基于MSPA-InVEST模型的长株潭城市群生态网络演变研究

李嘉程; 李晟; 郑卫民; 吴博; 康春吉

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (10) : 5769-5783.

环境生态

基于MSPA-InVEST模型的长株潭城市群生态网络演变研究

李嘉程¹, 李晟^1,2, 郑卫民^1,2, 吴博^1,2, 康春吉¹

作者信息 +

Evolution of ecologicalnetworks in the Chang-Zhu-Tan Urban Agglomeration: An MSPA-InVESTmodel-based approach

LI Jia-cheng¹, LI Sheng^1,2, ZHENG Wei-min^1,2, WU Bo^1,2, KANG Chun-ji¹

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文章历史 +

摘要

以长株潭城市群为研究区域,融合MSPA的景观空间结构解析优势与InVEST的生态系统服务功能量化评估能力开展城市群生态网络演变分析,对于保护区域生态安全具有重要价值.首先,基于2000年、2010年和2020年3期时序数据,在测算产水服务、固碳存储、土壤保持和生境质量这4项生态系统服务功能水平的基础上,结合形态学空间格局分析识别长株潭城市群生态源地;进而,借助电路理论提取生态廊道,构建长株潭城市群区域生态网络,分析其时空演变特征.结果表明:生态源地在2000~2020年呈现规模持续扩展的动态特征,覆盖面积从5855.53km²增长至5898.43km²,其空间分布密度呈现“东-南部高集聚、中部低密度”的显著异质性特征;生态廊道由2000年的119条减少到2020年的114条,长度由1604.16km上升至1689.22km后波动下降至1573.28km,空间上呈现出中疏外密的特征;生态夹点及屏障修复区在空间分布上高度集中于廊道邻近区域,其中,生态夹点呈先增后降的趋势,而生态障碍点呈持续扩张的趋势.

Abstract

This study focuses on the Chang-Zhu-Tanurban agglomeration as the research area. It integrates the analytical strengths of Morphological Spatial Pattern Analysis (MSPA) in landscape spatial structure with the quantitative assessment capabilities of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model for ecosystem service functions to analyze the evolution of the urban agglomeration's ecological network, which holds significant value for safeguarding regional ecological security. Firstly, based on time-series data from three periods (2000, 2010, and 2020), ecological sources within the Chang-Zhu-Tan urban agglomeration were identified. This involved calculating the levels of four key ecosystem service functions-water yield, carbonstorage, soil retention, and habitat quality-and combining these results with MSPA.Subsequently,ecological corridors were extracted using circuit theory to construct the regional ecological network of the Chang-Zhu-Tan urban agglomeration,and its spatiotemporal evolution characteristics were analyzed.The results indicate that:Ecological sources exhibited a continuous expansion trend in scale from 2000 to 2020, with their coverage area increasing from 5855.53km² to 5898.43km². Their spatial distribution density displayed significant heterogeneity, characterized by "high aggregation in the eastern and southern regions and low density in the central region". The number of ecological corridors decreased from 119 in 2000 to 114 in 2020. The total corridor length initially increased from 1604.16km to 1689.22km, then fluctuated and decreased to 1573.28km.Spatially, the corridors exhibited a pattern of "sparser in the center and denser on the periphery". Ecological pinch points (critical areas) and barrier restoration areas were highly concentrated spatially near the corridors. Among these,the number of ecological pinch points showed a trend of initial increase followed by decrease,while ecological barrier points exhibited a continuous expansion trend.

导出引用

李嘉程, 李晟, 郑卫民, 吴博, 康春吉. 基于MSPA-InVEST模型的长株潭城市群生态网络演变研究[J]. 中国环境科学. 2025, 45(10): 5769-5783

LI Jia-cheng, LI Sheng, ZHENG Wei-min, WU Bo, KANG Chun-ji. Evolution of ecologicalnetworks in the Chang-Zhu-Tan Urban Agglomeration: An MSPA-InVESTmodel-based approach[J]. China Environmental Science. 2025, 45(10): 5769-5783

中图分类号： X171.1

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