南京林业大学学报（自然科学版）Issue(6)：87-92,6.DOI:10.3969/j.issn.1000-2006.2015.06.016
不同林分密度油松人工林生物量分配模式
Biomass allocation in relation to stand density in Pinus tabuliformis plantation
摘要
Abstract
The biomass allocation pattern is critical for understanding individual growth processes and modeling terrestrial ecosystem carbon cycles in the context of global climate change. Our objective was to determine the effects of stand density on biomass allocation pattern in a Pinus tabuliformis plantation in Beijing, China. Eighteen sample trees for aboveground components and eleven sample trees for belowground components were used for developing DBH-biomass models by the nested regression method. Thirty⁃three temporary plots (20 m×30 m) with different stand densities (267-3 367 trees/hm2 ) were investigated by recording DBH of all trees over 5 cm DBH in July—August 2012. All components exhibited significant variations across the surveyed plots with different stand densities. Above and below ground biomass ranged from 20.74 to 141.25 t/hm2 and 5.36 to 36.92 t/hm2 , respectively. The average biomass ratio of root to shoot was 0.276, and increased from 0.223 to 0.313 as stands becoming denser. In addition, with increasing stand density, the proportion of stem and branch to total forest biomass decreased, while foliage, fine root and coarse root bio⁃mass increased. The functional balance theory is tested in part by our results, which were also improtant for accurate es⁃timation of ecosystem biomass and carbon accounting.关键词
嵌套式回归/生物量分配/油松/林分密度Key words
nested regression method/biomass allocation/Pinus tabuliformis/stand density分类
农业科技引用本文复制引用
贾全全,罗春旺,刘琪璟,刘丽婷,李俊清..不同林分密度油松人工林生物量分配模式[J].南京林业大学学报（自然科学版）,2015,(6):87-92,6.基金项目
国家高技术研究发展计划 （）
