Faculty of Geography, Yunnan Normal University, Kunming, 650500, China.
GIS Technology Engineering Research Centre for West-China Resources and Environment of Education-Al Ministry, Kunming, 650500, China.
Environ Sci Pollut Res Int. 2022 Nov;29(54):81520-81545. doi: 10.1007/s11356-022-21421-5. Epub 2022 Jun 22.
In the traditional construction of ecological security pattern, the minimum cost path is extracted as the ecological corridor based on the minimum cumulative resistance model, and the ecological nodes are identified manually. This method lacks the consideration of the exchange process of energy flow and information flow in the ecological process, resulting in a certain lack of ecological security pattern in structure and function. Therefore, an ecological security pattern construction method integrating CVOR-GWLR-Circuit model is proposed to solve the above problems by transforming natural background data into localized correction variables and adding them to the ecological security pattern evaluation model. Taking Yunnan Province as an example, firstly, the ecological security evaluation system of "Contribution, Vigor, Organization, Resilience" (CVOR) is constructed based on the importance of ecosystem services and ecosystem health, and the ecological security of Yunnan Province in 2020 is evaluated, and the ecological source areas are identified combined with nature reserves. Then, the ecological resistance surface was constructed by considering land use data and topographic factors, and the landslide sensitivity evaluation model was constructed based on geographically weighted logistic regression model (GWLR) to correct the basic resistance surface. Finally, the circuit theory model is used to extract the ecological corridor and construct the ecological security pattern in Yunnan Province. The ecological pinch points and barriers in the ecological corridor are diagnosed by the current density, so as to identify the width of the ecological corridor and identify the key areas of ecological protection and restoration. The results showed that the ecological sources area of Yunnan Province was about 69,417.78 km, accounting for 17.6% of the total area of the study area, mainly distributed in Dehong Prefecture, southwest Yunnan, Diqing Prefecture and Nujiang Prefecture in northwest Yunnan. A total of 780 ecological corridors were generated between the ecological sources, with a total length of about 197,598.2 km, an average length of 253.3 km, and the longest path length of 932.1 km. The ecological corridors are "spider web", linking southwest, northwest, northeast, central and southeast Yunnan Province. 36 ecological pinch points and 42 ecological barriers were identified. The research results verify that the ecological security pattern constructed by integrated CVOR-GWLR-Circuit model is more reasonable, which can provide scientific basis for regional ecological protection planning and ecological corridors design.
在传统的生态安全格局构建中，基于最小累积阻力模型提取最小成本路径作为生态廊道，并手动识别生态节点。这种方法缺乏对生态过程中能量流和信息流交换过程的考虑，导致生态安全格局在结构和功能上存在一定的不足。因此，提出了一种集成 CVOR-GWLR-Circuit 模型的生态安全格局构建方法，通过将自然背景数据转换为局部化修正变量并将其添加到生态安全格局评价模型中，来解决上述问题。以云南省为例，首先，基于生态系统服务和生态健康的重要性，构建了“贡献、活力、组织、恢复力”（CVOR）的生态安全评价体系，并结合自然保护区对 2020 年云南省的生态安全进行了评价，识别出生态源区。然后，考虑土地利用数据和地形因素构建生态阻力面，基于地理加权逻辑回归模型（GWLR）构建滑坡敏感性评价模型对基础阻力面进行修正。最后，利用电路理论模型提取生态廊道，构建云南省生态安全格局。通过电流密度诊断生态廊道中的生态瓶颈和障碍，确定生态廊道的宽度，识别生态保护和修复的关键区域。结果表明，云南省的生态源区约为 69417.78km，占研究区总面积的 17.6%，主要分布在德宏州、滇西南、迪庆州和怒江州的滇西北。生态源区之间共生成 780 条生态廊道，总长度约为 197598.2km，平均长度为 253.3km，最长路径长度为 932.1km。生态廊道呈“蛛网”状，连接滇西南、滇西北、滇东北、滇中、滇东南。识别出 36 个生态瓶颈点和 42 个生态障碍点。研究结果验证了集成 CVOR-GWLR-Circuit 模型构建的生态安全格局更加合理，可为区域生态保护规划和生态廊道设计提供科学依据。
