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REVIEW article

Front. Environ. Sci., 22 March 2023
Sec. Environmental Systems Engineering
This article is part of the Research Topic Food-Energy-Water Systems: Achieving Climate Resilience and Sustainable Development in the 21st Century View all 21 articles

A systematic review of social equity in FEWS analyses

  • 1Natural Resource Ecology and Management, Iowa State University, Ames, IA, United States
  • 2Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA, United States

Integrating social equity considerations into analyses of the food-energy-water systems nexus (FEWS) could improve understanding of how to meet increasing resource demands without impacting social vulnerabilities. Effective integration requires a robust definition of equity and an enhanced understanding of reliable FEWS analysis methods. By exploring how equity has been incorporated into FEWS research in the United States and countries with similar national development, this systematic literature review builds a knowledge base to address a critical research need. Our objectives were to 1) catalog analysis methods and metrics relevant to assessing FEWS equity at varying scales; 2) characterize current studies and interpret shared themes; and 3) identify opportunities for future research and the advancement of equitable FEWS governance. FEWS equity definitions and metrics were categorized by respective system (food, energy, water, overall nexus) and common governance scales (local, regional, national, global). Two central issues were climate change, which increases FEWS risks for vulnerable populations, and sustainable development, which offers a promising framework for integrating equity and FEWS in policy-making contexts. Social equity in FEWS was integrated into studies through affordability, access, and sociocultural elements. This framework could support researchers and practitioners to include equity in FEWS analysis tools based on study scale, purpose, and resource availability. Research gaps identified during the review included a lack of studies effectively integrating all three systems, a need for publicly available datasets, omission of issues related to energy conversion facilities, and opportunities for integration of environmental justice modalities into FEWS research. This paper synthesized how social equity has previously been incorporated into FEWS and outlines pathways for further consideration of equity within nexus studies. Our findings suggested that continued exploration of connections between FEWS, equity, and policy development across scales could reduce social risks and vulnerabilities associated with these systems.

1 Introduction

Global demands on food, energy, and water systems (FEWS) are expected to increase by 35%–50% by 2030 (Endo et al., 2017). The growing human population and increasing affluence are important drivers for increased FEWS resource use, environmental impact, and social inequities (Hinrichs, 2014; James and Friel, 2015). The demand for increasingly productive and efficient FEWS has led to a growing focus on biophysical and engineered solutions, yet less focus has been on integrating social components within the FEWS framework (White et al., 2017). Based on these efforts, the concept of a FEWS nexus, emphasizing interdependencies between the production/conversion, distribution, and consumption of food, energy, and water resources, has emerged and garnered much attention over the past decade (Proctor et al., 2021).

The FEWS nexus is a growing research field involving systems thinking and integrated decision-making frameworks to balance tradeoffs between social, economic, and environmental goals (Kaddoura and El Khatib, 2017; Sodiq et al., 2019). FEWS research usually entails multidisciplinary studies, including tradeoffs and risks between systems (Zhang et al., 2019). The FEWS nexus concept has been successful as an analytical tool for optimizing select biophysical processes. However, it has been less successful as a tool to inform integrated policy and governance (Srigiri and Dombrowsky, 2022). Proctor et al. (2021) emphasized the need to incorporate aspects of sustainability, environmental equity, and resilience while criticizing the FEWS concept for merely rebranding existing paradigms, including the concept of sustainable development. Although improving sustainability is often an expressed purpose of FEWS research in many academic definitions, the methods and foci can be misaligned and fail to capture important aspects of sustainable systems necessary to guide coherent policy agendas (Endo et al., 2017; Srigiri and Dombrowsky, 2022).

The FEWS nexus has also been promoted as a valuable framework for confronting pressing climate and social changes (Endo et al., 2017). As FEWS research has grown over the last decade (Wang et al., 2022; Zhou et al., 2022), the majority of research efforts have focused on technical solutions to biophysical challenges of FEWS production, conversion and use (as per Newell et al., 2019). FEWS relationships have been well studied in many complex contexts, such as the relationship between food production and water use, as well as the interdependencies between energy demand and climate change impacts on food and water resources (Kaddoura and El Khatib, 2017). However, even with the growing body of literature, few studies incorporating social elements have emerged, and strategies for integrating the FEWS framework with social contexts remain scarce (Newell and Ramaswami, 2020).

FEWS are tightly linked to human activities, as their flows are essential influences on health, wellbeing, safety, economic opportunities, and sustainable development (Romero-Lankao and Gnatz, 2019). Understanding FEWS interactions from a sustainable system perspective while integrating social and economic factors is vital in the face of new and increasingly complex societal risks (White et al., 2017). Yet work by Newell and Ramaswami (2020) highlighted the lack of social equity and justice research relative to FEWS resource allocation, access, and affordability. To better account for these concepts, Proctor et al. (2021) demonstrated the need to integrate social science into quantitative FEWS analyses to understand power and equity dynamics that help to shape decision-making. FEWS nexus governance with coherence across sectors and scale while fostering principles of equitability, participation, sharing and empowerment is a framework highlighting the critical intersection between FEWS and social equity in this context (Yuan and Lo, 2022). Beyond including elements of social equity and justice into analytical frameworks, it is necessary to explicitly incorporate these considerations into policy and governance to better account for tradeoffs and identify inclusionary pathways to sustainable FEWS (Proctor et al., 2021).

To conceptualize equity in a FEWS context, various dimensions of social equality and justice must be considered. Social equality is a state of even distribution of resources across all people (Romero-Lankao and Gnatz, 2019). Social justice is a similar but more encompassing concept focusing on resource distribution and less quantifiable dimensions such as fair treatment and equal protection. As Smaal et al. (2020) epitomized, “the ‘what’ of justice [is] economic redistribution (equal share), cultural recognition (equal respect) and political representation (equal say)" (p. 712). Race, ethnicity, gender, and socioeconomic status are some of the identities that can act as cultural barriers to both distributional justice and effective participation or equal say in FEWS policy development (Romero-Lankao and Gnatz, 2019).

In an equitable system, high-quality FEWS resources are accessible regardless of power and assets of social, political, economic, or spatial nature. We consider equity analyses to entail explicit incorporation of social identity aspects and an attempt to measure the fair distribution of sufficient, affordable, and reliable FEWS resources (Romero-Lankao and Gnatz, 2019; Proctor et al., 2021). Additionally, a challenging but important consideration is cultural preferences, perceptions, and beliefs around FEWS resources, which can inform a more comprehensive understanding of FEWS equity (D’Odorico et al., 2018).

Interactions and interdependencies exist across spatial and temporal scales of social and biophysical systems, making scale a particularly important consideration for policy and decision-making related to FEWS equity (Garcia and You, 2016). Indeed, spatial scale is often cited as a challenging yet critical component of FEWS governance because resource management typically occurs across several policy scales (Pahl-Wostl et al., 2021). One study focused on governance outlined the importance of scale, finding that large-scale FEWS analyses generally supported policies that contextualized system interconnections yet missed impacts on communities and individuals, while smaller-scale analyses had the opposite strength and limitation (Tye et al., 2022). Another analytical governance framework used the perspective of overlapping centers of control (polycentricity) to explore biophysical and institutional interlinkages that support organization across scales for effective FEWS governance (Srigiri and Dombrowsky, 2022). Linkages between the respective FEWS exist at specific scales representing dependencies ranging from direct (e.g., local or regional energy use for pumping water to irrigate agricultural fields) to indirect (e.g., global virtual water exchanges via commodity crop trading) (Bijl et al., 2018). Furthermore, policy directives aimed at improving social equity outcomes are inherently scaled to the jurisdiction of the governing entity, such as in the United States, where often federal, state, and local governments have distinct roles in setting, implementing, and evaluating policy. Therefore, scale is an essential factor to include when evaluating social equity in FEWS.

Meaningful integration of social equity into FEWS research requires a robust understanding of how equity is defined and a toolbox of methods across spatial scales and applications. In this literature review, we collected and analyzed studies in the United States and countries with similar development that incorporated equity into FEWS research to build a knowledge base that begins to address the question of how to analyze social equity in the context of FEWS. Our objectives were to 1) catalog analysis methods and metrics relevant to assessing FEWS equity at varying scales; 2) characterize current studies and interpret shared themes; and 3) identify opportunities for future research and the advancement of equitable FEWS governance.

2 Materials and methods

A systematic literature review (SLR) was conducted to achieve the study objectives. SLRs are widely used for environmental studies, especially those addressing controversial or sensitive topics (Mariano et al., 2017). To avoid and mitigate potential selection bias, we followed a procedure developed by Mariano et al. (2017) that utilizes the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Page et al., 2021). The procedure includes four iterative steps: define protocol, collect references, evaluate data, and interpret findings (Figure 1).

FIGURE 1
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FIGURE 1. The process schematic for this social equity in FEWS analyses systematic literature review (SLR) followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and a framework developed by Marianao et al. (2017). The four-stage process is iterative and constructed to reduce bias in article selection. The notation “n =” refers to the number of articles reviewed at each stage of the process.

During the SLR process, papers were assessed, sorted, and analyzed based on working definitions of FEWS and social equity. Since these definitions served as a basis for inclusion (or exclusion) in the full SLR, it was important to establish a consensus between co-authors to maintain consistency. Indeed, Cairns and Krzywoszynska. (2016) found that FEWS can be an ambiguous concept often used to elicit normative reactions rather than serving as operational conceptual models for capturing interactions between the three systems. In the review process, we used the Food and Agriculture Organization (FAO) definition, which recognizes FEWS as a helpful concept that addresses interconnected food, energy, and water systems to better manage global resource systems to meet social, economic, and environmental aims (FAO, 2014). Similar to Allen. (2010), our working definition of FEWS equity is shared power and resources within the systems such that individuals and communities have defined needs adequately and sustainably met, with considerations for security and dignity.

While our focus was on attaining an operational concept of equity in specific relation to the FEWS nexus, we were hindered by a lack of studies that effectively connect the systems—a common finding among reviews of the FEWS field (Endo et al., 2017; Albrecht et al., 2018; Newell et al., 2019). Nevertheless, our approach followed a similar methodology to that of Tye et al. (2022) where we include nexus studies along with those focused on an individual sector with provisional relations to the other two. Including these individual system studies enabled a more comprehensive review of 49 studies, versus only six found for the overall nexus, and supports the identification of the most promising social equity integration methods across disciplines. However, the lack of integrated nexus studies does have implications, as discussed in Section 3.5.

2.1 Research protocol definitions

Our objective was to use SLR methods (Figure 1) to enhance understanding of how equity has been incorporated into recent FEWS analyses across scales. We assembled an advanced keyword search of three topics and one set of keywords. The topic keywords included three main categories: FEWS (food, energy, or water), analysis, and equity. Additionally, we searched for “system” and “nexus” as keywords to narrow our focus to only articles that used a systems approach. Relevant and synonymous keywords were also added as search terms (e.g., justice, equality) to establish a more comprehensive scope of material. An iterative search term approach was used; for example, “or agriculture” was added to the original “food or energy or water” search term to ensure that the food production stage was included. All search terms can be found in Figure 1.

All included articles met the following criteria: 1) articles published from 2000 until June 2021; 2) analyses focused on systems of food, energy, water, agriculture, and nexus (defined as any combination of the systems); and 3) analyses that tested or proposed methods for assessing, indexing, or modeling social equity using metrics. Although conceptual models or frameworks to enhance understanding of system dynamics without incorporating measurements were common, these studies were not included as they are not directly applicable to building FEWS analysis tools. Additional exclusion criteria included 1) self-contained case studies, 2) review articles, 3) articles not from a peer-reviewed journal (governmental and organizational reports or news articles), and 4) articles with full text not available in English.

To distinguish issues of social equity from disparities related to national development, we used the 2020 Human Development Index (HDI) value as a proxy to select nations at a similar development level (UNDP, 2020). The HDI is positively associated with increases in infrastructure services such as safe drinking water and electrical supply, thereby providing an indication of the degree of national development related to FEWS infrastructure (Kusharjanto and Kim, 2011; Amador-Jimenez and Willis, 2012; Bahadur, 2014; Mohanty et al., 2016; Liu et al., 2023). Our objective was to understand FEWS equity analyses at common scales (community, city, county, state, region) for application in the United States. Therefore, we evaluated articles that focused on countries with a similar 2020 HDI score to the United States (UNDP, 2020). We completed an in-depth analysis of articles containing countries with an HDI within the same decile as the United States (≥ 0.9) or an HDI ranking ≥ #27 (Figure 2). Literature associated with global analyses or that included countries both inside and outside the HDI range was included for full analysis. Articles corresponding to countries with lower HDI values were retained, but only diagonal readings (i.e., skimming the introduction, figures, tables, and conclusions of each paper; Mariano et al., 2017) were completed (n = 45).

FIGURE 2
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FIGURE 2. Number of articles from each country that were included in the literature review. Only countries with a Human Development Index (UNDP, 2020) of 0.9 or above were included.

2.2 Reference collection, data evaluation, and interpretation

Reference collection involved an advanced search in three widely used science databases (Scopus, Web of Science Core Collection, and Web of Science CAB Abstracts). Initial search terms resulted in 557 unique articles. Using co-author consensus at each stage, we filtered articles according to our inclusion and exclusion criteria (Figure 1). We logged important article characteristics relevant to our objectives to analyze and identify trends across all sample articles. Characteristics cataloged included FEWS focus, assessment tool, analysis method, system scale, data type, FEWs and equity metrics and equity integration. These characteristics were then used as the basis to identify emergent themes, research gaps, and opportunities for future work.

3 Results

The 49 FEWS equity articles that met all inclusion criteria focused on food systems (n = 21), energy systems (n = 10), water systems (n = 12), or a combination of two or more systems (n = 6), referred to as the FEWS nexus. Each article incorporated social equity into system analyses (as an assessment, an index, or a model) at a given scale: local (n = 20), regional (n = 13), national (n = 10), and global (n = 6). This section addresses the first two objectives of the review by cataloging analysis methods and metrics, followed by characterizing equity topics across scales, providing an interpretation of equity integration methods and examining the relationship between scale and FEWS equity.

3.1 Analysis methods and metrics

The FEWS equity analyses we reviewed used quantitative, qualitative, or mixed (i.e., a combination of quantitative and qualitative) methods (Table 1). Most studies (n = 37) exclusively used quantitative data at national and global scales, nine used mixed methods, and the remaining three used qualitative data at these scales. All three studies that exclusively used qualitative data were food system-focused, though the study scale varied (two local and one global). Energy-focused articles exclusively used quantitative methods, whereas mixed methods were used for water at a regional scale (n = 2) and the nexus at a global scale (n = 1) (Supplementary Material).

TABLE 1
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TABLE 1. Distribution of articles by FEWS focus (food, energy, water, nexus) and scale (local, regional, national, global). Each shape represents the methods used [square symbol used to denote quantitative methods, circle to denote qualitative methods, and triangle to denote mixed methods (quantitative and qualitative)]. The notation “n =” denotes the number and proportion of articles for each category.

The FEWS-related analysis tools found in the SLR were grouped into three types: assessment, model, or index. Each identified specific metrics or measures, setting a “tool” apart from a “framework.” An assessment was the most straightforward tool evaluating a relationship between FEWS and equity, such as studies involving qualitative appraisals or linear regressions. An index is a mathematical combination of measures or metrics indicating a proportional relationship. The most complex tool was a model representing interactions within a system. Most articles created an index (n = 33) to evaluate system interactions. However, the majority of articles focused on food systems used an assessment (n = 11) due to the types of data commonly associated with food systems. Occasionally analysis tools were used in combination; for example, Guo et al. (2019) created a water system model to predict technological changes for irrigation water efficiency based on shared socioeconomic pathways by incorporating standardized indices to conceptualize water security and water stress based on a variety of factors.

The most common metric for incorporating social equity across FEWS was demographic data which were generally integrated using census or survey demographics. Depending on study scale, the census often included household data by census block or county (e.g., Herrera et al., 2009). Other studies primarily used economic data to incorporate FEWS equity (e.g., Jacobson et al., 2005). In addition to census metrics, survey demographics included perceptions of personal and community health, measurements of food insecurity, agricultural work practices and pesticide use (e.g., Dean and Sharkey, 2011).

Other equity metrics incorporated external variables such as spatial data, including a neighborhood walkability index, land use, distances from farmers’ markets, community gardens, bus stops, and grocery stores (e.g., Lowery et al., 2016). Policy metrics were used only in food system-focused analyses. At the city scale, these included government spending on healthy local food, community gardens on city properties, grocery store area per capita, and the number of SNAP (Supplemental Nutrition Assistance Program) electronic benefit transfer operators (Freudenberg et al., 2018). At the national scale, these included a Healthy Food Policy Project framework that assessed regional food policy plans (Calancie et al., 2018). Other qualitative metrics included community wellbeing, risk probabilities, and perceptions (Simonovic, 2001).

Most analyses included specific metrics to characterize FEWS infrastructure for a given area, such as piped water leakages, water quality impairments, and complete plumbing access (e.g., Meehan et al., 2020). Land use was also incorporated with measures of agricultural land, livestock density, area of cropland, land area cleared for agriculture, rural population density, fertilizer use, and agricultural production (e.g., Tole, 2004; Schaider et al., 2019). Some studies also included environmental impact measures such as water quality, soil carbon density, correlation coefficients for land use, clusters of land use types and ecological benefits, energy balance, climate stabilization, clean air, biodiversity, and resource conservation (e.g., Zurek et al., 2018).

3.2 Equity topics across scales

Across scales of the reviewed FEWS articles, primary equity topics included the cost and affordability of resources, drinking water quality, access to healthy food, energy efficiency, exposure to environmental toxins, tradeoffs between climate goals and equity, and the ability to absorb risk and adapt to a changing climate (Figure 3). Disadvantaged or marginalized communities often experience barriers related to the cost of FEWS resources, which take up a disproportionately larger share of low-income households’ financial resources and leave less for other necessities such as healthcare and education (e.g., Cory and Taylor, 2017). Inordinately, toxic environmental exposures affect minority and under-resourced populations through contaminated drinking water (e.g., Balazs et al., 2011; 2012), poor labor conditions (e.g., McCauley et al., 2001), or proximity to pollution-inducing resource extraction (e.g., Burbidge and Adams, 2020). Many articles focused on equity related to climate change; efforts to meet emissions goals can exclude the poorest and most disadvantaged people, regions, and countries from growth and development or leave them without the ability to adapt to changing conditions (e.g., McEvoy and Wilder, 2012; Chakravarty and Tavoni, 2013).

FIGURE 3
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FIGURE 3. Major themes for food (green), energy (yellow), water (blue) and their nexus (red) identified for local, regional, national, and global scales.

Food system analyses at the global scale focused on the equitable allocation of resources by assessing the relationship between land-use efficiency, food supply (Duro et al., 2020), and concerns related to the scarcity of phosphorus for crop production (Cordell and White, 2015). Articles at the national scale focused on food system policies (Calancie et al., 2018; Zurek et al., 2018; Hossain et al., 2021), the use of big data in agriculture (Fleming et al., 2018), and access to land for crop production (Tole, 2004). Issues related to pesticide exposure for migrant laborers (McCauley et al., 2001) and equitable access to food (Dean and Sharkey, 2011; Mui et al., 2020) were addressed at the regional scale. A range of analyses was conducted at the local scale, including food access and affordability (Herrera et al., 2009; Freedman et al., 2013; Freudenberg et al., 2018; Boyer and Ramaswami, 2020; Murrell and Jones, 2020; Smaal et al., 2020; Ong et al., 2021), food production in community and residential gardens (McClintock et al., 2016; Butterfield, 2020), availability of local produce at farmers’ markets (Lowery et al., 2016), and access to organic foods (Garcia et al., 2020).

Energy articles focused on global climate change either by examining policy scenarios (Rozenberg et al., 2014) or by evaluating inequities in energy access arising from efforts to meet climate goals (Duro and Padilla, 2006; Chakravarty and Tavoni, 2013). Climate change was also addressed nationally; Tomás et al. (2020) analyzed carbon footprints versus municipal population sizes, and Xu and Chen’s (2019) study examined barriers to accessing energy-efficient appliances and technologies. Regional studies included issues arising from shale gas extraction in the United Kingdom (Burbidge and Adams, 2020) and equitable distribution of renewable energy conversion facilities (Sasse and Trutnevyte, 2019). Locally, energy system articles explored energy access and affordability (Bartiaux et al., 2018), household energy consumption based on economic factors (Jacobson et al., 2005) and energy efficiency of multifamily rental units (Pivo, 2014).

All articles evaluating water systems were at the local (n = 5) or regional (n = 7) scales. At the regional scale, water pricing, and affordability issues were recurring topics (Ward and Pulido-Velázquez, 2008; Goddard et al., 2021), along with strategies for equitable water management or allocation (Simonovic, 2001; Kim et al., 2018; Gullotta et al., 2021). Issues of drinking water contamination spanned scales, with nitrate exposure disparities studied regionally (Talley et al., 2016; Goddard et al., 2021) and locally (Schaider et al., 2019). Arsenic exposure disparity was also considered regionally (Balazs et al., 2011), and tradeoffs due to the cost of removal treatments at the local scale were investigated (Cory and Taylor, 2017). Additional articles at the local scale focused on rural citizens’ exposure to contaminants (Delpla et al., 2015), inequities in urban water infrastructure (Meehan et al., 2020), and water insecurity caused by climate change (Krueger et al., 2019).

Studies of the FEWS nexus focused on sustainability, resource allocation, and the effects of climate change. Schlör et al. (2018) explored metrics of equity and resilience of FEWS at a global scale and developed an index for comparing outcomes. National-scale articles described tradeoffs between sustainable growth and scarcity of FEW resources (Lee et al., 2021), interdependencies between food consumption and environmental impacts by demographic group (Bozeman et al., 2019), and equitable allocation of ecosystem services (Mullin et al., 2018). At a regional scale, McEvoy and Wilder. (2012) studied the compounding effect of energy-intensive desalination to solve water scarcity linked to climate change. Similarly, vulnerabilities to the consequences of climate change were studied locally to identify disparities in risk for varying demographic groups (English et al., 2013).

3.3 Equity characterization and integration

Understanding how equity, equality, and justice are defined and integrated into analyses in the context of FEWS provides insight into themes across systems and scales. “Equity” was the most widely used term among papers in the SLR, followed by equality and justice (Figure 4). There were many similarities in definitions, including a strong focus on resource access (n = 8) and distribution (n = 5) across both space (intragenerational) and time (intergenerational). Most articles that used “equity” as the primary term emphasized access, distribution, and affordability (e.g., McClintock et al., 2016). Resource quality was a significant component of many equity definitions, with healthy food, efficient energy systems, (Pivo, 2014; Freudenberg et al., 2018), and treated water specified as critical attributes of an equitable system (Ward and Pulido-Velázquez, 2008). Some articles that used “equity” also referenced the importance of inclusion and fair distribution across space and time (e.g., (Simonovic, 2001). Many articles that used “equality” used economic indicators and definitions to quantitatively measure resource distribution within FEWS (e.g., Lee et al., 2021). Articles using the term “justice” focused on distribution and qualitative definitions such as fair treatment and equal protection (e.g., Xu and Chen, 2019; Smaal et al., 2020).

FIGURE 4
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FIGURE 4. Equity terms found in articles included in this literature review, with number of articles using each and the system focus (food, energy, water, nexus) for each article.

3.4 Interpretation of equity themes

In the articles we reviewed, social equity was linked to FEWS in three major ways—affordability, access, and sociocultural context (Table 2). Affordability and access are accepted equity categorizations often used in conjunction with availability (Azuma et al., 2010; Kim and Blanck, 2011). However, in this review we found sufficient similarities between studies of access and availability to justify grouping them into a single category, while the analyses of complex issues related to sociocultural barriers to FEWS equity warranted their own category. Affordability (economic equity) is the simplest of the three, defined through economic metrics of income, wealth, or ability to pay for resources. Access is more complex and refers to the spatial proximity, availability, or even quality of the FEWS resource available to obtain and utilize. Finally, sociocultural context incorporates social and cultural preferences, perceptions, beliefs, and barriers. These themes offer a framing device for practical FEWS analyses and interventions as they span all systems and scales.

TABLE 2
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TABLE 2. Equity integration in FEWS analyses in three categories based on metrics used and characteristics of affordability, access, and sociocultural equity. The scale, tools, and metrics listed are not comprehensive but represent examples commonly used.

Articles that were focused on affordability and economic factors (n = 8) commonly used gross domestic product (GDP) to compare equity in countries at a global scale (Chakravarty and Tavoni, 2013; Duro et al., 2020) and household income to compare households in neighborhoods at regional and/or local scales (Jacobson et al., 2005; Tomás et al., 2020). While affordability studies often eschewed complex data inputs, analysis methods were more complex, with all studies involving either an index or model. Simple metrics such as income and GDP are relatively easy to collect, publicly available in many countries, and favorable inputs for statistical modeling. Economic disparities can highlight inequity hotspots in FEWS and serve as a useful basis for further investigation. Additional value can be gained by considering the cost of the resource in relation to income (a measure of affordability), as done by Goddard et al. (2021) who analyzed the affordability of California’s water system to identify tangible policies and solutions. However, a more powerful approach may be to combine these metrics with additional analyses that incorporate social, cultural, historical, and spatial considerations (Jacobson et al., 2005).

In the second category, article authors assessed quantitative data to explore spatial, quality, or quantity elements of FEWS access. Access equity was incorporated in 30 articles in our sample, with 12 studies at a local scale, eight at a regional, seven at a national and three at a global scale. These studies employed all analysis tools (assessments, indices, and models), with assessments being slightly more common (Table 2). Spatial elements of access capture essential nuances related to location (e.g., Garcia et al., 2020), such as the well-known phenomenon of food deserts (e.g., Murrell and Jones, 2020). Elements of quantity and quality were also used to indicate availability, such as whether a community or individual has access to enough of a high-quality resource. Access assessments are helpful for determining where to allocate additional resources or improve existing systems, as in the assessment by Balazs et al. (2012), which found that treatment facilities in low-income communities were ill-equipped to treat harmful arsenic in drinking water. Although indicators of access can be challenging to measure [food miles or environmental impacts as per Boyer and Ramaswami (2020)], the quantitative nature lends some ease to analysis allowing for statistical analysis and modeling. While access is an important element of equity that incorporates additional nuances, insights into sociocultural factors, such as social capital and personal preferences, are typically not captured (Mullin et al., 2018).

The final theme was the sociocultural context of FEWS equity. Sociocultural analyses usually require primary data collection through surveys, focus groups, and interviews. Close to one-quarter of the articles (n = 13) incorporated sociocultural equity, including ten studies at local and regional scales and three at national and global scales. These studies often use qualitative and quantitative data to understand multiple dimensions of access and equity beyond the biophysical context of FEWS equity. Analysis methods lean heavily towards assessments, reflecting the challenge of incorporating qualitative data in numerical and statistical modeling (Table 2). However, some studies overcame dual challenges related to data collection and analysis to model sociocultural elements of FEWS equity. For example, one study incorporated individual perceptions not easily determined using secondary datasets available at large scales, resulting in a model relating food insecurity to perceived disparity and social capital (e.g., Dean and Sharkey, 2011). Several of the studies in this category addressed risks and vulnerability associated with environmental factors and the ability of communities to adapt to changing climate conditions (McEvoy and Wilder, 2012; Krueger et al., 2019). Data collection for this type of analysis can be much more challenging and may require partnerships with organizations that have previously established relationships with local communities (e.g., Ong et al., 2021).

3.5 Relationship between scale and FEWS equity

Differences between where FEWS resources originate and how they are produced or converted have implications for the appropriate scale used to study social equity. Food system studies in our literature review included trade occurring at local to global scales. Energy systems were primarily studied regionally based on the electricity plants themselves; however, climate change impacts associated with the production and distribution of energy are global. Water systems were studied at the local (community water treatment plant) or regional (water source or watershed) scales and included water security metrics such as water use reduction and desalinization. Nexus articles most often studied equity in FEWS at the national scale and focused on environmental or ecosystem impacts of equitable systems.

Overall, the majority of studies assessed FEWS equity at local and regional scales, indicating that localized FEWS governance heavily influences equity outcomes. Local and regional studies were more likely to capture household-level nuances related to equity of access and sociocultural barriers to reduce inequities (Figure 5). For example, Meehan et al. (2020) found disparities in access to household plumbing between renters and homeowners, highlighting the need for policy coordination between city and state governments to address inadequacies in infrastructure and housing stock.

FIGURE 5
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FIGURE 5. Local- and regional,-scale study topics, locations and interactions by type of equity integration (affordability, access, sociocultural). The colors in this figure follow those in Figure 3 and Figure 4: Green denotes food articles, yellow denotes energy articles, blue denotes water articles, and orange denotes nexus articles.

While energy and water systems are often inherently local, elements that influence equity in food systems also require consideration at smaller scales, such as cultural preferences and distance from sources of healthful foods. The underrepresentation of nexus studies at local and regional scales points to a lack of integrated FEWS planning tools for local governance. Careful selection of appropriate scale and further development of localized nexus tools could help bridge the gap between the nexus as a concept and implementation of solutions to address FEWS equity. By examining decision-making and policy implications for FEWS equity studies, pathways to address these challenges across scale can come to light.

4 Discussion

This review focused on how equity was studied across the FEWS nexus with an emphasis on opportunities for future research and improved governance. We found differences between the systems and the scale at which they were studied that have implications for decision-making and policy development. Furthermore, the strong connections to sustainable development concepts and major emphasis on climate change offers insights into how social elements of risk and vulnerability can be incorporated into future FEWS resource planning. However, many of the studies we reviewed lack comprehensive integration between respective FEW systems, which limits understanding of how system intersections affect social equity. Additionally, the FEWS lens can obscure the complexities of respective systems in favor of broad-scale resource planning and allocation. This deficit leaves opportunities for future research to understand methods for the holistic inclusion of equity within the FEWS framework. While the approach taken in this review is not an exhaustive study of social equity, our findings can help to inform a more comprehensive understanding of social equity in the context of FEWS governance and address current research gaps.

4.1 Decision-making and policy implications

Although the articles we reviewed covered a wide range of topics and drew ideas from around the world, the FEWS nexus also spans many intersecting scales (geographic, temporal, political, institutional). This breadth presents a unique challenge for analyzing or improving FEWS, as implications or negative impacts often do not correspond to political or geographic boundaries (e.g., hypoxia, acid rain). In the United States, there are critical federal funds and policies implemented nationwide to address environmental challenges across local and state boundaries (Farm Bill, Clean Energy for America Act, and the Clean Water Act). However, most food, energy and water systems are administered at smaller decision-making scales, such as at the city scale for urban spaces (Newell et al., 2019).

Many countries included in this assessment have a free-market food system (private companies/entities distributing food to consumers). In contrast, water and electricity distributed to consumers are generally government-owned or regulated utility companies that are, in some cases, obligated to provide information to government agencies and researchers (e.g., United States EPA Safe Drinking Water Information System, Residential Energy Consumption Survey). These differences in distribution channels have unique social equity implications. For example, consumers may be able to travel to obtain food from several nearby grocery stores based on cost, personal choice, and convenience, whereas many consumers do not have choices about sources or quality of energy or water in a given location. Energy markets from sustainable sources (wind or solar) are becoming more common across the United States but are not the norm for most households (Alola and Yildirim, 2019). Unlike food availability, both energy source options and water quality are usually tied to housing locations.

Context-specific (place-based) studies are of particular value and can inform sound decision-making across FEWS (White et al., 2017). Framing FEWS equity findings in terms of governance is a pathway toward practical analyses (Newell and Ramaswami, 2020). Food systems were the only focus area where an evaluation of city plans or self-assessments from food policy councils were used as proxies to assess the food system without validation to confirm their impacts (Calancie et al., 2018; Mui et al., 2020). Relying on plans and self-assessments can also be problematic because many city plans and pledges are voluntary (MUFPP, 2015). Yet, the interactions between FEWS resource planning and policy are also consequential for equity planning in these sectors (White et al., 2017). Linking sustainable FEWS development to research informed by local stakeholders is vital to finding solutions that hold up under realistic conditions (D’Odorico et al., 2018). These findings highlight the likelihood of increased inequity across FEWS without substantial social investments in infrastructure, welfare, and new technologies.

4.2 FEWS equity connection to sustainable development

Many of the FEWS studies we assessed expressed their equity analyses within the broader construct of sustainable development (e.g., Kim et al., 2018; Zurek et al., 2018; Smaal et al., 2020). Sustainable development has been defined as “development that meets the needs of the present without compromising the ability of future generations to meet their own needs” (Brundtland, 1987). The 2030 Agenda for Sustainable Development created sustainable development goals (SDGs) and provided a framework in which FEWS goals (zero hunger, affordable and clean energy, and clean water and sanitation systems) can be tracked together with equity goals (reduced poverty, good health and wellbeing, reduced inequalities, sustainable cities and communities, and climate action) (United Nations, 2020). This agenda was often used to assess FEWS, such as in the index developed by Schlör et al. (2018), which offers novel insights into equity synergies and tradeoffs.

The stated purpose of the FEWS nexus, according to one review, was to inform decision-making for sustainable population and economic growth (Kaddoura and El Khatib, 2017). All FEWS studies are directly or indirectly connected to sustainability principles (Sodiq et al., 2019). However, for this approach to be an effective tool for sustainable development or poverty alleviation, research should be conducted within an environmental justice framework and explicitly identify winners and losers (Biggs et al., 2015). Combining the triple-bottom-line approach to incorporate environmental, economic, and social goals with the U.N. Sustainable Development Goals (SDG) framework could offer a way to merge biophysical systems with human wellbeing (White et al., 2017; Proctor et al., 2021). For example, the New Urban Agenda set targets for SDG 11 (focused on urban development) and could support development of these integrated policies (Romero-Lankao and Gnatz, 2019). Sustainable development in FEWS must integrate these three vital resource systems and relevant science, technology, environmental, and socioeconomic systems (Sodiq et al., 2019). For effective decision-making, diverse (by knowledge, experience, and values) stakeholders should be involved in the governance of these systems to mitigate risks (Dobbie et al., 2018). Without equity and other vital social dimensions, the FEWS framework would not be an effective tool for sustainable development.

4.3 FEWS equity in a changing climate

More than a fifth of the papers reviewed (n = 11) explicitly focused on the effects of climate change on FEWS resources. Most of these papers discussed the intersection of emissions goals and social equity (e.g., Rozenberg et al., 2014; Bartiaux et al., 2018; Tomás et al., 2020). For example, Chakravarty and Tavoni (2013) found that global energy poverty could be reduced substantially without impairing climate goals via targeted policy initiatives. Global energy use produces significant greenhouse gas emissions, thereby accelerating climate change and impacting precipitation and temperature (IPCC, 2018). Although energy conversion is directly connected to climate change, food and water provisioning systems are also highly energy intensive. In the United States, food systems account for 14%–19% of total energy use (Canning et al., 2017). Furthermore, water supply efforts under changing weather regimes can lead to increased emissions and uneven social impacts, as shown in a 2012 case study of a proposed binational desalination plant near the United States and Mexico border (McEvoy and Wilder, 2012). These interactions across the FEWS nexus cumulatively increase climate change impacts more than individual systems do.

The FEWS lens has been discussed as a potential method for viewing challenges in a changing climate (Proctor et al., 2021). However, to be sustainable, approaches must account for increased social vulnerability and inequity due to unequal climate risk and the ability to mitigate environmental hazards (Romero-Lankao and Gnatz, 2019; Sasse and Trutnevyte, 2019). Shared socioeconomic pathways have been developed to connect biophysical systems to sociopolitical decisions to show how both shape future climate change impacts (Riahi et al., 2017). The degree to which an individual or community is vulnerable to risks associated with climate change depends on their capacity to adapt to changing conditions, with notable disparities observed based on race/ethnicity and socioeconomic status (English et al., 2013). For example, in the United States, individuals who identify as People of Color often have increased vulnerability to climate change, especially those who identify as Black or African American (EPA, 2021). Although social impacts are unequal, mitigating climate change through effective FEWS management is not charity; it invests in our shared future (Robinson and Shine, 2018).

Even as calls for urban ecological modernization encourage approaches that equally weigh social equity, green living environments, and job creation, equity considerations are not often treated as an equal concern (Sodiq et al., 2019). For example, despite widely accepted social vulnerability literature that connects social inequalities to increased climate risk and vulnerability, social equity is seldom part of climate change adaptation plans (Romero-Lankao and Gnatz, 2019). The FEWS nexus research we reviewed lacks explanations of interactions between these FEWS components, despite their inextricable links across scales (Endo et al., 2017). Some cities choose to confront less complex challenges than social equity to avoid plans that conflict with economic and climate change mitigating priorities, disregarding the potential for mutually beneficial synergies (Romero-Lankao and Gnatz, 2019).

4.4 Research gaps and future directions

Although we searched for articles focused on the FEWS nexus, these made up a relatively small proportion (n = 6) of all articles compared to those in which each system was studied individually, showing a lack of integration across FEWS at this time. Further, many articles (n = 16) initially collected referenced equity as a vital FEWS issue but had to be excluded from our review because they did not incorporate an analysis of equity. The lack of comprehensive FEWS studies incorporating equity leaves a large gap in understanding the effect of interactions between the systems and appropriate methods of study. Future research could focus on case studies of FEWS at varying scales emphasizing how reciprocal feedback impacts social equity outcomes.

While food system studies comprised the largest group of articles assessed in this literature review, many studies did not incorporate critical social and economic dimensions of food insecurity (Ong et al., 2021). Rather, they relied on spatial proximity data such as distance to grocery stores or community gardens as a measure of food system equity, despite evidence that food deserts do not capture sociocultural barriers to food access or preference in the United States (Sullivan, 2014; Usher, 2015). The use of proximity data could be due to the lack of robust and publicly-available food system data at functional scales in the United States, which may be a factor in the relatively large number of qualitative studies. A challenge in collecting food system data is that distribution channels are unlike energy and water systems where resources are often supplied to households via a publicly owned utility compelled to publish data. Future research to develop transparent and publicly-accessible United States food system datasets across scales would facilitate more robust analyses and better inform FEWS governance.

Within energy systems, there were few studies of the association between proximity to fuel refineries or energy conversion facilities and associated health concerns due to contaminated air or water. Marginalized communities historically have had lower political capital, leaving them unable to prevent the construction of refineries or power plants in their neighborhoods (Kaswan, 2009). Moreover, a lack of financial capital to move away from sources of harmful pollutants results in individuals within these communities experiencing intergenerational impacts of chronic exposure (Hajat et al., 2015; O’Brien et al., 2018). Also missing were studies focused on equity concerns centered around “green energy” conversion technologies, such as wind turbines and electric cars, which require rare earth elements. Mining rare earth elements can produce toxic and radioactive mine tailings that contaminate surface and groundwater (Filho, 2016). Finally, an additional crucial element related to equity and energy is the generation of nuclear power and the associated risks to communities near the reactors or their waste products (Kyne and Bolin, 2016). Future research to address these concerns may investigate whether the FEWS framework can be applied to find solutions that meet increasing energy demands while preventing exposures to toxic byproducts from energy facilities.

Elements of water system equity missing from the reviewed publications were related to water quality, flooding, and the impact of agricultural production on water resources. For example, the catastrophic lead exposure in Flint, MI reflects a widespread problem of environmental injustice that minority and marginalized communities face in obtaining clean drinking water that was not represented in the FEWS studies we reviewed (Wright et al., 2003; Flint Water Advisory Task Force, 2016; Sampson and Winter 2016). Flood risk and recovery were missing from the studies we reviewed but can also inequitably affect certain communities, such as United States Hispanic populations in or near 100-year flood zones (Maldonado et al., 2016), who also experience reduced monetary compensation for homes lost to catastrophic flooding (Muñoz and Tate, 2016). Additionally, our review lacked analyses that directly addressed the linkage between water quality and food systems—such as contamination of water supplies by farm chemicals. In the United States surface waters were found to be contaminated with pesticides in up to 10% of tested samples (Gilliom et al., 2006), and similar studies in Denmark found widespread contamination from herbicides and insecticides with concentrations up to twice the allowable amount in all sampled locations (McKnight et al., 2015). These gaps may be addressed by connecting the well-established field of environmental justice to the FEWS framework, which could provide many established methods and analysis tools for considering equity.

5 Conclusion

Social equity in FEWS was integrated into studies through affordability, access, and sociocultural elements. This framework could help researchers and practitioners consider which method of equity integration best suits their FEWS analysis based on study objectives, data availability, and scale. Additionally, we found a lack of tools for context-specific, integrated analyses of how the FEWS nexus intersects with social equity. However, implementation of local FEWS planning and governance provides a practical application for the nexus concept that can identify and address equity issues. Further exploration of equity issues identified as gaps in this review, along with additional validation of methods to assess equity in FEWS using a variety of data types (quantitative and qualitative), are important next steps. An analysis to understand FEWS equity issues in countries with lower HDI values would also be of great value to effectively incorporate equity into FEWS analyses worldwide.

Ultimately, climate change is projected to increase risks for vulnerable populations due to scarcity of FEWS resources and greater environmental hazards caused by changing weather patterns. Climate change impacts are connected to social equity and can reduce sustainable development at all scales because resource-poor individuals, communities, and countries will not have equal or sufficient capacity to adapt. Further exploration of FEWS governance, policy options, and social investments are necessary to reduce FEWS poverty and increase social equity given a changing climate.

Author contributions

TS, LD, and HS contributed to conception and design of the study and completed all aspects of analysis for the systematic literature review. TS wrote the first draft of the manuscript, while LD and HS wrote sections of the manuscript. TS, LD, and HS created tables and figures. All authors contributed to manuscript revision and approved the submitted version.

Funding

This material is based upon work supported by the National Science Foundation under Grant No. DGE-1828942.

Acknowledgments

The authors thank Amy Kaleita and the data services librarian Megan O’Donnell for their guidance in developing this literature review. Additionally, the authors appreciate support from the DataFEWSion Graduate Traineeship at Iowa State University and thank Anna Rowzee for assistance with the review process.

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2023.1028306/full#supplementary-material

References

Albrecht, T. R., Crootof, A., and Scott, C. A. (2018). The water-energy-food nexus: A systematic review of methods for nexus assessment open access the water-energy-food nexus: A systematic review of methods for nexus assessment. Environ. Res. Lett. 13, 043002. doi:10.1088/1748-9326/aaa9c6

CrossRef Full Text | Google Scholar

Allen, P. (2010). Realizing justice in local food systems. Camb. J. Reg. Econ. Soc. 3, 295–308. doi:10.1093/cjres/rsq015

CrossRef Full Text | Google Scholar

Alola, A. A., and Yildirim, H. (2019). The renewable energy consumption by sectors and household income growth in the United States. Int. J. Green Energy 16, 1414–1421. doi:10.1080/15435075.2019.1671414

CrossRef Full Text | Google Scholar

Amador-Jimenez, L., and Willis, C. J. (2012). Demonstrating a correlation between infrastructure and national development. Int. J. Sustain. Dev. World Ecol. 19, 197–202. doi:10.1080/13504509.2011.644639

CrossRef Full Text | Google Scholar

Azuma, A. M., Gilliland, S., Vallianatos, M., and Gottlieb, R. (2010). Food access, availability, and affordability in 3 los angeles communities, Project CAFE, 2004-2006. Prev. Chronic Dis. 7 (2), A27. https://stacks.cdc.gov/view/cdc/20436

PubMed Abstract | Google Scholar

Bahadur, S. J. (2014). Access to infrastructure and human development: Cross-country evidence. Working Papers. JICA Research Institute. doi:10.18884/00000673

CrossRef Full Text | Google Scholar

Balazs, C. L., Morello-Frosch, R., Hubbard, A. E., and Ray, I. (2012). Environmental justice implications of arsenic contamination in California’s san joaquin valley: A cross-sectional, cluster-design examining exposure and compliance in community drinking water systems. Environ. Heal. 11, 84. doi:10.1186/1476-069X-11-84

CrossRef Full Text | Google Scholar

Balazs, C., Morello-Frosch, R., Hubbard, A., and Ray, I. (2011). Social disparities in nitrate-contaminated drinking water in California’s San Joaquin Valley. Environ. Health Perspect. 119, 1272–1278. doi:10.1289/ehp.1002878

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartiaux, F., Vandeschrick, C., Moezzi, M., and Frogneux, N. (2018). Energy justice, unequal access to affordable warmth, and capability deprivation: A quantitative analysis for Belgium. Appl. Energy 225, 1219–1233. doi:10.1016/j.apenergy.2018.04.113

CrossRef Full Text | Google Scholar

Biggs, E. M., Bruce, E., Boruff, B., Duncan, J. M. A., Horsley, J., Pauli, N., et al. (2015). Sustainable development and the water-energy-food nexus: A perspective on livelihoods. Environ. Sci. Policy 54, 389–397. doi:10.1016/j.envsci.2015.08.002

CrossRef Full Text | Google Scholar

Bijl, D. L., Bogaart, P. W., Dekker, S. C., and van Vuuren, D. P. (2018). Unpacking the nexus: Different spatial scales for water, food and energy. Glob. Environ. Chang. 48, 22–31. doi:10.1016/j.gloenvcha.2017.11.005

CrossRef Full Text | Google Scholar

Boyer, D., and Ramaswami, A. (2020). Comparing urban food system characteristics and actions in US and Indian cities from a multi-environmental impact perspective: Toward a streamlined approach. J. Ind. Ecol. 24, 841–854. doi:10.1111/jiec.12985

CrossRef Full Text | Google Scholar

Bozeman, J. F., Ashton, W. S., and Theis, T. L. (2019). Distinguishing environmental impacts of household food-spending patterns among U.S. Demographic groups. Environ. Eng. Sci. 36, 763–777. doi:10.1089/ees.2018.0433

CrossRef Full Text | Google Scholar

Brundtland, G. H. (1987). Our common future - call for action. Environ. Conserv. 14, 291–294. doi:10.1017/s0376892900016805

CrossRef Full Text | Google Scholar

Burbidge, M. K., and Adams, C. A. (2020). An assessment of social and environmental impacts of a new shale gas industry in the Vale of Pickering, North Yorkshire. Local Environ. 25, 492–511. doi:10.1080/13549839.2020.1786807

CrossRef Full Text | Google Scholar

Butterfield, K. L. (2020). Neighborhood composition and community garden locations: The effect of ethnicity, income, and education. Sociol. Perspect. 63, 738–763. doi:10.1177/0731121420908902

CrossRef Full Text | Google Scholar

Cairns, R., and Krzywoszynska, A. (2016). Anatomy of a buzzword: The emergence of ‘the water-energy-food nexus’ in UK natural resource debates. Environ. Sci. Policy 64, 164–170. doi:10.1016/j.envsci.2016.07.007

CrossRef Full Text | Google Scholar

Calancie, L., Cooksey-Stowers, K., Palmer, A., Frost, N., Calhoun, H., Piner, A., et al. (2018). Toward a community impact assessment for food policy councils: Identifying potential impact domains. J. Agric. Food Syst. Community Dev. 1, 1–14. doi:10.5304/jafscd.2018.083.001

CrossRef Full Text | Google Scholar

Canning, P., Rehkamp, S., Waters, A., and Etemadnia, H. (2017). The role of fossil fuels in the U.S. food system and the American diet. U. S. Dep. Agric. Econ. Res. Serv.

Google Scholar

Chakravarty, S., and Tavoni, M. (2013). Energy poverty alleviation and climate change mitigation: Is there a trade off? Energy Econ. 40, S67–S73. doi:10.1016/j.eneco.2013.09.022

CrossRef Full Text | Google Scholar

Cordell, D., and White, S. (2015). Tracking phosphorus security: Indicators of phosphorus vulnerability in the global food system. Food secur. 7, 337–350. doi:10.1007/s12571-015-0442-0

CrossRef Full Text | Google Scholar

Cory, D. C., and Taylor, L. D. (2017). On the distributional implications of safe drinking water standards. J. Benefit-Cost Anal. 8, 49–90. doi:10.1017/bca.2017.2

CrossRef Full Text | Google Scholar

Dean, W. R., and Sharkey, J. R. (2011). Food insecurity, social capital and perceived personal disparity in a predominantly rural region of Texas: An individual-level analysis. Soc. Sci. Med. 72, 1454–1462. doi:10.1016/j.socscimed.2011.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Delpla, I., Benmarhnia, T., Lebel, A., Levallois, P., and Rodriguez, M. J. (2015). Investigating social inequalities in exposure to drinking water contaminants in rural areas. Environ. Pollut. 207, 88–96. doi:10.1016/j.envpol.2015.08.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Dobbie, S., Schreckenberg, K., Dyke, J. G., Schaafsma, M., and Balbi, S. (2018). Agent-based modelling to assess community food security and sustainable livelihoods. Jasss 21, 3639. doi:10.18564/jasss.3639

CrossRef Full Text | Google Scholar

D’Odorico, P., Davis, K. F., Rosa, L., Carr, J. A., Chiarelli, D., Dell’Angelo, J., et al. (2018). The global food-energy-water nexus. Rev. Geophys. 56, 456–531. doi:10.1029/2017RG000591

CrossRef Full Text | Google Scholar

Duro, J. A., Lauk, C., Kastner, T., Erb, K. H., and Haberl, H. (2020). Global inequalities in food consumption, cropland demand and land-use efficiency: A decomposition analysis. Glob. Environ. Chang. 64, 102124. doi:10.1016/j.gloenvcha.2020.102124

CrossRef Full Text | Google Scholar

Duro, J. A., and Padilla, E. (2006). International inequalities in per capita CO2 emissions: A decomposition methodology by kaya factors. Energy Econ. 28, 170–187. doi:10.1016/j.eneco.2005.12.004

CrossRef Full Text | Google Scholar

Endo, A., Tsurita, I., Burnett, K., and Orencio, P. M. (2017). A review of the current state of research on the water, energy, and food nexus. J. Hydrol. Reg. Stud. 11, 20–30. doi:10.1016/j.ejrh.2015.11.010

CrossRef Full Text | Google Scholar

English, P., Richardson, M., Morello-frosh, R., Pastor, M., Sadd, J., King, G., et al. (2013). Racial and income disparities in relation to a proposed climate change vulnerability screening method for California. Int. J. Clim. Chang. Impacts Responses 4, 37156. doi:10.18848/1835-7156/cgp/v04i02/37156

CrossRef Full Text | Google Scholar

EPA (2021). Climate change and social vulnerability in the United States: A focus on six impacts. USA: U.S. Environ. Prot. Agency. Available at: http://www.epa.gov/cira/social-vulnerability-report.

Google Scholar

FAO (2014). The water-energy-food nexus: A new approach in support of food security and sustainable agriculture. Rome, Italy: FAO.

Google Scholar

Filho, W. (2016). An analysis of the environmental impacts of the exploitation of rare Earth metals. Rare Earths Industry, 269–277. doi:10.1016/B978-0-12-802328-0.00017-6

CrossRef Full Text | Google Scholar

Fleming, A., Jakku, E., Lim-Camacho, L., Taylor, B., and Thorburn, P. (2018). Is big data for big farming or for everyone? Perceptions in the Australian grains industry. Agron. Sustain. Dev. 38, 24. doi:10.1007/s13593-018-0501-y

CrossRef Full Text | Google Scholar

Flint Water Advisory Task Force (2016). Flint water task force final report. Lansing, Michigan, USA: FWATF.

Google Scholar

Freedman, D. A., Blake, C. E., and Liese, A. D. (2013). Developing a multicomponent model of nutritious food access and related implications for community and policy practice. J. Community Pract. 21, 379–409. doi:10.1080/10705422.2013.842197

PubMed Abstract | CrossRef Full Text | Google Scholar

Freudenberg, N., Willingham, C., and Cohen, N. (2018). The role of metrics in food policy: Lessons from a decade of experience in New York City. J. Agric. Food Syst. Community Dev. 8, 191–209. doi:10.5304/jafscd.2018.08b.009

CrossRef Full Text | Google Scholar

Garcia, D. J., and You, F. (2016). The water-energy-food nexus and process systems engineering: A new focus. Comput. Chem. Eng. 91, 49–67. doi:10.1016/j.compchemeng.2016.03.003

CrossRef Full Text | Google Scholar

Garcia, X., Garcia-Sierra, M., and Domene, E. (2020). Spatial inequality and its relationship with local food environments: The case of Barcelona. Appl. Geogr. 115, 102140. doi:10.1016/j.apgeog.2019.102140

CrossRef Full Text | Google Scholar

Gilliom, R. J., Barbash, J. E., Crawford, C. G., Hamilton, P. A., Martin, J. D., Nakagaki, N., et al. (2006). Pesticides in the nation’s streams and ground water, 1992–2001. Reston, Virginia, USA: USGS. doi:10.3133/cir1291

CrossRef Full Text | Google Scholar

Goddard, J. J., Ray, I., and Balazs, C. (2021). Water affordability and human right to water implications in California. PLoS One 16, e0245237. doi:10.1371/journal.pone.0245237

PubMed Abstract | CrossRef Full Text | Google Scholar

Gullotta, A., Butler, D., Campisano, A., Creaco, E., Farmani, R., and Modica, C. (2021). Optimal location of valves to improve equity in intermittent water distribution systems. J. Water Resour. Plan. Manag. 147, 04021016. doi:10.1061/(ASCE)WR.1943-5452.0001370

CrossRef Full Text | Google Scholar

Guo, A., Jiang, D., Zhong, F., Ding, X., Song, X., Cheng, Q., et al. (2019). Prediction of technological change under shared socioeconomic pathways and regional differences: A case study of irrigation water use efficiency changes in Chinese provinces. Sustain 11, 7103. doi:10.3390/su11247103

CrossRef Full Text | Google Scholar

Hajat, A., Hsia, C., and O’Neill, M. S. (2015). Socioeconomic disparities and air pollution exposure: A global review. Curr. Environ. Heal. Rep. 2, 440–450. doi:10.1007/s40572-015-0069-5

CrossRef Full Text | Google Scholar

Herrera, H., Khanna, N., and Davis, L. (2009). Food systems and public health: The community perspective. J. Hunger Environ. Nutr. 4, 430–445. doi:10.1080/19320240903347446

PubMed Abstract | CrossRef Full Text | Google Scholar

Hinrichs, C. C. (2014). Transitions to sustainability: A change in thinking about food systems change? Agric. Hum. Values 31, 143–155. doi:10.1007/s10460-014-9479-5

CrossRef Full Text | Google Scholar

Hossain, M. B., Long, M. A., and Stretesky, P. B. (2021). Welfare state spending, income inequality and food insecurity in affluent nations: A cross-national examination of oecd countries. Sustain 13, 324–415. doi:10.3390/su13010324

CrossRef Full Text | Google Scholar

Jacobson, A., Milman, A. D., and Kammen, D. M. (2005). Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity. Energy Policy 33, 1825–1832. doi:10.1016/j.enpol.2004.02.017

CrossRef Full Text | Google Scholar

James, S. W., and Friel, S. (2015). An integrated approach to identifying and characterising resilient urban food systems to promote population health in a changing climate. Public Health Nutr. 18, 2498–2508. doi:10.1017/S1368980015000610

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaddoura, S., and El Khatib, S. (2017). Review of water-energy-food Nexus tools to improve the Nexus modelling approach for integrated policy making. Environ. Sci. Policy 77, 114–121. doi:10.1016/j.envsci.2017.07.007

CrossRef Full Text | Google Scholar

Kaswan, A. (2009). Greening the grid and climate justice. Environ. Law 39 (4), 1143–1160. Available at: http://www.jstor.org/stable/43267339

Google Scholar

Kim, S. A., and Blanck, H. M. (2011). State legislative efforts to support fruit and vegetable access, affordability, and availability, 2001 to 2009: A systematic examination of policies. J. Hunger Environ. Nutr. 6, 99–113. doi:10.1080/19320248.2011.554262

CrossRef Full Text | Google Scholar

Kim, S., Devineni, N., Lall, U., and Kim, H. S. (2018). Sustainable development of water resources: Spatio-temporal analysis ofwater stress in South Korea. Sustain 10, 3795. doi:10.3390/su10103795

CrossRef Full Text | Google Scholar

Krueger, E., Rao, P. S. C., and Borchardt, D. (2019). Quantifying urban water supply security under global change. Glob. Environ. Chang. 56, 66–74. doi:10.1016/j.gloenvcha.2019.03.009

CrossRef Full Text | Google Scholar

Kusharjanto, H., and Kim, D. (2011). Infrastructure and human development: The case of java, Indonesia. J. Asia Pac. Econ. 16, 111–124. doi:10.1080/13547860.2011.539407

CrossRef Full Text | Google Scholar

Kyne, D., and Bolin, B. (2016). Emerging environmental justice issues in nuclear power and radioactive contamination. Int. J. Environ. Res. Public Health 13, 700. doi:10.3390/ijerph13070700

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S. H., Taniguchi, M., Masuhara, N., Mohtar, R. H., Yoo, S. H., and Haraguchi, M. (2021). Analysis of industrial water–energy–labor nexus zones for economic and resource-based impact assessment. Resour. Conserv. Recycl. 169, 105483. doi:10.1016/j.resconrec.2021.105483

CrossRef Full Text | Google Scholar

Liu, Y., Poulová, P., Pražák, P., Ullah, F., and Nathaniel, S. P. (2023). Infrastructure development, human development index, and CO2 emissions in China: A quantile regression approach. Front. Environ. Sci. 11, 1114977. doi:10.3389/fenvs.2023.1114977

CrossRef Full Text | Google Scholar

Lowery, B., Sloane, D., Payán, D., Illum, J., and Lewis, L. (2016). Do farmers’ markets increase access to healthy foods for all communities? Comparing markets in 24 neighborhoods in los angeles. J. Am. Plan. Assoc. 82, 252–266. doi:10.1080/01944363.2016.1181000

CrossRef Full Text | Google Scholar

Maldonado, A., Collins, T. W., Grineski, S. E., and Chakraborty, J. (2016). Exposure to flood hazards in Miami and Houston: Are Hispanic immigrants at greater risk than other social groups. Int. J. Environ. Res. Public Health 13, 775. doi:10.3390/ijerph13080775

PubMed Abstract | CrossRef Full Text | Google Scholar

Mariano, D. C. B., Leite, C., Santos, L. H. S., Rocha, R. E. O., and de Melo-Minardi, R. C. (2017). A guide to performing systematic literature reviews in bioinformatics. Available at: http://arxiv.org/abs/1707.05813.

Google Scholar

McCauley, L. A., Lasarev, M. R., Higgins, G., Rothlein, J., Muniz, J., Ebbert, C., et al. (2001). Work characteristics and pesticide exposures among migrant agricultural families: A community-based research approach. Available at: https://www.jstor.org/stable/3454714%0AJSTOR.

CrossRef Full Text | Google Scholar

McClintock, N., Mahmoudi, D., Simpson, M., and Santos, J. P. (2016). Socio-spatial differentiation in the sustainable city: A mixed-methods assessment of residential gardens in metropolitan portland, Oregon, USA. Landsc. Urban Plan. 148, 1–16. doi:10.1016/j.landurbplan.2015.12.008

CrossRef Full Text | Google Scholar

McEvoy, J., and Wilder, M. (2012). Discourse and desalination: Potential impacts of proposed climate change adaptation interventions in the Arizona-Sonora border region. Glob. Environ. Chang. 22, 353–363. doi:10.1016/j.gloenvcha.2011.11.001

CrossRef Full Text | Google Scholar

McKnight, U. S., Rasmussen, J. J., Kronvang, B., Binning, P. J., and Bjerg, P. L. (2015). Sources, occurrence and predicted aquatic impact of legacy and contemporary pesticides in streams. Environ. Pollut. 200, 64–76. doi:10.1016/j.envpol.2015.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Meehan, K., Jurjevich, J. R., Chun, N. M. J. W., and Sherrill, J. (2020). Geographies of insecure water access and the housing–water nexus in US cities. Proc. Natl. Acad. Sci. U. S. A. 117, 28700–28707. doi:10.1073/pnas.2007361117

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohanty, A. K., Nayak, N. C., and Chatterjee, B. (2016). Does infrastructure affect human development? Evidences from odisha, India. J. Infrastruct. Dev. 8, 1–26. doi:10.1177/0974930616640086

CrossRef Full Text | Google Scholar

MUFPP (2015). Milan urban food policy pact and framework for action Milan Urban Food Policy Pact. Available at: http://www.milanurbanfoodpolicypact.org/wp-content/uploads/2016/06/Milan-Urban-Food-Policy-Pact-EN.pdf.

Google Scholar

Mui, Y., Khojasteh, M., Judelsohn, A., Sirwatka, A., Kelly, S., Gooch, P., et al. (2020). Planning for regional food equity. J. Am. Plan. Assoc. 87, 354–369. doi:10.1080/01944363.2020.1845781

CrossRef Full Text | Google Scholar

Mullin, K., Mitchell, G., Nawaz, N. R., and Waters, R. D. (2018). Natural capital and the poor in England: Towards an environmental justice analysis of ecosystem services in a high income country. Landsc. Urban Plan. 176, 10–21. doi:10.1016/j.landurbplan.2018.03.022

CrossRef Full Text | Google Scholar

Muñoz, C. E., and Tate, E. (2016). Unequal recovery? Federal resource distribution after a midwest flood disaster. Int J Environ Res Public Health 13, 507. doi:10.3390/ijerph13050507

PubMed Abstract | CrossRef Full Text | Google Scholar

Murrell, A., and Jones, R. (2020). Measuring food insecurity using the food abundance index: Implications for economic, health and social well-being. Int. J. Environ. Res. Public Health 17, 2434. doi:10.3390/ijerph17072434

PubMed Abstract | CrossRef Full Text | Google Scholar

Newell, J. P., Goldstein, B., and Foster, A. (2019). A 40-year review of food-energy-water nexus literature and its application to the urban scale. Environ. Res. Lett. 14, 073003. doi:10.1088/1748-9326/ab0767

CrossRef Full Text | Google Scholar

Newell, J. P., and Ramaswami, A. (2020). Urban food-energy-water systems: Past, current, and future research trajectories. Environ. Res. Lett. 15, 050201. doi:10.1088/1748-9326/ab7419

CrossRef Full Text | Google Scholar

O’Brien, R. L., Neman, T., Rudolph, K., Casey, J., and Venkataramani, A. (2018). Prenatal exposure to air pollution and intergenerational economic mobility: Evidence from U.S. county birth cohorts. Soc. Sci. Med. 217, 92–96. doi:10.1016/j.socscimed.2018.09.056

PubMed Abstract | CrossRef Full Text | Google Scholar

Ong, V., Skinner, K., and Minaker, L. M. (2021). Life stories of food agency, health, and resilience in a rapidly gentrifying urban centre: Building a multidimensional concept of food access. Soc. Sci. Med. 280, 114074. doi:10.1016/j.socscimed.2021.114074

PubMed Abstract | CrossRef Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ n71, n71. doi:10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text | Google Scholar

Pahl-Wostl, C., Gorris, P., Jager, N., Koch, L., Lebel, L., Stein, C., et al. (2021). Scale-related governance challenges in the water–energy–food nexus: Toward a diagnostic approach. Sustain. Sci. 16, 615–629. doi:10.1007/s11625-020-00888-6

CrossRef Full Text | Google Scholar

Pivo, G. (2014). Unequal access to energy efficiency in US multifamily rental housing: Opportunities to improve. Build. Res. Inf. 42, 551–573. doi:10.1080/09613218.2014.905395

CrossRef Full Text | Google Scholar

Proctor, K., Tabatabaie, S. M. H., and Murthy, G. S. (2021). Gateway to the perspectives of the food-energy-water nexus. Sci. Total Environ. 764, 142852. doi:10.1016/j.scitotenv.2020.142852

PubMed Abstract | CrossRef Full Text | Google Scholar

Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., et al. (2017). The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Glob. Environ. Chang. 42, 153–168. doi:10.1016/j.gloenvcha.2016.05.009

CrossRef Full Text | Google Scholar

Robinson, M., and Shine, T. (2018). Achieving a climate justice pathway to 1.5 °c. Nat. Clim. Chang. 8, 564–569. doi:10.1038/s41558-018-0189-7

CrossRef Full Text | Google Scholar

Romero-Lankao, P., and Gnatz, D. (2019). Risk inequality and the food-energy-water (few) nexus: A study of 43 city adaptation plans. Front. Sociol. 4, 31–14. doi:10.3389/fsoc.2019.00031

PubMed Abstract | CrossRef Full Text | Google Scholar

Rozenberg, J., Guivarch, C., Lempert, R., and Hallegatte, S. (2014). Building SSPs for climate policy analysis: A scenario elicitation methodology to map the space of possible future challenges to mitigation and adaptation. Clim. Change 122, 509–522. doi:10.1007/s10584-013-0904-3

CrossRef Full Text | Google Scholar

Sampson, R. J., and Winter, A. S. (2016). The racial ecology of lead poisoning. Du. Bois Rev. Soc. Sci. Res. Race 13, 261–283. doi:10.1017/S1742058X16000151

CrossRef Full Text | Google Scholar

Sasse, J. P., and Trutnevyte, E. (2019). Distributional trade-offs between regionally equitable and cost-efficient allocation of renewable electricity generation. Appl. Energy 254, 113724. doi:10.1016/j.apenergy.2019.113724

CrossRef Full Text | Google Scholar

Schaider, L. A., Swetschinski, L., Campbell, C., and Rudel, R. A. (2019). Environmental justice and drinking water quality: Are there socioeconomic disparities in nitrate levels in U.S. drinking water? Environ. Heal. A Glob. Access Sci. Source 18, 3–15. doi:10.1186/s12940-018-0442-6

CrossRef Full Text | Google Scholar

Schlör, H., Venghaus, S., and Hake, J. F. (2018). The FEW-Nexus city index – measuring urban resilience. Appl. Energy 210, 382–392. doi:10.1016/j.apenergy.2017.02.026

CrossRef Full Text | Google Scholar

Simonovic, S. P. (2001). “Measures of sustainability and their utilization in practical water management planning,” in Regional management of water resources (London, Ontario: IAHS-AISH Publication), 3–16.

Google Scholar

Smaal, S. A. L., Dessein, J., Wind, B. J., and Rogge, E. (2020). Social justice-oriented narratives in European urban food strategies: Bringing forward redistribution, recognition and representation. Agric. Hum. Values 38, 709–727. doi:10.1007/s10460-020-10179-6

CrossRef Full Text | Google Scholar

Sodiq, A., Baloch, A. A. B., Khan, S. A., Sezer, N., Mahmoud, S., Jama, M., et al. (2019). Towards modern sustainable cities: Review of sustainability principles and trends. J. Clean. Prod. 227, 972–1001. doi:10.1016/j.jclepro.2019.04.106

CrossRef Full Text | Google Scholar

Srigiri, S. R., and Dombrowsky, I. (2022). Analysing the water-energy-food nexus from a polycentric governance perspective: Conceptual and methodological framework. Front. Environ. Sci. 10, 1–13. doi:10.3389/fenvs.2022.725116

CrossRef Full Text | Google Scholar

Sullivan, D. M. (2014). From food desert to food mirage: Race, social class, and food shopping in a gentrifying neighborhood. Adv. Appl. Sociol. 04, 30–35. doi:10.4236/aasoci.2014.41006

CrossRef Full Text | Google Scholar

Talley, T. S., Warde, H., and Venuti, N. (2016). Local seafood availability in San Diego, California seafood markets. Futur. Food J. Food, Agric. Soc. 4 (2), 40–49.

Google Scholar

Tole, L. (2004). A quantitative investigation of the population-land inequality-land clearance nexus. Popul. Environ. 26, 75–106. doi:10.1007/s11111-004-0836-y

CrossRef Full Text | Google Scholar

Tomás, M., López, L. A., and Monsalve, F. (2020). Carbon footprint, municipality size and rurality in Spain: Inequality and carbon taxation. J. Clean. Prod. 266, 121798. doi:10.1016/j.jclepro.2020.121798

CrossRef Full Text | Google Scholar

Tye, M. R., Wilhelmi, O. V., Pierce, A. L., Sharma, S., Nichersu, I., Wróblewski, M., et al. (2022). The food water energy nexus in an urban context: Connecting theory and practice for nexus governance. Earth Syst. Gov. 12, 100143. doi:10.1016/j.esg.2022.100143

CrossRef Full Text | Google Scholar

UNDP (2020). The next frontier: Human development and the Anthropocene. New York, NY, USA: UNDP.

Google Scholar

United Nations (2020). Sustainable development goals united nationsl dep. Econ. Soc. Aff. Sustain. Dev. Available at: https://sdgs.un.org/goals (Accessed March 8, 2021).

Google Scholar

Usher, K. (2015). Valuing all knowledges through an expanded definition of access. J. Agric. Food Syst. Community Dev. 5, 1–6. doi:10.5304/jafscd.2015.054.018

CrossRef Full Text | Google Scholar

Wang, J., Ju, K., and Wei, X. (2022). Where will ‘water-energy-food’ research go next?—visualisation review and prospect. Sustain 14, 7751–7819. doi:10.3390/su14137751

CrossRef Full Text | Google Scholar

Ward, F. A., and Pulido-Velázquez, M. (2008). Efficiency, equity, and sustainability in a water quantity-quality optimization model in the Rio Grande basin. Ecol. Econ. 66, 23–37. doi:10.1016/j.ecolecon.2007.08.018

CrossRef Full Text | Google Scholar

White, D. D., Jones, J. L., Maciejewski, R., Aggarwal, R., and Mascaro, G. (2017). Stakeholder analysis for the food-energy-water nexus in Phoenix, Arizona: Implications for nexus governance. Sustain 9, 2204. doi:10.3390/su9122204

CrossRef Full Text | Google Scholar

Wright, R. O., Tsaih, S. W., Schwartz, J., Wright, R. J., and Hu, H. (2003). Association between iron deficiency and blood lead level in a longitudinal analysis of children followed in an urban primary care clinic. J. Pediatr. 142, 9–14. doi:10.1067/mpd.2003.mpd0344

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, X., and Chen, C. (2019). Energy efficiency and energy justice for U.S. low-income households: An analysis of multifaceted challenges and potential. Energy Policy 128, 763–774. doi:10.1016/j.enpol.2019.01.020

CrossRef Full Text | Google Scholar

Yuan, M. H., and Lo, S. L. (2022). Principles of food-energy-water nexus governance. Renew. Sustain. Energy Rev. 155, 111937. doi:10.1016/j.rser.2021.111937

CrossRef Full Text | Google Scholar

Zhang, P., Zhang, L., Chang, Y., Xu, M., Hao, Y., Liang, S., et al. (2019). Food-energy-water (few) nexus for urban sustainability: A comprehensive review. Resour. Conserv. Recycl. 142, 215–224. doi:10.1016/j.resconrec.2018.11.018

CrossRef Full Text | Google Scholar

Zhou, Y., Wei, B., Zhang, R., and Li, H. (2022). Evolution of water–energy–food–climate study: Current status and future prospects. J. Water Clim. Chang. 13, 463–481. doi:10.2166/wcc.2021.450

CrossRef Full Text | Google Scholar

Zurek, M., Hebinck, A., Leip, A., Vervoort, J., Kuiper, M., Garrone, M., et al. (2018). Assessing sustainable food and nutrition security of the EU food system-an integrated approach. Sustain 10, 4271. doi:10.3390/su10114271

CrossRef Full Text | Google Scholar

Keywords: food-energy-water systems, nexus, systematic literature review (SLR), assessment tools, social justice and equity, decision-making, governance

Citation: Stone TF, Dickey LC, Summers H, Thompson JR, Rehmann CR, Zimmerman E and Tyndall J (2023) A systematic review of social equity in FEWS analyses. Front. Environ. Sci. 11:1028306. doi: 10.3389/fenvs.2023.1028306

Received: 25 August 2022; Accepted: 07 March 2023;
Published: 22 March 2023.

Edited by:

Donald Wuebbles, University of Illinois at Urbana-Champaign, United States

Reviewed by:

Mei-Hua Yuan, Academia Sinica, Taiwan
Leah Jones-Crank, Columbia University, United States

Copyright © 2023 Stone, Dickey, Summers, Thompson, Rehmann, Zimmerman and Tyndall. 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: Tiffanie F. Stone, tstone@iastate.edu

These authors have contributed equally to this work and share first authorship

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