The Resilience of Vegetation to the 2009/2010 Extreme Drought in Southwest China

Shao, Hui; Zhang, Yuandong; Gu, Feng-Xue; Peng, Zhongtong

doi:10.3390/f13060851

Cited by 13 publications

(11 citation statements)

References 59 publications

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“…This study shows the spatial differences between drought resistance and resilience of the EBF and ENF in the Chinese subtropics ( Figures 8 , 9 ). As shown in the figure, the resistance value of the EBF to drought was significantly higher than that of the ENF, indicating that EBF has a stronger drought resistance ability in the subtropical region of China, which is consistent with previous studies ( Huang and Xia, 2019 ; Shao et al., 2022 ). The reason may belong to the higher photosynthesis efficiency of EBF than that of ENF during drought ( Wu and Wang, 2022 ).…”

Section: Discussionsupporting

confidence: 91%

“…Natural forest resources protection, Returning farmland to forest, etc.) have made great improvement on carbon sequestration capability ( Kong et al., 2020 ; Tong et al., 2020 ), and the increasing forest stand quality further enhanced the LUE and WUE of forest ecosystems ( Ponce-Campos et al., 2013 ; Guo et al., 2019 ; Huang and Xia, 2019 ; Shao et al., 2022 ), leading to strong resistance and resilience to drought. There is no doubt that these strategies should continue to be implemented and widely promoted to provide strong support for subtropical forests to respond and adapt to climate change.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, due to the similar change trend of WUE in the case of changes in hydroclimatic conditions of EBF and ENF (Sharma and Goyal, 2018;Huang and Xia, 2019), resulting the similar resilience of EBF and ENF to drought in subtropical China. However, the varies in climate and geological conditions cased spatial difference of WUE in two forests, which may be the reason of spatial heterogeneity in resilience throughout subtropical China (Guo et al, 2019;Shao et al, 2022). EBF and ENF are the predominant vegetation types in subtropical regions of China, especially EBF, which accounts for approximately 60% of global photosynthetic carbon uptake (Mitchard, 2018).…”

Section: Differences In Ecosystem Stability Between Ebf and Enfmentioning

confidence: 99%

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Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Yan

Mao

et al. 2023

Front. Plant Sci.

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Subtropical forests are rich in vegetation and have high photosynthetic capacity. China is an important area for the distribution of subtropical forests, evergreen broadleaf forests (EBFs) and evergreen needleleaf forests (ENFs) are two typical vegetation types in subtropical China. Forest carbon storage is an important indicator for measuring the basic characteristics of forest ecosystems and is of great significance for maintaining the global carbon balance. Drought can affect forest activity and may even lead to forest death and the stability characteristics of different forest ecosystems varied after drought events. Therefore, this study used meteorological data to simulate the standardized precipitation evapotranspiration index (SPEI) and the Biome-BGC model to simulate two types of forest carbon storage to quantify the resistance and resilience of EBF and ENF to drought in the subtropical region of China. The results show that: 1) from 1952 to 2019, the interannual drought in subtropical China showed an increasing trend, with five extreme droughts recorded, of which 2011 was the most severe one; 2) the simulated average carbon storage of the EBF and ENF during 1985-2019 were 130.58 t·hm-2 and 78.49 t·hm-2, respectively. The regions with higher carbon storage of EBF were mainly concentrated in central and southeastern subtropics, where those of ENF mainly distributed in the western subtropic; 3) The median of resistance of EBF was three times higher than that of ENF, indicating the EBF have stronger resistance to extreme drought than ENF. Moreover, the resilience of two typical forest to 2011 extreme drought and the continuous drought events during 2009 - 2011 were similar. The results provided a scientific basis for the response of subtropical forests to drought, and indicating that improve stand quality or expand the plantation of EBF may enhance the resistance to drought in subtropical China, which provided certain reference for forest protection and management under the increasing frequency of drought events in the future.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Differences In Ecosystem Stability Between Ebf and Enfmentioning

confidence: 99%

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Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Yan

Mao

et al. 2023

Front. Plant Sci.

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“…Previous discussions of the impact of extreme temperatures on NEE have majorly focused on the tropics and subtropics, whereas boreal forests have been ignored ( Yuri et al., 2021 ). Considering that the scale and intensity of extreme temperature events may increase in the future, to accurately evaluate the carbon sink capacity of forest ecosystems, it is essential to elucidate the response characteristics of net carbon uptake of boreal forests to extreme temperatures ( Meehl and Tebaldi, 2004 ; Shao et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Extreme temperature events reduced carbon uptake of a boreal forest ecosystem in Northeast China: Evidence from an 11-year eddy covariance observation

Yan

Li²,

Zhou³

et al. 2023

Front. Plant Sci.

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Boreal forests, the second continental biome on Earth, are known for their massive carbon storage capacity and important role in the global carbon cycle. Comprehending the temporal dynamics and controlling factors of net ecosystem CO2 exchange (NEE) is critical for predicting how the carbon exchange in boreal forests will change in response to climate change. Therefore, based on long-term eddy covariance observations from 2008 to 2018, we evaluated the diurnal, seasonal, and interannual variations in the boreal forest ecosystem NEE in Northeast China and explored its environmental regulation. It was found that the boreal forest was a minor CO2 sink with an annual average NEE of -64.01 (± 24.23) g CO2 m-2 yr-1. The diurnal variation in the NEE of boreal forest during the growing season was considerably larger than that during the non-growing season, and carbon uptake peaked between 8:30 and 9:30 in the morning. The seasonal variation in NEE demonstrated a “U” shaped curve, and the carbon uptake peaked in July. On a half-hourly scale, photosynthetically active radiation and vapor pressure deficit had larger impacts on daytime NEE during the growing season. However, temperature had major control on NEE during the growing season at night and during the non-growing season. On a daily scale, temperature was the dominant factor controlling seasonal variation in NEE. Occurrence of extreme temperature days, especially extreme temperature events, would reduce boreal forest carbon uptake; interannual variation in NEE was substantially associated with the maximum CO2 uptake rate during the growing season. This study deepens our understanding of environmental controls on NEE at multiple timescales and provides a data basis for evaluating the global carbon budget.

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“…Particularly, under the background of global warming, relevant studies have pointed out that even if the global temperature rises by 1.5°C in the future, the probability of drought in this region will increase by three times (Price et al, 2022); when the global temperature rises by 3°C, most parts of this region will suffer from severe drought lasting for more than a year, which will increase tree mortality (Green et al, 2020; Koch, 2022; Zhang, Brandt, et al, 2022), induce wildfire and biotic disturbance (Huang et al, 2017; Wendler et al, 2011), and even exacerbate the food crisis and poverty (Feyen & Dankers, 2009; He et al, 2022). That is, with the occurrence of global warming, the frequency and duration of extreme drought events has increased (Spinoni et al, 2021; Wang, Liang, et al, 2021), which have caused great disturbances to the fragile karst vegetation ecosystem, research on regional vegetation resilience has become more imperative (Jiang et al, 2022; Shao et al, 2022); furthermore, because of the differences in soil and water assemblage, light and heat conditions, and human activities, whether vegetation resilience in south China karst has the differentiation characteristics is also worth exploring. Therefore, in terms of the changing ac1 coefficient, we investigated the resilience of vegetation ecosystems and how their resilience changed in the entire region and in different environmental gradients over nearly three decades; on this basis, the driving forces of vegetation resilience changes were analysed, aimed at offering a comprehensive perspective to assess vegetation stability in karst regions.…”

Section: Introductionmentioning

confidence: 99%

Differentiation characteristics of karst vegetation resilience and its response to climate and ecological restoration projects

Chen

Wang

et al. 2023

Land Degrad Dev

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In light of the recent pressure from global warming, extreme drought events, and deleterious human activity, the strength and long‐term change trends of vegetation in karst regions—in terms of their resistance to external disturbances—have not been studied systematically. Therefore, herein, we quantified the vegetation resilience and its nonlinear change trends in south China karst under different environmental gradients by measuring the lag‐1 autocorrelation to time‐series Normalized Difference Vegetation Index (1990–2018), clarifying the driving forces of vegetation resilience changes. It was shown that the vegetation resilience change in south China karst was not monotonous. In the first stage (pre‐2002), precipitation and warming promoted the increase of regional vegetation resilience (slope = −0.045, p < 0.0001). In the second stage (during 2002–2010), the increasing trend of vegetation resilience was not obvious and vegetation resilience was difficult to keep up with vegetation productivity, indicating the time‐lagged effect of ecological restoration projects to vegetation resilience. In the third stage (post‐2010), due to the continuous advancement of ecological restoration projects, vegetation resilience increased significantly and had the largest amplitude (slope = −0.128, p < 0.0001). Simultaneously, under different environmental gradients, vegetation resilience showed significant differentiation characteristics. In comparison to non‐karst regions, increases in the vegetation resilience were more obvious in karst regions especially in the post‐2010. With increases in the soil depth, the vegetation resilience exhibited an increasing trend, indicating its dependence on soil. At slopes >25°, the vegetation resilience increased most obviously and the resilience of meadows was the largest, which can be the preferred vegetation type for ecological restoration projects. This research provides another perspective to understand karst vegetation ecosystem and the results will facilitate the protection of karst ecosystems.

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The Resilience of Vegetation to the 2009/2010 Extreme Drought in Southwest China

Cited by 13 publications

References 59 publications

Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Extreme temperature events reduced carbon uptake of a boreal forest ecosystem in Northeast China: Evidence from an 11-year eddy covariance observation

Differentiation characteristics of karst vegetation resilience and its response to climate and ecological restoration projects

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