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生态系统服务价值时空分异及驱动因子分析 ——以长株潭生态绿心地区为例

摘要: 摘要:文章基于长株潭生态绿心地区近20年的土地利用数据,应用GIS空间分析和地理探测器,核算历年生态系统服务价值(ESV),定量探讨绿心地区生态系统服务价值时空分布变化特征,并分析ESV变化的主要驱动因子。结果表明:①林地是影响绿心地区生态系统服务价值变化的主要土地类型。②2000—2020年,受政策调控措施的影响,绿心地区生态系统服务总价值呈先下降再缓慢增长的波动趋势。③长株潭生态绿心地区ESV呈现中部、东部及南部区域价值高,西部、北部价值较低的空间分布特征,其中石燕湖森林公园、九郎山森林公园、昭山森林公园为最高值分布区域,靠近长株潭三市主城区的城乡结合区域为最低值分布区域。④地理探测器的深入剖析揭示,绿心地区生态系统服务价值(ESV)的空间分布差异是区域自然、经济、社会三类因素交织影响的综合体现,其中自然类因素的影响贡献值最大。 

Abstract: Abstract: Based on the land use data of the Changsha-Zhuzhou-Xiangtan ecological green heart area in the past 20 years, this paper applies GIS spatial analysis and geographical detectors to calculate the ecosystem service value (ESV) of each year, quantitatively explores the spatio-temporal distribution variation characteristics of the ecosystem service value in the ecological green heart area, and analyzes the main driving factors of ESV changes. The results show that: ① Forestland constituted the dominant land-use type that affects the changes in the value of ecosystem services in the green heart area. ② From 2000 to 2020, affected by policy-driven regulation measures, the total value of ecosystem services in the green heart area showed a fluctuating trend of first declining and then slowly growing. ③ The ESV in the ecological green heart area of Changsha-Zhuzhou-Xiangtan shows a spatial distribution feature of high regional value in the central, eastern and southern regions and relatively low value in the western and northern regions. Specifically, Shiyan Lake Forest Park, Jiulangshan Forest Park and Zhaoshan Forest Park are the areas with the highest value distribution, while the urban-rural fringe areas close to the main urban areas of the three cities of Changsha-Zhuzhou-Xiangtan are the areas with the lowest value distribution. ④ In-depth analysis by geographical detectors reveals that the spatial distribution differences of ESV in the green heart area are a comprehensive manifestation of the interwoven influence of three types of regional natural, economic and social factors, among which the contribution value of natural factors is the greatest.

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[V1] 2025-05-28 11:09:19 PSSXiv:202505.02821V1 下载全文
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