文献类型：期刊文献

中文题名：贵州省贫困发生率与生境退化程度相关性分析

英文题名：Correlation Analysis Between Poverty Incidence and Habitat Degradation in Guizhou Province

作者：韩会庆 李松 俞洪燕

第一作者：韩会庆

机构：[1]贵州理工学院建筑与城市规划学院;[2]贵州师范学院资源环境与灾害研究所

第一机构：贵州理工学院建筑与城市规划学院

年份：2017

卷号：40

期号：3

起止页码：15-20

中文期刊名：湖南师范大学自然科学学报

外文期刊名：Journal of Natural Science of Hunan Normal University

收录：CSTPCD;;北大核心:【北大核心2014】；

基金：国家自然科学基金资助项目(41563007);贵州省科技拔尖人才项目(黔教合KY字[2016]082)

语种：中文

中文关键词：贫困发生率;生境退化;空间相关性;贵州省

外文关键词：poverty incidence; habitat degradation; spatial correlation; Guizhou province

摘要：为探究贫困发生率与生境退化程度之间的空间相关性,以贵州省为例,利用InVEST模型,对全省生境退化程度进行评估,进而利用GeoDa软件分析贵州省贫困发生率与生境退化程度之间相关性.结果表明:(1)2010年贵州省贫困发生率与生境退化程度空间异质性突出,东部、西部和南部贫困发生率大于中部和北部,中西部生境退化程度大于东南部和南部.(2)贫困发生率与生境退化之间存在负相关关系,且以负相关的低高集聚和高低集聚为主.贫困发生率越大的地区生境退化程度越小.贫困发生率与生境退化的双变量LISA聚集图中,以高-低相关和低-高相关为主,其分布集中于东南部和中部.贫困程度与人为地类空间格局的差异是造成贫困发生率与生境退化之间负相关的主要原因.
In order to explore the correlation between poverty incidence and habitat degradation, taking Guizhou province as an example, we evaluated the habitat degradation degree in the entire province using the In-VEST model. Then, the spatial correlation between poverty incidence and habitat degradation was analyzed using the GoeDa model. Our results are as follows （1 ） There was clear space heterogeneity for poverty incidence and habitat degradation in 2010. Poverty incidences in east, west and south parts were higher than those in north and central parts. Habitat degradation degree in midwest was higher than that in southeast and south parts. （2） There was a negative correlation between poverty incidence and habitat degradation. High-low group and low-high group were the main types. A higher poverty incidence in administrative region had a lower habitat degradation degree. The high-low group and low-high group were located in southeast and central part for bivariate LISA cluster map of poverty incidence with habitat degradation. The different spatial pattern of poverty grade and human land use types are the main reasons resulting in the negative correlation between poverty incidence and habitat degradation.