首页|期刊导航|沈阳农业大学学报|基于SRP模型的新疆土地系统生态脆弱性时空演变及驱动因素分析

基于SRP模型的新疆土地系统生态脆弱性时空演变及驱动因素分析OA

Spatio-temporal Evolution and Driving Factors Analysis of Land System Ecological Vulnerability in Xinjiang Based on SRP Model

中文摘要英文摘要

[目的]新疆是我国西北干旱区重要生态安全屏障,其土地生态系统先天脆弱且受气候变化与人类活动双重胁迫.揭示2000-2020年新疆土地生态脆弱性的时空演变规律与驱动机制,为全疆生态分区管控与生态修复工程实施提供科学依据.[方法]基于敏感性-恢复力-压力(SRP)模型构建包含13项指标的评价体系,采用层次分析法(AHP)确定指标权重,结合空间自相关与地理探测器模型,系统分析新疆土地生态脆弱性的时空分异特征及复合驱动机制.[结果]2000-2020年新疆土地生态脆弱性整体呈持续恶化趋势,综合指数由0.590升至0.616,研究期末整体进入重度脆弱状态;极度脆弱区占比从24.70%增至28.32%,成为占比最高的脆弱性等级;空间上呈"北疆低、南疆高,山区低、盆地高"的分异格局,全局Moran's I指数均大于0.32(P<0.01),空间集聚特征显著;驱动机制上,草地占比与降水为核心主导因子,本研究选取的8个因子两两交互后均表现为双因子增强效应,其中降水与耕地占比的交互作用最强(q值0.807 9~0.883 7).[结论]新疆土地生态脆弱性演变是自然本底与人类活动长期耦合作用的结果,坚持"以水定地、以水定绿"原则,严格管控耕地无序扩张,优先保护草地生态系统,是降低区域生态脆弱性的关键举措.

[Objective]Xinjiang is an important ecological security barrier in the arid region of northwest China,its land ecosystem is inherently fragile and under the dual stresses of climate change and human activities.This study aims to reveal the spatio-temporal evolution law and driving mechanism of land ecological vulnerability in Xinjiang from 2000 to 2020,to provide a scientific basis for ecological zoning management and ecological restoration project implementation across the region.[Methods]Based on the sensitivity-resilience-pressure(SRP)model,an evaluation system containing 13 indicators was constructed.The analytic hierarchy process(AHP)was adopted to determine indicator weights,and combined with spatial autocorrelation and geographical detector model,the spatio-temporal differentiation characteristics and composite driving mechanism of land ecological vulnerability in Xinjiang were systematically analyzed.[Results]From 2000 to 2020,the land ecological vulnerability in Xinjiang showed an overall continuous deterioration trend.The comprehensive index increased from 0.590 to 0.616,and the whole region entered a severe vulnerability state at the end of the study period.The proportion of extremely vulnerable areas rose from 24.70%to 28.32%,becoming the vulnerability level with the highest proportion.Spatially,it presented a differentiation pattern of"low in northern Xinjiang,high in southern Xinjiang,low in mountainous areas,and high in basins."The global Moran's Iindex was all greater than 0.32(P<0.01),indicating significant spatial agglomeration characteristics.In terms of driving mechanisms,grassland proportion and precipitation were the core dominant factors.All pairwise interactions of the 8 selected factors showed a two-factor enhancement effect,among which the interaction between precipitation and cultivated land proportion was the strongest(qvalue 0.807 9-0.883 7).[Conclusions]The evolution of land ecological vulnerability in Xinjiang is the result of long-term coupling between natural background conditions and human activities.Adhering to the principle of"determining land use and greening by water availability,"strictly controlling the disorderly expansion of cultivated land,and giving priority to protecting grassland ecosystems are the key measures to reduce regional ecological vulnerability.

刘志有;杨鸿彬;孙义;秦彧;马傲;何骅;付明月

新疆农业大学 公共管理学院(法学院),乌鲁木齐 830052新疆农业大学 公共管理学院(法学院),乌鲁木齐 830052兰州大学 畜牧科学与技术学院/草地农业生态系统国家重点实验室,兰州 730000中国科学院 西北生态环境资源研究院,兰州 730030新疆农业大学 公共管理学院(法学院),乌鲁木齐 830052新疆农业大学 公共管理学院(法学院),乌鲁木齐 830052新疆农业大学 公共管理学院(法学院),乌鲁木齐 830052

管理科学

土地生态脆弱性SRP模型空间自相关时空演变地理探测器

land ecological vulnerabilitySRP modelspatial autocorrelationspatio-temporal evolutiongeographical detector

《沈阳农业大学学报》 2026 (4)

157-170,14

新疆维吾尔自治区高校基本科研项目(XJEDU2025Z005)国家自然科学基金项目(31901393)中国科学院"西部之光"项目(xbzgl-zb2022022)

10.3969/j.issn.1000-1700.2026.04.015

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