Aboveground biomass and corresponding carbon sequestration ability of four major forest types in south China  

作　　者：CHEN QingQing XU WeiQiang LI ShengGong FU ShengLei YAN JunHua 

机构地区：[1]South China Botanical Garden,Chinese Academy of Sciences [2]Graduate University of Chinese Academy of Sciences [3]Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

出　　处：《Chinese Science Bulletin》2013年第13期1551-1557,共7页

基　　金：supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDA05050205)

摘　　要：We estimated aboveground biomass carbon (TABC) and net carbon accumulation rates (TNEP) for trees in four major forest types based on national forest inventory data collected in 1994-1998 and 1999-2003. The four types were Pinus massoniana forest, Cunninghamia lanceolata forest, hard broad-leaved evergreen forest and soft broad-leaved evergreen forest. We analyzed variations in TABC and TNEP for five stand ages (initiation, young, medium, mature and old). In both time periods, estimated TABC in all four forest types increased consistently with forest stand age and the oldest stage had the largest TABC compared with other stages. Broad-leaved forests (hard and soft) had higher TABC than needle-leaved forests (Pinus massoniana and Cunninghamia lanceolata) for each of the five age stages. The difference of TABC between broad-leaved and needle-leaved forests increased with forest stand age. Comparison of estimated TNEP by age category indicated TNEP increased from the initiation stage to the young stage, and then decreased from the mature stage to old stage in all four forest types. TNEP for any particular stage depended on the forest type; for instance, broad-leaved forests at both the mature and old stages had greater TNEP than in needle-leaved forests. A logistic curve was applied to fit the relationship between TABC and forest stand age. In each period, correlations in all four forest types were all statistically significant (P < 0.01) with R2 > 0.95. TABC was therefore predicted by these regression functions from 2000 to 2050 and the mean TNEP during the predicted period was estimated to be about 41.14, 31.53, 75.50 and 75.68 gCm-2a-1 in Pinus massoniana forest, Cunninghamia lanceolata forest, hard broad-leaved forest and soft broad-leaved forest, respectively. Results from both forest inventory and regression prediction suggest broad-leaved forests are greater carbon sinks, and hence have greater carbon sequestration ability especially in the mature and old stages when compared to needle-leaved forests. Broad-lWe estimated aboveground biomass carbon （Tgac） and net carbon accumulation rates （TNEP） for trees in four major forest types based on national forest inventory data collected in 1994-1998 and 1999-2003. The four types were Pinus massoniana forest, Cunninghamia lanceolata forest, hard broad-leaved evergreen forest and soft broad-leaved evergreen forest. We analyzed varia- tions in TABC and TNEP for five stand ages （initiation, young, medium, mature and old）. In both time periods, estimated TABC in all four forest types increased consistently with forest stand age and the oldest stage had the largest TABC compared with other stages. Broad-leaved forests （hard and soft） had higher TABC than needle-leaved forests （Pinus massoniana and Cunninghamia lanceolata） for each of the five age stages. The difference of TABC between broad-leaved and needle-leaved forests increased with forest stand age. Comparison of estimated TNEP by age category indicated TNEP increased from the initiation stage to the young stage, and then decreased from the mature stage to old stage in all four forest types. TNEP for any particular stage depended on the forest type; for instance, broad-leaved forests at both the mature and old stages had greater TNEP than in needle-leaved forests. A logistic curve was applied to fit the relationship between TAac and forest stand age. In each period, correlations in all four forest types were all statistically significant （P 〈 0.01） with R2 〉 0.95. Tgac was therefore predicted by these regression functions from 2000 to 2050 and the mean Tr, mp during the predicted period was estimated to be about 41.14, 31.53, 75.50 and 75.68 g C m-2 aI in Pinus mas- soniana forest, Cunninghamia lanceolata forest, hard broad-leaved forest and soft broad-leaved forest, respectively. Results from both forest inventory and regression prediction suggest broad-leaved forests are greater carbon sinks, and hence have greater car- bon sequestration ability especially in the mature and old stages when comp

关 键 词：森林类型 固碳能力 地上生物量 中国南部 常绿阔叶林 森林资源清查 成熟阶段 马尾松林 

分 类 号：S718.5[农业科学—林学]