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基于生态系统生产总值（GEP）评价的中国县级区域生态产品价值空间格局研究。

A Study on the Spatial Pattern of the Ecological Product Value of China's County-Level Regions Based on GEP Evaluation.

机构信息

Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China.

Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 11;20(4):3181. doi: 10.3390/ijerph20043181.

DOI:10.3390/ijerph20043181
PMID:36833876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9962705/
Abstract

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.

摘要

总生态系统生产总值（GEP）是一个利用地理空间技术反映生态产品价值的概念。它可以展示生态产品的空间分布，并为空间规划提供新的视角和更精细的支持。中国的县级区域是推动生态产品价值的重要单位。基于 GEP 的概念，本研究评估了 2020 年中国县级区域的生态产品价值，利用空间自相关局部指标（LISA）可视化空间格局，并对 GEP 指数与经济和土地利用因素进行了相关性分析。研究发现，评价和分析结果的空间分布存在差异：（1）提供服务指数较高的县级区域集中在中国东北地区和东南地区；（2）调节服务指数较高的县级区域集中在长江以南和青藏高原南部地区；（3）文化服务指数较高的县级区域集中在中国东南部；（4）综合 GEP 指数较高的县级区域集中在中国东北地区。结果与不同因素的相关性不同，反映了生态价值转化背后的复杂机制。例如，一个地区的综合 GEP 指数与该地区的林地面积、水域面积和 GDP 比例呈强正相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/b6076209125c/ijerph-20-03181-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/a86e664d603b/ijerph-20-03181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/6341874788bf/ijerph-20-03181-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/949276cc40e6/ijerph-20-03181-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/c953acf02e5e/ijerph-20-03181-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/360070c56c61/ijerph-20-03181-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/af027f0aecaf/ijerph-20-03181-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/fc13b7cf3e30/ijerph-20-03181-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/d4569ba72652/ijerph-20-03181-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/6423633cbebd/ijerph-20-03181-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/b6076209125c/ijerph-20-03181-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/a86e664d603b/ijerph-20-03181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/6341874788bf/ijerph-20-03181-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/949276cc40e6/ijerph-20-03181-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/c953acf02e5e/ijerph-20-03181-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/360070c56c61/ijerph-20-03181-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/af027f0aecaf/ijerph-20-03181-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/fc13b7cf3e30/ijerph-20-03181-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/d4569ba72652/ijerph-20-03181-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/6423633cbebd/ijerph-20-03181-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f12/9962705/b6076209125c/ijerph-20-03181-g010.jpg

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本文引用的文献

1
Gross economic-ecological product accounting of Fuzhou City, China.中国福州市总经济-生态产品核算。
Ying Yong Sheng Tai Xue Bao. 2021 Nov 15;32(11):3793-3804. doi: 10.13287/j.1001-9332.202111.015.
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Integr Environ Assess Manag. 2020 Sep;16(5):773-787. doi: 10.1002/ieam.4287. Epub 2020 Jun 26.
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Progress in natural capital accounting for ecosystems.
生态系统自然资本核算的进展。
Science. 2020 Jan 31;367(6477):514-515. doi: 10.1126/science.aaz8901.