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The stage-classified matrix models project a significant increase in biomass carbon stocks in China’s forests between 2005 and 2050

China’s forests are characterized by young age, low carbon (C) density and a large plantation area, implying a high potential for increasing C sinks in the future. Using data of provincial forest area and biomass C density from China’s forest inventories between 1994 and 2008 and the planned forest...

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Detalles Bibliográficos
Autores principales: Hu, Huifeng, Wang, Shaopeng, Guo, Zhaodi, Xu, Bing, Fang, Jingyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480144/
https://www.ncbi.nlm.nih.gov/pubmed/26110831
http://dx.doi.org/10.1038/srep11203
Descripción
Sumario:China’s forests are characterized by young age, low carbon (C) density and a large plantation area, implying a high potential for increasing C sinks in the future. Using data of provincial forest area and biomass C density from China’s forest inventories between 1994 and 2008 and the planned forest coverage of the country by 2050, we developed a stage-classified matrix model to predict biomass C stocks of China’s forests from 2005 to 2050. The results showed that total forest biomass C stock would increase from 6.43 Pg C (1 Pg = 10(15) g) in 2005 to 9.97 Pg C (95% confidence interval: 8.98 ~ 11.07 Pg C) in 2050, with an overall net C gain of 78.8 Tg C yr(−1) (56.7 ~ 103.3 Tg C yr(−1); 1 Tg = 10(12) g). Our findings suggest that China’s forests will be a large and persistent biomass C sink through 2050.