Forest biomass carbon storage from multiple inventories over the past 30 years in Gansu Province, China: implications from the age structure of major forest types

作     者：Jinhong Guan Huanshui Zhou Lei Deng Jianguo Zhang Sheng Du 

作者机构：State Key Laboratory of Soil Erosion and Dryland Farming on Loess PlateauInstitute of Soil and Water ConservationChinese Academy of Sciences and Ministry of Water Resources University of Chinese Academy of Sciences Northwest Institute of Forest InventoryPlanning and DesignState Forestry Administration College of ForestryNorthwest A&F University Institute of Soil and Water ConservationNorthwest A&F University 

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

年 卷 期：2015年第26卷第4期

页      面：887-896页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 0829[工学-林业工程] 09[农学] 0903[农学-农业资源与环境] 0901[农学-作物学] 

基　　金：financially supported by the Chinese Academy of Sciences through the Strategic Priority Research Program(XDA05050202) 

主　　题：Age class Carbon density Forest carbonstorage Forest inventory data Gansu Province Reforestation 

摘      要：We used the forest inventory data of Gansu Province, China to quantify carbon storage and carbon density changes by regional forest cover and by typical forest types in 1979-2006. Total forest area increased from 1.77 x 106 ha in 1979 to 2.32 x 106 ha in 2006, and the forest carbon storage, estimated by the continuous biomass expansion factor method, increased from 83.14 to 100.66 Tg, equivalent to a carbon accumulation rate of 0.0071 Tg per year during the period. Mean carbon densities were 44.83-48.50 t ha-1 and the values decreased slightly over the time period. Natural forests generated greater car- bon storage and density than did plantations. By regression analysis, forest stand age was an important parameter incarbon density studies. We developed various regression equations between carbon density and stand age for major types of natural forests and plantations in the region. Our results can be used for proper selection of re-forestation species and efficient management of young and middle-aged forests, offering great potential for future carbon sequestra- tion, especially in arid and semi-arid regions.