Assessing current stocks and future sequestration potential of forest biomass carbon in Daqing Mountain Nature Reserve of Inner Mongolia, China

作     者：Yahui Sun Li Meng Lü Tian Guoliang Li Osbert Jianxin Sun 

作者机构：College of Forest Science Beijing Forestry UniversityBeijing 100083 China Survey and Planning Institute of State Forestry Administration Beijing 100714 China Inner Mongolia Institute of Forest Monitoring and PlanningHuhhot 010020 China Institute of Forestry and Climate Change Research Beijing Forestry University Beijing 100083 China 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2016年第27卷第4期

页      面：931-938页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：funded by the Program for Public–Welfare Forestry of the State Forestry Administration of China(Grant No.201104008) 

主　　题：sequestration biomass stocks stand forests Reserve Birch projected gains anthropogenic 

摘      要：Assessment of regional forest carbon stocks and underlying controls is critical for guiding forest management in the context of carbon sequestration. We investigated the variations in tree biomass carbon stocks relating to forest types, and estimated the total tree biomass carbon stocks and projected gains through natural stand development by 2020 and 2050 in the Daqing Mountain Nature Reserve based on Category II data of the Forest Inventory of Inner Mongolia for the period ending 2008. Over a total area of 388,577 ha,this nature reserve currently stores an estimated 2221 Gg C in tree aboveground biomass alone, with potential to grow by more than 30 % to reach 2938 Gg C by 2020 and nearly double to 4092 Gg C by 2050 through natural development of the existing forest stands. The tree biomass carbon density and potential gain in tree biomass carbon stocks vary markedly among forest types and with stand *** variations in the potential change of tree biomass carbon density for the periods 2008–2020 and 2008–2050 among forest types partly reflect the varying relationships of tree biomass carbon density with stand age for different tree species, and partly are attributable to variations in the stand age structure among different forest types. Of the major forest types, the ranking of projected changes in tree biomass carbon density are not consistent with variations in the relationship between tree biomass carbon density and stand age, neither are they explainable by variations in stand age structures, implying the interactive effect between forest type and stand dynamics on temporal changes in tree biomass carbon density. Birch rank highest for future biomass carbon sequestration because of its dominance in cover area and better age structure for potential gain in tree biomass carbon stocks. Poplar and larch were out-performers compared to other forest types given their greater contribution to total tree biomass carbon stocks relative to their distributional