2010
DOI: 10.1007/s11427-010-4030-4
|View full text |Cite
|
Sign up to set email alerts
|

Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships

Abstract: China's forests are characterized by young forest age, low carbon density and a large area of planted forests, and thus have high potential to act as carbon sinks in the future. Using China's national forest inventory data during 1994-1998 and 1999-2003, and direct field measurements, we investigated the relationships between forest biomass density and forest age for 36 major forest types. Statistical approaches and the predicted future forest area from the national forestry development plan were applied to es… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
112
1

Year Published

2010
2010
2018
2018

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 122 publications
(118 citation statements)
references
References 18 publications
5
112
1
Order By: Relevance
“…Xu et al. (2010) have proved that the growth curves of forest volume method performed well in predicting the forest biomass C stocks dynamic at national scale. However, the estimation of future forest biomass C sequestration potential of GGP still has large difference (Deng, Liu, et al., 2017).…”
Section: Discussionmentioning
confidence: 97%
“…Xu et al. (2010) have proved that the growth curves of forest volume method performed well in predicting the forest biomass C stocks dynamic at national scale. However, the estimation of future forest biomass C sequestration potential of GGP still has large difference (Deng, Liu, et al., 2017).…”
Section: Discussionmentioning
confidence: 97%
“…With the implementation of national afforestation and reforestation programs since the late 1970s, such as the Three-North Protective Forest Program, the Natural Forest Conservation Program, and the Wetland Restoration Program, forest ecosystems in China are credited to have made a significant contribution to regional and global C sinks in recent decades (Fang et al, 2001(Fang et al, , 2014aFang and Chen, 2001;Lei, 2005;Xu et al, 2010;Pan et al, 2011;Guo et al, 2013). Based on the biomass expansion factor (BEF) method and China's forest inventory data, Guo et al (2013) estimated the spatiotemporal changes in the forest biomass C sink from 1977 to 2008 and concluded that the annual biomass C sink (70.2 Tg C yr −1 , 1 Tg = 10 12 g) offset 7.8 % of the contemporary CO 2 emissions in the country.…”
Section: Introductionmentioning
confidence: 99%
“…During the study period (1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003), among the different age groups, the variation in carbon density of half-mature forest and large sapling forest was maximal and their carbon-sink intensity was highest; in contrast, variation in carbon density of near-mature forest and mature forest was relatively minor and that of overmature forest was the lowest (Figure 4). Figure 4 reflected relationship between the variation in carbon density and forest age, What are the same relationship by Logistic Model [43].…”
Section: Relationship Between Carbon Sinks and Forest Agementioning
confidence: 63%
“…In addition, forest age affects the distribution of organic compounds and biomass accumulation [42]. Thus forest age is a key parameter for simulation and prediction of the potential of carbon sinks in forest vegetation [8,43].…”
Section: Relationship Between Carbon Sinks and Forest Agementioning
confidence: 99%