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机构地区:[1]西北农林科技大学水土保持研究所,陕西杨凌712100
出 处:《水土保持通报》2011年第6期143-147,共5页Bulletin of Soil and Water Conservation
基 金:中国科学院战略性先导科技专项"中国科学院战略性先导科技专项子课题"(XDA05060300);国家林业公益性行业科研专项(200904056)
摘 要:基于森林资源清查资料的森林碳储量估算是在景观、区域甚至全球尺度上评估森林碳收支的重要手段,且在陆地生态系统碳循环和全球变化研究中有着重要作用。森林植被碳储量的估计,常通过测定森林植被的生物量乘以生物量中碳元素的含量(0.45~0.55)推算而得。基于森林清查资料的森林生物量的估算方法主要有IPCC法,BEF为常数的生物量转换因子法,生物量转换因子连续函数法和生物量经验(回归)模型估计法等。概述了基于森林资源清查资料的森林植被碳储量的4种定量研究方法,并提出了该领域研究存在的主要问题与发展建议。分析结果表明,在今后的森林碳储量研究中,需要加强遥感技术手段的利用,增加碳通量在森林资源清查中的调查,开发适合我国实际情况的反演模型。The forest carbon storage estimation methods based on the forest inventory data(FID) are important in assessing forest carbon budget in terms of landscape,regional,and national scales,and play an important role in studying terrestrial ecosystem carbon cycle and global changes.The vegetation carbon storage in forest ecological system is usually calculated by multiplying forest biomass of the forest ecological system with its biomass carbon content,and in the world,the coefficient commonly is 0.45~0.55.There are basically four methods for forest biomass estimation based on FID: IPCC method,a constant BEF of biomass expansion factor method,biomass expansion factor continuous function method and biomass experience(regression) model method.The quantitative methods of forest carbon storage estimation based on FID of forest vegetation were reviewed.The problems related to the methods were pointed out,and improvement proposals were put forwards for future forest carbon storage estimation methods.In forest carbon storage estimation,remote sensing techniques need to be stressed,the carbon flux in the forest inventory need to be increasingly employed and the inversion models fitted to the actual situation in China need to be developed in the future.
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