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Author:

Guan, S. (Guan, S..) | Jiang, Y. (Jiang, Y..) | Li, K. (Li, K..) | Wang, B. (Wang, B..) | Ji, L. (Ji, L..) | Xie, Y. (Xie, Y..)

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Scopus

Abstract:

County-level units play a pivotal role in harmonising economic activities with ecological and environmental conservation efforts. Analysing the NDVI at the county level yields precise data for guiding regional environmental conservation initiatives and fostering sustainable development. In this study, an integrated spatiotemporal NDVI change assessment model was proposed for vegetation cover evolution analysis and driving factor quantification under a county-level perspective combined with the Sen and Mann-Kendall test, OPGD, and MGWR. This model was applied to a case study in Shandong Province, China, covering 137 counties from 2000 to 2020. The results reveal a general decline in vegetation NDVI between 2000 to 2020, with only 13% of the whole area in central and northern regions showing an increasing trend. The key elements driving the shift in NDVI were evaporation, land use/cover, and net primary productivity. The vegetation became increasingly reliant on both human activities and natural influences. These findings improve our understanding of the connection between the environment and vegetation in the study area and constitute a crucial guide for managing regional ecosystems. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

optimal parameter-based geographical detectors NDVI change a county-level perspective multi-scale geographically weighted regression

Author Community:

  • [ 1 ] [Guan S.]Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, China
  • [ 2 ] [Jiang Y.]School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
  • [ 3 ] [Li K.]State Grid Binzhou Zhanhua Power Supply Company, Binzhou, China
  • [ 4 ] [Wang B.]Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, China
  • [ 5 ] [Ji L.]School of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 6 ] [Xie Y.]Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, China

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Source :

International Journal of Image and Data Fusion

ISSN: 1947-9832

Year: 2024

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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