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Water and Carbon Dynamics, Ecosystem Stability of Forest and Grassland in Response to Climate Change

Cover image for Research Topic "Water and Carbon Dynamics, Ecosystem Stability of Forest and Grassland in Response to Climate Change"
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Editorial03 April 2024
Editorial: Water and carbon dynamics, ecosystem stability of forest and grassland in response to climate change

Climate change, characterized by long-term trends in temperature and rainfall, has emerged as a prominent concern in recent years (Seddon et al., 2016), exerting a substantial influence on the global carbon, water, and energy cycles of forest and grassland ecosystems. Additionally, the increasing frequency of extreme weather events can have devastating consequences for various terrestrial ecosystems (IPCC, 2021).

To further investigate the impact of climate change on forest and grassland ecosystems and support China’s efforts to reach its peak carbon dioxide emissions and carbon-neutral goals, this research topic was proposed. This collection comprises 23 original research articles and 1 opinion article, presenting recent advancements in the following areas: (1) carbon, water, and energy cycling of forest and grassland ecosystems in response to climate change, and (2) the response and adaptation of vegetation characteristics and ecosystem stability to climate change.

Carbon, water, and energy cycling in forest and grassland ecosystems

Carbon storage in terrestrial ecosystems plays a crucial role in mitigating climate change and achieving the goal of "carbon neutrality" by 2060. Chen et al. (2023) quantified the dynamics of soil organic carbon density (SOCD) from 1982 to 2020 and identified the dominant drivers using random forest regression. They identified temperature, vegetation greenness, elevation, and wind speed as the primary drivers of changes in SOCD. Grassland degradation may contribute to the loss of soil organic carbon and have a negative impact on the climate. This emphasizes the importance of prioritize carbon management. Based on inventories conducted at the Taihang Mountains Priority Reserve, Lu et al. (2023) found that structural diversity enhances forest carbon storage, while species diversity promotes carbon storage in shrublands. In addition, increasing elevation strengthened the relationship between structural diversity and carbon in forests, but weakened the relationship between species diversity and carbon in shrublands. All these differences were attributed to niche and architectural complementarity, as well as life strategies, which could guide the differentiated management of forests and shrublands. Liu et al. (2022) synthesized field measurements of ecosystem carbon use efficiency (CUEe) and demonstrated significant differences in CUEe among various ecologically vulnerable areas. This research is valuable for understanding the impact of climate change on vegetation.

Evapotranspiration (ET) is a crucial factor in regulating global water and energy cycles. Based on annual evapotranspiration (AET) values from forests and grasslands in China measured using eddy covariance, Fan et al. (2022) analyzed the differences in AET values and spatial variations between forests and grasslands. They found that forests had significantly higher AET values than grasslands. However, there was no significant difference in AET values between forests and grasslands after controlling mean annual precipitation (MAP) relating factors. The spatial variations of AET in forests and grasslands are influenced by multiple factors, with MAP playing a dominant role. Furthermore, AET exhibited similar responses to MAP across various ecosystem types, resulting in comparable AET values under similar climatic conditions.

Response and adaptation of vegetation to climate change

The Qinghai-Tibetan Plateau (QTP) is the highest and largest plateau in the world, characterized by diverse topographic conditions and climate types. It experiences relatively less disturbance from human activity, making it an important area of research for studying the response and adaptation of vegetation to climate change. Using the MaxEnt model, Hu et al. (2022) simulated the potential impacts of climate change on the richness and distribution of endangered orchid species in the 2050s and 2070s. They found that the potential distribution area of orchid species would increase, while the richness of orchid species would generally decline with increasing elevation in the future. Additionally, the selection of protected areas in the southeast QTP should be a key consideration for future conservation plans. These results help us predict the potential impacts of climate change on species richness and distribution, which are crucial for the conservation of endangered species. He et al. (2022) measured leaf chlorophyll (Chl) levels among grassland species at various sites in QTP and identified a significant spatial pattern in leaf Chl. They observed that leaf Chl decreased with latitude but increased with longitude, under the combined effect of climate (photosynthetically active radiation (PAR), humidity index), soil nutrients, and plant functional group. Moreover, plant evolution has played a dominant role in shaping variations in leaf Chl levels. It has been observed that leaf Chl levels decrease non-linearly with plant evolutionary divergence time, which corresponds well to the non-linearly increasing trend in PAR or the decreasing trend in temperature during the geological timescale uplift of the Tibetan Plateau. This finding has the potential to prompt a reevaluation of the photosynthetic capacity in plants and the carbon cycle from an evolutionary perspective.

In recent years, there has been an increase in the frequency and duration of droughts. And the impact of these drought events on carbon flux has received significant attention, especially in the mid-latitude semiarid region. Qian et al. (2022) reported findings that the regulation of soil respiration by drought depends on seasonal timing and communities in a semi-arid grassland. The prolonged drought had more pronounced effects on soil respiration and heterotrophic respiration than the initial drought. Under drought conditions, soil water content indirectly regulates soil respiration through the microbial biomass content and gross primary production. More attention should be paid to droughts with different seasonal timing and the consequent changes in plant structure when predicting carbon dynamics under climate change. Jia et al. (2022) investigated the growth resilience indices and intrinsic water use efficiency (iWUE) of Q. variabilis and R. pseudoacacia across three crown classes using dendrochronology and carbon isotopes. Growth resilience indices, iWUE, and the current canopy health score, which serves as a proxy for vulnerability to canopy dieback, were analyzed to assess the relationships between these indicators and drought-induced mortality. It provides helpful information on species selection and management measures for plantations in lithoid mountainous areas with an increasing risk of drought. Based on eddy-covariance fluxes from various ecosystems, Liu et al. (2023) found that soil factors had a greater impact on carbon fluxes in the drylands than climate and vegetation factors. It is necessary to fully consider the disparate effects and cascading relationships of these three factors on fluxes.

Moreover, frequent extreme temperatures are common in the middle and high latitudes of the Northern Hemisphere, which is also a significant area of research for climate change. Yan et al. (2023) demonstrated that temperature is the primary factor influencing seasonal fluctuations in net ecosystem CO2 exchange on a daily scale, based on 11 years of eddy covariance observations. They also found that extreme temperature events would lead to a significant reduction in carbon uptake in the boreal forest ecosystem. These findings provide valuable data for assessing carbon budgets in the context of climate change.

Perspective

This collection presents the latest research on how climate change and extreme weather events affect the mass and energy cycles in forest and grassland ecosystems, as well as the adaptation of plants. It highlights the importance of ecosystem management and provides insights into evolutionary processes, species diversity, plant functional groups, and the impact of droughts at different times of the year. The research topic also encompasses the interconnected relationships among these factors. However, the coverage of this research in terms of time and space is still limited. Further research is still needed to gain a deeper understanding of how ecosystems interact with and respond to climate change.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

Funding

This work was supported by the Special Project on National Science and Technology Basic Resources Investigation of China (2021FY100701) and the National Key Research and Development Project (2020YFA0608101).

1,582 views

2 citations

ORIGINAL RESEARCH
11 August 2023
Comparison of plant diversity-carbon storage relationships along altitudinal gradients in temperate forests and shrublands
Shuaizhi Lu, 8 more and Ke Guo
Comparison of plant diversity-carbon storage relationships along altitudinal gradients in temperate forests and shrublands
Plant diversity strongly influences ecosystem functions, such as biomass carbon. However, the differences in plant diversity-carbon relationships along altitudinal gradients between forests and shrublands are poorly understood, impeding ability to manage terrestrial ecosystems and predict carbon sinks. Using data from 37962 trees of 115 temperate forests and 134 shrublands plots of Taihang Mountains Priority Reserve, we analyzed the effects of species diversity, structural diversity, and dominant species on carbon storage along altitudinal gradients in temperate forests and shrublands. We found that species diversity underpins shrubland carbon storage, but structural diversity is more important for forest carbon storage. Specifically, with increasing structural diversity, forest carbon storage increased but shrubland decreased. Besides, the relative abundance of dominant species had a ubiquitous negative indirect effect on carbon storage via species diversity in both forests and shrublands. Furthermore, altitudinal gradients altered the response mechanisms of carbon storage in forests and shrublands. Specifically, high altitudes prominently enhanced the positive relationship of carbon-structural diversity in forests and weakened the positive relationship of carbon-species diversity in shrublands. This study could help guide differentiated forests and shrublands management in reaction to environmental change

6,314 views

23 citations

ORIGINAL RESEARCH
20 September 2023
Phenotypic plasticity of growth ring traits in Pinus hartwegii at the ends of its elevational gradient
Lizbeth Carrillo-Arizmendi, 3 more and Angel Roberto Martínez-Campos

2,966 views

3 citations

ORIGINAL RESEARCH
8 May 2023
Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model
Jie Chen, 5 more and Xiaogang Dong
Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model
China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance and mitigating climate change, both nationally and globally. Soil organic carbon density (SOCD) is an important indicator of SOCS. Exploring the spatiotemporal dynamics of SOCD helps policymakers to develop strategies to reduce carbon emissions meeting the goals of “emission peak” in 2030 and “carbon neutrality” in 2060 proposed by the Chinese government. The objective of this study was to quantify the dynamics of SOCD (0–100 cm) in Chinese grasslands from 1982 to 2020 and identify the dominant factors driving SOCD change using a random forest model. The results showed that the mean SOCD in Chinese grasslands was 7.791 kg C m-2 in 1982 and 8.525 kg C m-2 in 2020, with a net increase of 0.734 kg C m-2 with regional variability. The areas with increased SOCD were mainly distributed in the southern (0.411 kg C m-2), northwestern (1.439 kg C m-2) and Qinghai-Tibetan (0.916 kg C m-2) regions, while those with the decreased SOCD were mainly found in the northern (0.172 kg C m-2) region. Temperature, normalized difference vegetation index, elevation and wind speed were the dominant factors driving grassland SOCD change, explaining 73.23% of SOCD’s total variation. During the study period, grassland SOCS increased in the northwestern region, and decreased in the other three regions across China. Overall, SOCS of Chinese grasslands in 2020 was 22.623 Pg, a net decrease of 1.158 Pg since 1982 of 23.780 Pg. Over the past few decades, the reduction in grassland SOCS caused by grassland degradation may have contributed to CO2 emissions and created a negative climate impact. The results clearly highlight the urgency of strengthening soil carbon management in these grasslands and improve SOCS towards a positive climate impact.

4,511 views

16 citations

ORIGINAL RESEARCH
30 March 2023
Two-level mixed-effects height to crown base model for moso bamboo (Phyllostachys edulis) in Eastern China
Xiao Zhou, 5 more and Guanglu Liu

4,144 views

9 citations

Changes and net ecosystem productivity of terrestrial ecosystems and their influencing factors in China from 2000 to 2019
ORIGINAL RESEARCH
15 March 2023
Changes and net ecosystem productivity of terrestrial ecosystems and their influencing factors in China from 2000 to 2019
Yutao Huang, 8 more and Wenshuai Zhang

7,136 views

32 citations

ORIGINAL RESEARCH
1 March 2023
The estimation and partitioning of evapotranspiration in a coniferous plantation in subtropical China
Mingjie Xu, 10 more and Huimin Wang

3,414 views

15 citations

Surface energy partitioning and evapotranspiration in a Pinus tabuliformis plantation in Northeast China
ORIGINAL RESEARCH
3 February 2023
Surface energy partitioning and evapotranspiration in a Pinus tabuliformis plantation in Northeast China
Xiang Gao, 5 more and Hui Huang
Examining the land-atmosphere interaction in vegetation rehabilitation areas is important for better understanding of land surface processes affected by human activities. In this study, energy flux observations were used to investigate surface energy partitioning and evapotranspiration (ET) in a Pinus tabuliformis plantation in Northeast China in 2020 and 2021. The sensible heat flux (H) was the dominant component of Rn, and the ratio of H to the latent heat flux was higher than 1 at all growth stages. The two most important factors influencing the midday evaporative fraction and daily ET were the normalized difference vegetation index (NDVI) and soil water content at 10 cm depth (SWC10). Cumulative precipitation (P) minus ET was 62.83 and 239.90 mm in 2020 (annual P of 435.2 mm) and 2021 (annual P of 632.8 mm), respectively. The midday Priestley–Taylor coefficient (α), surface conductance (gs), and decoupling coefficient increased gradually from the onset of the mid-growing stage and decreased from the later growing stage. Midday α and gs increased with NDVI and SWC10 increasing until the NDVI (0.5) and SWC10 (0.17 mm3 mm−3) thresholds were reached, respectively. Midday α and gs were significantly influenced by vapor pressure deficit below 3 kPa, and the threshold value of midday gs was approximately 12 mm s−1. In conclusion, this Pinus tabuliformis plantation regulated surface energy partitioning properly, and left a part of P for surface runoff and groundwater recharge in the semiarid region of Northeast China.

8,901 views

8 citations

Net primary productivity (NPP) is an important indicator used to characterize the productivity of terrestrial ecosystems. The spatial distribution and dynamic change in NPP are closely related to regional climate, vegetation growth and human activities. Studying the spatiotemporal dynamics of NPP and its influencing factors plays a vital role in understanding ecosystem carbon sink capacity. Based on MODIS-NPP data, meteorological data, and land use data from 2000 to 2020, we analyzed the spatiotemporal variation characteristics and influencing factors of NPP in the middle reaches of the Yellow River (MRYR) by using unary linear regression analysis, third-order partial correlation analysis, and Sen+Mann-Kendall trend analysis. The results showed that the annual average NPP of the MRYR was 319.24 gCm-2a-1 with a spatially decreasing trend from the southern part to the northern part. From 2000 to 2020, the annual average NPP experienced a fluctuating upward trend at a rate of 2.83 gCm-2a-1, and the area with a significant upward trend accounted for 87.68%. The NPP of different land use types differed greatly, in which forest had the greatest increase in NPP. Temperature had a negative correlation with NPP in most parts of the MRYR. Water vapor pressure promoted the accumulation of NPP in the northwestern MRYR. The areas with a positive correlation between NPP and water vapor pressure accounted for 87.6%, and 20.43% of the MRYR area passed the significance test of P < 0.05. The results of the study highlight the impact of climate factors and land-use changes on NPP and provide theoretical guidance for high-quality sustainable development in the MRYR.

5,182 views

27 citations

The effects of ectomycorrhizal and saprotropic fungi on soil nitrogen mineralization differ from those of arbuscular and ericoid mycorrhizal fungi on the eastern Qinghai-Tibetan Plateau
ORIGINAL RESEARCH
4 January 2023
The effects of ectomycorrhizal and saprotropic fungi on soil nitrogen mineralization differ from those of arbuscular and ericoid mycorrhizal fungi on the eastern Qinghai-Tibetan Plateau
Interactions between soil fungi and soil environmental factors regulate soil nitrogen (N) mineralization rates on the eastern Qinghai-Tibetan Plateau. Some studies have also illuminated differences in soil N mineralization rate based on different mycorrhizal forests, but the associated effect of soil fungal functional guilds and soil environmental factors underlying this process are not well-understood. Three primary forests respectively dominated by Abies fargesii var. faxoniana (ectomycorrhizal, EcM), Cupressus chengiana (arbuscular mycorrhizal, AM) and Rhododendron phaeochrysum ectomycorrhizal (ericoid mycorrhizal, ErM) trees were selected in this area. Meanwhile, soil net N mineralization rate, soil fungal composition and soil enzyme activity among these three mycorrhizal forests were studied. Our results showed that there were significant differences in the seasonal variation of soil net N mineralization rates among three mycorrhizal forests. Soil net N mineralization rate in the AM forest was faster. EcM fungi and saprotroph are the main functional guilds in these three mycorrhizal forests. Meanwhile, the relative abundances of soil fungal functional guilds, soil temperature and soil peroxidase activity could explain 85.0% in the difference of soil net ammonification rate among three mycorrhizal forests. In addition, soil temperature, soil water-filled pore space and soil ammonium content play a central role in controlling the differing soil net nitrification rate among three mycorrhizal forests. Our results suggest differences in soil net mineralization among different mycorrhizal forest types are driven mainly by soil net ammonification. Soil fungal functional guilds and temperature regulate the rate of soil net ammonification by modulating soil peroxidase activity.

3,693 views

16 citations

ORIGINAL RESEARCH
20 December 2022
Response of leaf biomass, leaf and soil C:N:P stoichiometry characteristics to different site conditions and forest ages: a case of Pinus tabuliformis plantations in the temperate mountainous area of China
Yutao Wang, 4 more and Ping Liu

2,513 views

12 citations

ORIGINAL RESEARCH
12 December 2022
Ecosystem carbon use efficiency in ecologically vulnerable areas in China: Variation and influencing factors
Zhaogang Liu, 5 more and Lang Han
Ecosystem carbon use efficiency in ecologically vulnerable areas in China: Variation and influencing factors
Ecologically vulnerable areas (EVAs) are regions with ecosystems that are fragile and vulnerable to degradation under external disturbances, e.g., environmental changes and human activities. A comprehensive understanding of the climate change characteristics of EVAs in China is of great guiding significance for ecological protection and economic development. The ecosystem carbon use efficiency (CUEe) can be defined as the ratio of the net ecosystem productivity (NEP) to gross primary productivity (GPP), one of the most important ecological indicators of ecosystems, representing the capacity for carbon transfer from the atmosphere to a potential ecosystem carbon sink. Understanding the variation in the CUEe and its controlling factors is paramount for regional carbon budget evaluation. In this study, we synthesized 55 field measurements (3 forestland sites, 37 grassland sites, 6 cropland sites, 9 wetland sites) of the CUEe to examine its variation and influencing factors in EVAs in China. The results showed that the CUEe in EVAs in China ranged from -0.39 to 0.67 with a mean value of 0.20. There were no significant differences in the CUEe among different vegetation types, but there were significant differences in CUEe among the different EVAs (agro-pastoral ecotones < Tibetan Plateau < arid and semiarid areas < Loess Plateau). The CUEe first decreased and then increased with increasing mean annual temperature (MAT), soil pH and soil organic carbon (SOC) and decreased with increasing mean annual precipitation (MAP). The most important factors affecting the CUEe were biotic factors (NEP, GPP, and leaf area index (LAI)). Biotic factors directly affected the CUEe, while climate (MAT and MAP) and soil factors (soil pH and SOC) exerted indirect effects. The results illustrated the comprehensive effect of environmental factors and ecosystem attributes on CUEe variation, which is of great value for the evaluation of regional ecosystem functions.

4,401 views

16 citations

Forage quality and physiological performance of mowed alfalfa (Medicago sativa L.) subjected to combined light quality and drought
ORIGINAL RESEARCH
22 November 2022
Forage quality and physiological performance of mowed alfalfa (Medicago sativa L.) subjected to combined light quality and drought
Chunxia He, 4 more and Jinsong Zhang

3,495 views

18 citations

2,954 views

12 citations

ORIGINAL RESEARCH
17 November 2022
Regulating carbon and water balance as a strategy to cope with warming and drought climate in Cunninghamia lanceolata in southern China
Xuan Fang, 8 more and Jian Wang

3,426 views

8 citations

ORIGINAL RESEARCH
12 October 2022
Drought effects on tree growth, water use efficiency, vulnerability and canopy health of Quercus variabilis-Robinia pseudoacacia mixed plantation
HanSen Jia, 4 more and Ping Meng

5,067 views

18 citations