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doi:10.12357/cjea.20230115 邹桃红, 基于ahp-pca熵权组合模型的吉林省生态环境脆弱性动态评价[j]. 中国生态农业学报 (中英文), 2023, 31(9): 15111524 zou eco-environmentalvulnerability jilinprovince based ahp-pcaentropy weight model[j]. chinese journal eco-agriculture,2023, 31(9): 15111524 基于ahp-pca 熵权组合模型的吉林省生态环境脆弱 性动态评价 吉林省不仅是我国粮食主产区之一,也是东北地区重要的生态屏障和功能区, 科学掌握其生态环境脆弱性 的空间分布和时空变化特征, 对合理利用土地资源及实现区域环境保护起着重要作用。本研究参考srp (sensitiv- ity–resilience–pressure) 模型, 从地形、气候、植被覆盖、景观格局及人类活动5 个方面选取13 个评价指标, 综合 运用 ahp-pca (analytic hierarchy process-principal component analysis) 熵权模型及空间自相关方法, 分析 2000— 2020 年不同时期吉林省生态环境脆弱性的时空格局, 并探讨其空间关联关系。结果表明: 研究区生态环境以轻度以下脆弱为主, 且整体呈现明显的地域差异, 由东向西脆弱度逐渐增加, 重度脆弱区主要出现在吉林省西部平原, 在脆弱区主要出现在吉林省东部山区。2)将脆弱性指数分为5 个等级, 各等级间面积比例差异明显, 以2020 例，表现为轻度中度微度潜在重度,且轻度及以下脆弱区面积占比均达到67.9% 以上, 这表明吉林省整体处于 中等脆弱水平。3) 时间变化上, 2000 年至2020 年间, 吉林省生态环境脆弱性呈逐年向好的趋势, 重度、微度脆弱性 区域面积占比与2000 年相比分别下降2.78% 和9.20%, 轻度和中度脆弱性区域面积占比同研究初期相比分别增加 7.45% 和5.24%, 潜在脆弱性区域面积占比与2000 年基本持平。4) 2000 年研究区生态环境脆弱性指数的moran 0.2335,表明其在空间上呈集聚现象, 高聚集区主要分布在吉林省西部地区; 至2020 值增加至0.3841, 空间集聚更为显著。根据脆弱性等级的分区及其影响因素, 对不同脆弱性等级区域给出了不同生态保护建 潜在脆弱和微度脆弱区继续实行现有生态环境保护政策;轻度脆弱和中度脆弱区要坚持以黑土地资源保护为 前提进行合理的农用地资源开发; 重度脆弱性区要加大生态环境保护投入, 特别要有针对性地实施盐碱地治理等 策略。 关键词: 生态环境脆弱性; srp 模型; ahp-pca 熵权模型; 时空动态特征; 吉林省 中图分类号: x171.1 开放科学码(资源服务)标识码(osid): evaluation eco-environmentalvulnerability jilinprovince based ahp-pca entropy weight model zoutaohong changyaxuan chenpeng liujiafu geographicscience tourism,jilin normal university, siping 136000, china; environment,fujian agriculture forestryuniversity, fuzhou 350002, china) 吉林省教育厅项目(jjkh20230503kj)、国家自然科学基金项目(41977411)和四平市哲学社会科学规划项目(spsk22120) 资助 邹桃红, 主要研究方向为生态环境质量评价及资源环境遥感。e-mail: zoutaohong@yeah.net 收稿日期: 2023-03-07　接受日期: 2023-05-29 educationdepartment jilinprovince (jjkh20230503kj), nationalnatural science foundation china(41977411) sipingphilosophy socialscience project (spsk22120). corresponding author, zou taohong, e-mail: zoutaohong@yeah.net received mar. 2023;accepted may 29, 2023 中国生态农业学报 (中英文)　2023 chinesejournalofeco-agriculture,sep.2023,31(9):15111524http://www.ecoagri.ac.cn abstract: jilin province maingrain-producing area considerableecological function northeastchina. un- derstanding temporalcharacteristics ecologicalvulnerability can aid effectively managing environmental change, guiding rationaluse landresources, developingstrategies regionalenvironmental protection. based sensitivity–resilience–pressuremodel ecologicalvulnerability, comprehensiveevaluation indexes system ecologicalvulner- ability establishedfrom humanactivities naturalenvironment jilinprovince using meteorological, re- mote sensing, statisticaldata. thereafter, entropyweight model constructed analytichierarchy process princip-al component analysis temporaldynamics ecologicalvulnerability from 2000 studyarea. spatial autocorrelation analysis probespatial relationships between differentecological vulnerabil- ity levels. resultsrevealed overallenvironment lightvulnerability level studyarea; however, ecological vulnerability varied among different regions increasedgradually from east west.high vulnerability areas were mainly distributed westernregion, characterized lessrainfall lowervegetation cover, considerableglobal spatial autocorrelation high-highaggregation. potentially vulnerable areas were concentrated mountainousregions easternjilin province. ecologicalvulnerability index fivelevels potential,slight, light, moderate areaproportion variedsignificantly among different levels. taking 2020 descendingorder lightmoderateslightpotentialheavy,moreover, belowvulnerable area accounts about67.9%, jilinprovince mediumlevel ecologicalenvir- onment jilinprovince improved from 2000 2020.compared slightlyvulnerable areas 2020decreased 9.20%,respectively; whereas moderatelyvulnerable areas 5.24%,respectively. potentiallyvulnerable areas 2020were indexincreased from 0.2335 0.3841from 2000 2020,implying spatialagglomeration morepronounced,