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河北省北部森林植被碳储量和固碳速率研究
引用本文:张 滨,张丽娜,刘秀萍,赵占轻,曹建生,张万军.河北省北部森林植被碳储量和固碳速率研究[J].中国生态农业学报,2016,24(3):392-402.
作者姓名:张 滨  张丽娜  刘秀萍  赵占轻  曹建生  张万军
作者单位:1. 中国科学院遗传与发育生物学研究所农业资源研究中心/中国科学院农业水资源重点实验室/河北省节水农业重点实验室石家庄 050022; 中国科学院大学 北京 100049;2. 河北科技大学 石家庄 050018;3. 中国科学院遗传与发育生物学研究所农业资源研究中心/中国科学院农业水资源重点实验室/河北省节水农业重点实验室石家庄 050022
基金项目:国家林业公益性行业科研专项(201404214)和中国科学院战略性先导科技专项(XDA05060600)资助
摘    要:为了了解河北省北部森林植被固碳能力,本文以该区域阔叶林、针叶林、混交林、经济林和灌丛为研究对象,基于政府间气候变化专门委员会(IPCC)推荐采用的加拿大林业碳收支模型(CBM-CFS3),利用第7次全国森林资源连续清查数据和野外森林植被调查样地数据,拟合出研究区的蓄积-生物量转换参数和林木器官生物量比例参数,建立研究区内不同森林植被类型的蓄积生长方程、蓄积-干材生物量转换方程、生物量组分比例方程,采用这些方程评估了2010年河北省北部森林生态系统植被碳储量、碳密度和固碳速率。结果表明:拟合的不同森林植被蓄积生长方程的决定系数均大于0.7,蓄积-干材生物量转换方程的决定系数均大于0.8,生物量组分比例方程拟合效果较好,可用于评估该区域森林植被碳汇功能和潜力。2010年河北省北部森林植被碳储量为59.66 Tg(C),平均森林植被碳密度为25.05 Mg(C)×hm~(-2),森林植被固碳速率为0.07~1.87Mg(C)×hm~(-2)×a~(-1);其中阔叶林、针叶林、混交林、经济林碳储量和碳密度分别为30.97 Tg(C)、12.36 Tg(C)、15.73Tg(C)、0.60 Tg(C)和26.09 Mg(C)×hm~(-2)、26.14 Mg(C)×hm~(-2)、24.50 Mg(C)×hm~(-2)、7.53 Mg(C)×hm~(-2)。河北省北部森林植被碳密度与固碳速率均从西北到东南呈升高趋势。造林后森林面积增加6 400 km2,森林植被碳储量增加19.54 Tg(C)(不包括灌丛);林龄结构以中幼龄林为主,未来森林固碳潜力巨大。说明造林在增加森林植被碳储量和提高森林的固碳速率中起到了重要作用。

关 键 词:河北省北部  CBM-CFS3  模型  森林植被  碳储量  碳密度  固碳速率
收稿时间:2015/9/18 0:00:00
修稿时间:2015/12/8 0:00:00

Vegetation carbon storage and carbon sequestration rates in northern Hebei Province
ZHANG Bin,ZHANG Lin,LIU Xiuping,ZHAO Zhanqing,CAO Jiansheng and ZHANG Wanjun.Vegetation carbon storage and carbon sequestration rates in northern Hebei Province[J].Chinese Journal of Eco-Agriculture,2016,24(3):392-402.
Authors:ZHANG Bin  ZHANG Lin  LIU Xiuping  ZHAO Zhanqing  CAO Jiansheng and ZHANG Wanjun
Institution:1. Key Laboratory of Agricultural Water Resources, Chinese Academy of Sciences / Hebei Key Laboratory of Water-Saving / Center for Agricultural Resources Research, Institute of Genetics & Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China 2. University of Chinese Academy of Sciences, Beijing 100049, China,Hebei University of Science and Technology, Shijiazhuang 050018, China,Key Laboratory of Agricultural Water Resources, Chinese Academy of Sciences / Hebei Key Laboratory of Water-Saving / Center for Agricultural Resources Research, Institute of Genetics & Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China,1. Key Laboratory of Agricultural Water Resources, Chinese Academy of Sciences / Hebei Key Laboratory of Water-Saving / Center for Agricultural Resources Research, Institute of Genetics & Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China 2. University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Agricultural Water Resources, Chinese Academy of Sciences / Hebei Key Laboratory of Water-Saving / Center for Agricultural Resources Research, Institute of Genetics & Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China and Key Laboratory of Agricultural Water Resources, Chinese Academy of Sciences / Hebei Key Laboratory of Water-Saving / Center for Agricultural Resources Research, Institute of Genetics & Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China
Abstract:Forest resource is the largest carbon pool in terrestrial ecosystem, which contributes carbon to the global carbon cycle incomparably. The forest ecosystem in northern Hebei Province plays an important role in soil and water conservation, and carbon sink increase. In this study we took broadleaved forest, coniferous forest, mixed forest, economic forest and shrub in northern Hebei Province as objects to research the amount of carbon sequestration in this area by using Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) which referenced by IPCC as a platform. The data was based on original data of the 7th national forest continuous inventory and forest vegetation survey data of the area. Firstly, the literature-volume growth curve equations were created by comparing several growth functions based on the 7th national forest continuous inventory of continuous sample survey data for each forest type, as the driving force for model to simulate forest carbon storage. Secondly, volume-biomass transition equations, conversion parameters and forest biomass components (stem, bark, branch, foliage) proportion parameters of different forest types were estimated using the power function model, and further plotted by collecting a large number literature data in each forest types. And then, forest vegetation carbon storage, carbon density and carbon sequestration rate of different forest types in northern Hebei Province were calculated after the model running, debugging and simulating. The results showed that the fitting coefficients of different forest vegetation growth curve equations were exceeded 0.7. The parameters of fitting coefficient correlations of all volume-biomass transfer equations were exceeded 0.8, and there were significant differences among most proportion equations for biomass components (stem, bark, branch, foliage). By the comparison with estimated results by using measured data, the results of forest vegetation carbon storage, average carbon density and carbon sequestration rate simulated by using CBM-CFS3 were more reasonable. It could provide the basis to evaluate forest vegetation carbon sequestration potential in this area. The total forest vegetation carbon storage and average carbon density in northern Hebei Province in 2010 were 59.66 Tg(C) and 25.05 Mg(C)·hm-2, respectively. The forest vegetation carbon sequestration rate ranged from 0.07 Mg(C)hm-2a-1 to 1.87 Mg(C)hm-2a-1. The carbon storages and average carbon densities of broadleaved forest, coniferous forest, mixed forest, economic forest in northern Hebei Province were 30.97 Tg(C), 12.36 Tg(C), 15.73 Tg(C), 0.60 Tg(C) and 26.09 Mg(C)·hm-2, 26.14 Mg(C)·hm-2, 24.50 Mg(C)·hm-2, 7.53 Mg(C)·hm-2, respectively. The spatial distribution of forest vegetation carbon density and carbon sequestration rate in northern Hebei Province showed an increase trend from northwest to southeast. After the forestation and afforestation, the area of forest increased by 6 400 km2, and forest vegetation carbon storage increased 19.54 Tg(C) (not include shrub) in the study area. The potential ability of forest vegetation carbon sequestration in this area will increased quickly in future, because of its young-middle age forest structure. Therefore, afforestation played an important role in increasing forest vegetation carbon storage and carbon sequestration rate.
Keywords:Northern Hebei Province  Model CBM-CFS3  Forest vegetation  Carbon storage  Carbon density  Carbon sequestration rate
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