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Assessing the impact of drought-land cover change on global vegetation greenness and productivity.
Chen, Jinlong; Shao, Zhenfeng; Huang, Xiao; Zhuang, Qingwei; Dang, Chaoya; Cai, Bowen; Zheng, Xueke; Ding, Qing.
Afiliación
  • Chen J; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
  • Shao Z; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China. Electronic address: shaozhenfeng@whu.edu.cn.
  • Huang X; Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA.
  • Zhuang Q; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
  • Dang C; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
  • Cai B; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China.
  • Zheng X; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
  • Ding Q; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
Sci Total Environ ; 852: 158499, 2022 Dec 15.
Article en En | MEDLINE | ID: mdl-36058327
ABSTRACT
Drought-land cover change (D-LCC) is considered to be an important stress factor that affects vegetation greenness and productivity (VG&P) in global terrestrial ecosystems. Understanding the effects of D-LCC on VG&P benefits the development of terrestrial ecosystem models and the prediction of ecosystem evolution. However, till today, the mechanism remains underexploited. In this study, based on the Theil-Sen median estimator and Mann-Kendall test, Hurst exponent evaluation and rescaled range analysis (R/S), Pearson and Partial correlation coefficient analyses, we explore the spatiotemporal distribution characteristics and future trends of Leaf area index (LAI), Net primary productivity (NPP), Solar-induced chlorophyll fluorescence (SIF), Standardized precipitation evapotranspiration index (SPEI), Soil moisture (SM), Land cover type (LC), and the impact mechanism of D-LCC on global VG&P. Our results provide four major insights. First, three independent satellite observations consistently indicate that the world is experiencing an increasing trend of VG&P LAI (17.69 %), NPP (20.32 %) and SIF (16.46 %). Nonetheless, productivity-reducing trends are unfolding in some tropical regions, notably the Amazon rainforest and the Congo basin. Second, from 2001 to 2020, the frequency, severity, duration, and scope of global droughts have been increasing. Third, the impact of land cover change on global VG&P is region-dependent. Finally, our results indicate that the continuous growth of VG&P in the global vegetation area is likely to become more difficult to maintain.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Sequías Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Sequías Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article