Simulation of terrestrial carbon equilibrium state by using a detachable carbon cycle scheme |
| |
| Affiliation: | 1. Department of Ecology, School of Life Science, Nanjing University, Nanjing, PR China;2. Hutai Middle School, Xining, PR China;3. Department of Environmental Sciences, Faculty of Agricultural and Environment, The University of Sydney, Sydney, Australia;4. The Center for Global Change & Earth Observations, Michigan State University, East Lansing, USA;1. International Livestock Research Institute, Livestock and Irrigation Value Chains for Ethiopian Smallholders (LIVES), P. O. B. 1924, Mekelle, Ethiopia;2. Agroecology in the Tropics and Subtropics, University of Hohenheim, Garbenstr 13, 70599, Stuttgart, Germany;1. School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;2. Soil Science Discipline, Khulna University, Khulna 9208, Bangladesh;3. NSW Office of Environment and Heritage, (P.O. Box U221), Armidale, NSW 2351, Australia;1. Freeman Cook & Associates Pty Ltd, PO Box 97, Glass House Mountains, QLD 4518, Australia;2. The University of Queensland, School of Agriculture and Food Sciences, St Lucia, QLD 4072, Australia;3. Griffith University, Environmental Futures Research Institute, Nathan, QLD 4111, Australia;4. Agresearch, Lincoln Research Centre, Private Bag 4749, Christchurch 8140, New Zealand;5. Lincoln University, Department of Soil and Physical Sciences, PO Box 84, Lincoln 7647, New Zealand;1. UN Food and Agriculture Organization, Rome, Italy;2. Commonwealth Scientific and Industrial Research Organization, St.Lucia, Queensland, Australia;3. Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, United States;4. International Livestock Research Institute, Nairobi, Kenya;1. Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;2. Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China |
| |
| Abstract: | Determining the equilibrium state of terrestrial carbon is a prerequisite for scientific analysis on the carbon cycle. However, the mechanism through which the carbon cycle reaches the equilibrium state remains unclear. Moreover, the carbon cycle in most of the short–term field experiments rarely reaches the equilibrium state. In this study, a detachable carbon cycle (DCC) model was proposed to simulate the equilibrium state of each carbon pool. The model was established based on a pool–and–flux scheme and contained 14 carbon pools, or carbon flow processes, each process could be detached from the main model and evaluated as an independent component. The environmental scalar algorithms of the Integrated Terrestrial Ecosystem Carbon budget model (InTEC) and Community Atmosphere Biosphere Land Exchange (CABLE) were incorporated in the DCC model. Four situations were compared using the two environmental scalar algorithms and model structure (9 vs. 14 carbon pools). Furthermore, the size and turnover time of each carbon pool were analyzed at the equilibrium state. A sensitivity analysis was then conducted to investigate the responses of carbon density and equilibrium time to 12 key parameters of the model. Results indicated that the combination of the CABLE environmental scalar algorithm and 14 pools exhibited improved performance on carbon storage simulation than that of the other combinations, and the effect of the environmental scalar algorithm was considerably larger than that of the carbon pool number. Sensitivity analysis indicated that the carbon density of grassland and cropland was more vulnerable and sensitive to key parameters of the model than that of the other biomes. This study elucidates influencing factors and underlying control mechanisms in the carbon accumulation, and provides a framework for quantitative analysis of each component of the carbon cycle. |
| |
| Keywords: | Carbon pool Turnover time Detachable carbon cycle model Carbon storage |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
