinder the economic growth and food security of populations whose incomes are concerned with forest farming. Forest productivity may be basically shifted if especially vulnerable, yet ecologically essential species are lost due to physiological impacts of climatic stresses (Kramer et al., 2020). Direct effects result when climatic variables approach physiological limits of forest and affect tree functioning. Identification of physiological limits of different forest species linked with livelihoods of different communities will help scientists describe their potential to survive in face of climate change. Climate change can also directly afflict the livestock food production by stressing the physiological processes. Taking an example of poultry and milk products which are considerably impacted in terms of quality and quantity when the temperature goes above the optimum range (≥30°C; Thornton and Gerber, 2010; Rojas-Downing et al., 2017).
Agriculture is the dominant source for fulfilling the dietary needs, but seafood also has the importance in the food chain to satisfy the protein, vitamins, minerals, and fatty acids for many societies across the globe (Bogard, 2015; Kawarazuka et al., 2017; Pradeepkiran, 2019). There would be a decline in potential fish production (5–10%) by 2050 specifically in tropical marine ecosystems (Barange et al., 2014; Lam et al., 2016). There are several projections about the expected shifts in fish distribution due to enhanced warming, fluctuations in nutrients availability, and changes in pH (Brander, 2010; Hollowed et al., 2013). Recent findings have shown that a decline in fish production will likely cause essential minerals and zinc deficiency in 845 million people, whereas B-12 vitamin and fatty acid deficiency in 1.4 billion people (FAO, 2016; Golden et al., 2016). A systematic analysis of nearly 5,000 fish farms worldwide reported that 68% of global fish production units have fallen below their potential biomass yield, which will lead to 88% loss of biomass by 2050 (Costello et al., 2016; Gaines et al., 2018; Bradley et al., 2019). Underdeveloped communities are at risk due to their limited resources to access dietary alternatives like fish, livestock, forest farming, and supplements. Additionally, there is a great association between climate change and the prevalence of pests and diseases. There are several risks associated with agricultural stability due to climate change as it will enhance the prevalence of various new pests and diseases (Bebber et al., 2013; Fones and Gurr, 2017). Table 1 represents the pathways of impacts of climate change on overall food production.
Table 1. Impact of climate change on overall food production (Thornton et al., 2009; Connolly-Boutin and Smit, 2016; Phiiri et al., 2016; Biglari et al., 2019).
Insects, pests, and weeds are responsible for decreasing the productivity of major food crops, roughly 25–40%, according to several estimations (Ziska, 2004; Deutsch et al., 2018), despite the fact of limited global data. Fungal attack solely reduces the hygienic food availability by 8.5% across the globe (Fisher et al., 2012; Godfray et al., 2016; Udomkun et al., 2017).
Climate change, mainly the global warming increases the survival rates of insects, pests, and weeds (Bale et al., 2002; Chidawanyika et al., 2019), and temperature variation either toward cold or high ranges also bring some shifts in the latitudinal range of pests and diseases prevalence (Bebber et al., 2013; Deutsch et al., 2018). Indigenous crop varieties lack defense systems against non-native pests (Bebber, 2015; Bebber et al., 2019), which require possible breeding management techniques to cope with those new threats. Geographical mismatches between pests and pathogens may also subvert the biological control management (Donatelli et al., 2017). Climate change and extreme weather events undermine the agricultural production by providing recesses for better establishment of weeds, pests and diseases (Rosenzweig et al., 2001, 2014; Powell and Reinhard, 2015), however, sometimes extreme weather events increase the competitiveness of crops and livestock against pests (Seidel, 2014). Climate change is anticipated to enhance CO2 concentration, which leads to a shift in the composition of weeds and crop plant defense system against pests (Zvereva and Kozlov, 2006; Juroszek and Von Tiedemann, 2013; Myers et al., 2017). Elevated CO2 concentrations make the herbicide and pesticide less effective in controlling weeds and pests (Ziska and Goins, 2006; Varanasi et al., 2016; Ramesh et al., 2017). How food productivity on a global scale is impacted due to climate change is represented in Table 1, and the process of average potential impacts of climatic variability on overall livestock is shown in Figure 3.
Figure 3. Impacts of climatic variabilities on livestock production including policy makings and market demand and supply.
Impacts on Food Quality and Diversification
Climate change impacts food utilization, quality and diversification by influencing food safety mediating through the food supply chain, and nutritional challenges branching through climate change-induced health impacts. Ensuring sanitized utilization of quality and diversified will be more challenging as climate change likely to induce intense and frequent occurrence of extreme events which include drought, floods, cold stress, and heat stress (Raza et al., 2019; Haider et al., 2022). Meanwhile, in face of climate change and extreme events, the utilization of quality, sanitized and diversified food will be more challenging for resource-poor populations due to adverse impacts on livestock, crops, and forest (Marques et al., 2010b; Liu et al., 2013; Hammond et al., 2015). Moreover, climate change and extreme events limit the availability and utilization of sanitized food which subject toward several health risks (Costello et al., 2009; Wu et al., 2016). It has been projected that the occurrence of extreme events and natural disasters will be more frequent and intense posing various key threats to availability of diversified and sanitized food especially to resource-limited communities with more socio-economic conflicts. This would increase the health and nutritive constraints which in turn impacting the overall food security (McDonald et al., 2011; Uyttendaele et al., 2015a; Ziska et al., 2016; Hoekstra et al., 2018). Recently, frequent invasion of old and new pathogens and diseases in crop, livestock and forest farming systems have stimulated the enhanced use of pesticides and medicines which is also threatening the human-health (Tirado et al., 2010; Zhou and Turvey, 2015). Aiming toward getting higher food productions, irregular usage of different chemicals in livestock and fisheries, and overuse of synthetic fertilizers in cropping systems have put the human health at risk. Hence, it is concluded that climate change and intense occurrence of extreme events is expected to the livelihoods unevenly especially in developing and underdeveloped countries (Costello et al., 2009; Pillay and van den Bergh, 2016; Ford et al., 2018).
Impacts on Overall Health and Nutritional Balance
Beyond the climate change impacts on crop productivity, fisheries, livestock, and forest farming, it also influences the nutritional configuration food. Enhanced CO2 levels in the air cause reduction in amino acid production and thereby protein contents in edible parts of crops and also impacting the nutritional value of vegetables (Dong et al., 2018). Comparative analyses among several cereal and legume crops showed the reduction in protein contents in former due to higher concentration of CO2 between 7 and 10%, whereas in later, the reduction was insignificant (Myers et al., 2014; Weigel, 2014; Dietterich et al., 2015). If these shifts in protein composition in plants continue, about 200 million people are likely to suffer from protein deficiencies, and among poor communities, it will get worsen and posing them at high health risks (Medek et al., 2017; Smith and Myers, 2019). Along with protein deficiencies, elevated CO2 also causes a reduction in essential minerals in major food crops. Taking an example from previous findings, if CO2 concentration encompasses 550 ppm, it reduces the zinc (Zn) and iron (Fe) levels by 3–11% in cereals and legumes. Moreover, if CO2 level reaches up to 690 ppm, it reduces the potassium (K), phosphorus (P), calcium (Ca), sulphur (S), and manganese (Mn) in a wide range of food crops (Loladze, 2014; Ebi and Loladze, 2019). More than 1 billion people across the globe are suffering from Zn deficiency, and if CO2 enrichment in air continues, it will bring-in another 200 million people under this deficiency (Myers et al., 2015; Beach et al., 2019). Overall, millions of people are expected to come under the risk of protein, Fe, and Zn deficiency due to increased CO2 levels, and the situation will deteriorate among societies already under the challenges of these deficiencies.
Temperature change stresses either cold or heat stress negatively impact the milk and meat production in livestock. Quality as well as quantity of livestock products is potentially and negatively influenced by temperature stresses (Bernabucci, 2019). Considering milk production, temperatures change especially heat stress has a more important impact on high-quality milk byproducts (Summer et al., 2019). Heat stress negatively impacts the organic and inorganic components of milk which lead toward strong associated changes in the byproducts industry of milk. These changes result in potential, negative economic outcomes to producers and consumers. Dairy cattle are comparatively more sensitive than beef cattle to temperature change especially heat stress, with their higher metabolic rate and higher body heat production. However, beef cattle compensate for increased body temperature by natural homeostatic mechanisms such as urination, panting, and sweating and various behavioral modifications which include decreased activities, enhanced water intake, and limited feed intake (Summer et al., 2019). Hence, it is concluded that at temperature changes especially higher than an animal’s thermoneutral range can significantly impact liveweight gain, milk and meat production, and also animal’s fertility (Thornton et al., 2022).
Impacts on Food Nutritional Components
Access to food containing necessary nutritional components is dictated by political and economic forces. Prejudices based on gender, ethnicism, caste, and wealth hamper attaining the food security goals (Fortmann, 2010; Mearns and Norton, 2010). Climate change aggravates social ostracism through increased competition for diminishing natural resources, socio-economic factors and forced migration (Barnett and Adger, 2007; Hsiang and Burke, 2014). Moreover, climate change also brings in several public constraints that reduce the easy and full access to food that is necessary to fulfill nutritional requirements especially in South Asia, Africa and Middle East (Burke et al., 2009; Kelley et al., 2015; Buhaug, 2016; Levy et al., 2017). Historical data interpretation has shown that temperature change and inter- and intra-group socio-economic conflicts may arise in future decades due to limited fulfillment of nutritional requirements and will hardly hit the areas which are already facing the challenges of malnutrition and undernourishment (Hsiang and Meng, 2014; Buhaug, 2015; von Uexkull et al., 2016; Harari and La Ferrara, 2018). Therefore, such inter- and intra-group social conflicts may worsen the situation of undernutrition, malnutrition and ultimately food security.
Climate change and extreme events impact nutritional capacities of all kinds of communities because it aggravates social as well as economic pressure on the accessibility of quality food. According to the previous studies’ observations, inflation-adjusted prices for major food crops such as wheat, rice, and maize, will increase by 31–106%, considering the climate change mitigation and adaptation measures, rapid population increase, and income growth which will dictate the change in prices more appropriately (Nelson et al., 2018). The income and profit gains may preponderate the prices of expensive diets, and then laborers will get increased wages. Most analyses depicted that higher prices for foods will generally increase food insecurity issues not only for urban people for whom the impact is unequivocal but also for the poor people of rural areas where the majority of the people are net consumers (Ivanic and Martin, 2008; Martin and Ivanic, 2016). Recent analyses about food price versatility and food demand in under-developed countries depicted that higher food prices were linked with an increased reduction in food consumption among all communities, thereby concluding that higher food prices are likely to decline the consumption of the nutrients (Green et al., 2013; Herforth and Ahmed, 2015; Afshin et al., 2017). The overall shifts in the resources and food production are aggravated due to climate change which ultimately cause impacts on crops, fisheries, livestock and forest farming, thereby arising various kinds of nutrition issues under social, economic, and political conflicts.
Ensuring food security is branched beyond the demand and supply of markets. Attaining food security goals considers enough quality nutrition, which is only possible through protecting food against pests, diseases and spoilage. Necessary production and storage conditions will lead to have nutritious and healthy food to fulfill essential nutritional requirements (Hodges et al., 2011; Affognon et al., 2015). Lack of hygiene, poor production, storage and sanitation systems, and increased frequency and intensity of extreme events generally lead to more revelation to pathogens, insects and diseases, limiting essential nutrient intake, disrupting nutritional statuses, hindering normal growth, and development (Guerrant et al., 2013; Ngure et al., 2014; Gizaw and Worku, 2019). An ecological review among 70 countries worldwide between the time period of 1986–2007 showed that ease in access to good sanitation was greatly allied with reducing stunted growth among children (Fink et al., 2011; Fuller et al., 2015).
Future projected analysis for all components of food security (availability, access, utilization, and stability) will get disturbed due to fluctuations in mean change trends of crop, livestock, fisheries and agroforestry productivities, price fluctuations, income variability, pests, diseases and other socio-economic constraints. Meanwhile, lack of volatility, also usually named as stability, should also be considered in climate change projections. Due to climate change, food production patterns change spatially and temporally, and food prices may shift considerably limiting the food access only in reach of resource-rich communities. Yet, there are wider uncertainties in climate change projections and impacts on food system and determinants of food security. Hence, much focused work is required on the volatility of food access and utilization, although most of the economic, physical and biophysical models concluded that future world would experience more issues regarding food insecurity.
Modern World’s Food Production Systems and Their Share in Climatic Variabilities
At the beginning of 19th century, the world’s population was just 1 billion, and three decades before, it has reached around 5 billion, and historical population increase data for last 20–25 years has shown that the global population has been increased by 2 billion (Van Bavel, 2013). With this rate of a growing population, it has been estimated that the global population will encompass 9.8 billion by 2050 and more than 11 billion by the end of 21st century where Africa will be main contributor (Islam and Karim, 2019). To meet this growing population food needs, it is necessarily needed to increase global food production multifariously. The competitiveness and increased food demand have transformed conventional agriculture toward modern agricultural systems through the use of synthetic inputs like increased use of fertilizers, and pesticides to get higher yields instead of following eco-friendly techniques (organic manuring, precision farming, fallowing, crop rotation). The agricultural sector is considered as one of the major sectors to contribute to GHG emissions, and due to increased deforestation and excessive use of synthetic inputs (pesticides, fertilizers), emissions in agriculture have been increased by 13.5% (Lenka et al., 2015; Bonou-zin et al., 2019). Embezzled and excessive use of synthetic N-fertilizers for higher productivity and to ensure food security consequently leads to increased nitrous oxide (N2O) emissions (Shcherbak et al., 2014; Griffis et al., 2017). Production process of synthetic N-fertilizers itself is the cause of many GHGs emissions (methane, N2O, CO, CO2) because of the burning of fossil fuels in the mechanized production processes. Thereby, increased emissions of N2O during the production of synthetic N-fertilizers and application cause a rise in global mean temperature due to its anthropogenic impacts (Wang et al., 2021). Therefore, frequent turn-out of extreme weather events is also caused by global warming led by irregular synthetic input use in agriculture. Water-cycles and quality also suffer from various shifts as synthetic N-fertilizers alter the water chemical properties when they are taken into lakes and rivers. So, water pollution is also being caused by synthetic N-fertilizers and excessive pesticide use in the agricultural sector.
The increased demand for healthy and nutritious food has subjected the small- and large landholders to engage more land area for perspectives other than agricultural and forest farming, leading toward an increased deforestation. Deforestation exacerbates climate change and frequency of extreme events as crop and forest farming is considered as the nature purifying components due to capacities to absorb CO2 and release oxygen (O2). So, deforestation appreciably stimulates the climatic variability and occurrence of natural disasters mainly through global warming, salinization, soil erosion, and desertification (Marengo, 2020). Fossil fuels are required to run the agricultural processes like production (pesticides and synthetic inorganic fertilizers), and processing (packaging, transportation, and distribution) which account for 1.2% share in agricultural GHG emissions (IPCC, 2015); however, this share does not include the emissions of agricultural inputs.
Preference-based food production also has a contribution to climatic variability. The luxury life-styles of upper- and middle-class populations and urban livelihoods have strongly changed the food preferences. Most of the nutrition intakes include meat which has increased by more than 350% in the last 50 years, and meanwhile livestock showed a major share in GHGs emissions (Sanchez-Sabate and Sabaté, 2019). Provision of a preferred meat diet has enhanced livestock farming which requires 20% more energy in production and processing than vegetables and cereals (Grossi et al., 2019). According to various estimates, livestock rearing for meat production emits huge amounts of CO2, which accounts for nearly 14% of all human-based GHGs emissions (Rojas-Downing et al., 2017). Based on the evidences, it is very clear that food production, processing and consumption have direct and indirect influences on climate variability. The enhanced emissions of anthropogenic gases speeds up the process of global warming ultimately leading toward natural disasters. Food production and processing influence food security as excessive use of synthetic agricultural inputs can damage the soil properties, and thereby reducing the ability of soil for crop or livestock production.
Future Directions, Suggestions, and Challenges in Action Agenda
Addressing the Climate Change Impacts and Achieving Food Security via Sustainable Development Goals
Now a days enough food is produced per unit area to feed the rapid growing population, however, yet nearly 811 million people are acutely suffering from undernourishment, amongst signals of decreasing impulse toward attaining zero hunger (FAO, 2021b). Meanwhile, malnutrition is sharing a massive toll across several developing and developed countries. Whilst, stunted growth, low height and decreased weight for age are gradually declining, where more than two billion adult individuals, teenagers and children are now obese or overweight (Ferreira et al., 2020). Hence, the consequences are becoming more adverse regarding public health, national economy, livelihoods, and quality of life. These adverse trends coexist with the abating availability of land resources, increased soil and biodiversity degradation, and more intense and frequent extreme weather events, where the impacts of these extreme events and climate change on agriculture amplify the situation. During a special meeting held on 25th of September 2015, the 193 members of the United Nations followed the different Sustainable Development Goals (SDGs; total 17) of the 2030 action-based Agenda for Sustainable Development among food systems, global objectives expected to assist the actions of the global communities over the next 15 years (during 2016–2030; FAO, 2021b). This 2030 Agenda of SGRs presents a fairer vision for more peaceful world where no one is left behind. All food systems including agriculture and agro-forestry are critical to achieve the intact set of SDGs where a special focus will be granted on rural development and action-based investments in different farming systems (crops, livestock, forestry, fisheries and aquaculture; Gregersen et al., 2020). This will empower the whole society with more powerful tools in alleviating the poverty, undernourishment, and hunger, and will lead toward more sustainable development. SGDs involve following 17 key points (FAO, 2021b) designed by commutative decision of United Nations (UN) Agency:
• Ending poverty in all its forms and everywhere
• Ending hunger, achieving food security goals, improving healthy nutrition, and promoting sustainable agriculture systems
• Ensuring healthy livelihoods and promoting well-being without any discrimination
• Ensuring inclusive and quality awareness and education for all communities while promoting long-term learning
• Achieving gender equality and empowering all especially women and girls
• Ensuring the availability of sanitized water with sustainable management measures
• Ensuring access to economic, affordable, reliable, sustainable and clean energy resources for all communities
• Ensuring and promoting inclusive, comprehensive and sustainable economic growth, employment opportunities and reliable working systems
• Building more resilient household and market infrastructures, transport systems and promoting sustainable industry development while fostering innovations
• Reducing inequalities within and among different nations
• Making cities more inclusive, safer, resilient to disasters and sustainable
• Ensuring sustainable food production and consumption patterns
• Taking urgent and necessary actions in combating climate change vulnerabilities
• Conservation and ensuring the sustainable use of the marine resources
• Sustainable management of forests, combating the desertification, hindering and reversing the land degradation process, and halting biodiversity losses
• Promoting justice, peace and inclusiveness among societies
• Ameliorating the global partnerships for sustainable development programs
However, the success of the SDGs reposes to a greater extent on an efficient monitoring, review and follow-up pathways as the foundation of this new global framework for mutual accountability (Glass and Newig, 2019). Moreover, healthy governance among institutions is necessary to achieve the SGRs through important approaches which involve participatory measures, reflexivity, policy coherence, mitigation, adaptation and most importantly the democratic institutions.
Action-based research is necessary to inscribe the climate change impacts on food security and the worldwide challenge to undermine the GHGs emissions from the agricultural sector. Past research findings have defined the dire need for both increased changes in agricultural production systems (like introducing new crop cultivars and better management measures for crops, livestock, fisheries and agro-forestry), and transformational changes (like trade shifts, diet changes, and motivating several environmental services; Hedenus et al., 2014; Newell et al., 2014; Baldos and Hertel, 2015; Hertel and Baldos, 2016). Immediate challenges inclined during coping with climatic variability and its impacts on global food security are described below;
Challenges in Implementation and Suggestions for Action Based-Research
Incentivized and Motivated Research
Food security and climate variability research are usually afflicted by uncertainties that require a focus on delivering-based research objectives involving local farmers and development agencies to share their experiences (Heal and Millner, 2014b; Naess et al., 2015; Campbell et al., 2016). Implementation of incentivized research and expansion of innovative research gains are usually very challenging (Figure 4). Therefore, narrowing the gap between research incentives regarding climate change impacts on food security and implementation is necessary. The expansion of uncertainties in climate change research makes the practical action less justified. Based on the experiences and findings of previous studies, it has been suggested to attain aims through action-based research, and dissemination of research experiences where focus of the research should be on the principle of “allocating the resources through needs, research, and capacity” (Fullana i Palmer et al., 2011; Vermeulen et al., 2013; Vermeulen and Campbell, 2015; Campbell et al., 2016). Following these, another principle should be undertaken based on tackling the powers and influences through understanding and engaging where stakeholders make usual decisions. Making efforts to make this principle stronger will make future research more optimized and focused for a better decision-making process among stakeholders (Naess et al., 2015; Döll and Romero-Lankao, 2017). Key mechanisms for better decisions, engagement of dialogs, and joint learning from experiences can only be possible if multi-stake holding platforms are ensured (Bhave et al., 2016; Ampaire et al., 2017; Huntington et al., 2017). Processes to develop climate scenarios need to be more struggled and accurate to empower the higher authorities and stakeholders for better policy making and implementation (Vervoort et al., 2014; Mason-D’Croz et al., 2016; Palazzo et al., 2017). No matter which kinds of processes or measures are taken, success measurement tools should show the nurture end results like policy making and its implementation. The incorporated tools and disciplines are customized following current and future challenges and opportunities. Although modeling regarding climate change plays an important role more often, but engagement process for stakeholders should be devoid of it to avoid more uncertainties. Evaluation of alternative climate scenarios, traversing the trade-offs, and clarifying hypotheses can be attained through modeling projections (Campbell et al., 2016; Little and Lin, 2017). Moreover, based on available uncertainties and knowledge gaps, interactive research including researchers and stakeholders should be ensured and must take realistic approaches to tackle current and future challenging climate change impacts through possible mitigation and adaptation solutions (Beven and Alcock, 2012; Beven, 2016; Krysanova et al., 2018).
Figure 4. Important components of action-based research critical to ensure food security research gaps.
Expansion of Possible Actions at Local, Regional, and National Levels
Uncertainties in climate change research and impacts of climate change on food security have made the research implementation process more challenging i.e., how the experiences could better be dispersed at three different scales, viz. local, regional, and national. Availability of natural resources is becoming scarce, and therefore, research should be more targeted with multiple potential benefits. The implementation of any research hypothesis should be driven with more care and short- to long-term prioritization (Bauer et al., 2015). Inscription of impacts of climate change on global and regional food security requires context-prioritized research conduction, actions and experiences sharing, and cross-dimensional and multi-level experiences implementations. Sector-based policy-making and action plans improve the collaborative work and implementation process in an optimized and efficient way. An effective approach for policy making and implementation intends to integrate the collaborative measures among different sectors involving food production, processing and storage which can be applied from local to national scale (Hallegatte, 2009; Nassopoulos et al., 2012; Orsato et al., 2017). For example, policy makers intend to bring some on-farm developments through technical interventions, while collaborative implementation must include supportive tools for wider development of technologies among different sectors.
Criteria for better implementation of hypothesized technologies should explore the tools having high anticipated outcomes, and collaborative impacts through linked local prioritizations and knowledge experiences. Thereby, adopting such feasible and potential tools make easier to address the current or near-future shifts, threats, and challenges (socioeconomic, economic, social, and political) associated with climate change impacts on food security (Notenbaert et al., 2017). Time of implementation and disbursement of specific research-based plans and experiences are very critical because some tools are necessary to be implemented immediately like climatic variability assessment. Whereas, remaining implementations can be can be shared later in the near future through projections of climate fluctuations and specific policy measures for capacity building. Collaborative priorities can be recognized through decision-support and policy implementation tools like wider-narrow climate modeling tools, local-national group scale planning measures, and such approaches can pliably be regulated at different levels accompanying multiple stances (Campbell et al., 2016; Challinor et al., 2018; Nikas et al., 2018). Potential mitigation and adaptation measures with optimized flexibilities are developed through collaborations between researchers and stakeholders’ operated processes. Because, actual and ascertained risks, uncertainties in research results, and interests may shift with the concerns and priorities of researchers and more obviously the stakeholders. Comprehensive approaches for focused research conduction and capacity-building are necessary for local as well as national scale benefits of any research experience sharing and implementation through local as well as national governments, respectively (Campbell et al., 2016; Chaudhury et al., 2017).
Moreover, long-term knowledge sharing through proper education and short-term training programs at local level may have key roles in affecting the design and implementation of any successful mitigation or adaptation measure. Short- and long-term trainings and experience sharing workshops may prove useful when customized to specific needs of attendees, are participatory in designing and implementation and tailored exploiting context-particular illustrations (England et al., 2018; Mataya et al., 2019). Action-based planning, on-the-job training, and extended leadership after experience sharing trainings can also be effective, but are rarely implied. Challenges that hinder improved capacity building associate not only to training and workshop design and structure, but also the exiguity of knowledge sharing assessments and the organizational structure. Stringent collaboration and monitoring of experience sharing efforts and befitting institutional assistance for action following sharing executions can be effective to improve mitigation and adaptation planning.
Ensuring Adaptation Measures Against Climate Vulnerabilities and Risks
Ensuring adaptation measures against distinctive climatic vulnerabilities and risks is more challenging than the above-mentioned challenges (Figure 5). Climate change vulnerabilities include various geographical, social, economic, and political elements on which an individual’s or household’s resources are based to ensure food security under the geometry of climate variabilities (Sugden et al., 2014; Bellman et al., 2016). Gender-based differentiations impact households’ subjection to vulnerabilities and risks and provide tools to control resources, technologies, and services (Quisumbing et al., 2015; Johnson et al., 2016). Human health security especially women are usually negatively impacted in situations of declined household resources under climate change and natural disaster conditions like droughts and floods which impede the investments and on-farm activities (Sugden et al., 2014; Ani et al., 2022). Adaptation measures are affected under conditions where women are devoid of the necessary information and lack extended participation in social institutions under climate shocks especially in rural areas (Alam et al., 2017; Wood et al., 2017; Biesbroek et al., 2018). So, to undermine the inequalities and enhancing adaptation process, it is needed to ensure the optimized implementable actions at every scale branching from national to local. Gender-based suitable information resources and contexts to address the activities, attentiveness, literacy concerns, and access requirements are needed to make wider ingress against climatic variabilities. Moreover, gender-receptive and farmer-guided technological upheavals are essential to design improved and sustainable food systems (Waters-Bayer et al., 2015; Lemessa et al., 2019). Sustainable food systems with improved mitigation and adaptation measures are inevitable to reduce the gender and other socio-economic constraints and enhance multiplicity, which can uplift food production to fulfill household’s nutritional necessities.
Figure 5. Important components of adaptation technology system (ATS) and adaptation measures for a resilient food system.
Joint Mitigation and Adaptation Approaches Ascertaining Food Security
Food production should increase by 50% by 2050 to meet dietary requirements of rapidly increasing population (Alexandratos and Bruinsma, 2012; Hunter et al., 2017), but this increase will boost GHGs emissions, especially in regions with low productivity rates. So far, to reduce global warming trend by 2°C by the end of this century, IPCC climate scenarios have depicted that agricultural and human-induced GHGs emissions must be reduced to a greater extent. To meet projected food security goals for increased population through minimized share in climate change, sustainable food production systems need to be developed for low GHGs emissions to avoid environmental pollution. Therefore, it is very challenging to identify measures and approaches to fully secure food security goals under low GHGs emission pathways (Figure 6) as human-activities to ensure food demands and other livelihoods increase share to climate change (Myers et al., 2015; Golden et al., 2016, 2017; Smith et al., 2016; Smith and Myers, 2018). If such measures and approaches are identified in food system and food supply chain, communities can easily tackle joint challenges regarding mitigation and adaptation.
Sustainable agricultural approaches like confiscating carbon release and reducing future carbon emissions are promising to meet food security aims. Sustainable agro-forestry measures increase production, enhance use-efficiency for inputs, reduce food losses and ensure environmental safety through reduction in carbon emissions. Future food productivity can be gauged using approaches to reduce GHGs emissions relative to food production for identification whether a relative increase in production reduces the GHGs emissions (Murray and Baker, 2011; Cavigelli et al., 2012). Mitigation and adaptation approaches in face of climate change should narrow down the gap of GHGs emissions through increased crop and livestock production and reduce GHGs emissions to secure food security under sustainable food production systems (Sylvester, 2019). Many technological adjustments are available for incremental change, including GHGs emissions in cropping systems and livestock farming, and undermining the emissions from excessive fertilizer inputs. Many of the management practices in agricultural systems have already proved promising and sustainable in terms of food production without compromising environmental safety. For example, alternate wetting and drying system for irrigation and eco-efficient fertilizer managements (green manuring, organic manures) can be adopted as agronomic adaptations to reduce water and nutrient losses, thereby increasing resource use-efficiency with increased yield. Aerobic rice can be an eco-efficient transformation to traditional rice system (Farooq et al., 2022) to sustain the rice production with increased input use-efficiencies under future projected climate change and scarcity of resources (Fukai and Mitchell, 2022).
Concrete affirmations are required to make agree the investors and government agencies about the approaches to decrease GHGs emissions in agricultural systems with increased net production. Robust information is required about financial practicability and investments needed to blow-up approaches that also include costs and benefits for local farmer communities to replace their conventional approaches with new ones with good maintenance ability. Progressive agricultural production systems, agroforestry, different agro-ecological zones, and different geographic regions should be targeted where the implementation of practices to reduce GHGs emissions is feasible without negative impacts on the sustainability of the respective systems (Altieri et al., 2015). This implementation requires comprehensive scenarios involving shifts in climatic variable, food production, food demand and land-use. The positive and negative impacts of the preferred practices on already vulnerable communities would require to be foreseen and tracked to gain comprehensive future development goals.
Substitutional innovative modifications in agricultural and agroforestry systems are required to create more promising conditions where the levels GHGs emissions can greatly be reduced. Such approaches may include breeding measures aiming to reduce methane emissions in paddy fields, large-scale crop breeding and agronomic management measures to incorporate nitrification inhibitors in cereals, and transformational techniques in livestock to reduce the waste of food and organic manures. Policy measures, motivational approaches, knowledge and experience sharing and implementational optimized targets should be specified to encourage politicized actions and investments to extend the adaptation and mitigation under climate change to ensure food security at all levels. Developed and developing countries are now sharing several common adaptation priorities considering agricultural sector under more threat, protecting water reservoirs and resources, concerning toward climate change impacts on health, investigating the risks pose to the energy sectors, undertaking the safety of local livelihoods, and efforts to reduce the climate change risks (Hossain et al., 2017). Several underdeveloped countries have arranged several climate changes bills, national climate change strategy and national climate change action plans which identify the state’s priorities toward climate change risk reduction (Mall et al., 2019). Some developing countries including South Asian states have constructed climate change trust fund, and climate change resilience fund to invest in actions across riversides, environmental protection and disasters management (Dicker et al., 2021). Some developing states have established national councils for environment and sustainable development. However, these states still have limited progress at sub-levels and lack the capacity development for management. Several underdeveloped countries with aid of internationally developed nations have updated their medium-term development plans branching from national to grassroot district and municipalities levels because local climate change adaptive facilities assist adaptation strategies on pilot basis (Hertzler, 2007; Buurman and Babovic, 2016). However, insufficient and limited institutional capacities development, economic budget constraints, and inadequacy in attention to the potential of plans to develop climate resilience have impeded the potential merits of climate change adaptive policy plans in developing and underdeveloped countries. There can be several critical takeaways;
• Particularly, the key differences among different countries cannot be attributed to the development statuses where the states with higher stages of capacity development, are less actively involved in adaptation planning and policy developments than underdeveloped countries. Likewise, adaptation engagements also cannot be attributed exclusively to the fluctuations in exposure to climate stresses and interpret vulnerabilities to climate variabilities. Instead, adaptation progress seems to be impelled primarily by peak government leadership, and impacted by the precedencies of development assistance agencies in every state (Sovacool et al., 2017).
• Across all of the major countries worldwide, agriculture has been identified as the first priority for adaptation against climate change where it has been the focus of the major proportion of adaptation programs during recent years. This is possibly very unsurprising presented the climate-sensitivity of food production from crops and livestock, different governments’ wish to fulfill the food security demands of their populations, and the proceeding importance of agriculture as a major source of employment in various developing states (Sitati et al., 2021).
• The capacity development of governments at sub-levels in identification, prioritization, mainstreaming and implementing adaptation programs seems to be very restricted. Primarily in states where decentralization is ongoing, strict efforts are required to improve the capacity of local governments, communities, and institutions to take on their assigned duties. Greater accent may be constructed on elucidating the roles and duties of governments at different levels and launching essential institutional managements (Williams et al., 2020).
• It is necessary to assess the efficacy of financial investments in adaptation and mitigation action plans by governments of developing and underdeveloped countries along with their assisting partners. Moreover, necessary monitoring programs are essential to audit the overall progress in implementation of adaptation policies, plans and programs. Significant financial investments are needed to constitute, handle and properly utilize the investigation, monitoring and evaluation systems (Ramoutar-Prieschl and Hachigonta, 2020).
• Inadequate attention has been given in meeting adaptation requirements among many developing and underdeveloped states in various sectors (agroforestry, health, fisheries, livestock) designated as being primarily more vulnerable to the climate change impacts. The reasons for this ongoing trend are uncertain; they could be due to fluctuating national government preferences internally and externally, changes in directions on immediate development requirements, or the lack of substantial international and national financing institutions for adaptation in food providing sectors (Aryal et al., 2020).
Role of Financial Inclusions in Ensuring Food Security
Agriculture is considered as the main direct or indirect source of employment and income for most of populations in developing countries, however, nearly 1.4 global population are world’s poor holding only 1.25 US dollars income a day (Rahim et al., 2014). According to an estimation, approximately 80% of the food utilized among developing nations by different farming systems of smallholder farmers (Ricciardi et al., 2018). But these farmers are generally vulnerable due to food insecurity challenges, and at the peak point of addressing the problem worldwide. Most of the smallholder farmers live in areas that are usually lacking easy access to necessary financial services, therefore, exposing them vulnerable to disasters and more prone to low-risk, low-return investments which subdue food productions and net incomes. It has been summarized that several supporting approaches including financial services at different scales can assist in ensuring and achieving various incentives of SDGs and promoting food security (Gil et al., 2019). Easy access to various kinds of financial services can support farmers get profitable investments that enhance their productions. Considering at a macro scale, higher food productions enhance the total food supply worldwide and directly add to the gross domestic production (GDP) of the resource-limited and poor communities predominantly in countries of Asia and Africa where economies are mainly based on agriculture. While at a micro scale, increased food yields contribute to enhance household income and achieving food security for nearly 1.5 billion global population striving in smallholder households (Rahut et al., 2022). The formal and informal financial services greatly share their role to reduce the risks and vulnerabilities to food systems in face of climate change (Figure 7).
Generally, financial services and products that are contrived for the particular demands of farmers are effective in efficiently increasing input access and elevating outputs. It is well known that farmers’ income generates all at once during food harvesting time, however, they need finances at other times of the season to acquire essential inputs and to smooth their utilization between food harvests. Sometimes the farmers are subjected to severe natural disasters that can demolish their farming outputs and expend their investments, and meanwhile several conventional financial services or even the financial products created for the urban poor communities may not suit farmers’ requirements (Chapagain and Raizada, 2017).
Different researches have focused to address the seasonal variation in smallholders’ income by providing easy access to state-oriented consumption and utilization loans through involvement of stakeholders at national and local scales during the hunger and stress seasons (Bonuedi et al., 2021). The cognition to smooth income empowered farmers to generate larger and, in few instances, to a greater extent profitable investments that boosted outputs and food utilization. An analysis conducted in Sub-Saharan Africa depicted key importance of input loans structured and designed specifically around the particular requirements of smallholders with terms and conditions to acquire a large lump sum amount during food production and repayment of the loan after harvest (Beaman et al., 2015; Fink et al., 2020). These collaborative loans oriented and supervised at state level involving public and private sectors can help in increase investments in farming inputs and subject toward an increased food production. African-based analysis on microcredit showed no measurable impacts on profits, however, it demonstrated the potential benefits of microcredit products and other microfinance services structured to address the seasonal credit requirements of farmers. This analysis depicted that pending the potency and efficiency of the loan-giving stakeholders such as agricultural banks, the measures like the inventory credit system are profitable and beneficial in assisting the credit access to smallholders (Dossou et al., 2020). Moreover, it is also necessary to combine the credit supplies with financial education, training, and technical support in a food production system for example the contract farming (Ncube, 2020).
Likewise, spreading weather-based insurance programs in low income and more vulnerable countries can also help the food producers invest in riskier, speculative and enhanced profitable input investments, which ultimately again subjecting toward an increased food production (Sibiko et al., 2018; Hirsch, 2020). In fact, it has been observed that insurance programs were even more effectual than credit to increase input investments (Carter et al., 2018; Chemeris et al., 2022). However, take up of insurance services among developing and underdeveloped countries remains low, and the provision of credit is usually constrained as it is considered very risky by financial departments. During missing or thing market conditions awareness and provision of simple products like savings bank accounts can also subject growers to acquire bigger investments in farming (crops, livestock, fisheries, forestry) inputs. Moreover, savings bank accounts are also considered as a cost-effective service for financial departments to pull new customers. To mitigate the negative impacts of climate change, it is necessary to undertake green banking initiatives through public and private sectoral partnerships involving banks, stakeholders and policymakers, although the approach used so far fractionally varies between developed and developing nations (Park and Kim, 2020).
Providing smallholders with awareness and service to automatically deposit some portion of their harvest revenue in savings accounts with involvement of local banks have been very effective (Stage and Thangavelu, 2019). This service impacts were observed and found that farmers who were offered and availed the choice of directly depositing some of their harvest proceeds into the savings bank accounts increased input investments by 13% and production by 21% relative to other who constrained this option (Brune et al., 2016). Moreover, this service also had potential positive impacts on household spendings, which strongly ensure food security for the smallholders. Summarizing the whole discussion, it is concluded that well-structured financial inclusions clearly exhibit that empowering smallholder farmers through financial services can increase income, input investments, and food production, strongly subjecting toward an improved food security. In this regard, government policies, stakeholders, and collaboration of public and private sectors in necessary for improved food production which depict a scoping retrospect to aware researches and policies for healthy and nutritious food commodities (Lencucha et al., 2020). So far not all financial products help farmers in developing countries especially smallholders because of having limited access to conventional financial inclusions. One major reason is that most of the smallholders live in rural regions, and far-off from most of the formal financial service institutions (Fan and Rue, 2020). Another explanation is that many financial services do not consider the seasonal investment and revenue opportunities of farmers or the sources of risk they confront, so farmers may not be entitled for or concerned in adopting the financial products, and they may not be beneficial even if they execute. Designing financial products around farmers’ particular financial requirements during any stress period can have potential impacts at micro as well as macro scales on improving food security for the poor communities of worldwide (Goodwin et al., 2022).
Agriculture farming (live is facing major challenge in fulfilling the global food security aims and is projected to face even severer challenges under future climate change. Table 2 describes the overall goal of how and where improved financing is necessary and can be utilized to attain the joint objectives of adaptation, mitigation, and development against climate change especially in developing and underdeveloped nations. Whereas, Table 3 describes which internation and national funding agencies are currently working worldwide. Yet, agriculture is considered as much under invested sector which has vast potential areas for investments appropriately to help the developing countries in maintaining sustainable food production under climate change. It has been summarized that mainstreaming adaptation and mitigation approaches into agricultural development strategies, encouraging capacity building approaches, and concerning multi-stakeholders’ requirements are main experiences for successful finance aiming sustainable food production and achieving food security under climate change. Joint financing by different national funding institutions, NGOs, donors, national, and international climate change funding agencies (World Bank, UNO, Green Climate Fund, USAID, USDA, EU Global Climate Change Alliance, etc.) can play their key role in reducing climate change impacts and ensuring food security.
Table 2. Potential and necessary areas for financing in adaptation and mitigation programs to reduce the risks to food security in face of climate change.
Table 3. Different international and national funding agencies in different continents currently working to address the issues of climate change and risk management.
Proactive Involvement of Stakeholders to Solve the Issues of Food Insecurity
Multi-stakeholder engagements are indispensable in the development of public benefiting policies looking to encourage innovations in the face of multidimensional and complex challenges of climate change impacts on food security (Saint Ville et al., 2017). Globally, the ministry of agriculture primarily comprises two kinds of stakeholders, firstly the “policy members” which involve planning division, administrators, technocrats; secondly, the “extension members” having incentives to disperse the policies effectively. Policy members are given the tasks to efficiently manage the approaches to integrate all stakeholders in the planning, investigation, implementation, and evaluation processes (Saviolidis et al., 2020). Therefore, they play a key role in assisting the multi-consultative participatory processes. Moreover, multi-stakeholder engagement is necessary to ensure food security in areas contending with complex farming systems, and food insecurity issues. It has been observed that while being utilizing the multi-stakeholder approaches in developing nations, the stakeholder participations were restricted due to several factors with comprehended negative impacts on a particular policy coordination, integration and acceptance by stakeholder (Gaihre et al., 2019). There is a great importance of multi-stakeholder interactions in the design of policy development and implementation to improve food security. Figure 8 illustrates how policy developments and implementations drift away from narrow single dimensional measures toward multi-stakeholders’ coordination.
Figure 8. Importance of interlinked multi-stakeholder interactions to better address the food security challenges.
Informal and formal stakeholder interaction in the food production systems is necessary to assist the process of policy development and implementation at wider scale (Mohammadi et al., 2022). These interactions involve the function to serve as a think tank to advise the group on emerging challenges, proposing measures to optimized interventions, and proper monitoring of the policy framework. Farmer certification programs, provision of interest free loans to particular farmers likely to be more exposed to shocks and vulnerable, and relationships building between stakeholder and farmer are necessary for strikingness and positive impacts of stakeholder policies for food system and revenue generation. However, higher distrust level has been existing between smallholders and some stakeholder members that served to restrict the mutual knowledge streams required to support the development of food value chains (de Janvry et al., 2019). The major reason behind this is specific farmers usually trust their farmer colleagues rather anybody else holding an authority. Future approaches to adjudicate the complex challenges of food security in developing and underdeveloped countries, will likely in need of potent collaborations across different government ministries, improved rapprochement of policy constraints, and better policy innovations involving multi-stakeholder groups via the business of boundary organizations. Such approaches may have the capacity to reduce food security challenges via building more adaptive and pliant institutions, improving knowledge sharing and learning, and building trust among different stakeholders in the policy network (Breeman et al., 2015).
Role of Education and Awareness to Tackle the Issues of Climate Change Impacts on Food Security
Educating the locals about climate change impacts and awareness regarding impacts specifically on food security can assist in providing the active and dynamic knowledge about the values development; transformation approaches and acceptance; and imply knowledge generation, ultimately helping the local communities in creating and molding their basic strengths, abilities, knowledge, behaviors, skills and attitudes (Goldman et al., 2020; Smederevac-Lalic et al., 2020). Further, it helps the individuals in different social communities regarding the climate change challenges aiming toward managing better quality food systems and environment concerning food security (Rahman et al., 2014; Unsworth et al., 2016). In this regard, various studies have been conducted which provide theoretical and statistical indications, in characterizing the existing gap regarding actual statuses of pro-environmental behaviors, education about food security, environmental knowledge, adaptive capacity, and awareness (Geiger et al., 2019; Li X. et al., 2021; Ferreira et al., 2022). Similarly, adaptation approaches in face of climate change to ensure food security include variations in managing agricultural practices (fisheries, livestock, crops, agroforestry; Mumtaz et al., 2019; Aslany and Brincat, 2021). However, implementation of adaptation approaches is a complex, multi-dimensional, and multi–scale process, and most appropriately defined as shifts to strengths, behavior and economic structures so as to distill sensitivities of different communities in face of vulnerabilities and scarcity caused by environmental change.
Moreover, knowledge about adaptation approaches linked to food systems might include awareness about livestock breeding and diversified managements of crops; managing the land-use measures; shifts in the strength of food production which thereby involve shifting the land fragmentation (in case of livestock production) and the crop allocation; soil conservation practices; farm intensification and improved irrigation practices; and innovations in the techniques of farming processes (Chen et al., 2018). But there are certain challenges which squeeze the climate change awareness, knowledge about impacts on food security determinants and adaptation approaches vary from nation to nation and region to region (Abbasi and Nawaz, 2020). The issues and challenges about the education, and awareness to undertake adaptation approaches in face of climate change aiming ensuring food security are multidimensional, and recent studies have concentrated on several limitations to the climate change awareness and the adjustments besides apparent climatic and non-climatic agents of climate vulnerability, mainly in the developing and underdeveloped countries. Several studies have recommended that in face of climate variabilities, experiences are induced by both climatic (drought, temperature, floods) and non-climatic elements (limited availability of agricultural equipment and technologies, and reduced income) and therefore, it turns to be highly difficult to apprehend the intermix of such variables that aggravate the vulnerabilities of households against climate change (Jamshidi et al., 2019; Ashraf et al., 2021; Shah et al., 2021).
Region- and location-specific along with need-based information systems for farmers are necessary which will help in improving adaptive capacities by assisting decision making at basic level. Meanwhile, it is important to empower the locality-wise farming communities so that they evolve appropriate mechanisms for short- to long-term adaptation measures to reduce the uncertainties, vulnerabilities and risks caused by climate change (Asrat and Simane, 2018; Hansen et al., 2019; Stringer et al., 2020). Information, knowledge and awareness about climate change impacts assessment on food security must be regarded as one of the major media themes and be integrated as a matter of regular deliberated discussions in print and electronic media. Farmers must be provided with easy access to credible, applicable and well-timed information through advanced information and communication technology tools multi-collaborations of concerned government departments and stakeholders. Alongside, grassroot level campaigns, conferences, training workshops, awareness seminars, electronic media talk shows, timely declaration of stressful days and incorporation of climate change impacts on food security in conventional education curriculum are few strategies meriting government tendencies (Abbasi and Nawaz, 2020). Lastly, interdepartmental collaborations are crucial to hasten the implementation approaches, improve knowledge-based proper decision-making, encourage the climate and food security research and construct climate policies with strong scientific basis (Saina et al., 2013).
Conclusion
The first three parts of this review focused on the climatic variability and its direct and indirect impacts on determinant of food security across the globe. There are still fundamental uncertainties related to the type and extent of climate variability, the responses of crop plants, animals, forests, human beings; and optimized adaptation measures in face of that irregular and uncertain variabilities. Although these uncertainties estimate exact future food production changes, however, it is clearly evidenced to be prepared for a wider range of potential negative consequences. Moreover, this review evidences that climatic variability is generally inclined against the environments which are already under climate fluctuations and have limited resources for mitigation and adaptation. Most of the cases represent that more focused and highlighted research priorities will reduce the uncertainties regarding future climatic projections. Describing the regional food priorities at a community level is very important, for example, estimation of food availability to know about the nutrition and health impacts branching from temperature change like cold stress or global warming and elevated CO2 levels. But this estimation only provides the evidences about the food availability rather than predicting actual access and intake of food across income differentiated communities and inadequately describes the food distribution at national and sub-levels. Additionally, there is a lack of global literature regarding the nutrient composition of a respective food and, if available, only restricted to several food databases that have not been rationalized for many years. Globally, we are facing an understanding and knowledge gap about people food access and intake for future that the dietary requirements for essential nutrients will be fulfilled, how and to what extent the climatic variabilities will impact crop, livestock, fisheries and forest farming at regional scales, and which health issues may arise in the near future.
Climate change, food production, and food security are all interconnected and entwined. Shifts in one bring direct or indirect negative influences on others. For example, a fast-growing population raises food insecurity issues; tackling such issues leads to a rise in food production through agricultural managemental measures (deforestation, extensive use of fertilizers and pesticides), which ultimately worsens the climate change process. Moreover, energy usage in crop production, fisheries, livestock, forest farming, and food processing processes accelerates the climatic variability. Frequent and intense occurrence of natural disasters due to climate change and impacts on food system (crops, livestock, fisheries, forest farming) and food security determinants need deep interactive research-based analysis for future where changes in one may cause adverse and diverse impacts on the remaining. It is very important to have deep insights into all of the determinants of food security and multi-sectoral impacts that influence the overall food security in face of climate change which are necessary to widen the adaptation and mitigation processes and ensuring food security. Moreover, an enormous range of factors (political, economic, and social) along with climate change and extreme events that share in food insecurity issues should also be considered to alleviate the research gaps of climate change impacts on food production (livestock, crops, fisheries and forest farming), availability, access, utilization, and stability.
Limited-researched areas and gaps include climate change impacts on wide cropping system challenges (such as value chains, value addition, crops in landscape contexts), on livestock and fisheries farming systems, on pathogens and new diseases, and on food security determinants other than merely on production. Disregard of uncertainties in projections of climate impacts to food systems and limitations in crop and climate modeling, it is evidenced that climate change impacts on food security will be more adverse, and therefore we advocate and urge for more focused research that will directly share the actions required to harness food security issues. Meanwhile, food systems will need some transformations in future decades, however, there are few immediate challenges. Firstly, to modify the culture of research basically to concentrate on outputs, where extensive engagement of multi-sectors will be required. Secondly, to design, contrive and trial different portfolios of alternatives where solutions will be extremely context-specific, therefore, it is needed to focus on highly prioritization approaches for the welfare of all kinds of communities locally and nationally. But this will also require extensive stakeholder engagement for targeted benefits. Thirdly, to achieve socio-economic comprehensions via an emphasis on people who are already more vulnerable to climate change and extreme events. Lastly, to address and consideration of mitigation and adaptation approaches together regarding food security, at local, regional, national and global scales. To meet food security in face of these challenges, climate and food sciences must work in collaboration with professionals, stakeholders, and policy-makers, to formulate key options in fulfilling current and future requirements and capacities, most importantly learning from gained experiences.
Future Directions
In spite of flouring research work over the last decade, there remained impacts of climate change on food system and food security unknown. Having a better understanding of past and future climate change projections and evidences on overall food security determinants will be helpful to a great extent in achieving future food security goals. Strict consideration during research about climate change impacts on food security in terms of political, social, economic, and scientific consequences will ultimately reduce the uncertainties and be helpful in implementation of research experiences. However, some basic uncertainties will always interrupt because they are synchronized with climate change projections, climatic variability with time, and GHG emissions’ role in climatic variability. To overcome the uncertainties in climatic research, there is a strict need to focus on basic challenges regarding climate research. Firstly, it is very necessary to have an integrated understanding of food security; there is a need to find out the assemblage of authentications about climatic variability and its impacts on all components of food security. Secondly, there is a need to approach and model the exhaustive impacts of climate change on food security in terms of political, social, and economic consequences. Thirdly, it is required to have in depths future climate change projections and impacts on food security from global to regional to national to local, thereby, it would be easier to have sound climatic adaptations in food systems. Lastly, food system dimensions are totally dependent on the human behavioral reactions to actual and discerned climatic variabilities; therefore, it is requisite to have the blended human behavioral responses regarding climate change impacts on food utilization, availability, access, and stability. Addressing the above-mentioned four challenges will help in achieving the food security goals with a better understanding of climate change, food security, undernourishment and hunger.
Conclusive policy measures and action agenda is the need of time to reduce the food insecurity issues. There exists a large production gap between theoretical and practical crop, livestock and agroforestry productivities among many regions in this modern and innovative world (Lobell et al., 2009; Mueller et al., 2012; Chapagain and Good, 2015). Green revolution measures (adopting new crop cultivars, optimizing the use of inputs, developed irrigational systems) brought agricultural developments to many countries (Branca et al., 2011; Pingali, 2012; Aryal et al., 2018), but these development gains are limited to a few parts of the world. The unequal distribution of development measures brings critical food insecurity problems through declined food productivities (food insecurity in sub-Saharan Africa; de Graaff et al., 2011; Dawson et al., 2016). Critical food production gaps among various regions of the world require addressing the agronomic, social, political and economic constraints (Lobell et al., 2009; Reynolds et al., 2015; Myers et al., 2017). Agricultural innovations and climatic variability across the globe mutually determine future food productivity.
Measures to reduce food waste and loss will greatly help in meeting the food security goals. Primarily, unhygienic conditions cause fungal and other pests attack, which lead toward nearly 1.4 billion metric tons food loss every year, where most of the food loss exists in the developed world (FAO, 2014; Sheahan and Barrett, 2017). Although, rearing animals is an important nutritional and economic welfare tool for poor rural communities, however, crop production and agroforestry may directly help in easy availability of dietary energy (Cassidy et al., 2013; Shepon et al., 2016). Sustainable food production systems, better coping capacities against climatic variability like reducing GHGs emissions, and enhancing the input use-efficiencies for crop, agroforestry and livestock production can be helpful in alleviating negative impacts on food systems. Balancing the scope of policy priorities requires additional full understanding to account for how climate variability brings primary and secondary changes for food production and human health.
To implement the research-based findings practically, the decision stage needs to double-checked by decision- and policy-makers, because always challenged with anticipated climate change, impacts on food security though there are unlimited uncertainties among current findings and future projections. Moving toward practical implementations, there are few reconsiderations that decision-makers must undertake to concrete the alleviation process of climate change impacts on food security. Firstly, global decision-making organizations should prioritize those regions already at-risk regarding security food security due to severe climatic variability. Secondly, world’s silence seeing the global climate change impacts on food security in shape of hunger and malnutrition, which will potentially boost-up in the near future if kept ignored by developed countries. Thirdly, climate change potential impacts vary from global to a regional level, regional to local scale, and even vary among local communities, which raise issues regarding equitable food distribution at all levels. Therefore, projections of impacts at global, regional, national, and local scales and then to specify the practical implementations at a respective scale are important. Fourthly, poor groups and communities already at risk of climate variabilities are expected to be more vulnerable and prone to extreme weather events. Moving toward the fifth most important challenge, about the necessary adaptation measures to reduce the food insecurity issues in the near future that are expected to arise due to climatic variabilities happened in the last few decades as a result of bumper GHGs emissions. Lastly, periodic occurrences of extreme weather events will expand the uncertainties about the projected climate impacts, and global food security will be more vulnerable.
All the actual and perceived climate change impacts need comprehensive approaches to have sound mitigations and adaptations in reducing the global food insecurity issues. There are unlimited opportunities to develop sound adaptation approaches globally to undermine food security issues and to develop sustainable food production systems with better resilience against climate change. It is inevitable to modify the current agricultural systems toward climate-smart production systems through proper structural and functional adjustments to better cope with climate change impacts on all components of food security. This study encourages future research to deeply looking on different features of governance and their association with SDGs achievement, specifically focusing on each SDG goal individually. Studies assessing potential confined impacts of self-referent and adaptive governance approaches or policy coherence could impart to any attempt of SDGs. Being beyond the scope of the current article, a comprehensive assessment of the interactions between different dimensions and approaches of governance by using qualitative relative analyses would also share to further acquire sustainability in governance and its relevance for more specific SDGs implementation.
Author Contributions
MF and MU conceived the idea, collected the relevant literature, and visualized the figures. MF, AR, MH, MY, MR, and MU helped to wrote the original draft. MF, MU, AR, YX, MR, and SY proofread and edited the final version. All authors carefully read, revise, and approved the article for submission.
Funding
The publication of the present work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT), (NRF-2021R1F1A1055482).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We acknowledge the research facilities provided by National Institute for Genomics and Advanced Biotechnology (NIGAB).
References
Aazami, M. A., Asghari-Aruq, M., Hassanpouraghdam, M. B., Ercisli, S., Baron, M., and Sochor, J. (2021). Low temperature stress mediates the antioxidants pool and chlorophyll fluorescence in Vitis vinifera L. cultivars. Plants 10:1877. doi: 10.3390/PLANTS10091877
Abbasi, Z. A. K., and Nawaz, A. (2020). Impact of climate change awareness on climate change adaptions and climate change adaptation issues. Pak. J. Agric. Res. 36, 619–636. doi: 10.17582/JOURNAL.PJAR/2020/33.3.619.636
Abdullah, D., Shah, T., Ali, S., Ahmad, W., Din, I. U., et al. (2019). Factors affecting household food security in rural northern hinterland of Pakistan. J. Saudi Soc. Agric. Sci. 18, 201–210. doi: 10.1016/J.JSSAS.2017.05.003
Adnan, S., Ullah, K., and Ahmed, R. (2020). Variability in meteorological parameters and their impact on evapotranspiration in a humid zone of Pakistan. Meteorol. Appl. 27:e1859. doi: 10.1002/MET.1859
Affognon, H., Mutungi, C., Sanginga, P., and Borgemeister, C. (2015). Unpacking postharvest losses in sub-Saharan Africa: a meta-analysis. World Dev. 66, 49–68. doi: 10.1016/J.WORLDDEV.2014.08.002
Afshin, A., Peñalvo, J. L., Del Gobbo, L., Silva, J., Michaelson, M., O’Flaherty, M., et al. (2017). The prospective impact of food pricing on improving dietary consumption: a systematic review and meta-analysis. PLoS One 12:e0172277. doi: 10.1371/journal.pone.0172277
Ahmad, A., Khan, W. U., Ali Shah, A., Yasin, N. A., Naz, S., Ali, A., et al. (2021a). Synergistic effects of nitric oxide and silicon on promoting plant growth, oxidative stress tolerance and reduction of arsenic uptake in Brassica juncea. Chemosphere 262:128384. doi: 10.1016/J.CHEMOSPHERE.2020.128384
Ahmad, A., Khan, W. U., Shah, A. A., Yasin, N. A., Ali, A., Rizwan, M., et al. (2021b). Dopamine Alleviates Hydrocarbon Stress in Brassica oleracea through Modulation of Physio-Biochemical Attributes and Antioxidant Defense Systems. Chemosphere 270:128633. doi: 10.1016/J.CHEMOSPHERE.2020.128633
Ainsworth, E. A., and Ort, D. R. (2010). How do we improve crop production in a warming world? Plant Physiol. 154, 526–530. doi: 10.1104/pp.110.161349
Akhtar, N., Syakir Ishak, M. I., Bhawani, S. A., and Umar, K. (2021). Various natural and anthropogenic factors responsible for water quality degradation: a review. Water 13:2660. doi: 10.3390/w13192660
Alam, G. M. M., Alam, K., and Mushtaq, S. (2017). Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Clim. Risk Manage. 17, 52–63. doi: 10.1016/J.CRM.2017.06.006
Alegbeleye, O., Odeyemi, O. A., Strateva, M., and Stratev, D. (2022). Microbial spoilage of vegetables, fruits and cereals. Appl. Food Res. 2:100122. doi: 10.1016/J.AFRES.2022.100122
Alexandratos, N., and Bruinsma, J. (2012). “A synoptic visualization framework for the multi-perspective study of biography and prosopography Data,” in Proceedings 2nd IEEE VIS Workshop on Visualization for the Digital Humanities, Phoenix, AZ.
Ali, A., and Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Clim. Risk Manage. 16, 183–194. doi: 10.1016/J.CRM.2016.12.001
Ali, S., Liu, Y., Ishaq, M., Shah, T., Abdullah, Ilyas, A., et al. (2017). Climate change and its impact on the yield of major food crops: evidence from Pakistan. Foods 6:39. doi: 10.3390/FOODS6060039
Altieri, M. A., Nicholls, C. I., Henao, A., and Lana, M. A. (2015). Agroecology and the design of climate change-resilient farming systems. Agron. Sustain. Dev. 35, 869–890. doi: 10.1007/S13593-015-0285-2
Ampaire, E. L., Jassogne, L., Providence, H., Acosta, M., Twyman, J., Winowiecki, L., et al. (2017). Institutional challenges to climate change adaptation: a case study on policy action gaps in Uganda. Environ. Sci. Policy 75, 81–90. doi: 10.1016/j.envsci.2017.05.013
Andersen, S. O., Halberstadt, M. L., and Borgford-Parnell, N. (2013). Stratospheric ozone, global warming, and the principle of unintended consequences-An ongoing science and policy success story. J. Air Waste Manage. Assoc. 63, 607–647. doi: 10.1080/10962247.2013.791349
Ani, K. J., Anyika, V. O., and Mutambara, E. (2022). The impact of climate change on food and human security in Nigeria. Int. J. Clim. Change Strateg. Manage. 14, 148–167. doi: 10.1108/IJCCSM-11-2020-0119
Arndt, C., Farmer, W., Strzepek, K., and Thurlow, J. (2012b). Climate change, agriculture and food security in tanzania. Rev. Dev. Econ. 16, 378–393. doi: 10.1111/j.1467-9361.2012.00669.x
Arndt, C., Chinowsky, P., Robinson, S., Strzepek, K., Tarp, F., and Thurlow, J. (2012a). Economic development under climate change. Rev. Dev. Econ. 16, 369–377. doi: 10.1111/j.1467-9361.2012.00668.x
Arnell, N. W. (2016). The global-scale impacts of climate change: the QUEST-GSI project. Clim. Change 134, 343–352. doi: 10.1007/s10584-016-1600-x
Aryal, J. P., Jat, M. L., Sapkota, T. B., Khatri-Chhetri, A., Kassie, M., Rahut, D. B., et al. (2018). Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India. Int. J. Clim. Change Strateg. Manage. 10, 407–427. doi: 10.1108/IJCCSM-02-2017-0025
Aryal, J. P., Sapkota, T. B., Khurana, R., Khatri-Chhetri, A., Rahut, D. B., and Jat, M. L. (2020). Climate change and agriculture in South Asia: adaptation options in smallholder production systems. Environ. Dev. Sustain. 22, 5045–5075. doi: 10.1007/S10668-019-00414-4
Aschwanden, A., Fahnestock, M. A., Truffer, M., Brinkerhoff, D. J., Hock, R., Khroulev, C., et al. (2019). Contribution of the Greenland Ice Sheet to sea level over the next millennium. Sci. Adv. 5:eaav9396. doi: 10.1126/SCIADV.AAV9396
Ashraf, M., Arshad, A., Patel, P. M., Khan, A., Qamar, H., Siti-Sundari, R., et al. (2021). Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan. Nat. Hazards 109, 2127–2151. doi: 10.1007/S11069-021-04913-4
Aslany, M., and Brincat, S. (2021). Class and climate-change adaptation in rural India: beyond community-based adaptation models. Sustain. Dev. 29, 571–582. doi: 10.1002/sd.2201
Asrat, P., and Simane, B. (2018). Farmers’ perception of climate change and adaptation strategies in the Dabus watershed, North-West Ethiopia. Ecol. Process 7:7. doi: 10.1186/S13717-018-0118-8/TABLES/9
Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., et al. (2015). Rising temperatures reduce global wheat production. Nat. Clim. Change 5, 143–147. doi: 10.1038/nclimate2470
Asseng, S., Martre, P., Maiorano, A., Rötter, R. P., O’Leary, G. J., Fitzgerald, G. J., et al. (2019). Climate change impact and adaptation for wheat protein. Glob. Change Biol. 25, 155–173. doi: 10.1111/gcb.14481
Atanga, R. A., and Tankpa, V. (2021). Climate change, flood disaster risk and food security Nexus in Northern Ghana. Front. Sustain. Food Syst. 5:706721. doi: 10.3389/FSUFS.2021.706721
Awan, A. G., and Yaseen, G. (2017). Global climate change and its impact on agriculture sector in Pakistan. Am. J. Trade Policy 4, 109–116. doi: 10.18034/AJTP.V4I3.425
Ayugi, B., Eresanya, E. O., Onyango, A. O., Ogou, F. K., Okoro, E. C., Okoye, C. O., et al. (2022). Review of meteorological drought in Africa: historical trends, impacts, mitigation measures, and prospects. Pure Appl. Geophys. 179, 1365–1386. doi: 10.1007/S00024-022-02988-Z
Baldos, U. L. C., and Hertel, T. W. (2015). The role of international trade in managing food security risks from climate change. Food Secur. 7, 275–290. doi: 10.1007/s12571-015-0435-z
Bale, J. S., Masters, G. J., Hodkinson, I. D., Awmack, C., Bezemer, T. M., Brown, V. K., et al. (2002). Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Glob. Change Biol. 8, 1–16. doi: 10.1046/j.1365-2486.2002.00451.x
Balmaseda, M. A., Trenberth, K. E., and Källén, E. (2013). Distinctive climate signals in reanalysis of global ocean heat content. Geophys. Res. Lett. 40, 1754–1759. doi: 10.1002/grl.50382
Barange, M., Merino, G., Blanchard, J. L., Scholtens, J., Harle, J., Allison, E. H., et al. (2014). Impacts of climate change on marine ecosystem production in societies dependent on fisheries. Nat. Clim. Change 4, 211–216. doi: 10.1038/nclimate2119
Barlow, K. M., Christy, B. P., O’Leary, G. J., Riffkin, P. A., and Nuttall, J. G. (2015). Simulating the impact of extreme heat and frost events on wheat crop production: a review. Field Crops Res. 171, 109–119. doi: 10.1016/J.FCR.2014.11.010
Barnett, J., and Adger, W. N. (2007). Climate change, human security and violent conflict. Polit. Geogr. 26, 639–655. doi: 10.1016/j.polgeo.2007.03.003
Barnett, J., Graham, S., Mortreux, C., Fincher, R., Waters, E., and Hurlimann, A. (2014). A local coastal adaptation pathway. Nat. Clim. Change 4, 1103–1108. doi: 10.1038/nclimate2383
Bauer, M. S., Damschroder, L., Hagedorn, H., Smith, J., and Kilbourne, A. M. (2015). An introduction to implementation science for the non-specialist. BMC Psychol. 3:32. doi: 10.1186/S40359-015-0089-9
Beach, R. H., Sulser, T. B., Crimmins, A., Cenacchi, N., Cole, J., Fukagawa, N. K., et al. (2019). Combining the effects of increased atmospheric carbon dioxide on protein, iron, and zinc availability and projected climate change on global diets: a modelling study. Lancet Planet. Health 3, e307–e317. doi: 10.1016/S2542-5196(19)30094-4
Beaman, L., Karlan, D. S., Thuysbaert, B., and Udry, C. R. (2015). Self-selection into Credit Markets: Evidence from Agriculture in Mali. Center for Global Development Working Paper No. 377. Washington, DC: Center for Global Development. doi: 10.2139/ssrn.2622740
Bebber, D. P. (2015). Range-expanding pests and pathogens in a warming world. Annu. Rev. Phytopathol. 53, 335–356. doi: 10.1146/annurev-phyto-080614-120207
Bebber, D. P., Field, E., Heng, G., Mortimer, P., Holmes, T., and Gurr, S. J. (2019). Many unreported crop pests and pathogens are probably already present. Glob. Change Biol. 25, 2703–2713. doi: 10.1101/519223
Bebber, D. P., Ramotowski, M. A. T., and Gurr, S. J. (2013). Crop pests and pathogens move polewards in a warming world. Nat. Clim. Change 3, 985–988. doi: 10.1038/nclimate1990
Bell, J. E., Brown, C. L., Conlon, K., Herring, S., Kunkel, K. E., Lawrimore, J., et al. (2018). Changes in extreme events and the potential impacts on human health. J. Air Waste Manage. Assoc. 68, 265–287. doi: 10.1080/10962247.2017.1401017
Bellman, L., Ekholm, S., Nygren, K. G., Hemmingsson, O., Jarnkvist, K., Kvarnlöf, L., et al. (2016). Climate change, insurance, and households: a literature review. RCR Work. Pap. Ser. 2:44.
Berazneva, J., and Lee, D. R. (2013). Explaining the African food riots of 2007–2008: an empirical analysis. Food Policy 39, 28–39. doi: 10.1016/j.foodpol.2012.12.007
Bernabucci, U. (2019). Climate change: impact on livestock and how can we adapt. Anim. Front. 9, 3–5. doi: 10.1093/AF/VFY039
Beven, K. (2016). Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication. Hydrol. Sci. J. 61, 1652–1665. doi: 10.1080/02626667.2015.1031761
Beven, K. J., and Alcock, R. E. (2012). Modelling everything everywhere: a new approach to decision-making for water management under uncertainty. Freshw. Biol. 57, 124–132. doi: 10.1111/j.1365-2427.2011.02592.x
Beveridge, M. C. M., Thilsted, S. H., Phillips, M. J., Metian, M., Troell, M., and Hall, S. J. (2013). Meeting the food and nutrition needs of the poor: the role of fish and the opportunities and challenges emerging from the rise of aquaculturea. J. Fish. Biol. 83, 1067–1084. doi: 10.1111/jfb.12187
Bhave, A. G., Conway, D., Dessai, S., and Stainforth, D. A. (2016). Barriers and opportunities for robust decision making approaches to support climate change adaptation in the developing world. Clim. Risk Manage. 14, 1–10. doi: 10.1016/J.CRM.2016.09.004
Biesbroek, R., Berrang-Ford, L., Ford, J. D., Tanabe, A., Austin, S. E., and Lesnikowski, A. (2018). Data, concepts and methods for large- n comparative climate change adaptation policy research: a systematic literature review. Wiley Interdiscip. Rev. Clim. Change 9:e548. doi: 10.1002/wcc.548
Biglari, T., Maleksaeidi, H., Eskandari, F., and Jalali, M. (2019). Livestock insurance as a mechanism for household resilience of livestock herders to climate change: evidence from Iran. Land Use Policy 87:104043. doi: 10.1016/J.LANDUSEPOL.2019.104043
Bogard, J. R. (2015). The Contribution of Fish to Nutrition and Food Security: Informing the Evidence Base for Agricultural Policy in Bangladesh. Available online at: https://espace.library.uq.edu.au/data/UQ_690705/s43498725_final_thesis2.pdf?Expires=1531433645&Signature=a5eHM6irw3Jg4bFHL4Nm~sl4V3RtvLiaTo~qFo0jMdfdaZazKvShlk~9-GaXWfkfH8C06W7w2UHHG4wZKm5plKf18IuTzhdOuyfNH4AD-Jilthk1XZQt6-4D30iFSH0-D8mCGU2hJAcTuZugo97FvC (accessed April 5, 2022).
Böhm, R., Jones, P. D., Hiebl, J., Frank, D., Brunetti, M., and Maugeri, M. (2010). The early instrumental warm-bias: a solution for long central European temperature series 1760–2007. Clim. Change 101, 41–67. doi: 10.1007/s10584-009-9649-4
Bonou-zin, R. D. C., Allali, K., and Fadlaoui, A. (2019). Environmental efficiency of organic and conventional cotton in Benin. Sustainability 11:3044. doi: 10.3390/su11113044
Bonuedi, I., Kornher, L., and Gerber, N. (2021). Agricultural seasonality, market access, and food security in Sierra Leone. Food Secur. 14, 471–494. doi: 10.1007/S12571-021-01242-Z/TABLES/8
Bouis, H. E. (2003). Micronutrient fortification of plants through plant breeding: Can it improve nutrition in man at low cost? Proc. Nutr. Soc. 62, 403–411. doi: 10.1079/pns2003262
Bouis, H. E., and Saltzman, A. (2017). Improving nutrition through biofortification: a review of evidence from HarvestPlus, 2003 through 2016. Glob. Food Secur. 12, 49–58. doi: 10.1016/j.gfs.2017.01.009
Bouis, H. E., and Welch, R. M. (2010). Biofortification—a sustainable agricultural strategy for reducing micronutrient malnutrition in the global south. Crop Sci. 50, S-20–S-32. doi: 10.2135/cropsci2009.09.0531
Bradley, D., Merrifield, M., Miller, K. M., Lomonico, S., Wilson, J. R., and Gleason, M. G. (2019). Opportunities to improve fisheries management through innovative technology and advanced data systems. Fish Fish. 20, 564–583. doi: 10.1111/faf.12361
Branca, G., Mccarthy, N., Lipper, L., and Jolejole, M. C. (2011). Climate-Smart Agriculture: a Synthesis of Empirical Evidence of Food Security and Mitigation Benefits from Improved Cropland Management. Mitigation of Climate Change in Agriculture Series 3. Rome: Food and Agriculture Organization of the United Nations, 1–42.
Brander, K. (2010). Impacts of climate change on fisheries. J. Mar. Syst. 79, 389–402. doi: 10.1016/J.JMARSYS.2008.12.015
Breeman, G., Dijkman, J., and Termeer, C. (2015). Enhancing food security through a multi-stakeholder process: the global agenda for sustainable livestock. Food Secur. 7, 425–435. doi: 10.1007/S12571-015-0430-4
Brune, L., Giné, X., Goldberg, J., and Yang, D. (2016). Facilitating Savings for Agriculture : field Experimental Evidence from Malawi. ?Econ. Dev. Cult. Change 64, 187–220.
Buhaug, H. (2015). Climate-conflict research: some reflections on the way forward. Wiley Interdiscip. Rev. Clim. Change 6, 269–275. doi: 10.1002/wcc.336
Buhaug, H. (2016). Climate change and conflict: taking stock. Peace Econ. Peace Sci. Public Policy 22, 331–338. doi: 10.1515/peps-2016-0034
Burke, M. B., Miguel, E., Satyanath, S., Dykema, J. A., and Lobell, D. B. (2009). Warming increases the risk of civil war in Africa. Proc. Natl. Acad. Sci. U.S.A. 106, 20670–20674. doi: 10.1073/pnas.0907998106
Burke, M., and Lobell, D. (2010). Climate change and food security: adapting agriculture to a warmer world. Environ. Health Perspect. 120, 1520–1526. doi: 10.1007/978-90-481-2953-9
Buurman, J., and Babovic, V. (2016). Adaptation pathways and real options analysis: an approach to deep uncertainty in climate change adaptation policies. Policy Soc. 35, 137–150. doi: 10.1016/j.polsoc.2016.05.002
Campbell, B. M., Vermeulen, S. J., Aggarwal, P. K., Corner-Dolloff, C., Girvetz, E., Loboguerrero, A. M., et al. (2016). Reducing risks to food security from climate change. Glob. Food Secur. 11, 34–43. doi: 10.1016/J.GFS.2016.06.002
Carter, M. R., Janzen, S. A., and Stoeffler, Q. (2018). Can insurance help manage climate risk and food insecurity? Evidence from the pastoral regions of East Africa. Nat. Resour. Manage. Policy 52, 201–225. doi: 10.1007/978-3-319-61194-5_10/FIGURES/8
Carton, W., Lund, J. F., and Dooley, K. (2021). Undoing equivalence: rethinking carbon accounting for just carbon removal. Front. Clim. 3:30. doi: 10.3389/FCLIM.2021.664130/BIBTEX
Cassidy, E. S., West, P. C., Gerber, J. S., and Foley, J. A. (2013). Redefining agricultural yields: from tonnes to people nourished per hectare. Environ. Res. Lett. 8:034015. doi: 10.1088/1748-9326/8/3/034015
Castillo, F., Wehner, M., and Stone, D. A. (2021). Extreme Events and Climate Change. Hoboken, NJ: Wiley. doi: 10.1002/9781119413738
Cavigelli, M. A., Del Grosso, S. J., Liebig, M. A., Snyder, C. S., Fixen, P. E., Venterea, R. T., et al. (2012). US agricultural nitrous oxide emissions: context, status, and trends. Front. Ecol. Environ. 10:537–546. doi: 10.1890/120054
Cedamon, E. D., Nuberg, I., Mulia, R., Lusiana, B., Subedi, Y. R., and Shrestha, K. K. (2019). Contribution of integrated forest-farm system on household food security in the mid-hills of Nepal: assessment with EnLiFT model. Aust. For. 82, 32–44. doi: 10.1080/00049158.2019.1610212
Chakraborty, S., and Newton, A. C. (2011). Climate change, plant diseases and food security: an overview. Plant Pathol. 60, 2–14. doi: 10.1111/j.1365-3059.2010.02411.x
Challinor, A. J., Müller, C., Asseng, S., Deva, C., Nicklin, K. J., Wallach, D., et al. (2018). Improving the use of crop models for risk assessment and climate change adaptation. Agric. Syst. 159, 296–306. doi: 10.1016/j.agsy.2017.07.010
Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., and Chhetri, N. (2014). A meta-analysis of crop yield under climate change and adaptation. Nat. Clim. Change 4, 287–291. doi: 10.1038/nclimate2153
Chang, Y., Chatterjee, S., and Kim, J. (2014). Household finance and food insecurity. J. Fam. Econ. Issues 35, 499–515. doi: 10.1007/S10834-013-9382-Z
Chapagain, T., and Good, A. (2015). Yield and production gaps in rainfed wheat, barley, and canola in Alberta. Front. Plant Sci. 6:990. doi: 10.3389/fpls.2015.00990
Chapagain, T., and Raizada, M. N. (2017). Impacts of natural disasters on smallholder farmers: gaps and recommendations. Agric. Food Secur. 6:39. doi: 10.1186/S40066-017-0116-6/FIGURES/4
Chaudhury, A. S., Thornton, T. F., Helfgott, A., and Sova, C. (2017). Applying the robust adaptation planning (RAP) framework to Ghana’s agricultural climate change adaptation regime. Sustain. Sci. 12, 657–676. doi: 10.1007/s11625-017-0462-0
Chauhan, Y. S., and Ryan, M. (2020). Frost risk management in chickpea using a modelling approach. Agronomy 10:460. doi: 10.3390/AGRONOMY10040460
Chemeris, A., Liu, Y., and Ker, A. P. (2022). Insurance subsidies, climate change, and innovation: implications for crop yield resiliency. Food Policy 108:102232. doi: 10.1016/J.FOODPOL.2022.102232
Chen, M., Wichmann, B., Luckert, M., Winowiecki, L., Förch, W., and Läderach, P. (2018). Diversification and intensification of agricultural adaptation from global to local scales. PLoS One 13:e0196392. doi: 10.1371/JOURNAL.PONE.0196392
Chidawanyika, F., Mudavanhu, P., and Nyamukondiwa, C. (2019). Global climate change as a driver of bottom-up and top-down factors in agricultural landscapes and the fate of host-parasitoid interactions. Front. Ecol. Evol. 7:80. doi: 10.3389/fevo.2019.00080
Chisale, H. L. W., Chirwa, P. W., Babalola, F. D., and Manda, S. O. M. (2021). Perceived effects of climate change and extreme weather events on forests and forest-based livelihoods in Malawi. Sustainability 13:11748. doi: 10.3390/su132111748
Collins, B., and Chenu, K. (2021). Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate. Clim. Risk Manage. 32:100300. doi: 10.1016/J.CRM.2021.100300
Connolly-Boutin, L., and Smit, B. (2016). Climate change, food security, and livelihoods in sub-Saharan Africa. Reg. Environ. Change 16, 385–399. doi: 10.1007/s10113-015-0761-x
Connor, S. J., Omumbo, J., Green, C., Dasilva, J., Mantilla, G., Delacollette, C., et al. (2010). Health and Climate – Needs. Procedia Environ. Sci. 1, 27–36. doi: 10.1016/J.PROENV.2010.09.004
Coscarelli, R., Aguilar, E., Petrucci, O., Vicente-Serrano, S. M., and Zimbo, F. (2021). The Potential Role of Climate Indices to Explain Floods, Mass-Movement Events and Wildfires in Southern Italy. Climate 2021:156. doi: 10.3390/CLI9110156
Costello, A., Abbas, M., Allen, A., Ball, S., Bell, S., Bellamy, R., et al. (2009). Managing the health effects of climate change: lancet and University College London Institute for Global Health Commission. Lancet 373, 1693–1733. doi: 10.1016/S0140-6736(09)60935-1
Costello, C., Ovando, D., Clavelle, T., Strauss, C. K., Hilborn, R., Melnychuk, M. C., et al. (2016). Global fishery prospects under contrasting management regimes. Proc. Natl. Acad. Sci. U.S.A. 113, 5125–5129. doi: 10.1073/pnas.1520420113
Crimp, S. J., Zheng, B., Khimashia, N., Gobbett, D. L., Chapman, S., Howden, M., et al. (2016). Recent changes in southern Australian frost occurrence: implications for wheat production risk. Crop Pasture Sci. 67, 801–811. doi: 10.1071/CP16056
DaMatta, F. M., Grandis, A., Arenque, B. C., and Buckeridge, M. S. (2010). Impacts of climate changes on crop physiology and food quality. Food Res. Int. 43, 1814–1823. doi: 10.1016/J.FOODRES.2009.11.001
Darnton-Hill, I. (2019). Public health aspects in the prevention and control of vitamin deficiencies. Curr. Dev. Nutr. 3:nzz075. doi: 10.1093/CDN/NZZ075
Davidson, D. J. (2018). Rethinking adaptation: emotions, evolution, and climate change. Nat. Cult. 13, 378–402. doi: 10.3167/NC.2018.130304
Dawson, N., Martin, A., and Sikor, T. (2016). Green revolution in Sub-Saharan Africa: implications of Imposed Innovation for the Wellbeing of Rural Smallholders. World Dev. 78, 204–218. doi: 10.1016/J.WORLDDEV.2015.10.008
de Graaff, J., Kessler, A., and Nibbering, J. W. (2011). Agriculture and food security in selected countries in Sub-Saharan Africa: diversity in trends and opportunities. Food Secur. 3, 195–213. doi: 10.1007/s12571-011-0125-4
de Janvry, A., Sadoulet, E., and Trachtman, C. (2019). Achieving Coordination in Agricultural Value Chains?: The Role of Lead Agents and Multi-stakeholder Platforms. Available online at: https://ferdi.fr/dl/df-zKjo5PSeifSSHLbxCfdHidx1/ferdi-p254-achieving-coordination-in-agricultural-value-chains-the-role-of.pdf (accessed March 28, 2022).
Delpla, I., Jung, A. V., Baures, E., Clement, M., and Thomas, O. (2009). Impacts of climate change on surface water quality in relation to drinking water production. Environ. Int. 35, 1225–1233. doi: 10.1016/j.envint.2009.07.001
Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., et al. (2018). Increase in crop losses to insect pests in a warming climate. Science 361, 916–919. doi: 10.1126/science.aat3466
Dicker, S., Unsworth, S., Byrnes, R., Ward, B., Bhatt, M., Paul, A., et al. (2021). Saving Lives and Livelihoods: The Benefits of Investments in Climate Change Adaptation and Resilience. Available online at: www.cccep.ac.uk (accessed March 25, 2022).
Dietterich, L. H., Zanobetti, A., Kloog, I., Huybers, P., Leakey, A. D. B., Bloom, A. J., et al. (2015). Impacts of elevated atmospheric CO2 on nutrient content of important food crops. Sci. Data 2:150036. doi: 10.1038/sdata.2015.36
Djekic, I., Kuzmanović, J., Anđelković, A., Saraèević, M., Stojanović, M. M., and Tomašević, I. (2016). Relationships among hygiene indicators in take-away foodservice establishments and the impact of climatic conditions. J. Appl. Microbiol. 121, 863–872. doi: 10.1111/jam.13211
Döll, P., and Romero-Lankao, P. (2017). How to embrace uncertainty in participatory climate change risk management—A roadmap. Earths Future 5, 18–36. doi: 10.1002/2016EF000411
Donatelli, M., Magarey, R. D., Bregaglio, S., Willocquet, L., Whish, J. P. M., and Savary, S. (2017). Modelling the impacts of pests and diseases on agricultural systems. Agric. Syst. 155, 213–224. doi: 10.1016/j.agsy.2017.01.019
Dong, J., Gruda, N., Lam, S. K., Li, X., and Duan, Z. (2018). Effects of elevated CO2 on nutritional quality of vegetables: a review. Front. Plant Sci. 9:924. doi: 10.3389/FPLS.2018.00924
Dossou, S. A. R., Aoudji, A. K. N., Houessou, A. M., and Kaki, R. S. (2020). Microfinance services for smallholder farmers: an assessment from rice farmers’ expectations in Central Benin. Agric. Food Econ. 8:20. doi: 10.1186/S40100-020-00165-1/TABLES/5
Duran-Encalada, J. A., Paucar-Caceres, A., Bandala, E. R., and Wright, G. H. (2017). The impact of global climate change on water quantity and quality: a system dynamics approach to the US–Mexican transborder region. Eur. J. Oper. Res. 256, 567–581. doi: 10.1016/J.EJOR.2016.06.016
Ebi, K. L., and Hess, J. J. (2020). Health risks due to climate change: inequity in causes and consequences. 39, 2056–2062. doi: 10.1377/HLTHAFF.2020.01125
Ebi, K. L., and Loladze, I. (2019). Elevated atmospheric CO2 concentrations and climate change will affect our food’s quality and quantity. Lancet. Planet. Health 3, e283–e284. doi: 10.1016/S2542-5196(19)30108-1
El Bilali, H. (2019). Research on agro-food sustainability transitions: Where are food security and nutrition? Food Secur. 11, 559–577. doi: 10.1007/s12571-019-00922-1
Elad, Y., and Pertot, I. (2014). Climate change impacts on plant pathogens and plant diseases. J. Crop Improv. 28, 99–139. doi: 10.1080/15427528.2014.865412
England, M. I., Dougill, A. J., Stringer, L. C., Vincent, K. E., Pardoe, J., Kalaba, F. K., et al. (2018). Climate change adaptation and cross-sectoral policy coherence in southern Africa. Reg. Environ. Change 18, 2059–2071. doi: 10.1007/S10113-018-1283-0
Fan, S., and Rue, C. (2020). The Role of Smallholder Farms in a Changing World. Cham: Springer. doi: 10.1007/978-3-030-42148-9_2
FAO (2009). Global Agriculture Towards 2050. Available Online at: http://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf (accessed March 22, 2022).
FAO (2014). Food Losses and Waste in the Context of Sustainable Food Systems. A Report by the High Level Panel of Experts on Food Security and Nutrition. HLPE Report 8. Rome: FAO.
FAO (2016). Contribution of Fisheries to Food Security. Available Online at: http://www.fao.org/fishery/topic/12367/en (accessed March 21, 2022).
FAO (2021a). The Impact of Disasters and Crises on Agriculture and Food Security: 2021. Rome: FAO. doi: 10.4060/CB3673EN
FAO (2021b). The State of Food Security and Nutrition in the World 2021. Rome: FAO. doi: 10.4060/CB4474EN
Farooq, M. S., Uzair, M., Maqbool, Z., Fiaz, S., Yousuf, M., Yang, S. H., et al. (2022). Improving nitrogen use efficiency in aerobic rice based on insights into the Ecophysiology of Archaeal and Bacterial Ammonia Oxidizers. Front. Plant Sci. 13:913204. doi: 10.3389/fpls.2022.913204
Feng, X., Klingaman, N. P., and Hodges, K. I. (2021). Poleward migration of western North Pacific tropical cyclones related to changes in cyclone seasonality. Nat. Commun. 12:6210. doi: 10.1038/s41467-021-26369-7
Ferrante, A., Cullis, B. R., Smith, A. B., and Able, J. A. (2021). A multi-environment trial analysis of frost susceptibility in wheat and barley under Australian Frost-Prone Field Conditions. Front. Plant Sci. 12:722637. doi: 10.3389/FPLS.2021.722637
Ferreira, H. D. S., Albuquerque, G. T., Santos, T. R., Dos, Barbosa, R. D. L., Cavalcante, A. L., et al. (2020). Stunting and overweight among children in Northeast Brazil: prevalence, trends (1992-2005-2015) and associated risk factors from repeated cross-sectional surveys. BMC Public Health 20:736. doi: 10.1186/S12889-020-08869-1
Ferreira, M. E., Pitarma, R. E., Liobikien, G., Kousar, S., Afzal, M., Ahmed, F., et al. (2022). Environmental awareness and air quality: the mediating role of environmental protective behaviors. Sustainability 14:3138. doi: 10.3390/SU14063138
Fink, G., Günther, I., and Hill, K. (2011). The effect of water and sanitation on child health: evidence from the demographic and health surveys 1986–2007. Int. J. Epidemiol. 40, 1196–1204. doi: 10.1093/ije/dyr102
Fink, G., Jack, B. K., and Masiye, F. (2020). Seasonal liquidity, rural labor markets, and agricultural production. Am. Econ. Assoc. 110, 3351–3392. doi: 10.1257/AER.20180607
Firdaus, R. B. R., Senevi Gunaratne, M., Rahmat, S. R., and Kamsi, N. S. (2019). Does climate change only affect food availability? What else matters? Cogent Food Agric. 5:1707607. doi: 10.1080/23311932.2019.1707607
Fischer, E., and Qaim, M. (2012). Gender, agricultural commercialization, and collective action in Kenya. Food Secur. 4, 441–453. doi: 10.1007/s12571-012-0199-7
Fisher, M. C., Henk, D. A., Briggs, C. J., Brownstein, J. S., Madoff, L. C., McCraw, S. L., et al. (2012). Emerging fungal threats to animal, plant and ecosystem health. Nature 484, 186–194. doi: 10.1038/nature10947
Fones, H. N., and Gurr, S. J. (2017). NOXious gases and the unpredictability of emerging plant pathogens under climate change. BMC Biol. 15:36. doi: 10.1186/s12915-017-0376-4
Ford, J. D. (2012). Indigenous health and climate change. Am. J. Public Health 102, 1260–1266. doi: 10.2105/AJPH.2012.300752
Ford, J. D., Sherman, M., Berrang-Ford, L., Llanos, A., Carcamo, C., Harper, S., et al. (2018). Preparing for the health impacts of climate change in Indigenous communities: the role of community-based adaptation. Glob. Environ. Change 49, 129–139. doi: 10.1016/J.GLOENVCHA.2018.02.006
Fortmann, L. (2010). The Social Dimensions of Climate Change. Equity and Vulnerability in a Warming World. By R. Mearns, A. Norton and E. Cameron. Washington DC: The World Bank (2010), pp. 232, £25.00. ISBN 978-0-8213-7887-8. Exp. Agric. 46:422. doi: 10.1017/S0014479710000232
Fukai, S., and Mitchell, J. (2022). Factors determining water use efficiency in aerobic rice. Crop Environ. 1, 24–40. doi: 10.1016/J.CROPE.2022.03.008
Fullana i Palmer, P., Puig, R., Bala, A., Baquero, G., and Riba, J. (2011). From Life Cycle Assessment to Life Cycle Management. J. Ind. Ecol. 15, 458–475. doi: 10.1111/j.1530-9290.2011.00338.x
Fuller, J. A., Westphal, J. A., Kenney, B., and Eisenberg, J. N. S. (2015). The joint effects of water and sanitation on Diarrhoeal disease: a multicountry analysis of the demographic and health surveys. Trop. Med. Int. Health 20, 284–292. doi: 10.1111/tmi.12441
Gaihre, S., Kyle, J., Semple, S., Smith, J., Marais, D., Subedi, M., et al. (2019). Bridging barriers to advance multisector approaches to improve food security, nutrition and population health in Nepal: transdisciplinary perspectives. BMC Public Health 19:961. doi: 10.1186/S12889-019-7204-4
Gaines, S. D., Costello, C., Owashi, B., Mangin, T., Bone, J., Molinos, J. G., et al. (2018). Improved fisheries management could offset many negative effects of climate change. Sci. Adv. 4:eaao1378. doi: 10.1126/sciadv.aao1378
Galstyan, A. G., Petrov, A. N., Illarionova, E. E., Semipyatniy, V. K., Turovskaya, S. N., Ryabova, A. E., et al. (2019). Effects of critical fluctuations of storage temperature on the quality of dry dairy product. J. Dairy Sci. 102, 10779–10789. doi: 10.3168/JDS.2019-17229
Gartaula, H., Patel, K., Johnson, D., Devkota, R., Khadka, K., and Chaudhary, P. (2017). From food security to food wellbeing: examining food security through the lens of food wellbeing in Nepal’s rapidly changing agrarian landscape. Agric. Hum. Values 34, 573–589. doi: 10.1007/s10460-016-9740-1
Gebrechorkos, S. H., Hülsmann, S., and Bernhofer, C. (2019). Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa. Sci. Rep. 9:11376. doi: 10.1038/s41598-019-47933-8
Geiger, S. M., Geiger, M., and Wilhelm, O. (2019). Environment-specific vs. general knowledge and their role in pro-environmental behavior. Front. Psychol. 10:718. doi: 10.3389/FPSYG.2019.00718
Gil, J. D. B., Reidsma, P., Giller, K., Todman, L., Whitmore, A., and van Ittersum, M. (2019). Sustainable development goal 2: improved targets and indicators for agriculture and food security. Ambio 48, 685–698. doi: 10.1007/S13280-018-1101-4
Gilbert, C. L., and Morgan, C. W. (2010). Food price volatility. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 365, 3023–3034. doi: 10.1098/rstb.2010.0139
Gizaw, Z., and Worku, A. (2019). Effects of single and combined water, sanitation and hygiene (WASH) interventions on nutritional status of children: a systematic review and meta-analysis. Ital. J. Pediatr. 45:77. doi: 10.1186/s13052-019-0666-2
Glass, L.-M., and Newig, J. (2019). Governance for achieving the Sustainable Development Goals: How important are participation, policy coherence, reflexivity, adaptation and democratic institutions? Earth Syst. Gov. 2:100031. doi: 10.1016/J.ESG.2019.100031
Godde, C. M., Mason-D’Croz, D., Mayberry, D. E., Thornton, P. K., and Herrero, M. (2021). Impacts of climate change on the livestock food supply chain; a review of the evidence. Glob. Food Secur. 28:100488. doi: 10.1016/J.GFS.2020.100488
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., et al. (2010). Food security: the challenge of feeding 9 billion people. Science 327, 812–818. doi: 10.1126/science.1185383
Godfray, H. C. J., Mason-D’Croz, D., and Robinson, S. (2016). Food system consequences of a fungal disease epidemic in a major crop. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 371:20150467. doi: 10.1098/rstb.2015.0467
Golden, C. D., Allison, E. H., Cheung, W. W. L., Dey, M. M., Halpern, B. S., McCauley, D. J., et al. (2016). Nutrition: fall in fish catch threatens human health. Nature 534, 317–320. doi: 10.1038/534317a
Golden, C. D., Seto, K. L., Dey, M. M., Chen, O. L., Gephart, J. A., Myers, S. S., et al. (2017). Does aquaculture support the needs of nutritionally vulnerable nations? Front. Mar. Sci. 4:159. doi: 10.3389/fmars.2017.00159
Goldman, D., Hansmann, R., C̆inc̆era, J., Radović, V., Telešienė, A., Balžekienė, A., et al. (2020). “Education for environmental citizenship and responsible environmental behaviour,” in Environmental Discourses in Science Education, eds Hadjichambis, A. C., Reis, P., D. Paraskeva-Hadjichambi, J. Činčera, J. Boeve-de Pauw, Gericke, N., et al. (Cham: Springer), 115–137. doi: 10.1007/978-3-030-20249-1_8
Goodwin, D., Holman, I., Pardthaisong, L., Visessri, S., Ekkawatpanit, C., and Rey Vicario, D. (2022). What is the evidence linking financial assistance for drought-affected agriculture and resilience in tropical Asia? A systematic review. Reg. Environ. Change 22:12. doi: 10.1007/S10113-021-01867-Y
Grace, M. F., Leverty, J. T., Phillips, R. D., and Shimpi, P. (2015). The value of investing in enterprise risk management. J. Risk Insur. 82, 289–316. doi: 10.1111/jori.12022
Green, R., Cornelsen, L., Dangour, A. D., Turner, R., Shankar, B., Mazzocchi, M., et al. (2013). The effect of rising food prices on food consumption: systematic review with meta-regression. BMJ 346:f3703. doi: 10.1136/bmj.f3703
Gregersen, H., El-lakany, H., and Frechette, A. (2020). Forests, Forest People and UN 2030 Agenda’s Ethical Mandate: “Leave no one Behind.” Available Online at: http://67.222.18.91/~rrnew/wp-content/uploads/2020/09/Forests-ForestPeople-UN2030AgendasEthicalMandate-LEAVENOONEBEHIND.pdf (accessed March 25, 2022).
Griffis, T. J., Chen, Z., Baker, J. M., Wood, J. D., Millet, D. B., Lee, X., et al. (2017). Nitrous oxide emissions are enhanced in a warmer and wetter world. Proc. Natl. Acad. Sci. U.S.A. 114, 12081–12085. doi: 10.1073/pnas.1704552114
Grossi, G., Goglio, P., Vitali, A., and Williams, A. G. (2019). Livestock and climate change: impact of livestock on climate and mitigation strategies. Anim. Front. 9, 69–76. doi: 10.1093/af/vfy034
Guerrant, R. L., DeBoer, M. D., Moore, S. R., Scharf, R. J., and Lima, A. A. M. (2013). The impoverished gut–a triple burden of diarrhoea, stunting and chronic disease. Nat. Rev. Gastroenterol. Hepatol. 10, 220–229. doi: 10.1038/nrgastro.2012.239
Gupta, S., Pingali, P., and Pinstrup-Andersen, P. (2019). Women’s empowerment and nutrition status: the case of iron deficiency in India. Food Policy 88:101763. doi: 10.1016/J.FOODPOL.2019.101763
Gurgel, A. C., Reilly, J., and Blanc, E. (2021). Agriculture and forest land use change in the continental United States: Are there tipping points? iScience 24:102772. doi: 10.1016/J.ISCI.2021.102772
Haider, S., Raza, A., Iqbal, J., Shaukat, M., and Mahmood, T. (2022). Analyzing the regulatory role of heat shock transcription factors in plant heat stress tolerance: a brief appraisal. Mol. Biol. Rep. [Epub ahead of print]. doi: 10.1007/S11033-022-07190-X
Haile, M. G., and Wossen, T. (2016). “Impacts of climate and price changes on global food production,” in Proceedings of the 2016 Fifth International Conference, Addis Ababa.
Hallegatte, S. (2009). Strategies to adapt to an uncertain climate change. Glob. Environ. Change 19, 240–247. doi: 10.1016/J.GLOENVCHA.2008.12.003
Hameed, M., Ahmadalipour, A., and Moradkhani, H. (2020). Drought and food security in the middle east: an analytical framework. Agric. For. Meteorol. 281:107816. doi: 10.1016/J.AGRFORMET.2019.107816
Hammond, S. T., Brown, J. H., Burger, J. R., Flanagan, T. P., Fristoe, T. S., Mercado-Silva, N., et al. (2015). Food spoilage, storage, and transport: implications for a sustainable future. Bioscience 65, 758–768. doi: 10.1093/biosci/biv081
Hansen, J. W., Vaughan, C., Kagabo, D. M., Dinku, T., Carr, E. R., Körner, J., et al. (2019). Climate Services Can Support African farmers’ context-specific adaptation needs at scale. Front. Sustain. Food Syst. 3:21. doi: 10.3389/FSUFS.2019.00021
Hansen, J., Ruedy, R., Sato, M., and Lo, K. (2010). Global surface temperature change. Rev. Geophys. 48:RG4004. doi: 10.1029/2010RG000345
Hansen, J., Sato, M., Ruedy, R., Lo, K., Lea, D. W., and Medina-Elizade, M. (2006). Global temperature change. Proc. Natl. Acad. Sci. U.S.A. 103, 14288–14293. doi: 10.1073/pnas.0606291103
Harari, M., and La Ferrara, E. (2018). Conflict, climate, and cells: a disaggregated analysis. Rev. Econ. Stat. 100, 594–608. doi: 10.1162/rest_a_00730
Hashizume, M., Armstrong, B., Hajat, S., Wagatsuma, Y., Faruque, A. S. G., Hayashi, T., et al. (2008). The effect of rainfall on the incidence of Cholera in Bangladesh. Epidemiology 19, 103–110. doi: 10.1097/EDE.0b013e31815c09ea
Hassan, M. A., Xiang, C., Farooq, M., Muhammad, N., Yan, Z., Hui, X., et al. (2021). Cold stress in wheat: plant acclimation responses and management strategies. Front. Plant Sci. 12:676884. doi: 10.3389/FPLS.2021.676884
Hatfield, J. L., and Dold, C. (2018). Agroclimatology and wheat production: coping with climate change. Front. Plant Sci. 9:224. doi: 10.3389/fpls.2018.00224
Hatfield, J. L., and Prueger, J. H. (2015). Temperature extremes: effect on plant growth and development. Weather Clim. Extrem. 10, 4–10. doi: 10.1016/J.WACE.2015.08.001
Havlík, P., Valin, H., Herrero, M., Obersteiner, M., Schmid, E., Rufino, M. C., et al. (2014). Climate change mitigation through livestock system transitions. Proc. Natl. Acad. Sci. U.S.A. 111, 3709–3714. doi: 10.1073/pnas.1308044111
Hayes, K., Blashki, G., Wiseman, J., Burke, S., and Reifels, L. (2018). Climate change and mental health: risks, impacts and priority actions. Int. J. Ment. Health Syst. 12:28. doi: 10.1186/S13033-018-0210-6/METRICS
Headey, D. D., and Martin, W. J. (2016). The impact of food prices on poverty and food security. Annu. Rev. Resour. Econ. 8, 329–351. doi: 10.1146/annurev-resource-100815-095303
Heal, G. M., and Millner, A. (2014a). Agreeing to disagree on climate policy. Proc. Natl. Acad. Sci. U.S.A. 111, 3695–3698. doi: 10.1073/pnas.1315987111
Heal, G., and Millner, A. (2014b). Uncertainty and decision making in climate change economics. Rev. Environ. Econ. Policy 8, 120–137. doi: 10.1093/reep/ret023
Hedenus, F., Wirsenius, S., and Johansson, D. J. A. (2014). The importance of reduced meat and dairy consumption for meeting stringent climate change targets. Clim. Change 124, 79–91. doi: 10.1007/s10584-014-1104-5
Hegerl, G. C., Brönnimann, S., Cowan, T., Friedman, A. R., Hawkins, E., Iles, C., et al. (2019). Causes of climate change over the historical record. Environ. Res. Lett. 14:123006. doi: 10.1088/1748-9326/AB4557
Herbert, R., Wilcox, L. J., Joshi, M., Highwood, E., and Frame, D. (2022). Nonlinear response of Asian summer monsoon precipitation to emission reductions in South and East Asia. Environ. Res. Lett. 17:014005. doi: 10.1088/1748-9326/ac3b19
Herforth, A., and Ahmed, S. (2015). The food environment, its effects on dietary consumption, and potential for measurement within agriculture-nutrition interventions. Food Secur. 7, 505–520. doi: 10.1007/s12571-015-0455-8
Herrero, M., Wirsenius, S., Henderson, B., Rigolot, C., Thornton, P., Havlík, P., et al. (2015). Livestock and the environment: What have we learned in the past decade? Annu. Rev. Environ. Resour. 40, 177–202. doi: 10.1146/annurev-environ-031113-093503
Hertel, T. W., and Baldos, U. L. C. (2016). Attaining food and environmental security in an era of globalization. Glob. Environ. Change 41, 195–205. doi: 10.1016/j.gloenvcha.2016.10.006
Hertel, T. W., and Tyner, W. E. (2013). Market-mediated environmental impacts of biofuels. Glob. Food Secur. 2, 131–137. doi: 10.1016/j.gfs.2013.05.003
Hertel, T. W., Burke, M. B., and Lobell, D. B. (2010). The poverty implications of climate-induced crop yield changes by 2030. Glob. Environ. Change 20, 577–585. doi: 10.1016/j.gloenvcha.2010.07.001
Hertzler, G. (2007). Adapting to climate change and managing climate risks by using real options. Aust. J. Agric. Res. 58, 985–992. doi: 10.1071/AR06192
Hirsch, B. D. (2020). Managing Seasonal Weather Risk using Financial Instruments. Available online at: https://www.nuffieldscholar.org/reports/au/2018/managing-seasonal-weather-risk-using-financial-instruments (accessed March 27, 2022).
Hodges, R. J., Buzby, J. C., and Bennett, B. (2011). Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use. J. Agric. Sci. 149, 37–45. doi: 10.1017/S0021859610000936
Hoekstra, A. Y., Buurman, J., and Van Ginkel, K. C. H. (2018). Urban water security: a review. Environ. Res. Lett. 13:053002. doi: 10.1088/1748-9326/aaba52
Hoffman, F. M., Randerson, J. T., Arora, V. K., Bao, Q., Cadule, P., Ji, D., et al. (2014). Causes and implications of persistent atmospheric carbon dioxide biases in Earth System Models. J. Geophys. Res. Biogeosci. 119, 141–162. doi: 10.1002/2013JG002381
Hollowed, A. B., Barange, M., Beamish, R. J., Brander, K., Cochrane, K., Drinkwater, K., et al. (2013). Projected impacts of climate change on marine fish and fisheries. ICES J. Mar. Sci. 70, 1023–1037. doi: 10.1093/icesjms/fst081
Holman, J. D., Schlegel, A. J., Thompson, C. R., and Lingenfelser, J. E. (2011). Influence of Precipitation, Temperature, and 56 Years on Winter Wheat Yields in Western Kansas. Crop Manage. 10, 1–10. doi: 10.1094/CM-2011-1229-01-RS
Hossain, N., Grebmer, K., von Towey, O., Foley, C., Patterson, F., Sonntag, A., et al. (2017). 2017 Global Hunger Index?: The Inequalities of Hunger. Washington, DC: International Food Policy Research Institute.
Hsiang, S. M., and Burke, M. (2014). Climate, conflict, and social stability: What does the evidence say? Clim. Change 123, 39–55. doi: 10.1007/s10584-013-0868-3
Hsiang, S. M., and Meng, K. C. (2014). Reconciling disagreement over climate-conflict results in Africa. Proc. Natl. Acad. Sci. U.S.A. 111, 2100–2103. doi: 10.1073/pnas.1316006111
Hughes, S. (2020). Principles, drivers, and policy tools for just climate change adaptation in legacy cities. Environ. Sci. Policy 111, 35–41. doi: 10.1016/J.ENVSCI.2020.05.007
Hunter, M. C., Smith, R. G., Schipanski, M. E., Atwood, L. W., and Mortensen, D. A. (2017). Agriculture in 2050: recalibrating targets for sustainable intensification. Bioscience 67, 386–391. doi: 10.1093/biosci/bix010
Huntington, H. P., Begossi, A., Gearheard, S. F., Kersey, B., Loring, P. A., Mustonen, T., et al. (2017). How small communities respond to environmental change: patterns from tropical to polar ecosystems. Ecol. Soc. 22:9.
Hussain, N., Ali, S., Hussain, A., Ali, S., Khan, S. W., Raza, G., et al. (2018). Climate Change Variability Trends andImplications for Freshwater Resourcesin Pakistan’s Eastern HinduKush Region. Pol. J. Environ. Stud. 27, 665–673. doi: 10.15244/PJOES/75960
Iniguez-Gallardo, V., Lenti Boero, D., and Tzanopoulos, J. (2021). Climate change and emotions: analysis of people’s emotional states in southern Ecuador. Front. Psychol. 12:4053. doi: 10.3389/FPSYG.2021.644240
IPCC (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Geneva: IPCC. doi: 10.1017/cbo9781139177245
IPCC (2015). Agriculture, Forestry and Other Land Use (AFOLU). Geneva: IPCC. doi: 10.1017/cbo9781107415416.017
IPCC (2019). 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Geneva: IPCC.
IPCC (2021). Climate Change 2021 The Physical Science Basis Summary for Policymakers Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: IPCC.
Islam, S. M. F., and Karim, Z. (2019). “World’s demand for food and water: the consequences of climate change,” in Desalination - Challenges and Opportunities, eds M. Farahani, V. Vatanpour, and A. Taheri (Rijeka: IntechOpen).
Israel, D. C., and Briones, R. M. (2012). Impacts of Natural Disasters on Agriculture, Food Security, and Natural Resources and Environment in the Philippines October 2012. Available online at: https://www.eria.org/ERIA-DP-2013-15.pdf (accessed March 26, 2022).
Ivanic, M., and Martin, W. (2008). Implications of higher global food prices for poverty in low-income countries 1. Agric. Econ. 39, 405–416. doi: 10.1111/j.1574-0862.2008.00347.x
Jackson, N. D., Konar, M., Debaere, P., and Sheffield, J. (2021). Crop-specific exposure to extreme temperature and moisture for the globe for the last half century. Environ. Res. Lett. 16:064006. doi: 10.1088/1748-9326/ABF8E0
Jamshidi, O., Asadi, A., Kalantari, K., Azadi, H., and Scheffran, J. (2019). Vulnerability to climate change of smallholder farmers in the Hamadan province. Iran. Clim. Risk Manage. 23, 146–159. doi: 10.1016/J.CRM.2018.06.002
Jha, R. (2018). Hunger and Malnutrition as Major Challenges of the 21st Century. Singapore: World Scientific Publishing. doi: 10.1142/10980
Jiménez-Donaire, M. D. P., Giráldez, J. V., and Vanwalleghem, T. (2020). Impact of climate change on agricultural droughts in Spain. Water 12:3214. doi: 10.3390/W12113214
Jin, Y., Zhang, Z., Xi, Y., Yang, Z., Xiao, Z., Guan, S., et al. (2021). Identification and functional verification of cold tolerance genes in spring maize seedlings based on a genome-wide association study and quantitative trait locus mapping. Front. Plant Sci. 12:776972. doi: 10.3389/FPLS.2021.776972
Johnson, N. C., Amaya, D. J., Ding, Q., Kosaka, Y., Tokinaga, H., and Xie, S. P. (2020). Multidecadal modulations of key metrics of global climate change. Glob. Planet. Change 188:103149. doi: 10.1016/J.GLOPLACHA.2020.103149
Johnson, N. L., Kovarik, C., Meinzen-Dick, R., Njuki, J., and Quisumbing, A. (2016). Gender, assets, and agricultural development: lessons from eight projects. World Dev. 83, 295–311. doi: 10.1016/J.WORLDDEV.2016.01.009
Jones, J. W., Antle, J. M., Basso, B., Boote, K. J., Conant, R. T., Foster, I., et al. (2017). Brief history of agricultural systems modeling. Agric. Syst. 155, 240–254. doi: 10.1016/J.AGSY.2016.05.014
Juroszek, P., and Von Tiedemann, A. (2013). Plant pathogens, insect pests and weeds in a changing global climate: a review of approaches, challenges, research gaps, key studies and concepts. J. Agric. Sci. 151, 163–188. doi: 10.1017/S0021859612000500
Kawarazuka, N., Locke, C., McDougall, C., Kantor, P., and Morgan, M. (2017). Bringing analysis of gender and social–ecological resilience together in small-scale fisheries research: challenges and opportunities. Ambio 46, 201–213. doi: 10.1007/s13280-016-0814-5
Keenan, R. J. (2015). Climate change impacts and adaptation in forest management: a review. Ann. For. Sci. 72, 145–167. doi: 10.1007/S13595-014-0446-5/TABLES/2
Kelley, C. P., Mohtadi, S., Cane, M. A., Seager, R., and Kushnir, Y. (2015). Climate change in the Fertile Crescent and implications of the recent Syrian drought. Proc. Natl. Acad. Sci. U.S.A. 112, 3241–3246. doi: 10.1073/pnas.1421533112
Khoury, C. K., Bjorkman, A. D., Dempewolf, H., Ramirez-Villegas, J., Guarino, L., Jarvis, A., et al. (2014). Increasing homogeneity in global food supplies and the implications for food security. Proc. Natl. Acad. Sci. U.S.A. 111, 4001–4006. doi: 10.1073/pnas.1313490111
Knight, A. T., Cowling, R. M., Rouget, M., Balmford, A., Lombard, A. T., and Campbell, B. M. (2008). Knowing but not doing: selecting priority conservation areas and the research–implementation gap. Conserv. Biol. 22, 610–617. doi: 10.1111/j.1523-1739.2008.00914.x
Knox, J., Hess, T., Daccache, A., and Wheeler, T. (2012). Climate change impacts on crop productivity in Africa and South Asia. Environ. Res. Lett. 7:034032. doi: 10.1088/1748-9326/7/3/034032
Knox, J., Hess, T., Daccache, A., Wiebe, K., Lotze-campen, H., Sands, R., et al. (2016). Meta-analysis of climate impacts and uncertainty on crop yields in Europe. Environ. Res. Lett. 11:113004. doi: 10.1088/1748-9326/11/11/113004
Kotir, J. H. (2011). Climate change and variability in Sub-Saharan Africa: a review of current and future trends and impacts on agriculture and food security. Environ. Dev. Sustain. 13, 587–605. doi: 10.1007/s10668-010-9278-0
Kramer, R. D., Ishii, H. R., Carter, K. R., Miyazaki, Y., Cavaleri, M. A., Araki, M. G., et al. (2020). Predicting effects of climate change on productivity and persistence of forest trees. Ecol. Res. 35, 562–574. doi: 10.1111/1440-1703.12127
Krysanova, V., Donnelly, C., Gelfan, A., Gerten, D., Arheimer, B., Hattermann, F., et al. (2018). How the performance of hydrological models relates to credibility of projections under climate change. Hydrol. Sci. J. 63, 696–720. doi: 10.1080/02626667.2018.1446214
Kumar, L., Chhogyel, N., Gopalakrishnan, T., Hasan, M. K., Jayasinghe, S. L., Kariyawasam, C. S., et al. (2022). Climate Change and Future of Agri-Food Production. Cambridge, MA: Academic Press. doi: 10.1016/B978-0-323-91001-9.00009-8
Kundzewicz, Z. W., Mata, L. J., Arnell, N. W., Döll, P., Jimenez, B., Miller, K., et al. (2008). The implications of projected climate change for freshwater resources and their management. Hydrol. Sci. J. 53, 3–10. doi: 10.1623/hysj.53.1.3
Lam, V. W. Y., Cheung, W. W. L., Reygondeau, G., and Sumaila, U. R. (2016). Projected change in global fisheries revenues under climate change. Sci. Rep. 6:32607. doi: 10.1038/srep32607
Lang, T., and Barling, D. (2013). Nutrition and sustainability: an emerging food policy discourse. Proc. Nutr. Soc. 72, 1–12. doi: 10.1017/S002966511200290X
Lee, Y. H., Sang, W. G., Baek, J. K., Kim, J. H., Shin, P., Seo, M. C., et al. (2020). The effect of concurrent elevation in CO2 and temperature on the growth, photosynthesis, and yield of potato crops. PLoS One 15:e0241081. doi: 10.1371/JOURNAL.PONE.0241081
Lemessa, S. D., Yismaw, M. A., and Watabaji, M. D. (2019). Risk induced farmers’ participation in agricultural innovations: evidence from a field experiment in eastern Ethiopia. Dev. Stud. Res. 6, 106–117. doi: 10.1080/21665095.2019.1629323
Lencucha, R., Pal, N. E., Appau, A., Thow, A. M., and Drope, J. (2020). Government policy and agricultural production: a scoping review to inform research and policy on healthy agricultural commodities. Glob. Health 16:11. doi: 10.1186/S12992-020-0542-2
Lenka, S., Lenka, N. K., Sejian, V., Mohanty, M. (2015). “Contribution of agriculture sector to climate change,” in Climate Change Impact on Livestock: Adaptation and Mitigation, eds Sejian, V., Gaughan, J., Baumgard, L., and Prasad, C. (New Delhi: Springer India), 37–48. doi: 10.1007/978-81-322-2265-1_3
Levy, B. S., Sidel, V. W., and Patz, J. A. (2017). Climate change and collective violence. Annu. Rev. Public Health 38, 241–257. doi: 10.1146/annurev-publhealth-031816-044232
Li, G., Shah, A. A., Khan, W. U., Yasin, N. A., Ahmad, A., Abbas, M., et al. (2021). Hydrogen sulfide mitigates cadmium induced toxicity in Brassica rapa by modulating physiochemical attributes, osmolyte metabolism and antioxidative machinery. Chemosphere 263:127999. doi: 10.1016/J.CHEMOSPHERE.2020.127999
Li, X., Yu, R., and Su, X. (2021). Environmental beliefs and pro-environmental behavioral intention of an environmentally themed exhibition audience: the mediation role of exhibition attachment. SAGE Open 11:215824402110279. doi: 10.1177/21582440211027966
Little, L. R., and Lin, B. B. (2017). A decision analysis approach to climate adaptation: a structured method to consider multiple options. Mitig. Adapt. Strateg. Glob. Change 22, 15–28. doi: 10.1007/s11027-015-9658-8
Liu, C., Hofstra, N., and Franz, E. (2013). Impacts of climate change on the microbial safety of pre-harvest leafy green vegetables as indicated by Escherichia coli O157 and Salmonella spp. Int. J. Food Microbiol. 163, 119–128. doi: 10.1016/J.IJFOODMICRO.2013.02.026
Liu, L., Ji, H., An, J., Shi, K., Ma, J., Liu, B., et al. (2019). Response of biomass accumulation in wheat to low-temperature stress at jointing and booting stages. Environ. Exp. Bot. 157, 46–57. doi: 10.1016/J.ENVEXPBOT.2018.09.026
Livensperger, C., Steltzer, H., Darrouzet-Nardi, A., Sullivan, P. F., Wallenstein, M., and Weintraub, M. N. (2019). Experimentally warmer and drier conditions in an Arctic plant community reveal microclimatic controls on senescence. Ecosphere 10:e02677. doi: 10.1002/ecs2.2677
Lloyd, S. J., Kovats, R. S., and Chalabi, Z. (2011). Climate change, crop yields, and undernutrition: development of a model to quantify the impact of climate scenarios on child undernutrition. Environ. Health Perspect. 119, 1817–1823. doi: 10.1289/ehp.1003311
Lobell, D. B., Cassman, K. G., and Field, C. B. (2009). Crop yield gaps: their importance, magnitudes, and causes. Annu. Rev. Environ. Resour. 34, 179–204. doi: 10.1146/annurev.environ.041008.093740
Lobell, D. B., Schlenker, W., and Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science 333, 616–620. doi: 10.1126/science.1204531
Loladze, I. (2014). Hidden shift of the ionome of plants exposed to elevated CO2 depletes minerals at the base of human nutrition. eLife 3:e02245. doi: 10.7554/eLife.02245
Long, S. P., Zhu, X.-G., Naidu, S. L., and Ort, D. R. (2006). Can improvement in photosynthesis increase crop yields? Plant Cell Environ. 29, 315–330. doi: 10.1111/j.1365-3040.2005.01493.x
Lorenz, C., Kunstmann, H., Lorenz, C., and Kunstmann, H. (2012). The Hydrological Cycle in Three State-of-the-art reanalyses: intercomparison and performance analysis. J. Hydrometeorol. 13, 1397–1420. doi: 10.1175/JHM-D-11-088.1
Ludi, E. (2009). Climate Change, Water and Food Security - ODI Background Note. ODI Backgr. Notes, 8. Available online at: https://cdn.odi.org/media/documents/4116.pdf (accessed March 29, 2022).
Mach, K. J., Mastrandrea, M. D., Bilir, T. E., and Field, C. B. (2016). Understanding and responding to danger from climate change: the role of key risks in the IPCC AR5. Clim. Change 136, 427–444. doi: 10.1007/s10584-016-1645-x
Mahmood, H. Z., Hussain, I., Iftikhar, S., Khan, M., and Nisa, F. R. (2014). Role of livestock in food security: an ascertainment from Punjab Pakistan. Int. J. Acad. Res. Bus. Soc. Sci. 4, 458–470. doi: 10.6007/ijarbss/v4-i8/1121
Mahmoud, S. H., and Gan, T. Y. (2018). Impact of anthropogenic climate change and human activities on environment and ecosystem services in arid regions. Sci. Total Environ. 633, 1329–1344. doi: 10.1016/J.SCITOTENV.2018.03.290
Mall, R. K., Srivastava, R. K., Banerjee, T., Mishra, O. P., Bhatt, D., and Sonkar, G. (2019). Disaster risk reduction including climate change adaptation over South Asia: challenges and ways forward. Int. J. Disaster Risk Sci. 10, 14–27. doi: 10.1007/S13753-018-0210-9/FIGURES/2
Marengo, J. A. (2020). Drought, floods, climate change, and forest loss in the amazon region: A present and future danger? Front. Young Minds 8:147. doi: 10.3389/FRYM.2019.00147
Marques, A., Nunes, M. L., Moore, S. K., and Strom, M. S. (2010a). Climate change and seafood safety: human health implications. Food Res. Int. 43, 1766–1779. doi: 10.1016/J.FOODRES.2010.02.010
Marques, A., Nunes, M. L., Moore, S. K., and Strom, M. S. (2010b). Climate change and seafood safety: human health implications. Food Res. Int. 43, 1766–1779. doi: 10.1016/j.foodres.2010.02.010
Martin, W., and Ivanic, M. (2016). “Food price changes, price insulation, and their impacts on global and domestic poverty,” in Food Price Volatility and Its Implications for Food Security and Policy, eds M. Kalkuhl, J. von Braun and M. Torero (Cham: Springer International Publishing), 101–113. doi: 10.1007/978-3-319-28201-5_5
Martinich, J., Crimmins, A., Beach, R. H., Thomson, A., and McFarland, J. (2017). Focus on agriculture and forestry benefits of reducing climate change impacts. Environ. Res. Lett. 12:060301. doi: 10.1088/1748-9326/aa6f23
Masipa, T. S. (2017). The impact of climate change on food security in South Africa: current realities and challenges ahead. Jamba 9:411. doi: 10.4102/jamba.v9i1.411
Mason-D’Croz, D., Vervoort, J., Palazzo, A., Islam, S., Lord, S., Helfgott, A., et al. (2016). Multi-factor, multi-state, multi-model scenarios: exploring food and climate futures for Southeast Asia. Environ. Model. Softw. 83, 255–270. doi: 10.1016/J.ENVSOFT.2016.05.008
Mataya, D. C., Vincent, K., and Dougill, A. J. (2019). How can we effectively build capacity to adapt to climate change? Insights from Malawi. Clim. Dev. 12, 781–790. doi: 10.1080/17565529.2019.1694480
Maxwell, D., Russo, L., and Alinovi, L. (2012). Constraints to addressing food insecurity in protracted crises. Proc. Natl. Acad. Sci. U.S.A. 109, 12321–12325. doi: 10.1073/PNAS.0913215108
McDonald, R. I., Green, P., Balk, D., Fekete, B. M., Revenga, C., Todd, M., et al. (2011). Urban growth, climate change, and freshwater availability. Proc. Natl. Acad. Sci. U.S.A. 108, 6312–6317. doi: 10.1073/pnas.1011615108
Mearns, R., and Norton, A. (2010). Social Dimensions of Climate Change?: Equity and Vulnerability in a Warming World. World Bank Publ. Available online at: https://ideas.repec.org/b/wbk/wbpubs/2689.html (accessed October 28, 2019).
Medek, D. E., Schwartz, J., and Myers, S. S. (2017). Estimated effects of future atmospheric CO2 concentrations on protein intake and the risk of protein deficiency by Country and Region. Environ. Health Perspect. 125:087002. doi: 10.1289/EHP41
Medina, A., Rodriguez, A., and Magan, N. (2014). Effect of climate change on Aspergillus flavus and aflatoxin B1 production. Front. Microbiol. 5:348. doi: 10.3389/fmicb.2014.00348
Mekonnen, A., Tessema, A., Ganewo, Z., and Haile, A. (2021). Climate change impacts on household food security and farmers adaptation strategies. J. Agric. Food Res. 6:100197. doi: 10.1016/J.JAFR.2021.100197
Mendelsohn, R., and Dinar, A. (2009). Land use and climate change interactions. Annu. Rev. Resour. Econ. 1, 309–332. doi: 10.1146/annurev.resource.050708.144246
Mohammadi, E., Singh, S. J., McCordic, C., and Pittman, J. (2022). Food security challenges and options in the Caribbean: insights from a scoping review. Anthr. Sci. 1, 91–108. doi: 10.1007/S44177-021-00008-8
Molotoks, A., Smith, P., and Dawson, T. P. (2021). Impacts of land use, population, and climate change on global food security. Food Energy Secur. 10:e261. doi: 10.1002/fes3.261
Molua, E. L. (2012). Gendered response and risk-coping capacity to climate variability for sustained food security in Northern Cameroon. Int. J. Clim. Change Strateg. Manage. 4, 277–307. doi: 10.1108/17568691211248739
Monckton, D., and Mendham, D. S. (2022). Maximising the benefits of trees on farms in Tasmania–a desktop review of investment opportunities to improve farm enterprise productivity, profitability and sustainability. Aust. For. 85, 6–12. doi: 10.1080/00049158.2022.2027648
Moon, T., Ahlstrøm, A., Goelzer, H., Lipscomb, W., and Nowicki, S. (2018). Rising oceans guaranteed: arctic land ice loss and sea level rise. Curr. Clim. Change Rep. 4, 211–222. doi: 10.1007/S40641-018-0107-0
Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., and Foley, J. A. (2012). Closing yield gaps through nutrient and water management. Nature 490, 254–257. doi: 10.1038/nature11420
Muluneh, M. G. (2021). Impact of climate change on biodiversity and food security: a global perspective—a review article. Agric. Food Secur. 10:36. doi: 10.1186/s40066-021-00318-5
Mumtaz, M., Oliveira, J. A. P., and de, and Ali, S. H. (2019). “Climate change impacts and adaptation in agricultural sector: the case of local responses in Punjab, Pakistan,” in Climate Change and Agriculture, ed. S. Hussain (Rijeka: IntechOpen). doi: 10.5772/INTECHOPEN.83553
Murray, B. C., and Baker, J. S. (2011). An output-based intensity approach for crediting greenhouse gas mitigation in agriculture: explanation and policy implications. Greenh. Gas Meas. Manage. 1, 27–36. doi: 10.3763/ghgmm.2010.0004
Myers, S. S., Smith, M. R., Guth, S., Golden, C. D., Vaitla, B., Mueller, N. D., et al. (2017). Climate change and global food systems: potential impacts on food security and Undernutrition. Annu. Rev. Public Health 38, 259–277. doi: 10.1146/annurev-publhealth-031816-044356
Myers, S. S., Wessells, K. R., Kloog, I., Zanobetti, A., and Schwartz, J. (2015). Effect of increased concentrations of atmospheric carbon dioxide on the global threat of zinc deficiency: a modelling study. Lancet Glob. Heal. 3, e639–e645. doi: 10.1016/S2214-109X(15)00093-5
Myers, S. S., Zanobetti, A., Kloog, I., Huybers, P., Leakey, A. D. B., Bloom, A. J., et al. (2014). Increasing CO2 threatens human nutrition. Nature 510, 139–142. doi: 10.1038/nature13179
Myhre, C. L., Hermansen, O., Fiebig, M., Lunder, C., Fjaeraa, A. M., Svendby, T., et al. (2016). Monitoring of Greenhouse Gases and Aerosols at Svalbard and Birkenes in 2015 - Annual report. Available online at: https://www.nilu.com/publication/29394/ (accesssed March 26, 2022).
Naess, L. O., Newell, P., Newsham, A., Phillips, J., Quan, J., and Tanner, T. (2015). Climate policy meets national development contexts: insights from Kenya and Mozambique. Glob. Environ. Change 35, 534–544. doi: 10.1016/j.gloenvcha.2015.08.015
Nassopoulos, H., Dumas, P., and Hallegatte, S. (2012). Adaptation to an uncertain climate change: cost benefit analysis and robust decision making for dam dimensioning. Clim. Change 114, 497–508. doi: 10.1007/s10584-012-0423-7
Nawrotzki, R. J., Robson, K., Gutilla, M. J., Hunter, L. M., Twine, W., and Norlund, P. (2014). Exploring the impact of the 2008 global food crisis on food security among vulnerable households in rural South Africa. Food Secur. 6, 283–297. doi: 10.1007/s12571-014-0336-6
Ncube, D. (2020). The importance of contract farming to small-scale farmers in Africa and the implications for policy: a review Scenario. Open Agric. J. 14, 59–86. doi: 10.2174/1874331502014010059
Nelson, G. C., Rosegrant, M. W., Koo, J., Robertson, R., Sulser, T., Zhu, T., et al. (2009). Climate Change: Impact on Agriculture and Costs of Adaptation. Washington, DC: International Food Policy Research Institute. doi: 10.2499/089629535
Nelson, G. C., Valin, H., Sands, R. D., Havlík, P., Ahammad, H., Deryng, D., et al. (2014). Climate change effects on agriculture: economic responses to biophysical shocks. Proc. Natl. Acad. Sci. U.S.A. 111, 3274–3279. doi: 10.1073/pnas.1222465110
Nelson, G., Bogard, J., Lividini, K., Arsenault, J., Riley, M., Sulser, T. B., et al. (2018). Income growth and climate change effects on global nutrition security to mid-century. Nat. Sustain. 1, 773–781. doi: 10.1038/s41893-018-0192-z
Nestel, P., Bouis, H. E., Meenakshi, J. V., and Pfeiffer, W. (2006). Biofortification of staple food crops. J. Nutr. 136, 1064–1067. doi: 10.1093/jn/136.4.1064
Newell, B. R., McDonald, R. I., Brewer, M., and Hayes, B. K. (2014). The psychology of environmental decisions. Annu. Rev. Environ. Resour. 39, 443–467. doi: 10.1146/annurev-environ-010713-094623
Ngure, F. M., Reid, B. M., Humphrey, J. H., Mbuya, M. N., Pelto, G., and Stoltzfus, R. J. (2014). Water, sanitation, and hygiene (WASH), environmental enteropathy, nutrition, and early child development: making the links. Ann. N. Y. Acad. Sci. 1308, 118–128. doi: 10.1111/nyas.12330
Nikas, A., Doukas, H., and Martínez López, L. (2018). A group decision making tool for assessing climate policy risks against multiple criteria. Heliyon 4:e00588. doi: 10.1016/J.HELIYON.2018.E00588
Nissen, K. M., and Ulbrich, U. (2017). Increasing frequencies and changing characteristics of heavy precipitation events threatening infrastructure in Europe under climate change. Nat. Hazards Earth Syst. Sci. 17, 1177–1190. doi: 10.5194/NHESS-17-1177-2017
Nkumulwa, H. O., and Pauline, N. M. (2021). Role of Climate-Smart Agriculture in Enhancing Farmers’ Livelihoods and Sustainable Forest Management: a Case of Villages Around Songe-Bokwa Forest, Kilindi District, Tanzania. Front. Sustain. Food Syst. 5:671419. doi: 10.3389/FSUFS.2021.671419
Noiret, B. (2016). Food security in a changing climate: a plea for ambitious action and inclusive development. Development 59, 237–242. doi: 10.1057/s41301-017-0092-y
Notenbaert, A., Pfeifer, C., Silvestri, S., and Herrero, M. (2017). Targeting, out-scaling and prioritising climate-smart interventions in agricultural systems: Lessons from applying a generic framework to the livestock sector in sub-Saharan Africa. Agric. Syst. 151, 153–162. doi: 10.1016/j.agsy.2016.05.017
Nunes, L. J. R., Meireles, C. I. R., Gomes, C. J. P., and Ribeiro, N. M. C. A. (2022). The impact of climate change on forest development: a sustainable approach to management models applied to Mediterranean-type climate regions. Plants 11:69. doi: 10.3390/PLANTS11010069
Nurhasanah Ritonga, F., and Chen, S. (2020). Physiological and molecular mechanism involved in cold stress tolerance in plants. Plants 9:560. doi: 10.3390/PLANTS9050560
Oliver, E. C. J., Burrows, M. T., Donat, M. G., Sen Gupta, A., Alexander, L. V., Perkins-Kirkpatrick, S. E., et al. (2019). Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact. Front. Mar. Sci. 6:734. doi: 10.3389/FMARS.2019.00734/BIBTEX
Oppenheimer, M., Little, C. M., and Cooke, R. M. (2016). Expert judgement and uncertainty quantification for climate change. Nat. Clim. Change 6, 445–451. doi: 10.1038/nclimate2959
Orsato, R. J., Barakat, S. R., and de Campos, J. G. F. (2017). Organizational adaptation to climate change: learning to anticipate energy disruptions. Int. J. Clim. Change Strateg. Manage. 9, 645–665. doi: 10.1108/IJCCSM-09-2016-0146
Palazzo, A., Vervoort, J. M., Mason-D’Croz, D., Rutting, L., Havlík, P., Islam, S., et al. (2017). Linking regional stakeholder scenarios and shared socioeconomic pathways: quantified West African food and climate futures in a global context. Glob. Environ. Change 45, 227–242. doi: 10.1016/j.gloenvcha.2016.12.002
Panpakdee, C., and Limnirankul, B. (2018). Indicators for assessing social-ecological resilience: a case study of organic rice production in northern Thailand. Kasetsart J. Soc. Sci. 39, 414–421. doi: 10.1016/J.KJSS.2017.07.003
Park, H., and Kim, J. D. (2020). Transition towards green banking: role of financial regulators and financial institutions. Asian J. Sustain. Soc. Responsib. 5:5. doi: 10.1186/S41180-020-00034-3
Parry, M., Rosenzweig, C., and Livermore, M. (2005). Climate change, global food supply and risk of hunger. Philos. Trans. R. Soc. B Biol. Sci. 360, 2125–2138. doi: 10.1098/rstb.2005.1751
Paterson, R. R. M., and Lima, N. (2010). How will climate change affect mycotoxins in food? Food Res. Int. 43, 1902–1914. doi: 10.1016/j.foodres.2009.07.010
Peña-Lévano, L. M., Taheripour, F., and Tyner, W. E. (2019). Climate change interactions with agriculture, forestry sequestration, and food security. Environ. Resour. Econ. 74, 653–675. doi: 10.1007/S10640-019-00339-6/TABLES/2
Phiiri, G. K., Egeru, A., and Ekwamu, A. (2016). Climate Change and Agriculture Nexus in Sub-Saharan Africa?: the Agonizing Reality for Smallholder Farmers. Int. Curr. Res. Rev. 8, 57–64.
Piazzola, J., Bruch, W., Desnues, C., Parent, P., Yohia, C., and Canepa, E. (2021). Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: study of Offshore and Onshore Winds. Atmosphere 12:523. doi: 10.3390/ATMOS12040523
Pierrehumbert, R. T., Sato, M., Ruedy, R., Lo, K., Lea, D. W., and Medina-Elizade, M. (2000). Climate change and the tropical Pacific: the sleeping dragon wakes. Proc. Natl. Acad. Sci. U.S.A. 97, 1355–1358. doi: 10.1073/pnas.97.4.1355
Pillay, C., and van den Bergh, J. (2016). Human health impacts of climate change as a catalyst for public engagement. Int. J. Clim. Change Strateg. Manage. 8, 578–596. doi: 10.1108/IJCCSM-06-2015-0084
Pingali, P. L. (2012). Green revolution: impacts, limits, and the path ahead. Proc. Natl. Acad. Sci. U.S.A. 109, 12302–12308. doi: 10.1073/pnas.0912953109
Porter, J. J., Dessai, S., and Tompkins, E. L. (2014). What do we know about UK household adaptation to climate change? A systematic review. Clim. Change 127, 371–379. doi: 10.1007/s10584-014-1252-7
Powell, J. P., and Reinhard, S. (2015). Measuring the effects of extreme weather events on yields. Weather Clim. Extrem. 12, 69–79. doi: 10.1016/j.wace.2016.02.003
Pradeepkiran, J. A. (2019). Aquaculture role in global food security with nutritional value: a review. Transl. Anim. Sci. 3, 903–910. doi: 10.1093/tas/txz012
Quak, E.-J. (2018). Learning Journey on Changing Food Systems Food Systems in Protracted Crises: Strengthening Resilience against Shocks and Conflicts Changing Food Systems’ Second Thematic Session on ’Food Systems in the Context of. Available online at: https://assets.publishing.service.gov.uk/media/5c13d414ed915d0bbf782c94/Food_Systems_in_Protracted_Crises.pdf (accessed March 22, 2022).
Quisumbing, A. R., Rubin, D., Manfre, C., Waithanji, E., van den Bold, M., Olney, D., et al. (2015). Gender, assets, and market-oriented agriculture: learning from high-value crop and livestock projects in Africa and Asia. Agric. Hum. Values 32, 705–725. doi: 10.1007/s10460-015-9587-x
Rahim, H. L., Abidin, Z. Z., Ping, S. D. S., Alias, M. K., and Muhamad, A. I. (2014). Globalization and its effect on world poverty and inequality. Glob. J. Manage. Bus. 1, 9–13.
Rahman, M. S., Abbi Mohamad, O. B. I., Zarim, Z., and Bin, A. (2014). Climate change: a review of its health impact and percieved awareness by the young citizens. Glob. J. Health Sci. 6, 196–204. doi: 10.5539/GJHS.V6N4P196
Rahut, D. B., Aryal, J. P., Manchanda, N., and Sonobe, T. (2022). “Expectations for household food security in the coming decades: a global scenario,” in Future Foods, R. Bhat (Cambridge, MA: Academic Press), 107–131. doi: 10.1016/B978-0-323-91001-9.00002-5
Ramalho, J. C., Pais, I. P., Leitão, A. E., Guerra, M., Reboredo, F. H., Máguas, C. M., et al. (2018). Can Elevated Air [CO2] Conditions Mitigate the Predicted Warming Impact on the Quality of Coffee Bean? Front. Plant Sci. 9:287. doi: 10.3389/fpls.2018.00287
Ramesh, K., Matloob, A., Aslam, F., Florentine, S. K., and Chauhan, B. S. (2017). Weeds in a Changing Climate: vulnerabilities, Consequences, and Implications for Future Weed Management. Front. Plant Sci. 8:95. doi: 10.3389/fpls.2017.00095
Ramoutar-Prieschl, R., and Hachigonta, S. (2020). “Monitoring, evaluation and risk management,” in Management of Research Infrastructures: A South African Funding Perspective, eds R. Ramoutar-Prieschl and Hachigonta, S. (Cham: Springer).
Ramzan, M., Aslam, M. N., Akram, S., Shah, A. A., Danish, S., Islam, W., et al. (2021). Exogenous glutathione revealed protection to bacterial spot disease: modulation of photosystem II and H2O2 scavenging antioxidant enzyme system in Capsicum annum L. J. King Saud Univ. Sci. 33:101223. doi: 10.1016/J.JKSUS.2020.10.020
Ray, D. K., West, P. C., Clark, M., Gerber, J. S., Prishchepov, A. V., and Chatterjee, S. (2019). Climate change has likely already affected global food production. PLoS One 14:e0217148. doi: 10.1371/journal.pone.0217148
Raza, A. (2020). Metabolomics: a systems biology approach for enhancing heat stress tolerance in plants. Plant Cell Rep. 41, 741–763. doi: 10.1007/S00299-020-02635-8
Raza, A., Razzaq, A., Mehmood, S. S., Zou, X., Zhang, X., Lv, Y., et al. (2019). Impact of climate change on crops adaptation and strategies to tackle its outcome: a review. Plants 8:34. doi: 10.3390/PLANTS8020034
Raza, A., Tabassum, J., Kudapa, H., and Varshney, R. K. (2021). Can omics deliver temperature resilient ready-to-grow crops? Crit. Rev. Biotechnol. 41, 1209–1232. doi: 10.1080/07388551.2021.1898332
Raza, A., Tabassum, J., Mubarik, M. S., Anwar, S., Zahra, N., Sharif, Y., et al. (2022). Hydrogen sulfide: an emerging component against abiotic stress in plants. Plant Biol. 24, 540–558. doi: 10.1111/PLB.13368
Reikard, G. (2019). Volcanic emissions and air pollution: forecasts from time series models. Atmos. Environ. X 1:100001. doi: 10.1016/J.AEAOA.2018.100001
Reynolds, T. W., Waddington, S. R., Anderson, C. L., Chew, A., True, Z., and Cullen, A. (2015). Environmental impacts and constraints associated with the production of major food crops in Sub-Saharan Africa and South Asia. Food Secur. 7, 795–822. doi: 10.1007/s12571-015-0478-1
Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B. (2018). How much of the world’s food do smallholders produce? Glob. Food Secur. 17, 64–72. doi: 10.1016/J.GFS.2018.05.002
Ristaino, J. B., Anderson, P. K., Bebber, D. P., Brauman, K. A., Cunniffe, N. J., Fedoroff, N. V., et al. (2021). The persistent threat of emerging plant disease pandemics to global food security. Proc. Natl. Acad. Sci. U.S.A. 118:e2022239118. doi: 10.1073/PNAS.2022239118
Rohde, R., Muller, R., Jacobsen, R., Perlmutter, S., and Mosher, S. (2013). Berkeley earth temperature averaging process. Geoinform. Geostat. Overv. 1:2. doi: 10.4172/2327-4581.1000103
Rojas-Downing, M. M., Nejadhashemi, A. P., Harrigan, T., and Woznicki, S. A. (2017). Climate change and livestock: impacts, adaptation, and mitigation. Clim. Risk Manage. 16, 145–163. doi: 10.1016/J.CRM.2017.02.001
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., et al. (2014). Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Natl. Acad. Sci. U.S.A. 111, 3268–3273. doi: 10.1073/PNAS.1222463110
Rosenzweig, C., Iglesias, A., Yang, X. B., Epstein, P. R., and Chivian, E. (2001). Implications for food production, plant diseases, and pests. Glob. Change Hum. Health 2, 90–104. doi: 10.1023/A:1015086831467
Rosso Grossman, M. (2018). Climate change and the individual. Am. J. Comp. Law 66, 345–378. doi: 10.1093/AJCL/AVY018
Roy, A., and Haider, M. Z. (2019). Stern review on the economics of climate change: implications for Bangladesh. Int. J. Clim. Change Strateg. Manage. 11, 100–117. doi: 10.1108/IJCCSM-04-2017-0089
Saina, C. K., Murgor, D. K., and Murgor, F. A. (2013). “Climate change and food security,” in Environmental Change and Sustainability S. Silvern and Young, S. (Cham: Springer Nature). doi: 10.5772/55206
Saint Ville, A. S., Hickey, G. M., and Phillip, L. E. (2017). How do stakeholder interactions influence national food security policy in the Caribbean? The case of Saint Lucia. Food Policy 68, 53–64. doi: 10.1016/J.FOODPOL.2017.01.002
Sanchez-Sabate, R., and Sabaté, J. (2019). Consumer attitudes towards environmental concerns of meat consumption: a systematic review. Int. J. Environ. Res. Public Health 16:1220. doi: 10.3390/ijerph16071220
Santos, R. M., and Bakhshoodeh, R. (2021). Climate change/global warming/climate emergency versus general climate research: comparative bibliometric trends of publications. Heliyon 7:e08219. doi: 10.1016/J.HELIYON.2021.E08219
Saviolidis, N. M., Olafsdottir, G., Nicolau, M., Samoggia, A., Huber, E., Brimont, L., et al. (2020). Stakeholder perceptions of policy tools in support of sustainable food consumption in Europe: policy implications. Sustainability 12:7161. doi: 10.3390/su12177161
Schiermeier, Q. (2018). Droughts, heatwaves and floods: how to tell when climate change is to blame. Nature 560, 20–22. doi: 10.1038/D41586-018-05849-9
Schmidhuber, J., and Tubiello, F. N. (2007). Global food security under climate change. Proc. Natl. Acad. Sci. U.S.A. 104, 19703–19708. doi: 10.1073/pnas.0701976104
Schroeder, K., and Smaldone, A. (2015). Food insecurity: a concept analysis. Nurs. Forum 50, 274–284. doi: 10.1111/nuf.12118
Seidel, P. (2014). Extremwetterlagen und Auswirkungen auf Schaderreger – extreme Wissenslücken. Gesunde Pflanz. 66, 83–92. doi: 10.1007/s10343-014-0319-8
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., et al. (2012). “Changes in climate extremes and their impacts on the natural physical environment,” in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the IPCC, eds C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, K. L. Ebi, et al. (Cambridge: Cambridge University Press), 109–230.
Shah, A. A., Khan, W. U., Yasin, N. A., Akram, W., Ahmad, A., Abbas, M., et al. (2020b). Butanolide alleviated cadmium stress by improving plant growth, photosynthetic parameters and antioxidant defense system of Brassica oleracea. Chemosphere 261:127728. doi: 10.1016/J.CHEMOSPHERE.2020.127728
Shah, A. A., Ahmed, S., Ali, A., and Yasin, N. A. (2020a). 2-Hydroxymelatonin mitigates cadmium stress in Cucumis sativus seedlings: modulation of antioxidant enzymes and polyamines. Chemosphere 243:125308. doi: 10.1016/J.CHEMOSPHERE.2019.125308
Shah, A. A., Ahmed, S., and Yasin, N. A. (2019). 2-Hydroxymelatonin induced nutritional orchestration in Cucumis sativus under cadmium toxicity: modulation of non-enzymatic antioxidants and gene expression. Int. J. Phytoremediation 22, 497–507. doi: 10.1080/15226514.2019.1683715
Shah, H., Hellegers, P., and Siderius, C. (2021). Climate risk to agriculture: a synthesis to define different types of critical moments. Clim. Risk Manage. 34:100378. doi: 10.1016/J.CRM.2021.100378
Shcherbak, I., Millar, N., and Robertson, G. P. (2014). Global metaanalysis of the nonlinear response of soil nitrous oxide (N 2 O) emissions to fertilizer nitrogen. Proc. Natl. Acad. Sci. U.S.A. 111, 9199–9204. doi: 10.1073/pnas.1322434111
Sheahan, M., and Barrett, C. B. (2017). Review: food loss and waste in Sub-Saharan Africa. Food Policy 70, 1–12. doi: 10.1016/j.foodpol.2017.03.012
Shepon, A., Eshel, G., Noor, E., and Milo, R. (2016). Energy and protein feed-to-food conversion efficiencies in the US and potential food security gains from dietary changes. Environ. Res. Lett. 11:105002. doi: 10.1088/1748-9326/11/10/105002
Shoaib, S. A., Khan, M. Z. K., Sultana, N., and Mahmood, T. H. (2021). Quantifying uncertainty in food security modeling. Agriculture 11:33. doi: 10.3390/agriculture11010033
Shongwe, M. E., Van Oldenborgh, G. J., Van Den Hurk, B. J. J. M., De Boer, B., Coelho, C. A. S., and Van Aalst, M. K. (2009). Projected Changes in Mean and Extreme Precipitation in Africa under Global Warming. Part I: Southern Africa. J. Clim. 22, 3819–3837. doi: 10.1175/2009JCLI2317.1
Shrivastava, P., and Kumar, R. (2015). Soil salinity: a serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation. Saudi J. Biol. Sci. 22, 123–131. doi: 10.1016/J.SJBS.2014.12.001
Sibiko, K. W., Veettil, P. C., and Qaim, M. (2018). Small farmers’ preferences for weather index insurance: insights from Kenya. Agric. Food Secur. 7, 1–14. doi: 10.1186/S40066-018-0200-6/TABLES/6
Siddiqui, F., Salam, R. A., Lassi, Z. S., and Das, J. K. (2020). The intertwined relationship between malnutrition and poverty. Front. Public Heal. 8:453. doi: 10.3389/FPUBH.2020.00453
Sieber, S., Tscherning, K., Graef, F., Uckert, G., and Paloma, S. G. Y. (2015). Food security in the context of climate change and bioenergy production in Tanzania: methods, tools and applications. Reg. Environ. Change 15, 1163–1168. doi: 10.1007/s10113-015-0834-x
Sitati, A., Joe, E., Pentz, B., Grayson, C., Jaime, C., Gilmore, E., et al. (2021). Climate change adaptation in conflict-affected countries: a systematic assessment of evidence. Discov. Sustain. 2:42. doi: 10.1007/S43621-021-00052-9
Sloggy, M. R., Suter, J. F., Rad, M. R., Manning, D. T., and Goemans, C. (2021). Changing climate, changing minds? The effects of natural disasters on public perceptions of climate change. Clim. Change 168, 1–26. doi: 10.1007/S10584-021-03242-6/TABLES/12
Smederevac-Lalic, M., Finger, D., Kovách, I., Lenhardt, M., Petrovic, J., Djikanovic, V., et al. (2020). “Knowledge and environmental citizenship,” in Environmental Discourses in Science Education, eds A. C. Hadjichambis, P. Reis, D. Paraskeva-Hadjichambi, J. C̆inĕera, J. Boeve-de Pauw, N. Gericke, et al. (Cham: Springer), 69–82. doi: 10.1007/978-3-030-20249-1_5
Smith, M. R., and Myers, S. S. (2018). Impact of anthropogenic CO2 emissions on global human nutrition. Nat. Clim. Change 8, 834–839. doi: 10.1038/s41558-018-0253-3
Smith, M. R., and Myers, S. S. (2019). Global health implications of nutrient changes in rice under high atmospheric carbon dioxide. Geohealth 3, 190–200. doi: 10.1029/2019gh000188
Smith, P., Davis, S. J., Creutzig, F., Fuss, S., Minx, J., Gabrielle, B., et al. (2016). Biophysical and economic limits to negative CO2 emissions. Nat. Clim. Change 6, 42–50. doi: 10.1038/nclimate2870
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., et al. (2007). Global Climate Projections. Available online at: https://philpapers.org/rec/SOLGCP (accessed May 14, 2019).
Sovacool, B. K., Linnér, B. O., and Klein, R. J. T. (2017). Climate change adaptation and the Least Developed Countries Fund (LDCF): qualitative insights from policy implementation in the Asia-Pacific. Clim. Change 140, 209–226. doi: 10.1007/S10584-016-1839-2/TABLES/4
Spinoni, J., Barbosa, P., Cherlet, M., Forzieri, G., McCormick, N., Naumann, G., et al. (2021). How will the progressive global increase of arid areas affect population and land-use in the 21st century? Glob. Planet. Change 205:103597. doi: 10.1016/J.GLOPLACHA.2021.103597
Springmann, M., Mason-D’Croz, D., Robinson, S., Garnett, T., Godfray, H. C. J., Gollin, D., et al. (2016). Global and regional health effects of future food production under climate change: a modelling study. Lancet 387, 1937–1946. doi: 10.1016/S0140-6736(15)01156-3
Stage, J., and Thangavelu, T. (2019). Savings revisited: a replication study of a savings intervention in Malawi. J. Dev. Eff. 11, 313–326. doi: 10.1080/19439342.2019.1679859
Steenwerth, K. L., Hodson, A. K., Bloom, A. J., Carter, M. R., Cattaneo, A., Chartres, C. J., et al. (2014). Climate-smart agriculture global research agenda: scientific basis for action. Agric. Food Secur. 3, 1–39. doi: 10.1186/2048-7010-3-11/FIGURES/12
Steltzer, H., and Post, E. (2009). Seasons and life cycles. Science 324, 886–887. doi: 10.1126/science.1171542
Stringer, L. C., Fraser, E. D. G., Harris, D., Lyon, C., Pereira, L., Ward, C. F. M., et al. (2020). Adaptation and development pathways for different types of farmers. Environ. Sci. Policy 104, 174–189. doi: 10.1016/J.ENVSCI.2019.10.007
Sugden, F., Maskey, N., Clement, F., Ramesh, V., Philip, A., and Rai, A. (2014). Agrarian stress and climate change in the Eastern Gangetic Plains: gendered vulnerability in a stratified social formation. Glob. Environ. Change 29, 258–269. doi: 10.1016/J.GLOENVCHA.2014.10.008
Sultan, B. (2012). Global warming threatens agricultural productivity in Africa and South Asia. Environ. Res. Lett. 7, 10–13. doi: 10.1088/1748-9326/7/4/041001
Summer, A., Lora, I., Formaggioni, P., and Gottardo, F. (2019). Impact of heat stress on milk and meat production. Anim. Front. 9, 39–46. doi: 10.1093/AF/VFY026
Sun, W., Wang, B., Liu, J., Chen, D., Gao, C., Ning, L., et al. (2019). How Northern High-Latitude Volcanic Eruptions in Different Seasons Affect ENSO. J. Clim. 32, 3245–3262. doi: 10.1175/JCLI-D-18-0290.1
Sundström, J. F., Albihn, A., Boqvist, S., Ljungvall, K., Marstorp, H., Martiin, C., et al. (2014). Future threats to agricultural food production posed by environmental degradation, climate change, and animal and plant diseases - a risk analysis in three economic and climate settings. Food Secur. 6, 201–215. doi: 10.1007/S12571-014-0331-Y/FIGURES/1
Syed, A., Raza, T., Bhatti, T. T., and Eash, N. S. (2022). Climate Impacts on the agricultural sector of Pakistan: risks and solutions. Environ. Challenges 6:100433. doi: 10.1016/J.ENVC.2021.100433
Sylvester, O. (2019). “Achieving food security in the face of inequity, climate change, and conflict,” in The Difficult Task of Peace, ed. F. Rojas Aravena (Cham: Palgrave Macmillan). doi: 10.1007/978-3-030-21974-1_13
Tarasuk, V., Fafard St-Germain, A. A., and Mitchell, A. (2019). Geographic and socio-demographic predictors of household food insecurity in Canada, 2011-12. BMC Public Health 19: 12. doi: 10.1186/S12889-018-6344-2/TABLES/3
Thompson, L. G. (2010). Climate change: the evidence and our options. Behav. Anal. 33, 153–170. doi: 10.1007/BF03392211
Thornton, P. K., and Gerber, P. J. (2010). Climate change and the growth of the livestock sector in developing countries. Mitig. Adapt. Strateg. Glob. Change 15, 169–184. doi: 10.1007/s11027-009-9210-9
Thornton, P. K., and Herrero, M. (2015). Adapting to climate change in the mixed crop and livestock farming systems in sub-Saharan Africa. Nat. Clim. Change 5, 830–836. doi: 10.1038/nclimate2754
Thornton, P. K., van de Steeg, J., Notenbaert, A., and Herrero, M. (2009). The impacts of climate change on livestock and livestock systems in developing countries: a review of what we know and what we need to know. Agric. Syst. 101, 113–127. doi: 10.1016/j.agsy.2009.05.002
Thornton, P., Nelson, G., Mayberry, D., and Herrero, M. (2022). Impacts of heat stress on global cattle production during the 21st century: a modelling study. Lancet Planet. Health 6, e192–e201. doi: 10.1016/S2542-5196(22)00002-X/ATTACHMENT/D757910F-23C8-45F1-A521-8554B8EA635D/MMC1.PDF
Tian, F., Dong, B., Robson, J., and Sutton, R. (2018). Forced decadal changes in the East Asian summer monsoon: the roles of greenhouse gases and anthropogenic aerosols. Clim. Dyn. 51, 3699–3715. doi: 10.1007/s00382-018-4105-7
Tilman, D., Balzer, C., Hill, J., and Befort, B. L. (2011). Global food demand and the sustainable intensification of agriculture. Proc. Natl. Acad. Sci. U.S.A. 108, 20260–20264. doi: 10.1073/pnas.1116437108
Tirado, M. C., Clarke, R., Jaykus, L. A., McQuatters-Gollop, A., and Frank, J. M. (2010). Climate change and food safety: a review. Food Res. Int. 43, 1745–1765. doi: 10.1016/J.FOODRES.2010.07.003
Tol, R. S. J. (2018). The economic impacts of climate change. Rev. Environ. Econ. Policy 12, 4–25. doi: 10.1093/reep/rex027
Toomey, A. H., Knight, A. T., and Barlow, J. (2017). Navigating the Space between Research and Implementation in Conservation. Conserv. Lett. 10, 619–625. doi: 10.1111/CONL.12315
Trenberth, K. E. (2018). Climate change caused by human activities is happening and it already has major consequences. J. Energy Nat. Resour. Law 36, 463–481. doi: 10.1080/02646811.2018.1450895
Udomkun, P., Wiredu, A. N., Nagle, M., Müller, J., Vanlauwe, B., and Bandyopadhyay, R. (2017). Innovative technologies to manage aflatoxins in foods and feeds and the profitability of application - A review. Food Control 76, 127–138. doi: 10.1016/j.foodcont.2017.01.008
Ullah, A., Bano, A., and Khan, N. (2021). Climate change and salinity effects on crops and chemical communication between plants and plant growth-promoting microorganisms under stress. Front. Sustain. Food Syst. 5: 618092. doi: 10.3389/FSUFS.2021.618092
Unsworth, K. L., Russell, S. V., and Davis, M. C. (2016). Is dealing with climate change a corporation’s responsibility? A social contract perspective. Front. Psychol. 7:1212. doi: 10.3389/FPSYG.2016.01212/BIBTEX
Uyttendaele, M., Liu, C., Hofstra, N., Uyttendaele, M., Liu, C., and Hofstra, N. (2015b). Special issue on the impacts of climate change on food safety. Food Res. Int. 68: 1–6. doi: 10.1016/J.FOODRES.2014.09.001
Uyttendaele, M., Franz, E., and Schlüter, O. (2015a). Food Safety, a Global Challenge. Int. J. Environ. Res. Public Health 13:67. doi: 10.3390/ijerph13010067
Van Bavel, J. (2013). The world population explosion: causes, backgrounds and -projections for the future. Facts Views Vis. Obgyn. 5, 281–291.
Van Der Meer, D. G., Zeebe, R. E., Van Hinsbergen, D. J. J., Sluijs, A., Spakman, W., and Torsvik, T. H. (2014). Plate tectonic controls on atmospheric CO2 levels since the Triassic. Proc. Natl. Acad. Sci. U.S.A. 111, 4380–4385. doi: 10.1073/PNAS.1315657111/SUPPL_FILE/PNAS.201315657SI.PDF
Varanasi, A., Prasad, P. V. V., and Jugulam, M. (2016). Impact of climate change factors on weeds and herbicide efficacy. Adv. Agron. 15, 107–146. doi: 10.1016/bs.agron.2015.09.002
Vermeulen, S. J., Campbell, B. M., and Ingram, J. S. I. (2012). Climate change and food systems. Annu. Rev. Environ. Resour. 37, 195–222. doi: 10.1146/annurev-environ-020411-130608
Vermeulen, S. J., Challinor, A. J., Thornton, P. K., Campbell, B. M., Eriyagama, N., Vervoort, J. M., et al. (2013). Addressing uncertainty in adaptation planning for agriculture. Proc. Natl. Acad. Sci. U.S.A. 110, 8357–8362. doi: 10.1073/pnas.1219441110
Vermeulen, S., and Campbell, B. (2015). Ten Principles for Effective AR4D Programs Change Adaptation and Mitigation. Available online at: https://www.researchgate.net/publication/309410406_Ten_principles_for_effective_AR4D_programs (accessed March 20, 2022).
Vervoort, J. M., Thornton, P. K., Kristjanson, P., Förch, W., Ericksen, P. J., Kok, K., et al. (2014). Challenges to scenario-guided adaptive action on food security under climate change. Glob. Environ. Change 28, 383–394. doi: 10.1016/J.GLOENVCHA.2014.03.001
von Braun, J., and Tadesse, G. (2012). Global Food Price Volatility and Spikes: An Overview of Costs, Causes, and Solutions. ZEF Discussion Papers on Development Policy, No. 161. Bonn: University of Bonn.
von Uexkull, N., Croicu, M., Fjelde, H., and Buhaug, H. (2016). Civil conflict sensitivity to growing-season drought. Proc. Natl. Acad. Sci. U.S.A. 113, 12391–12396. doi: 10.1073/pnas.1607542113
Wang, C., Amon, B., Schulz, K., and Mehdi, B. (2021). Factors that influence nitrous oxide emissions from agricultural soils as well as their representation in simulation models: a review. Agronomy 11:770. doi: 10.3390/agronomy11040770
Wang, S. J., and Zhou, L. Y. (2019). Integrated impacts of climate change on glacier tourism. Adv. Clim. Change Res. 10, 71–79. doi: 10.1016/J.ACCRE.2019.06.006
Wang, X., Liu, F. L., and Jiang, D. (2017). Priming: a promising strategy for crop production in response to future climate. J. Integr. Agric. 16, 2709–2716. doi: 10.1016/S2095-3119(17)61786-6
Waters-Bayer, A., Kristjanson, P., Wettasinha, C., van Veldhuizen, L., Quiroga, G., Swaans, K., et al. (2015). Exploring the impact of farmer-led research supported by civil society organisations. Agric. Food Secur. 4:4. doi: 10.1186/s40066-015-0023-7
Webb, P., Stordalen, G. A., Singh, S., Wijesinha-Bettoni, R., Shetty, P., and Lartey, A. (2018). Hunger and malnutrition in the 21st century. BMJ 361:k2238. doi: 10.1136/bmj.k2238
Weigel, H.-J. (2014). Plant quality declines as CO2 levels rise. eLife 3:e03233. doi: 10.7554/eLife.03233
Wheeler, T. (2015). Climate Change Impacts on Food Systems and Implications for Climate− Compatible Food Policies Book or Report Section. Available online at: http://centaur.reading.ac.uk/40648/1/FAO2.pdf (accessed March 29, 2022).
Williams, D. S., Rosendo, S., Sadasing, O., and Celliers, L. (2020). Identifying local governance capacity needs for implementing climate change adaptation in Mauritius. Clim. Policy 20, 548–562. doi: 10.1080/14693062.2020.1745743/SUPPL_FILE/TCPO_A_1745743_SM2600.DOCX
Wood, B. T., Quinn, C. H., Stringer, L. C., and Dougill, A. J. (2017). Investigating climate compatible development outcomes and their implications for distributive justice: evidence from Malawi. Environ. Manage. 60, 436–453. doi: 10.1007/s00267-017-0890-8
Wu, W., Verburg, P. H., and Tang, H. (2014). Climate change and the food production system: impacts and adaptation in China. Reg. Environ. Change 14, 1–5. doi: 10.1007/s10113-013-0528-1
Wu, X., Lu, Y., Zhou, S., Chen, L., and Xu, B. (2016). Impact of climate change on human infectious diseases: empirical evidence and human adaptation. Environ. Int. 86, 14–23. doi: 10.1016/J.ENVINT.2015.09.007
Yan, S., Chong, P., and Zhao, M. (2022). Effect of salt stress on the photosynthetic characteristics and endogenous hormones, and: a comprehensive evaluation of salt tolerance in Reaumuria soongorica seedlings. Plant Signal. Behav. 17:e2031782. doi: 10.1080/15592324.2022.2031782
Ye, L., Shi, K., Xin, Z., Wang, C., and Zhang, C. (2019). Compound Droughts and Heat Waves in China. Sustainability 11:3270. doi: 10.3390/SU11123270
Zhang, W. J., Huang, Z. L., Wang, Q., and Guan, Y. N. (2015). Effects of low temperature on leaf anatomy and photosynthetic performance in different genotypes of wheat following a rice crop. Int. J. Agric. Biol. 17, 1165–1171. doi: 10.17957/IJAB/15.0035
Zhang, W., Wang, J., Huang, Z., Mi, L., Xu, K., Wu, J., et al. (2019). Effects of low temperature at booting stage on sucrose metabolism and endogenous hormone contents in winter wheat spikelet. Front. Plant Sci. 10:498. doi: 10.3389/FPLS.2019.00498/BIBTEX
Zhang, W., Zhao, Y., Li, L., Xu, X., Yang, L., Luo, Z., et al. (2021). The effects of short-term exposure to low temperatures during the booting stage on starch synthesis and yields in wheat grain. Front. Plant Sci. 12:1320. doi: 10.3389/FPLS.2021.684784/BIBTEX
Zhang, Y., Liu, L., Chen, X., and Li, J. (2022). Effects of low-temperature stress during the anther differentiation period on winter wheat photosynthetic performance and spike-setting characteristics. Plants 11:389. doi: 10.3390/PLANTS11030389
Zhao, M., and Running, S. W. (2010). Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940–943. doi: 10.1126/science.1192666
Zheng, C., Chen, C., Zhang, X., Song, Z., Deng, A., Zhang, B., et al. (2016). Actual impacts of global warming on winter wheat yield in Eastern Himalayas. Int. J. Plant Prod. 10, 159–174.
Zheng, J., Liu, T., Zheng, Q., Li, J., Qian, Y., Li, J., et al. (2020). Identification of Cold Tolerance and Analysis of Genetic Diversity. Pak. J. Bot. 52, 839–849.
Zhou, L., and Turvey, C. G. (2015). Climate risk, income dynamics and nutrition intake in rural China. China Agric. Econ. Rev. 7, 197–220. doi: 10.1108/CAER-09-2013-0131
Zhou, T. (2021). New physical science behind climate change: What does IPCC AR6 tell us? Innovation 2:100173. doi: 10.1016/J.XINN.2021.100173
Ziervogel, G., and Ericksen, P. J. (2010). Adapting to climate change to sustain food security. Wiley Interdiscip. Rev. Clim. Change 1, 525–540. doi: 10.1002/wcc.56
Ziska, L. H., and Goins, E. W. (2006). Elevated atmospheric carbon dioxide and weed populations in glyphosate treated soybean. Crop Sci. 46:1354. doi: 10.2135/cropsci2005.10-0378
Ziska, L., Crimmins, A., Auclair, A., DeGrasse, S., Garofalo, J. F., Khan, A. S., et al. (2016). “Ch. 7: Food safety, nutrition, and distribution,” in The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment ed. D. Glick (Washington, DC: U.S. Global Change Research Program), 189–216. doi: 10.7930/J0ZP4417
Keywords: climate-smart food, environmental stresses, food safety, future crops, implementation challenges, climate adaptation
Citation: Farooq MS, Uzair M, Raza A, Habib M, Xu Y, Yousuf M, Yang SH and Ramzan Khan M (2022) Uncovering the Research Gaps to Alleviate the Negative Impacts of Climate Change on Food Security: A Review. Front. Plant Sci. 13:927535. doi: 10.3389/fpls.2022.927535
Received: 24 April 2022; Accepted: 15 June 2022;
Published: 11 July 2022.
Edited by:
Nasim Ahmad Yasin, University of the Punjab, PakistanReviewed by:
Waheed Ullah Khan, University of the Punjab, PakistanAqeel Ahmad, Chinese Academy of Sciences (CAS), China
Copyright © 2022 Farooq, Uzair, Raza, Habib, Xu, Yousuf, Yang and Ramzan Khan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Muhammad Shahbaz Farooq, bXNoYWhiYXpmYXJvb3E3ODZAZ21haWwuY29t; Seung Hwan Yang, eW1pY2hpZ2FuQGpudS5hYy5rcg==