caa a22 4500 467886016 CHVBK 20180406152734.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s10021-004-0096-9 doi (NATIONALLICENCE)springer-10.1007/s10021-004-0096-9 The Potential Impact of Agricultural Management and Climate Change on Soil Organic Carbon of the North Central Region of the United States [Elektronische Daten] [Peter Grace, Manuel Colunga-Garcia, Stuart Gage, G. Robertson, Gene Safir] Soil organic carbon (SOC) represents a significant pool of carbon within the biosphere. Climatic shifts in temperature and precipitation have a major influence on the decomposition and amount of SOC stored within an ecosystem. We have linked net primary production algorithms, which include the impact of enhanced atmospheric CO2 on plant growth, to the Soil Organic Carbon Resources And Transformations in EcoSystems (SOCRATES) model to develop a SOC map for the North Central Region of the United States between the years 1850 and 2100 in response to agricultural activity and climate conditions generated by the CSIRO Mk2 Global Circulation Model (GCM) and based on the Intergovernmental Panel for Climate Change (IPCC) IS92a emission scenario. We estimate that the current day (1990) stocks of SOC in the top 10 cm of the North Central Region to be 4692 Mt, and 8090 Mt in the top 20 cm of soil. This is 19% lower than the pre-settlement steady state value predicted by the SOCRATES model. By the year 2100, with temperature and precipitation increasing across the North Central Region by an average of 3.9°C and 8.1 cm, respectively, SOCRATES predicts SOC stores of the North Central Region to decline by 11.5 and 2% (in relation to 1990 values) for conventional and conservation tillage scenarios, respectively. Springer Science+Business Media, Inc., 2006 soil carbon nationallicence simulation nationallicence North Central Region nationallicence climate change nationallicence SOCRATES nationallicence MASIF nationallicence Grace Peter School of Natural Resource Sciences, Queensland University of Technology, 4001, Brisbane, Queensland, Australia aut Colunga-Garcia Manuel Department of Entomology, Michigan State University, 48824, East Lansing, Michigan, USA aut Gage Stuart Department of Entomology, Michigan State University, 48824, East Lansing, Michigan, USA aut Robertson G. W.K. Kellogg Biological Station, Michigan State University, 49060, Hickory Corners, Michigan, USA aut Safir Gene Computational Ecology and Visualization Laboratory, Michigan State University, 48824, East Lansing, Michigan, USA aut Ecosystems Springer-Verlag; www.springer-ny.com 9/5(2006-08-01), 816-827 1432-9840 9:5<816 2006 9 10021 https://doi.org/10.1007/s10021-004-0096-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10021-004-0096-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Grace Peter School of Natural Resource Sciences, Queensland University of Technology, 4001, Brisbane, Queensland, Australia aut NATIONALLICENCE 700 1- Colunga-Garcia Manuel Department of Entomology, Michigan State University, 48824, East Lansing, Michigan, USA aut NATIONALLICENCE 700 1- Gage Stuart Department of Entomology, Michigan State University, 48824, East Lansing, Michigan, USA aut NATIONALLICENCE 700 1- Robertson G. W.K. Kellogg Biological Station, Michigan State University, 49060, Hickory Corners, Michigan, USA aut NATIONALLICENCE 700 1- Safir Gene Computational Ecology and Visualization Laboratory, Michigan State University, 48824, East Lansing, Michigan, USA aut NATIONALLICENCE 773 0- Ecosystems Springer-Verlag; www.springer-ny.com 9/5(2006-08-01), 816-827 1432-9840 9:5<816 2006 9 10021 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer