基于LPJ-GUESS模型的鸡公山马尾松林生产力和碳动态

doi:10.11707/j.1001-7488.20130402

Scientia Silvae Sinicae ›› 2013, Vol. 49 ›› Issue (4): 7-8.doi: 10.11707/j.1001-7488.20130402

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Productivity and Carbon Dynamic of the Masson Pine Stands in Jigongshan Region Based on LPJ-GUESS Model

Feng Xiaohui^1,2, Cheng Ruimei¹, Xiao Wenfa¹, Wang Ruili¹, Wang Xiaorong³, Liu Zebin¹

1. Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry Key Laboratory of Forest Ecology and Environment, State Forestry Administration Beijing 100091;2. Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences Shijiazhuang 050021;3. Hubei Academy of Forestry Wuhan 470039

Received:2012-03-10 Revised:2013-03-08 Online:2013-04-25 Published:2013-04-25

Abstract

Abstract: In this paper, we used the dynamic vegetation model LPJ-GUESS to simulate the carbon dynamic of Masson pine (Pinus massoniana) pure stands and Masson pine-broadleaf mixed stands in Jigongshan region under different climate change scenario. Results showed that the simulation was well fitted with the actual results. To 2100, the net primary productivity and carbon biomass of the two types of Masson pine stands both will increase under the climate change scenarios of SRES A2 and B2. Meanwhile the soil respiration rate will increase, soil carbon storage will gradually reduce, and the ecosystem carbon exchange will maintain balance. The simulation of LPJ-GUESS model to the growth dynamic of Masson pine stands in subtropical region was reasonable, thus the model can be extendedly applied in sub-tropical regions.

Key words: Pinus massoniana, LPJ-GUESS model, climate change, carbon dynamic

CLC Number:

S716.3

Feng Xiaohui;Cheng Ruimei;Xiao Wenfa;Wang Ruili;Wang Xiaorong;Liu Zebin. Productivity and Carbon Dynamic of the Masson Pine Stands in Jigongshan Region Based on LPJ-GUESS Model[J]. Scientia Silvae Sinicae, 2013, 49(4): 7-8.

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Productivity and Carbon Dynamic of the Masson Pine Stands in Jigongshan Region Based on LPJ-GUESS Model

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