摘要
以昆明市二类调查数据为基础,采用空间自相关和空间异质性分析方法,对昆明市云南松林地上生物量的空间分布规律进行研究。结果表明:昆明市云南松林生物量密度的空间聚类模式始终呈现出显著的空间正相关关系,其强度受到距离尺度的影响,在51.6 km处空间聚类模式最为显著;昆明市云南松林生物量密度的空间分布存在规律性,高值主要分布在昆明市的西北部地区,低值主要分布于东北部、中部、西南部以及东南部地区。云南松林生物量密度的空间异质性主要是由随机部分引起,且会受到采样间隔的影响;云南松林生物量密度在空间上是各向异性的,不同方向上的空间变异存在差异。昆明市云南松林生物量密度的空间自相关性和异质性的研究尺度分别为51.6 km和9 km,本研究可为昆明市的森林保护、森林经营管理提供参考。
Based on forest management inventory data in Kunming,spatial autocorrelation and spatial heterogeneity were used to analyze the spatial distribution of aboveground biomass of Pinus yunnanensis forests.The results showed that aboveground biomass density of P.yunnanensis forests had significant positive spatial autocorrelation and its intensity of spatial cluster was affected by the distance scale,especially in 51.6 km,where the spatial processes of clustering are most pronounced;the spatial distribution of aboveground biomass density of P.yunnanensis forests in Kunming was regular,the large high-high spatial clusters were observed in the northwest part and the low-low spatial clusters were observed in the northeast,central,southwest and southeast Kunming.The spatial heterogeneity of P.yunnanensis forests is mainly composed of random components and the results were affected by step size;the aboveground biomass density of P.yunnanensis forests is anisotropic,and the spatial variability varies with direction.The research scale of spatial effect for the aboveground biomass density of P.yunnanensis forests in Kunming is 51.6 km and 9 km,respectively.This study can provide reference for forest protection and management in Kunming.
作者
农明川
付磊
李晟
欧光龙
Nong Mingchuan;Fu Lei;Li Sheng;Ou Guanglong(Key Laboratory of State Forestry Administration on Biodiversity Conservation in Southwest China,Southwest Forestry University,Kunming Yunnan 650233,China;Kunming Forest Resources Management Station,Kunming Yunnan 650223,China)
出处
《西南林业大学学报(自然科学)》
CAS
北大核心
2020年第2期117-124,共8页
Journal of Southwest Forestry University:Natural Sciences
基金
国家自然科学基金项目(31760206,31770677,31560209,31660202)资助
云南省唐守正院士工作站(2018IC066)资助
云南省王广兴专家工作站(2018IC100)资助
云南省万人计划青年拔尖人才专项(WRJH-QNBJ-2018-184)资助。
关键词
地上生物量密度
空间自相关
空间异质性
地统计学
云南松林
aboveground biomass density
spatial autocorrelation
spatial heterogeneity
geostatistics
Pinus yunnanensis forests