The spatial distribution of forest carbon sinks and sources in China |
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Authors: | Liu ShuangNa Zhou Tao Wei LinYan Shu Yang |
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Institution: | [1]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China [2]Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing 100875, China; [3]Key Laboratory of Environmental Change and Natural Disaster, Beijing 100875, China |
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Abstract: | Forest ecosystems play an important role in the global carbon cycle. The implementation of the United Nations Framework Convention
on Climate Change (UNFCCC) and the Kyoto Protocol has made the study of forest ecosystem carbon cycling a hot topic of scientific
research globally. This paper utilized Chinese national forest inventory data sets (for the periods 1984–1988 and 1999–2003),
the vegetation map of China (1:1000000), and the spatially explicit net primary productivity (NPP) data sets derived with
the remote sensing-based light use efficiency model (CASA model). We quantitatively estimated the spatial distribution of
carbon sinks and sources of forest vegetation (with a resolution of 1 km) using the spatial downscaling technique. During
the period 1984 to 2003 the forest vegetation in China represented a carbon sink. The total storage of carbon increased by
0.77 PgC, with a mean of 51.0 TgC a−1. The total carbon sink was 0.88 PgC and carbon source was 0.11 PgC during the study period. The carbon sink and carbon source
of forest vegetation in China showed a clear spatial distribution pattern. Carbon sinks were mainly located in subtropical
and temperate regions, with the highest values in Hainan Province, Hengduan mountain ranges, Changbai mountain ranges in Jilin,
and south and northwest of the Da Hinggan Mountains; carbon sources were mainly distributed from the northeast to southwestern
areas in China, with the highest values mainly concentrated in southern Yunnan Province, central Sichuan Basin, and northern
Da Hinggan Mountains. Increase in NPP was strongly correlated with carbon sink strength. The regression model showed that
more than 80% of the variation in the modeled carbon sinks in Northeast, Northern, Northwest and Southern China were explained
by the variation in NPP increase. There was a strong relationship between carbon sink strength and forest stand age. |
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Keywords: | forest carbon sinks carbon sources downscaling spatial distribution China |
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