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贵州省生态系统服务价值与社会经济空间相关性分析
引用本文:郜红娟,韩会庆,罗绪强,俞洪燕,韩默然. 贵州省生态系统服务价值与社会经济空间相关性分析[J]. 水土保持研究, 2016, 23(2): 262-266
作者姓名:郜红娟  韩会庆  罗绪强  俞洪燕  韩默然
作者单位:贵州师范学院 地理与旅游学院, 贵阳 550018
基金项目:贵州师范学院2015年度校级自然科学研究资助项目(2015YB021),贵州省环境科学教学团队项目(黔教高[2012]426号),贵州师范学院环境科学教学团队项目(贵师院[2012]47号)
摘    要:基于2000年,2010年土地利用与社会经济数据,利用GeoDA模型分析了贵州省生态系统服务价值(ESV)与城镇化率、人均GDP、人口密度之间空间相关性。结果表明:2000年和2010年ESV与城镇化率、人均GDP、人口密度呈负相关;10 a间,ESV变化与城镇化率变化、人均GDP变化呈正相关,与人口密度变化呈负相关。ESV与城镇化率、人均GDP、人口密度之间高—低相关多分布中部,低—高相关多分布东南部和西北部,低—低和高—高相关分布较少且分散。ESV变化与城镇化率、人均GDP变化之间低—高相关和高—高相关分布北部和西北部,低—低相关分布中部。ESV变化与人口密度变化之间高—低相关分布中部,低—高相关和高—高相关分布北部和西北部。

关 键 词:社会经济因素  ESV  空间相关性  贵州省

Spatial Correlation of Socioeconomic Factors and Ecosystem Service Values in Guizhou Province
GAO Hongjuan,HAN Huiqing,YU Hongyan,HAN Moran. Spatial Correlation of Socioeconomic Factors and Ecosystem Service Values in Guizhou Province[J]. Research of Soil and Water Conservation, 2016, 23(2): 262-266
Authors:GAO Hongjuan  HAN Huiqing  YU Hongyan  HAN Moran
Affiliation:College of Geography and Tourism, Guizhou Normal College, Guiyang 550018, China
Abstract:Based on the data of land use, social economy for 2000 and 2010, we explored the spatial correlation of urbanization rate, GDP per person, population density and ecosystem service value (ESV) in Guizhou Province using the GeoDA model. The results showed that there was a negative correlation between urbanization rate, GDP per person, population density and ESV. A positive correlation between urbanization rate change, GDP per person change and ESV change could be observed, while a negative correlation between ESV change and population density change could be found. The high—low correlation and low—high correlation mainly occurred in central part, southeast and northwest parts, while there were little high—high correlation and low—low correlation in spatial correlation types of urbanization rate, GDP per person, population density and ESV. The low—high correlation and high—high correlation were situated in north and northwest parts, while low—low correlation was observed in central part between urbanization rate change, GDP per person change and ESV change. The high—low correlation lied in central part, while high—low correlation and low—high correlation mainly presented in north and northwest parts between population density change and ESV change.
Keywords:socioeconomic factors  ESV  spatial correlation  Guizhou Province
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