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《Journal of Sichuan Forestry Science and Technology》 2011-06
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A Study of Carbon Storage Distribution Patterns of typical Pinus massoniana Forest Ecosystem in the Three Gorges Reservoir Area

XUE Pei-pei1,2 LI Bin1 WANG Yi-hao1 FENG Da-lan1 ZHU Xiao-long1 LU Bin1 (1.Chongqing Forestry Academy,Ecological Protection and Restoration of Forest of Three Gorges Reservoir Area in Chongqing Municipal Key Laboratories,Chongqing 400036,China;2.Beijing forestry University,Beijing 100083,China)  
Pinus massoniana forest—one of the most important forest types in the Three Gorges Reservoir Area,plays a distinguishing role in maintaining regional carbon balance.Taking Pinus massoniana forest(40 a~45 a) ecosystem in Xintian State Forest Farm for test objects,and according to related literatures of Pinus massoniana forest(40 a~45 a) in Tieshanping State Forest Farm,discussion was made on biomass and carbon distribution patterns in the Three Gorges Reservoir Area in this paper.The results showed that the total biomass of Pinus massoniana forest was about 140.00 t·hm-2,the biomass in arbor layer accounted for over 80.00%.The total carbon storage in Pinus massoniana forest ecosystem of Xintian State Forest Farm and Tieshanping State Forest Farm were 206.28 t·hm-2 and 197.78 t·hm-2,respectively.Vegetation layer was 1/3,soil layer was 2/3.Among vegetation layer,the carbon storage was mainly in arbor layer(73.29 t·hm-2 and 76.06 t·hm-2).The carbon storage of soil layer mainly gathered in the surface,as the soil layer increased,the carbon storage decreased.Compared with studies in other areas,the biomass and carbon storage of Pinus massoniana forest ecosystem in the Three Gorges Reservoir Area were lower than those of other Pinus massoniana forests with similar age.Therefore,reasonable management of Pinus massoniana forest in the Three Gorges Reservoir Area might increase its carbon-fixing capacity.
【Fund】: 重庆市林业科学研究院院立项目(BS0902);; 重庆市科技攻关项目:提升林地生产力复合经营技术研究(CSTC 2009AB1115);; 重庆三峡库区林林生态保护与恢复市级重点实验室(CSTC 2007CA1001)
【CateGory Index】: S718.5
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