Estimation of biomass and carbon storage of moso bamboo (Phyllostachys pubescens Mazel ex Houz.) in southern China using a diameter–age bivariate distribution model
Estimation of biomass and carbon storage of moso bamboo (Phyllostachys pubescens Mazel ex Houz.) in southern China using a diameter–age bivariate distribution model
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DOI：
10.1093/forestry/cpu028
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发表时间：
2014-12
期刊：
影响因子：
2.8
通讯作者：
Houxi Zhang;Shunyao Zhuang;Bo Sun;Haibao Ji;Chang-Ming Li;Sai-xia Zhou
中科院分区：
文献类型：
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作者：
Houxi Zhang;Shunyao Zhuang;Bo Sun;Haibao Ji;Chang-Ming Li;Sai-xia Zhou
由于速生竹分布广、空间变异大，其碳储量的估算仍有局限性。本研究对毛竹（Phyllostachys pubescens Mazel ex Houz.）中国南方的森林采用基于威布尔分布函数的直径-年龄二元分布模型和基于直径和年龄的单竹生物量估算模型对毛竹生物量和碳储量进行了预测。根据观测资料，得到了两个模型的参数。结果表明，毛竹生物量随年龄和胸径的变化而变化。相应的估计生物量和碳储量在研究领域分别为88.23和40.45毫克公顷。六分之一的老秆从整个立场被删除，通过选择性砍伐，和生物量和碳的年产量分别为14.07和6.74毫克公顷。毛竹林的固碳能力高于杉木（Cunninghamia lanceolata（Lamb.）Hook.）森林，热带山地雨林，火炬松（Pinus taeda L.）林和东方栎（Quercus variabilis Bl.）该模型可以较好地用于中国南方区域尺度毛竹生物量碳的准确估算。
Carbon storage estimation for fast-growing bamboos remains limited because of its wide distribution and spatial variation. This study estimates biomass production and carbon storage of a moso bamboo (Phyllostachys pubescens Mazel ex Houz.) forest in southern China. A diameter–age bivariate distribution model based on the Weibull distribution function and a single bamboo biomass estimation model based on diameter and age were used to predict the biomass and carbon storage. The parameters of the two models were obtained on the basis of the observation data. Results showed that moso bamboo biomass varied with age and diameter at breast height (DBH). The corresponding estimated biomass and carbon storage in the study area were 88.23 and 40.45 Mg ha, respectively. One-sixth of older culms from the entire stand were removed by selective cutting, and the annual yields of biomass and carbon were 14.07 and 6.74 Mg ha, respectively. The moso bamboo forest has higher carbon sequestration capacity than Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) forest, tropical mountain rain forest, loblolly pine (Pinus taeda L.) forest and oriental oak (Quercus variabilis Bl.). The present model could be used well to estimate accurately the biomass carbon of moso bamboo at regional scale in southern China.