森林工程2025，Vol.41Issue(5)：1000-1012,13.DOI:10.7525/j.issn.1006-8023.2025.05.013
黑河市森林生态系统碳汇估计及火干扰分析
Assessment of Carbon Stocks and Fire Disturbance Analysis of Forest Ecosystems in Heihe City
摘要
Abstract
Quantitative assessment of long-term carbon sequestration capacity in the forest ecosystem of Heihe City,Hei-longjiang Province,analyzing forest fire disturbances impacts on carbon sink dynamics to inform China's'Dual Carbon'goals.Based on dynamic monitoring data(2005,2010,2015)from 1 649 forest sample plots in Heihe City,combined with the Canadian Carbon Budget Model(CBM-CFS3)the carbon storage and carbon sink capacity of the forest ecosys-tem across multiple levels(aboveground,belowground,litter,deadwood,and soil carbon pools)during 2005,2010,2015 were evaluated on the basis of localized improvement of model parameters,and the impact of fire disturbances was also analyzed.Results indicated that across the measurement year(2005,2010,2015),the total ecosystem carbon den-sity of Heihe's forests increased from 207.15 t C/hm2 to 218.63 t C/hm2,with a carbon sink of 531.54 t C.The fre-quency of forest fires decreased annually,and carbon-containing gas emissions in 2015 dropped by 60.3％compared to 2005.Using 2005 carbon sequestration patterns under fire disturbance as the baseline scenario,low-intensity fire distur-bances slightly enhanced the carbon sequestration capacity of the forest ecosystem,while moderate and severe fire distur-bances reduced the carbon sequestration rate by 23.9％and 38.0％,respectively.The forest ecosystem played a posi-tive role in carbon sequestration during this period.Strengthening fire monitoring and prevention can effectively enhance carbon sequestration capacity,ensuring the stability and sustainable development of the regional ecological environment.关键词
黑河市/森林碳储量/CBM-CFS3模型/碳密度/火干扰Key words
Heihe City/forest carbon stock/CBM-CFS3 model/carbon density/fire disturbance分类
农业科技引用本文复制引用
赵圆,于颖,范文义..黑河市森林生态系统碳汇估计及火干扰分析[J].森林工程,2025,41(5):1000-1012,13.基金项目
东北林业大学碳中和专项科学基金项目(HFW220100054). （HFW220100054）
