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author:

Shi, M. (Shi, M..) [1] | Yang, X. (Yang, X..) [2] | Qiu, J. (Qiu, J..) [3] | Luo, M. (Luo, M..) [4] | Wang, Q. (Wang, Q..) [5] | Wang, D. (Wang, D..) [6]

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Scopus

Abstract:

This study utilizes emerging hotspot analysis to explore the spatio-temporal trends of vegetation optical depth (VOD) observed in Ku, X, and C microwave bands over China from 2002 to 2017. Furthermore, it analyzes the impacts of anthropogenic activities, represented by land use change, on the spatial and temporal changes in VOD, and employs Partial Least Squares Structural Equation Model to quantitatively assess the climatic effects on VOD changes. Overall, VOD exhibits a southeast-to-northwest gradient over China, with central and southern regions identified as VOD hotspots, while Xinjiang and the central Inner Mongolia Plateau are identified as VOD cold spots. Regions with consistent emerging hotspot analysis results across the three bands demonstrate a "greening" phenomenon in sparsely-vegetated regions nationwide. Additionally, the association between land use change and emerging hotspots reveals strong impacts of human activities on VOD variations. Specifically, persistent and intensified VOD hotspots predominantly correspond to scenarios where grassland is converted to forest. Attribution of VOD changes using Partial Least Squares Structural Equation Modeling indicates that, in the humid zone, where hydrothermal conditions are favorable and soil moisture is abundant, further increases in temperature and precipitation may inhibit vegetation growth. In contrast, in the arid zone, the inhibitory effect of temperature is less prominent. In the Tibetan Plateau, increases in both temperature and precipitation will promote vegetation growth. The insights from this study are expected to provide scientific support for monitoring ecosystem changes, uncovering their driving forces, and assessing the effectiveness of ecological measures. © 2025 Science Press. All rights reserved.

Keyword:

emerging hotspot analysis Partial Least Squares Structural Equation Model vegetation optical depth

Community:

  • [ 1 ] [Shi M.]School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China
  • [ 2 ] [Yang X.]School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China
  • [ 3 ] [Qiu J.]School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China
  • [ 4 ] [Luo M.]School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China
  • [ 5 ] [Wang Q.]College of Environment and Safety Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Wang D.]School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China

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Source :

Acta Geographica Sinica

ISSN: 0375-5444

Year: 2025

Issue: 5

Volume: 80

Page: 1212-1225

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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