Research Article | OPEN ACCESS
Modelling the Responses of Carbon Fluxes to Climate Change in Northeast China Forests using IBIS
Xi Liu and Jingwei Liu
1Center for Ecological Research
2Ecological Civilization Research Center, Northeast Forestry University, Hexing 26,
Harbin 150040, China
Advance Journal of Food Science and Technology 2013 6:655-660
Received: September 18, 2012 | Accepted: December 14, 2012 | Published: June 05, 2013
Abstract
Assessing the long-term exchange of carbon dioxide between terrestrial and the atmosphere is an important priority of the current climate change research. In this regard, it is particularly significant to provide valid data on fluxes of carbon over representative ecosystems. In this study, we used a modified process-based terrestrial ecosystem model (Integrated Biosphere Simulator, IBIS), which represents biogeochemical and biophysical process, coupling the carbon, nitrogen and water cycles on each specific time steps, to generalize our understanding of the temporal and spatial variability of Net Primary Productivity (NPP), Net Ecosystem Productivity (NEP) and Soil Respiration (RS) over northeast China to climate change for the period 1961 to 2080. The model results demonstrate a powerful approach to integrate and expand our knowledge of climate changes on northeast China forest carbon dynamics now and in the future.
Keywords:
Climate change, integrated biosphere simulator, net ecosystem productivity, net primary productivity, northeast China, soil respiration,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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