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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
This product is one of a set of mapped model simulation results generated for a project called "Global Climate Change and California: Potential Implications for Ecosystems, Health, and the Economy". The project was conducted by the Electrical Power Research Institute (EPRI) and funded by the California Energy Commission's Public Interest Energy Research (PIER) Program. The project was the most detailed study ever undertaken on the potential effect of climate change on California. The work examined a broad array of potentially affected sectors as well as the interactions between climate change and increased population, economic growth, and technological change. It considered a wide range of climate change scenarios,...
This product is one of a set of mapped model simulation results generated for a project called “Global Climate Change and California: Potential Implications for Ecosystems, Health, and the Economy”. The project was conducted by the Electrical Power Research Institute (EPRI) and funded by the California Energy Commission’s Public Interest Energy Research (PIER) Program. The project was the most detailed study ever undertaken on the potential effect of climate change on California. The work examined a broad array of potentially affected sectors as well as the interactions between climate change and increased population, economic growth, and technological change. It considered a wide range of climate change scenarios,...
These data identify, in general, the areas where final critical habitat for Castilleja cinerea (Ash-gray Indian paintbrush) occur.
Winter (January – March) precipitation averaged over 2046-2065 from the general circulation model PCM1 (Washington et al. 2000; Meehl et al. 2003) under the A2 emission scenario with a grid cell size of 10 km x 10km. References: Meehl, G.A., W.M. Washington, T.M.L. Wigley, J.M. Arblaster, and A. Dai. 2003. Solar and greenhouse gas forcing and climate response in the twentieth century. J Climate 16:426–444. Washington, W.M., J.W. Weatherly, G.A. Meehl, A.J. Semtner, T.W. Bettge, A.P. Craig, W.G. Stran, J. Arblaster, V.B. Wayland, R. James , and Y. Zhang. 2000. Parallel climate model (PCM) control and transient simulations. Clim Dyn 16: 755–774.
Winter (January – March) precipitation (mm) averaged over 2046-2065 from the general circulation model Hadley CM3 (Gordon et al. 2000, Pope et al. 2000) downscaled to a grid cell size of 10 km x 10km. References: Gordon C., C. Cooper , C.A. Senior, H. Banks, J.M. Gregory, T.C. Johns , J.F.B. Mitchell, and R.A. Wood. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168. Pope, V.D., M.L. Gallani, P.R. Rowntree, and R.A. Stratton. 2000. The impact of new physical parameterisations in the Hadley Centre climate model – HadAM3. Clim Dyn 16:123–146.
Future (2046-2065) predicted probability of fisher year-round occurrence projected under the A1fi emissions scenario with the Hadley CM3 GCM model (Gordon et al. 2000, Pope et al. 2000). Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of...
Description: Predicted probability of fisher year-round occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated with MC1 (Hayhoe et al. 2004) and climate variables were provided by the PRISM GROUP (Daly et al. 1994). This...
This dataset shows the locations of sensitive plant species mapped by CBI on the Crestridge Ecological Reserve in 2009.
Annual precipitation (mm) averaged over 1986 – 2005, simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) at a 4 km x 4 km spatial resolution using PRISM climate for the historical period. This effort is part of a pilot project to apply and evaluate the Yale Framework (Yale Science Panel for Integrating Climate Adaptation and Landscape Conservation Planning). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model).
The source of this coverage data set is the fish biodiversity maps created for The Nature Conservancy (TNC) as part of their Hexagon Project. Professor Peter Moyle and his graduate student, Paul Randall, of the Department of Wildlife and Fisheries Conservation Biology at the University of California, Davis were hired to produce range maps for all known fish species that presently occur in California. Each coverage denotes a separate fish species (refer to the species coverage key below). The polygons are estimated to be accurate at a scale of roughly 1:1,000,000. Other California fish species distributions can be found in a gallery at: http://app.databasin.org/app/pages/galleryPage.jsp?id=099b47b7394f47b6b42764829e8a8f09
Simulated fraction of vegetation carbon in forest averaged over 2076-2095 simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) at a 800 m x 800 m spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case Hadley CM3 (Johns et al. 2003) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 800 m historical baseline (Daly et al. 2008). Note: The MC1 model is described in data basin...
Simulated fraction of vegetation carbon in forest averaged over 2046-2065 simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) at a 800 m x 800 m spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case CSIRO Mk3 A2 (Gordon 2002) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 800 m historical baseline (Daly et al. 2008). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetati...
Predicted probability of marten year-round occurrence derived from future (2076-2095) climate projections and vegetation simulations. Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 102, spanning 1993 – 2011) and eight predictor variables: mean potential evapotranspiration, mean annual precipitation, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, understory index (fraction of grass vegetation carbon in forest), average maximum tree LAI, and modal vegetation class. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections,...
Future winter (January – March) precipitation (mm; averaged over 2046-2065) at a 4 km x 4 km spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case MIROC 3.2 medres (Hasumi and Emori 2004) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 4km historical baseline (Daly et al. 1994). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model)....
Clay percentage was summarized from SSURGO and STATSGO tabular data, joined to source feature data from the NRCS, and then converted to an 800m raster using the cell center to assign the values. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified...
Clay percentage was summarized from SSURGO and STATSGO tabular data, joined to source feature data from the NRCS, and then converted to an 800m raster using the cell center to assign the values. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified...
This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting...
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