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Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.
Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.
These results come from the GLOBAL version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this particular run include the Climatic Research Unit (CRU TS 2.0). Soil texture data came from the International Satellite Land Surface Climatology Project (ISLCP).
Data Provided By:
US Forest Service. PNW Research Station.
Content date:
As simulated for the years 2070-2099.
Citation:
General MC1 citations are:
Daly, C., D. Bachelet, J.M. Lenihan, R.P. Neilson, W. Parton, and D. Ojima, Dynamic simulation of tree-grass interactions for global change studies, Ecological Applications, 10, 449-469, 2000.
Bachelet D, Lenihan JM, Daly C, Neilson RP, Ojima DS, Parton WJ (2001). MC1: A dynamic vegetation model for estimating the distribution of vegetation and associated carbon, nutrients, and water -- technical documentation. Version 1.0. General Technical Report PNW-GTR-508. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. c-minute for the downscaled
Global MC1:
Gonzalez, P., R.P. Neilson, J.M. Lenihan, and R.J. Drapek. 2010. Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change. Global Ecol. Biogeogr. 19. 755-768.
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The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.