Interannual variability of vegetation sensitivity to climate in China

Jiang, Ping; Ding, Wei; Yuan, Y.; Ye, Weifeng; Mu, Yangjie

doi:10.1016/j.jenvman.2021.113768

Cited by 33 publications

(29 citation statements)

References 87 publications

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“…The spatial distribution of ecosystem stability was higher in the northeast and lower in the southwest part of the APENC (Figure 2c). The spatial differentiation between resilience and resistance exhibited the opposite pattern (Figure 2a, b); that is, the resilience was lower in the southwest and the resistance was higher, while the resilience was higher and the resistance was lower in the northeast, and such spatial distribution is similar to the previous study (Jiang et al, 2022; Yao, Liu, et al, 2021).…”

Section: Resultssupporting

confidence: 87%

“…On the other hand, according to the GWR results, there were significant spatial differences in the influences of AI changes on the resistance. Scatter diagrams were drawn based on the county‐scale data in our study area (Figure 4), and we found that with the increase in AI changes, the resistance changes would exhibit a trend of increasing first and then decreasing, and a similar pattern has also been observed in previous studies (Jiang et al, 2022). Studies have shown that increased precipitation would enhance species asynchrony, which will have an indirect positive impact on the resistance (Yu et al, 2021; Zhang et al, 2019), but a wetter condition may make vegetation more sensitive, showing an increase in VSI and a corresponding decrease in resistance (Jiang et al, 2022; Yao, Liu, et al, 2021).…”

Section: Discussionsupporting

confidence: 84%

“…To this end, we assessed the differences in the stability of the APENC in response to climate anomalies exposures during two phases, and our results show that ERPs have a positive effect on ecosystem stability. In addition, many studies interpret temporal and spatial changes of stability from the perspective of environmental factors (Jiang et al, 2022; Li et al, 2019; Li, Zhang, et al, 2020), which can help to understand the characteristics of ecosystem stability but may ignore the role of socioeconomic elements in influencing it. To this end, we selected certain factors related to multi‐policies with a social‐ecological systemic perspective and analyzed their coupling effects on ecosystem stability.…”

Section: Discussionmentioning

confidence: 99%

“…However, by analyzing relevant studies, we found strong spatial differences in the patterns between AI and stability at different regions or scales. For example, in China and central Asia, AI and resilience have negative and positive spatial correlations, respectively (Yao, Liu, et al, 2021; Yuan et al, 2021), and in the grasslands of the drylands and China, the AI and resistance exhibit positive and negative spatial correlations, respectively (Jiang et al, 2022). Such spatial heterogeneity may be related to the differences in plant distribution.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Changed ecosystem stability in response to climate anomalies in the context of ecological restoration projects

Dang

et al. 2023

Land Degrad Dev

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Dryland ecosystems are fragile and under the context of climate change, the increased frequency of short‐term climate variability will put them under additional stress, so the ability of dryland ecosystems to stabilize against exposure to climate anomalies is becoming increasingly critical. To mitigate the degradation of dryland ecosystems in China, the Chinese Government has launched ambitious ecological restoration projects (ERPs) in drylands, and understanding the effects and mechanisms of these projects on dryland stability is particularly important for the future integration of stability enhancement into ecosystem management goals. However, few researchers have focused on such effects. Here, the agro‐pastoral ecotone in northern China, which is located in the northern drylands of China and contains several national ERPs, was used to analyze the above problem. Specifically, the stability of ecosystems in response to climate anomalies was evaluated from the perspectives of resilience and resistance, and we analyzed the impacts of ERPs and parallel policies on ecosystem stability combined with a social‐ecological systemic perspective. Our results showed that the ecosystem stability has improved in the last 20 years, and although environmental factors dominated the spatial heterogeneity and temporal variations in the stability, afforestation and socioeconomic processes associated with ERPs and parallel policies also showed significant effects. Therefore, guiding and establishing a solid and low‐ecological impact rural livelihoods is an important guarantee to achieving stability improvement through relevant policies. Our study decoupled the complex outcomes of ERPs from the perspective of ecosystem stability and contributes to the understanding of dryland stability from a social‐ecological perspective. Furthermore, new insights and theoretical foundations are provided for incorporating stability enhancement into future goals of dryland ecosystem management.

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Section: Resultssupporting

confidence: 87%

Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Changed ecosystem stability in response to climate anomalies in the context of ecological restoration projects

Dang

et al. 2023

Land Degrad Dev

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“…Since the end of the last century, the effect of climate change on vegetation activity has become more evident in most areas of China (Liu et al, 2022). In particular, climate change leads to unstable vegetation growth in humid areas such as southwest and central China (Jiang et al, 2022). In the northwestern arid region, vegetation activity decreases with climate warming (Gao et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100

Jian

Shi

Cui

et al. 2023

Front. For. Glob. Change

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Increasing climate change makes vegetation dynamic. At the same time, dynamic changes in vegetation not only have a feedback effect on climate change, but also affect the hydrological cycle process. Therefore, understanding the vegetation change and its response to climate change is a priority for predicting future climate change and studying the impact of vegetation change on the hydrological cycle. In this study, the Yellow River Basin in China is the study area. Based on the analysis of the evolution characteristics of meteorological elements and fractional vegetation cover (FVC), the delta downscaling Coupled Model Intercomparison Project Phase 6 (CMIP6) models are optimized. The empirical orthogonal function (EOF) and singular value decomposition (SVD) methods are used to investigate the impact of climate change on vegetation in the Yellow River Basin. The results show that: (1) in the four scenarios (SSP126, SSP245, SSP370, and SSP585), FVC in the Yellow River Basin from 2022 to 2100 shows an increasing trend, SSP370 (0.017 10a–1) > SSP126 (0.014 10a–1) > SSP245 (0.0087 10a–1) > SSP585 (0.0086 10a–1). Spatially, FVC in most regions of the Yellow River Basin show an increasing trend under the four scenarios, and the degraded areas are concentrated in a small part of the Yellow River headwaters. (2) There is a significant positive correlation between FVC and precipitation (Pre) and temperature (Tem) under four scenarios in the Yellow River Basin from 2022 to 2100. Under the same scenario, the annual average temperature can be considered as the dominant factor of FVC change in the Yellow River Basin. Under different scenarios, the impact of climate change on FVC under the high emission scenarios is greater than that under the low emission scenarios. This study will help to better understand the response of vegetation to climate change and provide a scientific basis for formulating ecological protection measures to cope with future climate change in the Yellow River Basin.

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Monitoring long‐term vegetation dynamics over the Yangtze River Basin, China, using multi‐temporal remote sensing data

Fu,

Liu,

Qin

et al. 2024

Ecosphere

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Vegetation plays a crucial role in nature, with intricate interactions between it and the geographical environment. The Yangtze River Basin (YRB) refers to the third largest river basin globally and an essential ecological security barrier in China. Monitoring vegetation dynamics in the basin is of profound significance for addressing climate change, soil erosion, and biodiversity loss in the basin's ecosystems. Here, we investigate the spatiotemporal variations of vegetation at both the basin and land cover scales in the YRB from 2000 to 2020. We elucidate the determinants driving the changes and explore future normalized difference vegetation index (NDVI) trends. The results indicate that NDVI in the YRB increased at a rate of 0.0032 year−1 (p < 0.01) over the past 21 years, and it is anticipated to maintain an upward trend in the future. Regions in the upper and middle reaches of the YRB demonstrated higher NDVI, whereas regions in the headwater area and the lower reaches showed lower NDVI. Significant vegetation improvement was primarily concentrated in the central part of the basin, while noticeable vegetation degradation was observed in the eastern region. Temperature and wind speed were identified as the primary controlling factors affecting vegetation greenness. Global‐scale climate oscillations played a significant role in driving periodic variations in NDVI, with La Niña events tending to increase NDVI, while El Niño events hindered its rise. Land cover types were influenced by long‐term interactions between natural factors and human activities, although short‐term vegetation variations might be more affected by the latter. Our findings provide valuable insights into the mechanisms behind vegetation variability driven by multiple variables, and the strong vegetation carbon sink capacity advances the conservation and development of ecosystems.

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Interannual variability of vegetation sensitivity to climate in China

Cited by 33 publications

References 87 publications

Changed ecosystem stability in response to climate anomalies in the context of ecological restoration projects

Changed ecosystem stability in response to climate anomalies in the context of ecological restoration projects

Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100

Monitoring long‐term vegetation dynamics over the Yangtze River Basin, China, using multi‐temporal remote sensing data

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