Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE.
Center of gravity migration analysis
Fractional vegetation cover (FVC)
Geographic detector
Spatiotemporal change
Trend analysis
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
07 Aug 2023
07 Aug 2023
Historique:
received:
28
03
2023
accepted:
29
07
2023
medline:
8
8
2023
pubmed:
7
8
2023
entrez:
7
8
2023
Statut:
epublish
Résumé
Economic development has rapidly progressed since the implementation of reform and opening up policies, posing significant challenges to sustainable development, especially to vegetation, which plays a crucial role in maintaining ecosystem service functions and promoting green low-carbon transformations. In this study, we estimated the fractional vegetation cover (FVC) in Shandong Province from 2000 to 2020 using the Google Earth Engine (GEE) platform. The spatial and temporal changes in FVC were analyzed using gravity center migration analysis, trend analysis, and geographic detector, and the vegetation changes of different land use types were analyzed to reveal the internal driving mechanism of FVC changes. Our results indicate that vegetation cover in Shandong Province was in good condition during the period 2000 to 2020. The high vegetation cover classes dominated, and overall changes were relatively small, with the center of gravity of vegetation cover generally shifting towards the southwest. Land use type, soil type, population density, and GDP factors had the most significant impact on vegetation cover change in Shandong Province. The interaction of these factors enhanced the effect on vegetation cover change, with land use type and soil type having the highest degree of influence. The observational results of this study can provide data support for the policy makers to formulate new ecological restoration strategies, and the findings would help facilitate the sustainability management of regional ecosystem and natural resource planning.
Identifiants
pubmed: 37548802
doi: 10.1007/s10661-023-11650-7
pii: 10.1007/s10661-023-11650-7
doi:
Substances chimiques
Soil
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1023Subventions
Organisme : National Natural Science Foundation of China
ID : 42201077 and 42177453
Organisme : Natural Science Foundation of Shandong Province
ID : ZR2021QD074
Organisme : the MOE Layout Foundation of Humanities and Social Sciences
ID : 17YJAZH013
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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