CAJ | 학술논문

为了解不同林分密度下各组分生物量分配模式的变化特征，以20年生油松（ Pinus tabuliformis）人工林为研究对象，采用嵌套式回归法建立了油松各器官生物量与胸径、树高的回归方程，并分析了林分地上和地下各器官生物量比例随林分密度的变化趋势。结果表明：油松林生物量分配格局因林分密度（267～3367株／hm2）的不同存在较大的差异。地上、地下生物量范围分别介于20．74～141．25 t／hm2和5．36～36．92 t／hm2之间。生物量根冠比随林分密度的增加而增加（0．223～0．313，平均0?276），其中树干和枝条占总生物量的比例随林分密度的增加而减小，而叶片、粗根和细根的比例随林分密度的增加而增大。研究结果在一定程度上检验了最优分配理论的适用性，同时油松根系生物量模型以及估算方法对准确估算森林生态系统生物量及碳循环具有借鉴价值。
위료해불동림분밀도하각조분생물량분배모식적변화특정，이20년생유송（ Pinus tabuliformis）인공림위연구대상，채용감투식회귀법건립료유송각기관생물량여흉경、수고적회귀방정，병분석료림분지상화지하각기관생물량비례수림분밀도적변화추세。결과표명：유송림생물량분배격국인림분밀도（267～3367주／hm2）적불동존재교대적차이。지상、지하생물량범위분별개우20．74～141．25 t／hm2화5．36～36．92 t／hm2지간。생물량근관비수림분밀도적증가이증가（0．223～0．313，평균0?276），기중수간화지조점총생물량적비례수림분밀도적증가이감소，이협편、조근화세근적비례수림분밀도적증가이증대。연구결과재일정정도상검험료최우분배이론적괄용성，동시유송근계생물량모형이급고산방법대준학고산삼림생태계통생물량급탄순배구유차감개치。
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.