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CDM-ARP杉木林碳汇监测方法学研究

Study on the methodology for monitoring Chinese fir carbon sink of CDM-afforestation and reforestation(AR) project

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【作者】 朱向辉汪传佳王仁东翁永发马飞杰过路方怀远朱汤军

【Author】 ZHU Xiang-hui1,2,WANG Chuan-jia1,WANG Ren-dong3,WENG Yong-fa3,MA Fei-jie1,2,GUO Lu4,FANG Huai-yuan4,ZHU Tang-jun1(1.Zhejiang Institute of Forest Science,Hangzhou 310023,Zhejiang,China;2.School of Forestry and Biotechnology,Zhejiang Forestry College,Lin’an 311300,Zhejiang,China;3.Forest Enterprise of Quzhou City,Quzhou 324002,Zhejiang,China;4.Forest Enterprise of Kaihua County,Kaihua 324300,Zhejiang,China)

【机构】 浙江省林业科学研究院浙江省衢州市林业局浙江省开化县林业局浙江省林业科学研究院 浙江杭州310023浙江林学院林业与生物技术学院浙江临安311300浙江杭州310023浙江衢州324002浙江开化324300

【摘要】 为满足浙江省重点产杉区造林再造林项目杉木林的碳汇监测需要,利用杉木Cunninghamia lanceolata立地数量化模型、定量间伐技术、生长收获模型和生物量模型等,区分不同立地条件,采用定量方法,并考虑间伐因素,建立了清洁发展机制造林再造林项目(CDM-ARP)杉木林碳汇监测方法学,对杉木林分碳密度、碳储量和二氧化碳净吸存量进行监测。监测方法分为项目规划阶段(造林前)预测和林分生长阶段(造林后)监测。选择易测定的碳库作为监测对象,并用常规测树因子来估测较难测定的各器官生物量和碳汇量。该方法科学准确,省时省力,成本低廉,快速高效。

【Abstract】 In order to monitor the carbon sink of Cunninghamia lanceolata(Chinese fir) in the key fir production area of Zhejiang Province,the research integrated previous research achievements such as site quantified model,quantitative thinning technology,yield models and biomass models to establish a methodology for monitoring Chinese fir carbon sink to predict the carbon density,carbon storage and net carbon dioxide absorption amount of Chinese fir stand.The monitoring methodology was divided into two stages,i.e.,project programming stage and stand growth stage,to predict the above-mentioned three indexes.The research selected the easily determined carbon pool as monitoring object and used conventional measurement factor to predict the biomass and carbon sink amount which are difficult to measure.The monitoring methodology is not only scientific,accurate,and effective and quick,but also cheap and efficient.

【基金】 浙江省科技厅欠发达地区专项(2005C32049);浙江省与中国林业科学研究院省院合作林业重点项目(2005SY01)
  • 【文献出处】 浙江林学院学报 ,Journal of Zhejiang Forestry College , 编辑部邮箱 ,2008年03期
  • 【分类号】S718.5
  • 【被引频次】12
  • 【下载频次】419
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