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西双版纳土地利用变化及生态风险评价(2000-2020年)

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以西双版纳区域为研究对象,基于 2000、2010 和 2020 年的GlobeLand 30 土地利用数据分析该区域近20 年土地利用动态变化特征,利用GIS网格法将研究区域划分为若干评价单元,进一步构建景观生态风险评价模型,对西双版纳区域景观生态风险进行综合评价;利用空间自相关方法分析研究区域景观生态风险的空间分异特征.结果表明:西双版纳区域土地利用类型以林地为主,占区域总面积的60%以上,其次为耕地,占总面积的 25%以上,近 20 年土地利用变化显著,主要表现为林地向耕地和人工地表转化;景观生态风险指数空间分布上呈正相关关系,空间聚集特征主要表现为高-高聚集和低-低聚集;2000-2020 年景观生态低风险区域占比显著下降,较高风险区域占比呈显著上升趋势,且空间上较高风险区域不断向东南方向扩张,高风险区及较高风险区主要位于勐海县和景洪县.
Change of Land Use and Ecological Landscape Risk Assessment in Xishuangbanna from 2000 to 2020
Taking the Xishuangbanna region as the research object,based on the GlobeLand30 land use data from 2000,2010,and 2020,the dynamic changes in land use in the region over the past two decades were analyzed.The study area was divided into several evaluation units using the GIS grid method,and a landscape ecological risk assessment model was further constructed to comprehensively evaluate the landscape ecological risk in the Xishuangbanna region;Using spatial autocorrelation metho-ds to analyze and study the spatial differentiation characteristics of regional landscape ecological risks.The results show that the land use types in the Xishuangbanna region are mainly forest land,accounting for more than 60%of the total area,followed by arable land,accounting for more than 25%of the total area.In the past two decades,there have been significant changes in land use,mainly manifested as the transformation of forest land into arable land and artificial surface;The spatial distribution of the landscape ecological risk index shows a positive spatial correlation,with spatial clustering characteristics mainly manifested as high-high clustering and low-low clustering;The proportion of low-risk areas in landscape ecology has significantly decreased from 2000 to 2020,while the proportion of high-risk areas has shown a significant upward trend,and spatially,high-risk areas continue to expand towards the southeast.High-risk and higher-risk areas are mainly located in Menghai County and Jinghong County.

Xishuangbannaland uselandscape ecological riskspatial autocorrelation

徐玉静、柴钰莹、于嘉伟、王帅民

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河北工程大学 矿业与测绘工程学院,河北 邯郸 056038

西双版纳 土地利用 景观生态风险 空间自相关

2024

河北工程大学学报(自然科学版)
河北工程大学

河北工程大学学报(自然科学版)

CSTPCD
影响因子:0.543
ISSN:1673-9469
年,卷(期):2024.41(6)