Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau DOI Creative Commons
Hao Li, Dafang Zhuang,

Ziding Ao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112507 - 112507

Published: Aug. 17, 2024

The increasing frequency of drought events due to global climate change has significant impacts on ecosystems, often resulting in reduced vegetation productivity. However, responses exhibit non-linear threshold phenomena, where growth sharply decreases once water stress reaches a certain level. Our study, conducted the Mongolian Plateau, focuses revealing response thresholds and distribution patterns different types. These mark critical turning points from high resistance vulnerability serve as early warning indicators, crucial for accurately assessing how terrestrial ecosystems adapt change. We utilized remote sensing observation datasets inversion spanning 2001 2020, including six representative indices. results indicate that: (1) Over 70 % Plateau experiences low (<10th) predominantly influenced by drought, with occurring when availability falls below 30th percentile; (2) Areas higher coverage relatively moist climates have lower proportions thresholds, implying that more complex can better mitigate stress, while background climatic conditions also regulate availability; (3) According multi-model predictions, overall probability risk is projected significantly increase during 2080–2100, especially drought-prone regions. findings provide important insights into understanding ecosystems. Additionally, they emphasize urgency taking measures future risks.

Language: Английский

Increasing susceptibility and shortening response time of vegetation productivity to drought from 2001 to 2021 DOI
Jiwang Tang, Ben Niu, Z. Hu

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 352, P. 110025 - 110025

Published: April 26, 2024

Language: Английский

Citations

20
Detecting the interactions between vegetation greenness and drought globally DOI
Ziwei Li, Fubao Sun, Hong Wang

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 304, P. 107409 - 107409

Published: April 9, 2024

Language: Английский

Citations

16
Heterogeneity in vegetation recovery rates post-flash droughts across different ecosystems DOI Creative Commons

Mengge Lu,

Huaiwei Sun, Lei Cheng

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 074028 - 074028

Published: June 7, 2024

Abstract Flash droughts, as sub-seasonal phenomena, are characterized by their rapid onset and significant impact on terrestrial ecosystems. However, understanding how vegetation responds to flash droughts the mechanisms governing recovery remains elusive. Here, we analysed response of productivity identified most relevant drivers controlling using two soil moisture datasets (ERA5-land Global Land Data Assimilation System) satellite-based proxies (gross primary productivity, solar-induced chlorophyll fluorescence). Our results show that South China Northeast stand out hotspots for with higher frequency speed. Notably, although in cropland is relatively low, speed very high, a median 10.9% per pentad. Most ecosystems can recover normal state within 25 d. Vegetation shallow roots, such grassland, rapidly droughts. Ecosystems generally exhibit extended time increasing plant rooting depth. The rate from mainly controlled physiology (decline upon exposure drought) modulated drought characteristics, especially severity forests grassland. This study provides valuable insights into underlying responses

Language: Английский

Citations

13
Understanding the effects of flash drought on vegetation photosynthesis and potential drivers over China DOI
Yue Zhao, Lihua Xiong, Jiabo Yin

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 931, P. 172926 - 172926

Published: May 1, 2024

Language: Английский

Citations

11
Quantitative analysis of vegetation drought propagation process and uncertainty in the Yellow River Basin DOI Creative Commons
Liang Li, Peng Qing,

Maodong Wang

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 295, P. 108775 - 108775

Published: March 14, 2024

Understanding the full propagation process of drought, from meteorological drought (MD) to vegetation (VD), could promote monitoring and early warning in ecosystems. This study characterized MD, soil moisture (SD), VD their propagations using Standardized Precipitation Evapotranspiration Index (SPEI), Soil Moisture Anomaly Percentage (SMAPI), Vegetation Health (VHI) enhance understanding hazard Yellow River Basin (YRB), China. Drought events, duration, magnitude, intensity, interval were identified these time series via run theory percentile thresholds. The relationships between SD, examined by cross-correlating SPEI, SMAPI, VHI. Finally, effects climate grid properties on characteristics investigated. results showed that upland had a low risk for all droughts, while midland MD high lowland YRB. For full-time data, strongest correlations shortest lags, weakest longest lags SD VD. However, seasonality multi-threshold extreme dominated monthly summer, other seasons 0–30th stronger shorter Meteorology correlation with than land use. These findings provide valuable insights enhancing aspects

Language: Английский

Citations

10
Nonlinear response and driving mechanisms of ecological restoration project effectiveness to drought DOI Creative Commons
Xin Liu, Qi Wang, Xiaoyu Zhu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113055 - 113055

Published: Jan. 1, 2025

Language: Английский

Citations

1
Soil drought thresholds of alpine grassland deceased rapidly under the influence of extreme low temperature in northeastern Qinghai-Tibet Plateau DOI Creative Commons
Yuxin Wang,

Yu Du,

Wenzhi Zhao

et al.

Ecological Processes, Journal Year: 2025, Volume and Issue: 14(1)

Published: Feb. 24, 2025

Abstract Background Droughts likely lead to the decrease of vegetation coverage and plant productivity. Due climate change, more extreme climatic events, including soil droughts temperatures, may occur both independently simultaneously. Therefore, it is important understand thresholds drought in order avoid various undesired transitions alpine grassland. Methods Soil were identified based on change moisture, decline events by abnormal normalized difference index (NDVI). Three two curves responses illustrated tipping points that reflected rapid loss ecosystem resistance (T p1 ), complete p2 ) amplified magnitude NDVI m ). The influences legacy effects temperatures also considered. Results Alpine grasslands northeastern Qinghai-Tibet Plateau had mean T , 1.25, 1.98 1.93, respectively, indicating low high vulnerability. was for most study area, varied with elevation types. Besides occurrence coupled extremely decreased 36% nearly all 30% . Different grassland types showed varying droughts, sparse having lowest wetland highest. However, according did not show obvious differences. Conclusions sensitive intensified drought. identification advances understanding how responds helps restoration when faced benefits adaptation.

Language: Английский

Citations

1
Disentangling the dominance of atmospheric and soil water stress on vegetation productivity in global drylands DOI

Jiahe Yu,

Weiguang Wang, Zefeng Chen

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133043 - 133043

Published: March 1, 2025

Language: Английский

Citations

1
Threshold of climate extremes that impact vegetation productivity over the Tibetan Plateau DOI

Zhenggang Piao,

Xiangyi Li, Hao Xu

et al.

Science China Earth Sciences, Journal Year: 2024, Volume and Issue: 67(6), P. 1967 - 1977

Published: March 6, 2024

Language: Английский

Citations

7
Precipitation exacerbates spatial heterogeneity in the propagation time of meteorological drought to soil drought with increasing soil depth DOI Creative Commons
Chen Hu, Jun Xia, Dunxian She

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(6), P. 064021 - 064021

Published: May 9, 2024

Abstract The propagation of meteorological droughts to soil poses a substantial threat water resources, agricultural production, and social systems. Understanding drought process is crucial for early warning mitigation, but mechanisms the from drought, particularly at varying depths, remain insufficiently understood. Here, we employ maximum correlation coefficient method random forest (RF) model investigate spatiotemporal patterns drivers time (PT) four different depths across China 1980 2018. Our findings reveal consistently higher PT in northern lower southern with more pronounced spatial heterogeneity increasing depth. Furthermore, identify temperature precipitation as determinants surface deeper layers, respectively. Additionally, emerges dominant factor influencing changes between layers. study highlights discernible shift depth increases significant impact on exacerbating PT. This contributes an enhanced comprehension which can aid establishing practical mitigation measures

Language: Английский

Citations

6