Satellite-Observed Hydrothermal Conditions Control the Effects of Soil and Atmospheric Drought on Peak Vegetation Growth on the Tibetan Plateau DOI Creative Commons

Zhengliang Qiu,

Longxiang Tang,

Xiaoyue Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(22), P. 4163 - 4163

Published: Nov. 8, 2024

Recent research has demonstrated that global warming significantly enhances peak vegetation growth on the Tibetan Plateau (TP), underscoring influence of climatic factors dynamics. Nevertheless, effects different drought types remain underexplored. This study utilized satellite-derived gross primary productivity (GPP) and normalized difference index (NDVI) to assess impacts soil moisture (SM) vapor pressure deficit (VPD) (GPPmax NDVImax) across TP from 2001 2022. Our findings indicate NDVImax GPPmax exhibited increasing trends in most regions, displaying similar spatial patterns, with 65.28% pixels showing an increase 72.98% GPPmax. In contrast, trend for SM primarily showed a decrease (80.86%), while VPD (74.75%). Through partial correlation analysis ridge regression, we found was affected by or nearly 20% areas, although magnitude these varied considerably. Furthermore, revealed hydrothermal conditions modulated responses VPD. regions annual precipitation less than 650 mm mean temperature below 10 °C, decreased increased generally inhibited growth. Conversely, warm humid lower higher promoted These are crucial deepening our understanding phenology its future climate change.

Language: Английский

Soil moisture plays an increasingly important role role in constraining vegetation productivity in China over the past two decades DOI
Guizeng Qi, Dunxian She, Jun Xia

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 356, P. 110193 - 110193

Published: Aug. 14, 2024

Language: Английский

Citations

12

Vapor pressure deficit dominates dryness stress on forest biomass carbon in China under global warming DOI
Yunfeng Cen,

Mei Tang,

Qingyuan Wang

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 364, P. 110440 - 110440

Published: Feb. 12, 2025

Language: Английский

Citations

0

Roles of Soil and Atmospheric Dryness on Terrestrial Vegetation Productivity in China ‐ Which Dominates at What Thresholds DOI Creative Commons
Tianzi Wang, Jingwen Zhang,

Zejun Li

et al.

Earth s Future, Journal Year: 2025, Volume and Issue: 13(3)

Published: March 1, 2025

Abstract Low soil moisture (SM) and high vapor pressure deficit (VPD) can reduce vegetation productivity (gross primary (GPP)) weaken terrestrial carbon stock. However, the roles of SM VPD on GPP vary widely in terms (a) which one dominates impact (dominance) (b) specific threshold values at they are activated (thresholds). This study adopted copula method to investigate dominance thresholds reduction (GPP reduction) across China from 1982 2018. The results indicate that predominantly drives 71% China's zones, with decreasing south north. Vapor dominated primarily croplands low thresholds, such as North Plain Northeast Plain. Moreover, have significant difference different ecosystems, higher (activated under wetter conditions) forests lower more humid atmospheric croplands. Compared non‐irrigated croplands, irrigation significantly increase by relieving water stress dryness. structural equation modeling further demonstrates dominant influence reduction. explicitly identified spatial distribution dryness ecosystems. It could enhance our understanding ecosystem sensitivity drought provide guidance for management

Language: Английский

Citations

0

A new high-resolution multi-drought-index dataset for mainland China DOI Creative Commons
Qi Zhang, Chiyuan Miao, Jiajia Su

et al.

Earth system science data, Journal Year: 2025, Volume and Issue: 17(3), P. 837 - 853

Published: March 5, 2025

Abstract. Drought indices are crucial for assessing and managing water scarcity agricultural risks; however, the lack of a unified data foundation in existing datasets leads to inconsistencies that challenge comparability drought indices. This study is dedicated creating CHM_Drought, an innovative comprehensive long-term meteorological dataset with spatial resolution 0.1° collected from 1961 2022 mainland China. It features six pivotal indices: standardized precipitation index (SPI), evapotranspiration (SPEI), evaporative demand (EDDI), Palmer severity (PDSI), self-calibrating (SC-PDSI), vapor pressure deficit (VPD), which SPI, SPEI, EDDI contain multi-scale periods 2 weeks 1–12 months. The application high-density station complete framework starting basic elements (the China Hydro-Meteorology dataset, CHM). Demonstrating its robustness, excels accurately capturing events across China, as evidenced by detailed depiction summer Yangtze River basin. In addition, evaluate we performed consistency tests calculated based on Climatic Research Unit (CRU) CN05.1 found all had high overall 2-week-scale potential early-warning roles monitoring. Overall, our bridges gap high-precision multi-index CHM-based ensures reliability contributes enhancing understanding patterns trends Free access can be at https://doi.org/10.5281/zenodo.14634773 (Zhang Miao, 2025).

Language: Английский

Citations

0

From Ashes to Extremes: Dynamics of Land Surface Temperature and Vapor Pressure Deficit in Post-Fire Pine Forests DOI

Susanne Rönnefarth,

Yojana Adhikari,

Florent Jouy

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Disentangling the Effects of Atmospheric and Soil Dryness on Autumn Phenology across the Northern Hemisphere DOI Creative Commons

Kangbo Dong,

Xiaoyue Wang

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3552 - 3552

Published: Sept. 24, 2024

In recent decades, drought has intensified along with continuous global warming, significantly impacting terrestrial vegetation. High atmospheric water demand, indicated by vapor pressure deficit (VPD), and insufficient soil moisture (SM) are considered the primary factors causing stress in However, influences of VPD SM on autumn phenology still unknown. Using satellite observations meteorological data, we examined impacts end growing season (EOS) across Northern Hemisphere (>30°N) from 1982 to 2022. We found that were as important temperature, precipitation, radiation controlling variations EOS. Moreover, EOS was predominantly influenced or more than one-third (33.8%) study area. particular, a ridge regression analysis sensitive other climatic factors, 25% pixels showing highest sensitivity VPD. addition, effects varied among biome types climate zones. advanced 25.8% temperate grasslands, while had greatest impact advancing 17.7% coniferous forests. Additionally, 27.7% midlatitude steppe (BSk) exhibited significant negative correlation between EOS, 19.4% marine west coast (Cfb) showed positive also demonstrated linearly affected leaf area index, SM, index. Our highlights importance regulating enhances our understanding ecosystem responses change.

Language: Английский

Citations

0

Satellite-Observed Hydrothermal Conditions Control the Effects of Soil and Atmospheric Drought on Peak Vegetation Growth on the Tibetan Plateau DOI Creative Commons

Zhengliang Qiu,

Longxiang Tang,

Xiaoyue Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(22), P. 4163 - 4163

Published: Nov. 8, 2024

Recent research has demonstrated that global warming significantly enhances peak vegetation growth on the Tibetan Plateau (TP), underscoring influence of climatic factors dynamics. Nevertheless, effects different drought types remain underexplored. This study utilized satellite-derived gross primary productivity (GPP) and normalized difference index (NDVI) to assess impacts soil moisture (SM) vapor pressure deficit (VPD) (GPPmax NDVImax) across TP from 2001 2022. Our findings indicate NDVImax GPPmax exhibited increasing trends in most regions, displaying similar spatial patterns, with 65.28% pixels showing an increase 72.98% GPPmax. In contrast, trend for SM primarily showed a decrease (80.86%), while VPD (74.75%). Through partial correlation analysis ridge regression, we found was affected by or nearly 20% areas, although magnitude these varied considerably. Furthermore, revealed hydrothermal conditions modulated responses VPD. regions annual precipitation less than 650 mm mean temperature below 10 °C, decreased increased generally inhibited growth. Conversely, warm humid lower higher promoted These are crucial deepening our understanding phenology its future climate change.

Language: Английский

Citations

0