• 方法与技术 •
LIU Shuang, RUAN Hong-hua**
Abstract: At present, the estimation of forest biomass and net primary productivity (NPP) on regional scale is one of the important issues in ecology. The estimates on forest biomass and NPP on regional scale by using different methods vary greatly. Based on the investigation data of 167 forest typical sampling plots in Guangdong and Guangxi provinces of South China collected from publications, and by using the equations of the relationships between the stand age and the biomass and NPP, the forest biomass and NPP under natural growth in the two Provinces were estimated in 2010. The spatial patterns of the forest biomass and NPP were derived by the spatial interpolation and geostatistics analysis of ArcGIS, with the spatial patterns of the two and of the forest biomass components explored. There existed great differences in the biomass and NPP among different forest types. The spatial pattern of forest biomass decreased from north to south. The NPP was lower in the central area, and the highest in the west and south, where tropical rainforests distributed. Our results would provide a new way to study the forest biomass and NPP on regional scale.
high-efficient degrading bacteria,
rapid and high-throughput screening,
刘双,阮宏华**. 基于地统计学的广东省和广西省森林生物量和NPP空间格局分析[J]. 生态学杂志.
LIU Shuang, RUAN Hong-hua**. Spatial pattern analysis of forest biomass and NPP in Guangdong and Guangxi provinces of South China based on geostatistics.[J]. cje.