县域森林蓄积量的空间自相关分析  

Spatial Autocorrelation Analysis of Forest Volume in County

作　　者：严绍裕[1] YAN Shaoyu(Fujian Forestry Vocational Technical College,Nanping,Fujian 353000)

机构地区：[1]福建林业职业技术学院,南平353000

出　　处：《武夷学院学报》2021年第12期24-29,共6页Journal of Wuyi University

摘　　要：以南平市建阳区作为研究区域,选择建阳区各乡镇空间单元的各林种单位面积蓄积量为基础数据,基于GeoDa、ArcGIS 9.2软件,利用各乡镇各林种单位面积蓄积量的全局和局域Moran’s Ⅰ指数研究建阳区森林单位面积蓄积量的空间分布规律和自相关特征,为林业生产过程中各林种在局域的优化提供参考。结果表明:各林种单位面积蓄积量的全局Moran’s Ⅰ指数均无显著的空间自相关,表现出随机分布的空间分布特征;局域Moran’s Ⅰ指数也反映出建阳区森林单位面积蓄积量的空间分布以随机分布为主;莒口镇各林种单位面积蓄积量出现较多的冷点区,但各乡镇各林种单位面积蓄积量在空间分布上未呈现出明显的聚集性规律。In this study, Jianyang district in Nanping city was selected as study area and different forest types’ volume per area was chosen as the basic data. Using GeoDa and ArcGIS 9.2 software, we calculated the global and local Moran’s Ⅰ index to analyze the spatial distribution and autocorrelation characteristics of forest volume per area of the towns in Jianyang district. The results showed that the global Moran’s Ⅰ index of all forest types’ volume per area had no significant spatial auto-correlation, as the local Moran’s Ⅰ index had similar trends. Though Lvkou town had the most of the cold spots in all forest types’ volume per area, all forest types’ volume per area did not show obvious aggregation trends in spatial distribution. Our study can provide useful information for the optimization and particular emphasis of forest types at local scale in forest production process.

关 键 词：森林单位面积蓄积量 空间自相关分析 县域尺度 Moran’sⅠ指数 福建省南平建阳区 

分 类 号：S758.51[农业科学—森林经理学]