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GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China

机译:基于SPCA模型的陕北黄土高原生态脆弱性变化的GIS分析

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Changes in ecological vulnerability were analyzed for Northern Shaanxi, China using a geographic information system (GIS). An evaluation model was developed using a spatial principal component analysis (SPCA) model containing land use, soil erosion, topography, climate, vegetation and social economy variables. Using this model, an ecological vulnerability index was computed for the research region. Using natural breaks classification (NBC), the evaluation results were divided into five types: potential, slight, light, medium and heavy. The results indicate that there is greater than average optimism about the conditions of the study region, and the ecological vulnerability index (EVI) of the southern eight counties is lower than that of the northern twelve counties. From 1997 to 2011, the ecological vulnerability index gradually decreased, which means that environmental security was gradually enhanced, although there are still some places that have gradually deteriorated over the past 15 years. In the study area, government and economic factors and precipitation are the main reasons for the changes in ecological vulnerability.
机译:使用地理信息系统(GIS)分析了陕北的生态脆弱性变化。使用空间主成分分析(SPCA)模型开发了一个评估模型,该模型包含土地使用,土壤侵蚀,地形,气候,植被和社会经济变量。使用该模型,计算了研究区域的生态脆弱性指数。使用自然休息分类(NBC),评估结果分为五种类型:潜在,轻微,轻,中和重。结果表明,对研究区域的状况乐观程度高于平均水平,南部八个县的生态脆弱性指数(EVI)低于北部十二个县。从1997年到2011年,生态脆弱性指数逐渐降低,这意味着环境安全逐渐增强,尽管在过去15年中仍有一些地方逐渐恶化。在研究区域,政府和经济因素以及降水是生态脆弱性变化的主要原因。

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