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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE.
Dong, Hao; Liu, Yaohui; Cui, Jian; Zhu, Mingshui; Ji, Wenxin.
Affiliation
  • Dong H; School of Surveying and Geo-Informatics, Shandong Jianzhu University, No. 1000, Fengming Road, Licheng District, Jinan, 250101, China.
  • Liu Y; School of Surveying and Geo-Informatics, Shandong Jianzhu University, No. 1000, Fengming Road, Licheng District, Jinan, 250101, China.
  • Cui J; School of Surveying and Geo-Informatics, Shandong Jianzhu University, No. 1000, Fengming Road, Licheng District, Jinan, 250101, China. shanjia@sdjzu.edu.cn.
  • Zhu M; Ji'nan Institute of Survey and Investigation, Jinan, 250101, China.
  • Ji W; School of Surveying and Geo-Informatics, Shandong Jianzhu University, No. 1000, Fengming Road, Licheng District, Jinan, 250101, China.
Environ Monit Assess ; 195(9): 1023, 2023 Aug 07.
Article in En | MEDLINE | ID: mdl-37548802
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Ecosystem Country/Region as subject: Asia Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Ecosystem Country/Region as subject: Asia Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: