松花江流域生态脆弱性评价及预测OA
Evaluation and prediction of ecological vulnerability in the Songhua River Basin
为应对区域生态恶化,促进人地关系和谐发展,以松花江流域为研究对象,基于敏感性-恢复力-压力值(sensitivity-resilience-pressure,SRP)模型选取11个指标因子,构建生态脆弱性评价指标体系,利用空间自相关法和地理探测器分析松花江流域生态脆弱性的空间相关性及驱动因素,并用CA-Markov模型预测2025年生态脆弱性情况.结果表明:①2005-2020年,松花江流域生态脆弱性呈现四周高、中间低的空间分布特征,微度脆弱区、轻度脆弱区和中度脆弱区面积减少,极度脆弱区面积增加;②松花江流域生态脆弱性在空间上呈正相关,高-高聚集区主要集中在流域北部、西部和东南部地区,低-低聚集区在2005-2015年主要分布于流域中部,在2020年分布于东北部;③年均降水量、坡度、人口密度和居民点干扰是松花江流域生态脆弱性的主要影响因素;④预测结果显示,与2020年相比,2025年研究区重度脆弱区和极度脆弱区面积增大,微度脆弱区和轻度脆弱区面积减少.
To cope with regional ecological degradation and promote harmonious human-environment relations,the Songhua River Basin was taken as the research object.11 indicator factors were selected to construct an ecological vulnerability evalu-ation index system based on the sensitivity-resilience-pressure(SRP)model.The spatial autocorrelation method and Geode-tector were used to analyze the spatial correlation and driving factors of ecological vulnerability in the Songhua River Basin,and the CA-Markov model was used to predict ecological vulnerability conditions for 2025.The results showed that:① From 2005 to 2020,ecological vulnerability in the Songhua River Basin exhibited a spatial distribution pattern of higher vulnera-bility in peripheral areas and lower vulnerability in the central areas,with a decrease in the areas classified as slightly vul-nerable areas,mildly vulnerable areas,and moderately vulnerabl areas,and an increase in the areas classified as extremely vulnerable areas.②Ecological vulnerability in the Songhua River Basin exhibited a positive spatial correlation,with high-high clusters predominantly concentrated in the northern,western,and southeastern regions,while low-low clusters were primarily distributed in the central basin from 2005 to 2015,and in the northeastern region in 2020.③ The annual precipita-tion,slope gradient,population density,and settlement disturbance were the primary factors influencing ecological vulner-ability in the Songhua River Basin.④ The prediction results indicated that compared to 2020,the areas classified as severely vulnerable areas and extremely vulnerable areas in the studied region will increase in 2025,while the areas classi-fied as minimally vulnerable areas and slightly vulnerable areas will decrease.
祝悦;刘家福;张柏豪;文思懿
吉林师范大学地理科学与旅游学院,吉林四平 136000吉林师范大学地理科学与旅游学院,吉林四平 136000吉林师范大学地理科学与旅游学院,吉林四平 136000吉林师范大学地理科学与旅游学院,吉林四平 136000
资源环境
松花江流域生态脆弱性指数敏感性-恢复力-压力值(SRP)模型CA-Markov模型
Songhua River Basinecological vulnerability indexsensitivity-resilience-pressure(SRP)modelCA-Markovmodel
《天津师范大学学报(自然科学版)》 2026 (1)
53-60,8
吉林省科技发展计划资助项目(YDZJ202501ZYTS492).
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