| 基于InVEST和生态风险评估模型耦合的湿地生态风险评价——以吉林省为例 |
| Ecological Risk Assessment of Wetlands based on Coupled InVEST and Ecological Risk Assessment Models - A Case Study of Jilin Province |
| 投稿时间：2021-12-29 修订日期：2022-02-13 |
| DOI：10.15928/j.1674-3075.202112290432 |
| 中文关键词:湿地 InVEST模型 生态风险评价 风险性 水源供给 |
| 英文关键词:wetland InVEST model ecological risk evaluation riskiness water supply |
| 基金项目:黑土地保护与利用科技创新工程专项资助（XDA28110503）；美丽中国生态文明建设科技工程专项资助项目（XDA23020202）；自然资源部海岸带开发与保护重点实验室开放基金资助项目（2021CZEPK03） |
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| 中文摘要: |
| 湿地是生态系统的重要组成部分，在保护生物多样性和区域经济发展等方面发挥着不可替代的作用。基于生态系统外部危险性和内部脆弱性的生态系统评价体系，选取了21个关键评价指标，耦合InVEST产水量模型和生态风险评估模型，估算吉林省湿地生态风险指数，实现吉林省湿地生态风险空间分布特征模拟，为湿地生态保护与建设提供建议。结果表明：吉林省湿地生态风险指数从东至西呈现先升后降的趋势，各市的风险指数排序为：四平市＞辽源市＞长春市＞吉林市＞松原市＞通化市＞延边朝鲜自治州＞白山市＞白城市，高值区主要集中在西南地区，吉林省应采取更具有针对性的政策和措施，加强对较高风险地区的保护，为促进区域社会经济的发展和维护生态平衡提供有力的保障。 |
| 英文摘要: |
| Wetlands are an important part of the ecosystem and play an irreplaceable role in biodiversity protection and regional economic development. In this study, Jilin Province was selected as a case study. We estimated the water supply quantity and ecological risk index of Jilin wetlands, and simulated the spatial distribution of the ecological risks of wetlands, aiming to provide guidance for wetland protection and construction. Using data on soils, meteorology and land use type in the study area, and coupling the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) water yield model and ecological risk assessment model, 21 key evaluation indicators were used to construct an ecosystem evaluation system for assessing external dangers and internal vulnerabilities of the ecosystem. Results show that: (1) The simulation accuracy of water yield was 99.88%, and the total water yield in 2015 was 272.32×108 m3 . The spatial distribution presented a pattern of gradually decreasing water yield from southeast to northwest, with the highest yield in Yanbian Korean Autonomous Prefecture and Baishan City. The spatial distribution of water yield was not consistent with the spatial distribution pattern of economic development and physical geography but was directly proportional to precipitation and inversely proportional to temperature, GDP, population density and potential evapotranspiration. (2) The ecological risk index of wetlands in Jilin Province from east to west, initially increased and then decreased. The ecological risk index of Jilin cities in order of decreasing risk was Siping City > Liaoyuan City > Changchun City > Jilin City > Songyuan City > Tonghua City > Yanbian Korean Autonomous Prefecture > Baishan City > Baicheng City. In particular, wetlands in the southwest were at higher risk due to higher temperature, higher frequency of natural disasters, higher population density, and higher restrictions of human activities on wetlands. Therefore, Jilin Province should adopt more targeted policies and measures to strengthen protection of high-risk areas to provide a strong guarantee for promoting regional socio-economic development and maintaining ecological balance. |
| 李娟娟,李如仁,熊俊峰,吴紫静,孙子涵.2023.基于InVEST和生态风险评估模型耦合的湿地生态风险评价——以吉林省为例[J].水生态学杂志,44(6):36-44. |
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