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| 基于SRP模型的安徽省生态脆弱性时空分异及其驱动机制 |
| Spatio-temporal differentiation of ecological vulnerability and its driving mechanism in Anhui Province based on SRP modeling |
| 投稿时间：2024-06-05 修订日期：2024-10-15 |
| DOI： |
| 中文关键词: 生态脆弱性 SRP模型 时空分异 地理探测器 |
| 英文关键词: Ecological fragility SRP modeling Spatiotemporal differentiation Geographic detector |
| 基金项目:安徽省高校省级自然科学研究项目-重点项目:绿色空间康养功能及其影响机制研究(2022AH050242) |
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| 中文摘要: |
| 安徽省地处长江、淮河中下游，长江三角洲腹地，是国家六个一级生态区的重要组成部分，地貌及经济发展差异性较强，生态系统功能及结构问题突出，深入研究安徽省生态脆弱性的时空分异特征并揭示其驱动机制，对区域土地资源的合理利用及生态环境的保护和管理具有重要意义。研究基于“敏感性-恢复力-压力度”模型（SRP模型），对2000-2020年安徽省的生态脆弱性进行评估，利用地理探测器探究影响生态脆弱性的各种因素。研究结果表明：（1）时间变化上，2000-2020年研究区整体为中度脆弱性，综合指数呈现出先上升后下降的趋势，于2015年达到峰值。（2）空间分布上，研究区生态脆弱性等级表现为南高北低、西高东低；2000-2010年间，沿江平原及皖南山区城市大部分由轻度或中度脆弱区恶化为重度脆弱区；2010-2020年，轻度脆弱区增多，部分重度脆弱性城市转回中度脆弱性。（3）生态脆弱性是多因素综合作用的结果，高程、干燥度、年降水量等为主要驱动因子，而人口密度、景观破碎度等因素对生态脆弱性影响较小，不同因子之间的交互作用增强了对生态脆弱性的影响。 |
| 英文摘要: |
| Anhui Province is located in the middle and lower reaches of the Yangtze River and Huai River, in the hinterland of the Yangtze River Delta. It is an important part of the six first level ecological zones in China, with strong differences in topography and economic development. The ecological system functions and structural problems are prominent. In depth research on the spatiotemporal differentiation characteristics of ecological vulnerability in Anhui Province and its driving mechanisms is of great significance for the rational utilization of regional land resources and the protection and management of the ecological environment. Based on the "Sensitivity Resilience Pressure" model (SRP model), this study evaluates the ecological vulnerability of Anhui Province from 2000 to 2020 and explores various factors that affect ecological vulnerability using geographic detectors. The research results indicate that: (1) In terms of time variation, the overall vulnerability of the study area from 2000 to 2020 was moderate, and the comprehensive index showed a trend of first increasing and then decreasing, reaching its peak in 2015. (2) In terms of spatial distribution, the ecological vulnerability level in the study area is high in the south and low in the north, and high in the west and low in the east; Between 2000 and 2010, most cities along the Yangtze River Plain and in the mountainous areas of southern Anhui deteriorated from mild or moderate vulnerable areas to severe vulnerable areas; From 2010 to 2020, the number of mildly vulnerable areas increased, and some severely vulnerable cities returned to moderate vulnerability. (3) Ecological vulnerability is the result of a combination of multiple factors, with elevation, dryness, and annual precipitation being the main driving factors, while population density, landscape fragmentation, and other factors have a relatively small impact on ecological vulnerability. The interaction between different factors enhances their impact on ecological vulnerability. |
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