文献类型： 外文期刊

作者： Liu, Miao ¹ ; Yang, Guijun ¹ ; Yuan, Wenping ³ ; Li, Zhenhong ¹ ; Gao, Meiling ¹ ; Yang, Yun ¹ ; Long, Huiling ² ; Meng, Yang ² ; Li, Changchun ⁴ ; Hu, Haitang ² ; Li, Heli ² ; Yuan, Zhanliang ⁴ ;

作者机构： 1.Changan Univ, Coll Geol Engn & Geomatics, Xian 710054, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Key Lab Quantitat Remote Sensing Agr, Minist Agr & Rural Affairs, Beijing 100097, Peoples R China

3.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai Key Lab Dynam Urban Climate & Ecol, Zhuhai 510245, Guangdong, Peoples R China

4.Henan Polytech Univ, Res Inst Quantitat Remote Sensing & Smart Agr, Sch Surveying & Mapping Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China

5.Nanjing Agr Univ, Collaborat Innovat Ctr Modern Crop Prod Cosponsore, Nanjing 210095, Jiangsu, Peoples R China

关键词： Vapor pressure deficit (VPD); Aridity index (AI); EVI; NIRv; Vegetation; Sensitivity

期刊名称：ECOLOGICAL INDICATORS （ 影响因子：7.0； 五年影响因子：6.6 ）

ISSN： 1470-160X

年卷期： 2024 年 161 卷

页码：

收录情况： SCI

摘要： 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), Grasslands (GL), and Croplands (CL) types, while the negative sensitivities are larger for Shrublands (SL) and Savannas (SA) types. Under different climatic zones, the sensitivity of CL and GL are independent of climatic zones (both showing positive), while the sensitivity of SL is negative in the Humid zone and positive in the Semi-Arid zone. Temporally, the sensitivity showed a slow increasing trend over the last 20 years. In terms of vegetation types, sensitivities of Evergreen Broadleaf Forests (EBF), DBF, GL and CL types showed a significant increasing trend (p < 0.05), except for the SL type, which showed a significant decreasing trend (p < 0.05). The trends of sensitivity are not affected by the differences in vegetation types (all of them show an increasing trend) under arid and semi-arid conditions, while dry sub-humid and humid have a greater impact on sensitivity trends. The finding of an overall increase in sensitivity suggests a mechanism of erratic change in vegetation growth under climate change. Notably, the increased sensitivity of certain vegetation types (especially GL and CL) suggests that these may become progressively vulnerable to increased VPD as global climate change persists, with the risk of moving from facilitation to inhibition of photosynthesis.