Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China

Auteur(s) et Affiliation(s)

ZHAO, M.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

Univ. of Chinese Academy of Sciences, Beijing, Chine

YUE, T.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

ZHAO, N.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

Univ. of Chinese Academy of Sciences, Beijing, Chine

SUN, X.

School of Geography and Tourism, Qufu Normal Univ., Rizhao, Chine

ZHANG, X.

National Satellite Meteorological Center, China Meteorological Administration, Beijing, Chine

Description :
This paper, based on High Accuracy Surface Modeling (HASM), proposes a forest vegetation carbon storage simulation method. This new method employs the output of LPJ-GUESS model as initial values of HASM and uses the inventory data as sample points of HASM to simulate the distribution of forest carbon storage in China. This study also adopts the seventh forest resources statistics of China as the data source to generate sample points, and it also works as the simulation accuracy test. The simulation result indicates that the southwestern mountain region and the northeastern forests are the important forest carbon reservoirs in China. Compared with the former value (1975-1995), it manifests that the carbon storage of the 2 regions do increase clearly. The results of this research show that the large-scale reforestation in the last decades in China attains a significant carbon sink.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2014, vol. 24, n°. 2, p. 249-268, nombre de pages : 20, Références bibliographiques : 31 ref.

Date :
2014

Editeur :
Pays édition : Chine

Langue :
Anglais