作　　者： ; ; ;

机构地区： 中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室

出　　处： 《地理科学进展》 2013年第8期1257-1265,共9页

摘　　要： 以县域为基本空间单元,采用GIS空间分析和ESDA方法,对山东省1995-2010年间县域粮食单产空间格局变化进行了分析,在此基础上,结合全国农业生态区划,分析山东省粮食均衡增产潜力。结果表明:①山东省县域粮食单产水平之间的差异整体上呈现出先增大后减小的趋势。鲁北和鲁西北平原农业生产基础差,单产增长速度最快;鲁西南平原农业生产基础差,单产增长速度较慢;鲁中南丘陵和山东半岛农业生产基础好,单产增长速度较慢;②县域粮食单产变化的Global Moran's I值为0.5708,表明单产变化的区域分布并非完全随机,而是表现出明显的空间集聚特征,4种集聚类型中,"H-H"类型区和"L-L"类型区占主导,"H-H"类型区主要分布在鲁北和鲁西北平原,"L-L"类型区主要分布在鲁西南平原、鲁中南丘陵和山东半岛;③全省可划分为4个一级、9个二级均衡增产类型区,粮食单产增产潜力鲁北和鲁西北平原>鲁中南丘陵>山东半岛>鲁西南平原;总产量增产潜力约为9.50×106t,其中鲁中南丘陵>鲁北和鲁西北平原>鲁西南平原>山东半岛。 Based on spatial autocorrelation analysis of exploratory spatial data, spatial changes and disparities of grain yield per unit area at county level in Shandong Province during 1995-2010 are discussed by using ArcGIS and GeoDa software, and then the potential increase of grain yield per unit area and total yield at regional scale are accessed. The results show that： （1） During 1995-2010, the difference of grain yield per unit area among counties increased first, and then decreased. Among the counties, the northwestern plain and southwestern plain both had poor conditions initially, but the former increased the most quickly in grain yield per unit area and the latter increased slowly; the central and southern hills and Jiaodong Peninsula both had good conditions initially, but they increased slowly. （2） The global spatial autocorrelation of grain yield per unit area change is significant- ly positive and Global Moran＇s I is 0.5708. The changes showed a spatially clustering phenomenon on the whole and the characteristic of spatial clustering of regional high value and low value is significant. The regions with ＂high-high＂ and ＂low-low＂ correlation are the majority. The regions with ＂H-H＂ correlation are mostly located in the northwestern plain, however, the regions with ＂L-L＂ correlation are mainly distributed in the other three re- gions. （3） Shandong Province could be divided into 4 first-grade regions and 9 second-grade regions. The bal- anced potential output per unit area of the 4 first-grade regions could be sorted in descending order as the north- western plain, central and southern hills, Jiaodong Peninsula, and southwestern plain. The total potential output of Shandong Province is 9.50x 106 tons, and the 4 regions could be sorted as the central and southern hills, north- western plain, southwestern plain, and Jiaodong Peninsula.

关 键 词： 均衡增产潜力 粮食单产 空间自相关 山东省

领　　域： [农业科学] [农业科学]