SOCRATES—A simple model for predicting long-term changes in soil organic carbon in terrestrial ecosystems |
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Authors: | Peter R Grace Jeffrey N Ladd Stuart H Gage |
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Institution: | a School of Natural Resource Sciences, Queensland University of Technology, Brisbane, Qld 4060, Australia b W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060, USA c 6 Blackwood Avenue, Blackwood, SA 5051, Australia d Department of Crop and Soil Science, Michigan State University, East Lansing, MI 48824, USA e Department of Entomology and Computational Ecology and Visualization Laboratory, Michigan State University, East Lansing, MI 48824, USA |
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Abstract: | The maintenance of soil organic carbon (SOC) in terrestrial ecosystems is critical for long-term productivity. Simulation models of SOC dynamics are valuable tools in predicting the impacts of climate on carbon storage and developing management strategies for the mitigation of greenhouse gas emissions, however, their utility is generally reduced due to need for specific data. The SOCRATES model is a simple process based representation of soil SOC dynamics in terrestrial ecosystems, which requires minimal data inputs and specifically designed to examine the impact of land use and land use change on soil carbon storage. SOCRATES was successful in predicting SOC change at eighteen long-term crop, pasture and forestry trials from North America, Europe and Australasia. These trials ranged from 8 to 86 years in duration, over a wide range of climates and soil types with annual changes in SOC ranging from −3.0 to 4.2%. |
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Keywords: | Soil organic carbon Simulation SOCRATES |
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