| 高度城镇化地区生态系统服务价值的多尺度演变格局及其机制：以苏州市为例 |
| 摘要点击 1382 全文点击 48 投稿时间：2024-11-28 修订日期：2025-02-26 |
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| 中文关键词 生态系统服务价值（ESV） 多尺度 影响机制 时空地理加权回归（GTWR） 苏州市 |
| 英文关键词 ecosystem service value （ESV） multi-scale impact mechanism spatio-temporal geographically weighted regression（GTWR） Suzhou City |
| DOI 10.13227/j.hjkx.202411318 |
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| 中文摘要 |
| 探明生态系统服务价值（ESV）多尺度演化特征及其内在机制，是跨尺度生态安全格局构建的基础. 基于NDVI和POPD等多源数据，结合时空地理加权回归等方法，构建多尺度研究框架，系统揭示2000~2020年苏州市ESV的时空演变格局及其影响机制. 结果表明：①ESV呈“W型”波动变化，整体小幅下降，在各格网尺度内空间聚集均较为突出，且随格网尺度增大呈减弱趋势；②自然和社会因素作用力随时间变化趋强，景观格局因素作用波动变化，其中自然因素NPP作用力在各尺度始终占主导；③各影响因素作用力的空间分布随尺度增大由极化转向均衡，且变化幅度趋弱. 相关规律可深化ESV多尺度影响机制理论，可为优化多层级区域生态系统结构和制定多尺度生态系统管理决策提供科学依据. |
| 英文摘要 |
| Exploring the multi-scale evolution characteristics of ecosystem service value （ESV） and its intrinsic mechanism is the basis for the construction of cross-scale ecological security pattern. Based on multi-source data such as NDVI and POPD， combined with spatio-temporal geographically weighted regression and other methods， a multi-scale research framework was constructed to systematically reveal the spatial and temporal evolution of ESV and its influence mechanisms from 2000 to 2020 in Suzhou City. The results showed that： ① ESV showed “W-shaped” fluctuating changes， a small overall decline， a more prominent spatial aggregation at each grid scale， and a weakening trend in the increase at the grid scale. ② The natural and social factors tended to be stronger over time， and the role of landscape pattern factors fluctuating changed， of which the natural factor NPP force in each scale was always dominant. ③ The spatial distribution of the influence of factors showed an increase in scale from polarization to equilibrium， and the magnitude of change was weakening. The force of natural and social factors tended to be stronger with time， and the role of landscape pattern factors fluctuated， of which the force of natural factors NPP always dominated at all scales. The correlation law can deepen the theory of ESV multiscale impact mechanism， which can provide scientific basis for optimizing the structure of multilevel regional ecosystems and formulating multiscale ecosystem management decisions. |
