Overridingly increasing vegetation sensitivity to vapor pressure deficit over the recent two decades in China

作者：Miao Liu, Guijun Yang, Wenping Yuan, Zhenhong Li, Meiling Gao, Yun Yang, Huiling Long, Meng Yang, Changchun Li, Haitang Hu, Heli Li, Zhanliang Yuan · 发表于：Ecological Indicators · 年份：2024 · DOI：10.1016/j.ecolind.2024.111977 · 被引用次数：24 · 研究领域：Plant Water Relations and Carbon Dynamics、Climate variability and models、Tree-ring climate responses

Vapor pressure deficit (VPD) shows significant spatial and temporal variability in the context of global climate change, which is important for studying the implications of climate change on the structure and function of ecosystems to analyze the effects of VPD on vegetation dynamics. Spatial patterns of vegetation sensitivity to VPD have been recently investigated, however, the feedback of different vegetation types to VPD may vary depending on physiological characteristics, it is unclear how different types influence the sensitivity to VPD. In this study, the ERA5-Land reanalysis time-series dataset was used to analyze the spatial and temporal trends of VPD under different vegetation types. It was found that VPD showed an increasing trend in vegetated areas over the past 20 years with large spatial heterogeneity, generally increasing with drying conditions. On this basis, the spatial patterns of vegetation sensitivity to VPD and temporal trends in sensitivity were evaluated over the past 20 years in China using the enhanced vegetation index (EVI) and near-infrared reflectance of vegetation (NIRv) which can describe vegetation dynamics. The results show that the sensitivities under the two indices have high spatial consistency, with northeastern and central China showing positive sensitivities and southern China showing negative sensitivities, respectively. The positive sensitivities are relatively high for Deciduous Broadleaf Forests (DBF), Deciduous Needleleaf Forests (DNF...