title: [Characteristics of carbon stock in artificial forest ecosystem in Sichuan Province of China].
abstract: By using forest inventory data in combination with plot measurement, the characteristics of carbon density, stock, and partitioning in artificial forest ecosystem in Sichuan Province of China were studied. The results showed that the carbon density in this forest ecosystem was averagely 161.16 Mg C x hm(-2), being ranked in the order of soil layer (141.64 Mg C x hm(-2)) >tree layer (17.95 Mg C x hm(-2)) >litter layer (1.06 Mg C x hm(-2)) >shrub layer (0.52 Mg C x hm(-2)), and the total carbon stock was 573.57 Tg C, with 63.88 Tg C, 1.836 Tg C, 3.764 Tg C, and 504.09 Tg C, accounting for 11.14%, 0.32%, 0.66%, and 87.88% of the total in tree layer, shrub layer, litter layer, and soil layer, respectively. The carbon density and stock in different artificial forest ecosystems varied from 75.50 Mg C x hm(-2) to 251.74 Mg C x hm(-2) and from 1.21 Tg C to 99.44 Tg C, with the highest and lowest values observed in soil layer and shrub layer, respectively. Comparing with other regions in China, Sichuan Province had a lower carbon density in the tree layer of artificial forest ecosystem, due to the higher proportion of young and middle age forest stands, which implied that a proper management of artificial forest could increase the carbon sequestration in forest ecosystem of Sichuan. To monitor the carbon stock in artificial forest ecosystem at ecosystem level could be helpful to the improvement of the precision of forest carbon sequestration evaluation.
authors.affiliation: College of Forestry and Horticulture, Sichuan Agricultural University, Ya' an 625014, Sichuan, China. lyyxq100@yahoo.com.cn
authors.forename: Cong-de
authors.initials: CD
authors.lastname: Huang
authors.forename: Jian
authors.initials: J
authors.lastname: Zhang
authors.forename: Wan-qin
authors.initials: WQ
authors.lastname: Yang
authors.forename: Guo-qing
authors.initials: GQ
authors.lastname: Zhang
mesh_terms: D002244:Carbon / Q000032:analysis*; D002681:China; D017753:Ecosystem; D012987:Soil / Q000032:analysis*; D014197:Trees / Q000254:growth & development* / Q000502:physiology
chemical_list: D012987:Soil; D002244:Carbon