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基于景观格局的石林彝族自治县景观生态风险评价

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基于石林彝族自治县 2000-2020 年遥感影像,利用ENVI、ArcGIS以及Fragstats4 景观分析软件对研究区景观结构的组成及转变进行量化处理,建立石林县生态风险评价体系.结果表明:1)耕地占石林县总面积的 50%以上,2000-2020 年耕地面积减少 27.51 km2,不透水面面积增加 41.60 km2,林地、草地面积变化不活跃,但在 2010-2020 年呈下降趋势.2)20 年间石林县综合生态风险变化较为剧烈,风险指数在2010 年达到峰值(0.312 9),其中水体景观作为高危风险景观,其指数在 2010 年高达 2.379 3;耕地作为石林县对景观生态影响最大的因子,其贡献权重高达 52%.3)由于强烈的人类活动,研究区以高生态风险区为主,占研究区总面积的 66.5%.总之,整个研究期间,石林彝族自治县的生态环境呈现局部改善和部分退化并存的状态,景观生态安全呈现较好的趋势,建议从调节当地产业结构入手,针对不同风险区制定相应措施,妥善处理生态保护与经济建设之间的关系.
Ecological Risk Assessment of Landscapes in Shilin Yi Autonomous County Based on Landscape Pattern
Based on remote sensing images of Shilin Yi Autonomous County from 2000 to 2020,the composition and transformation of landscape structure in the study area are quantified using ENVI,ArcGIS and Frastats4 landscape analysis software to establish an ecological risk evaluation system.The results show:1)Arable land accounts for more than 50%of the total land area of Shilin.Arable land decreased in area by 27.51 km2,and impervious surface increased by 41.60 km2 from 2000 to 2020,while the area of forests and grasslands have a slight change,but showing a decreasing trend in 2010-2000;2)The comprehensive ecological risk in Shilin had changed dramatically during the 20 years,and the risk index reached the peak at 0.312 9 in 2010.The index of water landscape which is a high-risk landscape was as high as 2.379 3 in 2010,and arable land,with the greatest ecological impact on the landscape in Shilin,contributed as high as 52%to the weight;and 3)The study area is dominated by high ecological risk areas due to frequent human activities,which accounts for 66.5%of the total area of the study area.To sum up,the ecological environment of Shilin showed a trend of improvement-degradation coexistence with better landscape ecological security throughout the study period.It is suggested that the relationship between ecological protection and economic development should be properly settled through regulating the local industrial structure and formulating corresponding measures for different risk areas.

land usespatial and temporal evolutionlandscape patternecological riskspatial auto-correlation analysis

苗雪、金京、冷从斌、陈鑫、可凯勒、彭建松

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西南林业大学园林园艺学院 昆明 650224

西南林业大学林学院 昆明 650224

国家林业和草原局西南调查规划院 昆明 650031

土地利用 时空演化 景观格局 生态风险 空间自相关分析

云南省森林城市发展规划项目(2020-2035)云南省高校质量工程项目

1863112515006056

2024

中国城市林业
中国林业科学研究院

中国城市林业

影响因子:0.467
ISSN:1672-4925
年,卷(期):2024.22(1)
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