| 基于MSPA-InVEST模型的重庆市生态安全格局时空演变与生态韧性评估 |
| 摘要点击 280 全文点击 7 投稿时间：2025-08-25 修订日期：2025-10-30 |
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| 中文关键词 生态系统服务 生态安全格局 InVEST模型 形态学空间格局分析（MSPA） 生态韧性 重庆市 |
| 英文关键词 ecosystem services ecological security pattern InVEST model morphological spatial pattern analysis（MSPA） ecological resilience Chongqing |
| DOI 10.13227/j.hjkx.202508254 |
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| 中文摘要 |
| 构建生态安全格局并评估生态韧性，对于提升区域生态安全水平与优化山地城市国土空间格局有重要意义. 以重庆市为例，基于InVEST模型评估产水、固碳、土壤保持和生境质量这4项生态系统服务，结合MSPA方法识别生态源地；综合考虑自然与人为因素构建阻力面，利用Linkage Mapper工具提取生态廊道并识别生态夹点，构建区域生态安全格局，并结合Fragstats和Conefor Sensinode软件评估其生态韧性. 结果表明，2000~2022年生态源地斑块数量持续增长，空间分布呈现东部集中、西部分散的格局；生态廊道总长度净增加2 717.37 km，区域整体连通性逐渐增强；生态夹点总面积时序变化呈现出“V”型趋势，空间上在渝东北秦巴山区和渝东南武陵山区形成两大高密度核心区. 2000~2022年重庆市生态源地韧性指数介于0.087 5~0.897 4之间，空间上表现为“东北高、西南低”的分布格局；生态廊道韧性指数介于0.206 7~0.769 4之间，低韧性廊道集中于渝东南武陵山区和渝东北三峡库区，高韧性廊道分布在渝东北大巴山、平行岭谷区及主城外围；生态夹点韧性指数介于0.216 9~0.783 1之间，整体呈现“低韧性主导，局部高韧性聚集”的空间格局. 研究结果为重庆市生态空间优化、生态系统稳定性和服务功能提升提供了科学依据，同时也为其他山地城市生态安全格局构建及区域生态韧性评估提供参考借鉴. |
| 英文摘要 |
| Establishing an ecological security framework and assessing ecological resilience are of great significance for enhancing regional ecological security levels and optimizing the spatial layout of mountainous urban areas. Taking Chongqing as an example， the InVEST model was used to assess four ecosystem services： water production， carbon sequestration， soil conservation， and habitat quality. The MSPA method was employed to identify ecological source areas. A resistance surface was constructed by comprehensively considering natural and human factors. The Linkage Mapper tool was utilized to extract ecological corridors and identify ecological bottlenecks， thereby constructing the regional ecological security pattern. Additionally， the Fragstats and Conefor Sensinode software were used to assess its ecological resilience. The results indicate that from 2000 to 2022， the number of ecological source patches continued to increase， with a spatial distribution characterized by concentration in the east and dispersion in the west. The total length of ecological corridors first increased and then decreased， with a net increase of 2 717.37 km， and the overall connectivity of the region gradually strengthened. The total area of ecological nodes showed a “V”-shaped trend， forming two high-density core areas in the Qinba Mountains of northeastern Chongqing and the Wuling Mountains of southeastern Chongqing. The ecological source area resilience index in Chongqing ranged from 0.087 5 to 0.897 4 between 2000 and 2022， with a spatial distribution pattern of “high in the northeast and low in the southwest.” The ecological corridor resilience index ranged from 0.206 7 to 0.769 4， with low-resilience corridors concentrated in the Wuling Mountains in southeastern Chongqing and the Three Gorges Reservoir Area in northeastern Chongqing， while high-resilience corridors were distributed in the Daba Mountains， parallel ridge and valley areas， and the outskirts of the main urban area in northeastern Chongqing. The ecological node resilience index ranged from 0.216 9 to 0.783 1， with an overall spatial pattern characterized by “low resilience dominance and localized high resilience clusters.” The research findings provide a scientific basis for optimizing ecological space， enhancing ecosystem stability， and improving ecological service functions in Chongqing and also offer reference and guidance for constructing ecological safety patterns and assessing regional ecological resilience in other mountainous cities. |
