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These data are forecast barren land change under the PCM A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the GFDL B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the GFDL B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
Climate change has significant effects on critical ecosystem functions such as carbon and water cycling. Vegetation and especially forest ecosystems play an important role in the carbon and hydrological cycles. Vegetation models that include detailed belowground processes require accurate soil data to decrease uncertainty and increase realism in their simulations. The MC2 DGVM uses three modules to simulate biogeography, biogeochemistry and fire effects, all three of which use soil data either directly or indirectly. This study includes a correlation analysis of the MC2 model to soil depth by comparing a subset of the model’s carbon and hydrological outputs using soil depth data of different scales and qualities....
Categories: Data,
Publication;
Types: Citation;
Tags: Carbon,
Climate change,
Correlation analysis,
DGVM,
LCC Network Science Catalog,
These data are forecast barren land change under the PCM B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the GFDL A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the GFDL A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
MC1 results were produced for the MsTMIP (Multi-scale Synthesis and Terrestrial Model Intercomparison Project: http://nacp.ornl.gov/MsTMIP.shtml). This dataset shows net ecosystem productivity simulated by MC1 for the spinup phase for the conterminous US at 0.5 degree resolution. Input data come from CRU (http://www.cru.uea.ac.uk/). In this case, spinup climate is a random sequence of 100 years chosen from the period 1901-1930. The results were aggregated by 25 year-periods for the animation. For display purposes, the start date for this time sequence was set to January 1, 1900.
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
These data are forecast barren land change under the GFDL A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
These data are forecast barren land change under the PCM B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
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