世界林业研究2025，Vol.38Issue(2)：32-38,7.DOI:10.13348/j.cnki.sjlyyj.2025.0031.y
森林生物量和碳储量估算研究进展
Research Advances in Estimation of Forest Biomass and Carbon Storage
摘要
Abstract
Forest biomass and carbon storage are the key indicators that reflect the productivity of forest ecosystems,and they are also important parameters for forest resource monitoring.Statistical modeling and process modeling are the two main methods for estimating forest biomass and carbon storage.The statistical models,which mainly include single tree biomass model,stand biomass model and statistical model introducing remote sensing variables,transform complex ecological process into quantifiable mathematical relationships.Statistical models have no need to describe the ecological mechanism process of forest ecosystem,and have been widely used in continuous forest inventory and other forestry practices thanks to their advantages of simple parameters and high efficiency.However,the models have limitations such as strong dependence on data quality,insufficient mechanism explanation,and weak extrapolation ability in their utilization.The process models mainly include physiological ecological process model and light utilization model,which emphasize the description and simulation of the process of photosynthesis,respiration and nutrient cycling in the growth of forest vegetation and thus have high interpretive ability.The research progress in the two methods for forest biomass and carbon storage estimation is reviewed and compared,and the limitations in existing applications are summarized.At the end,the suggestions are put forward for further promoting the research on the estimation of forest biomass and carbon storage from the 4 aspects including improvement of ground-based measurement system,increase in statistical modelling accuracy and expansion,uncertainties reduction and improved representation for process modelling retrieval and consistent validation among the modelling results.关键词
森林生物量/森林碳储量/统计模型/过程模型Key words
forest biomass/forest carbon storage/statistical model/process model分类
农业科技引用本文复制引用
邹文涛,曾伟生..森林生物量和碳储量估算研究进展[J].世界林业研究,2025,38(2):32-38,7.基金项目
浙江省—中国林业科学研究院省院合作重大项目"浙江省森林质量精准提升支撑技术体系研究及示范"(2022SY02) （2022SY02）
国家重点研发计划课题"典型人工林立地质量评价与生产力提升技术"(2022YFD2200501). （2022YFD2200501）
