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基于非空间结构的浙江省毛竹林固碳潜力

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在毛竹单株生物量模型及其林分特征的基础上,构建基于非空间结构的毛竹林固碳潜力模型,并阐述模型的生物学意义;应用Matlab提供的Linprog函数与Solve函数,对所建模型在满足约束条件下进行优化求解,结果表明,当1度竹、2度竹、3度竹和≥4度竹占毛竹样地总株数的百分比均为0.25,毛竹林分立竹度为4 363株·hm-2,平均胸径为12.169 1 cm时,毛竹林碳储量达到最大,其值为42 220.214 9 kg·hm-2;根据优化结果与2004年浙江省毛竹林结构现状,提出增加毛竹林固碳量的一些措施.
Carbon Sequestration Potential of Moso Bamboo Forest in Zhejiang Province Based on the Non-Spatial Structure
A model was constructed with a non-spatial structure to estimate carbon sequestration potential of a moso bamboo ( Phyllostachys edulis) ioresl on the basis of a biomass estimation model of individual Moso bamboo and the forest stand characteristics. The biological implications of the model were described in detail. The optimum solution of the model was solved by using Linprog and Solve functions in Matlab software under specified constraint conditions. Results showed that moso bamboo forest carbon storage reached a maximum value of 42 220.214 9 kg · hm-2 when percentage of bamboo in 1 du ,2du ,3du, and ≥4du is 0. 25 respectively, stem density is 4 363 stem · hm-2 , and mean diameter at breast height is 12. 169 1 cm. Some measures were proposed to increase carbon sequestration of a moso bamboo forest according to the optimized results from this study and the forest stand structure.

moso bamboocarbon sequestration potentialforest non-spatial structure

刘恩斌、施拥军、李永夫、周国模

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浙江省森林生态系统碳循环与固碳减排重点实验室 浙江农林大学环境与资源学院 临安311300

毛竹 固碳潜力 林分非空间结构

浙江省重点科技创新团队项目国家自然科学基金国家自然科学基金

2012R10023-023097235630900190

2012

林业科学
中国林学会

林业科学

CSTPCDCSCD北大核心
影响因子:1.272
ISSN:1001-7488
年,卷(期):2012.48(11)
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