Elevated CO2 concentrations contribute to a closer relationship between vegetation growth and water availability in the Northern Hemisphere mid-latitudes DOI Creative Commons
Yang Song, Yahui Guo, Shijie Li

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(8), P. 084013 - 084013

Published: July 4, 2024

Abstract The Northern Hemisphere mid-latitudes, with large human populations and terrestrial carbon sinks, have a high demand for dependence on water resources. Despite the growing interest in vegetation responses to drought under climate change this region, our understanding of changes relationship between growth availability (referred as Rvw) remains limited. Here, we aim explore Rvw its drivers mid-latitudes 1982 2015. We used satellite-derived normalized difference index (NDVI) fine-resolution Palmer severity (PDSI) proxies availability, respectively. trend analysis results showed that NDVI PDSI were asynchronous over past three decades. Moreover, analyzed spatiotemporal patterns correlation coefficient PDSI. indicated was getting closer more areas period, but there differences across ecosystems. Specifically, most croplands grasslands primarily constrained by deficit, which stronger; however, forests surplus, weaker. Furthermore, random forest regression models dominant driver NDVI-PDSI atmospheric dioxide (CO 2 ) than 45% grid cells. In addition, partial demonstrated elevated CO concentrations not only boosted through fertilizer effect also indirectly enhanced improving use efficiency. Overall, study highlights important role mediating change, implying potential link greening risk.

Language: Английский

Declining coupling between vegetation and drought over the past three decades DOI
Delong Li, Li An, Shuai Zhong

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(1)

Published: Jan. 1, 2024

Abstract Droughts have been implicated as the main driver behind recent vegetation die‐off and are projected to drive greater mortality under future climate change. Understanding coupling relationship between drought has of great global interest. Currently, is mainly evaluated by correlation coefficients or regression slopes. However, optimal timescale response drought, a key indicator reflecting sensitivity largely ignored. Here, we apply identification method examine change in over past three decades (1982–2015) with long‐term satellite‐derived Normalized Difference Vegetation Index Standardized Precipitation‐Evapotranspiration data. We find substantial increasing timescales globally, coefficient overall declines 1982 2015. This decrease vegetation–drought observed regions water deficit, although its initial relatively high. water‐surplus regions, low earlier stages, prone show an trend. The changes may be driven trend atmospheric CO 2 . Our findings highlight more pressing risk than water‐deficit which advances our understanding provides essential insights for mapping changing conditions.

Language: Английский

Citations

37
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
Compound ecological drought assessment of China using a Copula-based drought index DOI Creative Commons

Qianzuo Zhao,

Xuan Zhang, Chong Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 164, P. 112141 - 112141

Published: May 21, 2024

Meteorological droughts triggered by relative precipitation deficits would propagate through ecohydrological processes and result in comprehensive drought events terrestrial ecosystems. Drought indices indicating integrated information from perspective are essential for monitoring assessment. Considering processes, Copula modeling was utilized to develop an ecological index (ECDI) that included key elements as precipitation, actual evapotranspiration, soil moisture, gross primary production. Spatial temporal variations risk were assessed mainland China 2001 2022 based on the ECDI. The results showed (1) method suitable ECDI establishment. Over 90% of grids had RMSE values between estimated empirical joint distributions less than 0.1. (2) a reliable value 98.51%, 96.51%, 59.21% significant positive correlations with other respectively (standardized solar-induced chlorophyll fluorescence index, self-calibrated Palmer severity vegetation condition index). also satisfactory relevance consistency univariate each subregion (the correlation coefficients ranged 0.4 0.77, rates 47% 81%). (3) mitigation observed 77.94% (unused land excluded) last two decades, while intensification compound mainly located Qinghai–Tibet Plateau Southwest China. (4) composite assessment Northeast China, middle reach Yellow River Basin, Yangtze Basin hot spot areas high drought. It is expected could be indicator systems.

Language: Английский

Citations

12
Assessment of terrestrial ecosystem sensitivity to climate change in arid, semi-arid, sub-humid, and humid regions using EVI, LAI, and SIF products DOI Creative Commons
Jiahao Chen, Han Yang,

Tingyuan Jin

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111511 - 111511

Published: Jan. 1, 2024

Arid and humid ecosystems are undergoing significant changes over the past decades due to warming temperature frequent occurrence of climate extremes. Quantifying climatic vegetation sensitivity in regions with different classifications is crucial for understanding interaction mechanisms between ongoing change. However, such knowledge about spatiotemporal variations its driving factors arid still unclear. Based on this consideration, a moving-window-based Vegetation Sensitivity Index (VSI) scheme was applied Enhanced (EVI), Leaf Area (LAI), Solar-induced Chlorophyll Fluorescence (GOSIF) data evaluate terrestrial ecosystem response explore from 2003 2020. Results indicated that high VSI (>60) observed tropical rainforests central Eurasia semi-arid regions. By contrast, low (<40) typically Spatially, we found exhibited nonlinear parabolic variation along gradient aridity index but generally presented linear an upward trend Temporally, showed declining two displayed significantly increasing areas. Temperature dominant factor explain spatial globally, while precipitation mainly dominated temporal VSI. The varied across as were main drive classifications, respectively. Our results provide unique insights into future change classifications.

Language: Английский

Citations

9
The variability in sensitivity of vegetation greenness to climate change across Eurasia DOI Creative Commons
Zhipeng Wang, Jianshuang Wu, Meng Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112140 - 112140

Published: May 16, 2024

Climate change is one of dominators driving the greening vegetation worldwide, which expected to enhance land carbon sink and mitigate global warming. The sensitivity greenness climate fluctuant regulated by other environmental factors. However, drivers mechanisms behind remain unclear so far. Here, we hired long-term satellite-based index (NDVI), climatic variables, nitrogen deposition, atmospheric CO2 records investigate variations its across Eurasia. To obtain timeseries temperature (γNDVITEM) precipitation (γNDVIPRE), applied multi-regression models regressed on NDVI in each 9-year moving windows. results showed that area limited low temperatures substantially shrunk, while deficit increased during 1982–2015. Specifically, significantly decreasing γNDVITEM γNDVIPRE accounted for 29.8% 20.1%, respectively, remarkably increasing about 18.2% 24.5%, vegetated lands Declining was widely observed most biomes, including tropical subtropical moist broadleaf forests, temperate mixed coniferous croplands, deserts xeric shrublands. Substantially merely found montane grasslands shrublands, dry nonlinear regimes proved biome types. Spatially, rather than elevated factors (temperature, precipitation, radiation) jointly dominated nearly 45% 48% Eurasia respectively. Our uncovered apparent pattern changes highlighted necessity unfold underlying based plant physiology traits.

Language: Английский

Citations

9
Rising temperature increases the response time of LAI and GPP to meteorological drought in China DOI
Yu‐Fei Wang, Peng Sun, Rui Yao

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 107989 - 107989

Published: Feb. 1, 2025

Language: Английский

Citations

1
Recent Water Constraints Mediate the Dominance of Climate and Atmospheric CO2 on Vegetation Growth Across China DOI Creative Commons
Yang Song, Josep Peñuelas, Philippe Ciais

et al.

Earth s Future, Journal Year: 2024, Volume and Issue: 12(6)

Published: June 1, 2024

Abstract Multiple lines of evidence confirm a widespread increase in vegetation growth across China over the past few decades. The relationship between and water availability is thought to be becoming stronger under climate change, that is, constraints on have been increasing. However, our understanding how influenced these greening trends, especially those change‐driven ones, remains limited. Here, we conduct comprehensive evaluation recent their implications for 1982 2015. By analyzing spatiotemporal patterns availability, reveal changes hidden within an overall trend China. Further analysis demonstrates two change‐related categories, defined broadly as “climate” (e.g., air temperature, precipitation, so on) “CO 2 ” (i.e., atmospheric carbon dioxide), exerted varying levels importance regulating different constraints. With increasing constraints, proportion climate‐dominated area has significantly risen, while CO ‐dominated sharply declined. Our findings highlight can mediate dominance growth. This great potential exacerbate uncertainty surrounding current future sustainable trends.

Language: Английский

Citations

8
High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China DOI Creative Commons
Qian He,

Ming Wang,

Kai Liu

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

6
Quantitative evaluation of drought risk related to vegetation productivity in China DOI Creative Commons
Wenyan Ge, Xiuxia Li,

Mengxia Xie

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 623, P. 129877 - 129877

Published: June 28, 2023

Language: Английский

Citations

15
Spatiotemporal changes of gross primary productivity and its response to drought in the Mongolian Plateau under climate change DOI

Xuqin Zhao,

Min Luo, Fanhao Meng

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(1), P. 46 - 70

Published: Jan. 1, 2024

Language: Английский

Citations

5