基于泛克里格方法的树种多样性空间估计研究  

Estimation of spatial distribution of tree species diversity based on Universal Krige Model

作　　者：贺鹏[1] 张会儒[1] 雷相东[1] 李晓冬[1] 

机构地区：[1]中国林业科学研究院资源信息研究所,北京100091

出　　处：《中南林业科技大学学报》2013年第12期67-71,共5页Journal of Central South University of Forestry & Technology

基　　金：林业公益性行业专项"我国典型森林类型健康经营关键技术研究"(201004002)

摘　　要：生物多样性保护已成为森林可持续经营的一个重要目标。生物多样性的空间分布估计对于森林经营者了解生物多样性的空间格局和变化趋势具有重要意义。本研究主要基于汪清林业局二类调查数据和局级固定样地数据,以树种多样性为例,利用泛克里格方法对全局树种多样性进行空间分布估计。结果表明,泛克里格方法的预测精度较高(R2=0.697 7),树种多样性在固定样地的抽样尺度下,存在一定的空间自相关性,预测的树种多样性最高值为1.82,最低值为0.221,空间分布具有明显的空间异质性,呈现出北部低,东部,南部和西部高的空间分布格局。研究结果为区域尺度基于固定样地和地统计学的树种多样性空间分布估计提供了方法和参照。Biodiversity conservation is one of major goals of forest sustainable management. Estimation of spatial distribution is extremely significant for forest manager to get better sense of the spatial pattern and dynamical changes of biodiversity. By taking the tree species diversity as an example and using Universal Krige （UK）, the spatial distribution of tree species diversity based on bureau- level permanent plot data of forest inventory in Wangqing forest enterprise, Jilin Province were estimated. The results demonstrate that the UK for the studied area was a feasible method with a higher prediction accuracy （R2=0.6977）; Spatially, tree species diversity varied obviously in this region from 1.82 to 0.221; In addition, the spatial distribution map shows that there was an obvious trend in the studied area： lower tree species diversity in north and higher in east, west and south. Meanwhile, the results provide a method and reference for the region-scale tree species diversity estimation based on the permanent plot and geo-statistics.

关 键 词：树种多样性 空间分布格局 地统计学 泛克里格方法 

分 类 号：S718[农业科学—林学]