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A Study on the Spatial Pattern of the Ecological Product Value of China’s County-Level Regions Based on GEP Evaluation
Gross Ecosystem Product (GEP) is a concept that reflects ecological product value by using geospatial technology. It can demonstrate the spatial distribution of ecological products and provide new perspectives and refined support for spatial planning. China’s county-level regions are important units...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962705/ https://www.ncbi.nlm.nih.gov/pubmed/36833876 http://dx.doi.org/10.3390/ijerph20043181 |
Sumario: | Gross Ecosystem Product (GEP) is a concept that reflects ecological product value by using geospatial technology. It can demonstrate the spatial distribution of ecological products and provide new perspectives and refined support for spatial planning. China’s county-level regions are important units for the promotion of ecological product value. Based on the concept of GEP, this study evaluated the ecological product value of China’s county-level regions in 2020, used Local Indicators of Spatial Association (LISA) to visualise spatial patterns and conducted a correlation analysis between the GEP indices and economic and land use factors. The study found that the results of evaluation and analysis varied by spatial distribution: (1) county-level regions with high provisioning service indices are concentrated in northeastern China and southeastern China; (2) county-level regions with high regulating service indices are concentrated south of the Yangtze River and in the southern region of the Qinghai-Tibet Plateau; (3) county-level regions with high cultural service indices are concentrated in southeastern China; (4) county-level regions with high composite GEP indices are concentrated in northeastern China. The results have different correlations with different factors, reflecting the complex mechanisms behind ecological value transformation. For example, the composite GEP index for an area has a strong positive correlation with the area’s proportions of woodland area, water area and GDP. |
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