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(Article of periodic en Anglais - 2014)

Document title

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

Authors(s) and Affiliation(s)

ZHAO M. (1 2) ; YUE T. (1) ; ZHAO N. (1 2) ; SUN X. (3) ; ZHANG X. (4) ;
(1) State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, CHINE
(2) Univ. of Chinese Academy of Sciences, Beijing, CHINE
(3) School of Geography and Tourism, Qufu Normal Univ., Rizhao, CHINE
(4) National Satellite Meteorological Center, China Meteorological Administration, Beijing, CHINE

Abstract

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

Source

Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2014, vol. 24, no2 [pp. 249-268]

Bibliographic references : 31 ref.

Collation : 10 fig., 2 tabl.

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-014-1086-2

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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