Skip to main content
Advanced Search

Filters: Tags: Science Tools For Managers (X) > Types: Raster (X)

23 results (34ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Data points intensively sampling 46 North American biomes were used to predict the geographic distribution of biomes from climate variables using the Random Forests classification tree. Techniques were incorporated to accommodate a large number of classes and to predict the future occurrence of climates beyond the contemporary climatic range of the biomes. Errors of prediction from the statistical model averaged 3.7%, but for individual biomes, ranged from 0% to 21.5%. In validating the ability of the model to identify climates without analogs, 78% of 1528 locations outside North America and 81% of land area of the Caribbean Islands were predicted to have no analogs among the 46 biomes. Biome climates were projected...
thumbnail
The USGS National Climate Change and Wildlife Science Center (NCCWSC), as part of the work of the Interagency Land Management Adaptation Group (ILMAG), initiated a project in 2013 to develop plans for a searchable, public registry on climate change vulnerability assessments. Member agencies from the USGCRP Adaptation Science Work Group, the Association of Fish and Wildlife Agencies (AFWA), and several NGO’s also contributed. Vulnerability assessments are important for identifying resources that are most likely to be affected by climate change and providing insights on why certain resources are vulnerable. Consequently, they provide valuable information for informing climate change adaptation planning. CRAVe allows...
thumbnail
This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers, resistance, cost-weighted distance, landscape integrity networks,...
This project gallery includes all project reports and associated assessment materials, including interactive and downloadable connectivity and climate datasets for the project " Creating Practitioner-driven, Science-based Plans for Connectivity Conservation in a Changing Climate: A Collaborative Assessment of Climate-Connectivity Needs in the Washington-British Columbia Transboundary Region".
thumbnail
PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of 1950-2100. The variables available include minimum temperature, maximum temperature, and precipitation. These downscaling outputs are based on Global Climate Model (GCM) projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and historical daily gridded climate data for Canada.​​ Statistical properties and spatial patterns of the downscaled scenarios are based on this gridded observational dataset, which represents one approximation of the actual historical climate. Gridded values may differ from climate stations and biases may...
thumbnail
Cold-induced mortality is a key factor driving mountain pine beetle( Dendroctonus ponderosae) population dynamics. In this species, the supercooling point (SCP) is representative of mortality induced by acute cold exposure. Mountain pine beetle SCP and associated cold-induced mortality fluctuate throughout a generation, with the highest SCPs prior to and following winter. Using observed SCPs of field-collected D. ponderosae larvae throughout the developmental season and associated phloem temperatures, we developed a mechanistic model that describes the SCP distribution of a population as a function of daily changes in the temperature-dependent processes leading to gain and loss of cold tolerance. It is based on...
thumbnail
These two datasets represent a normalized least-cost corridor mosaic (see WHCWG 2010 and McRae and Kavanagh 2011) calculated using (1) temperature gradients and a landscape integrity resistance raster, or (2) temperature gradients only, following the climate gradient linkage-modeling methods outlined in Nuñez (2011), using an adapted version of the Linkage Mapper software (McRae and Kavanagh 2011). This GIS dataset is one of several climate connectivity analyses produced by Tristan Nuñez for a Master's thesis (Nuñez 2011). The dataset was produced in part to assist the Climate Change Subgroup of the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The core areas in the map lie in Washington State...
thumbnail
This raster combines linkages developed from four landscape integrity-derived resistance surfaces: linear, low sensitivity, medium sensitivity, and high sensitivity. See Section 2.5.2 WHCWG (2012) for additional information pertaining to development of the four landscape integrity-derived resistance rasters. Adjacent core areas within 100 km Euclidean distance of one another were connected. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the...
thumbnail
Projected current and future distributions of two tree species, Pinus albicaulis (Whitebark pine), Artemisia tridentata (Big Sagebrush), based on empirical bioclimatic models. Many recent changes in tree mortality, tree species distributions, and tree growth rates have been linked to changes in climate. Given that future climatic changes will likely surpass those experienced in the recent past, trees will likely face additional challenges as temperatures continue to rise and precipitation regimes shift. Managing forests in the face of climate change will require a basic understanding of which tree species will be most vulnerable to climate change and in what ways they will be vulnerable. We assessed the relative...
thumbnail
These 1830 maps contain projected current and future change in habitat suitability for 366 species under the Third Generation Coupled Global Climate Model (CGCM 3.1) and Hadley Centre Coupled Model, version 3 (HADCM3). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution...
thumbnail
Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway...
Categories: Data; Types: GeoTIFF, Raster; Tags: Birds, Brewer's Sparrow (Spizella breweri), Brown Creeper (Certhia americana), Chipping Sparrow (Spizella passerina), Data Visualization & Tools, All tags...
thumbnail
This raster was clipped from the raw NLCC raster for this species according to the linkage width cutoff listed in Table 2.2 WHCWG (2012). As with the statewide analysis (see WHCWG 2010), the normalized least-cost corridor algorithms produced wall-to-wall linkage maps, with everygrid cell in the study area having a value that represented its deviation from the nearest least-cost movement route. This necessitated creating maps that displayed only values from zero (the optimum modeled route) to a species-specific linkage width cutoff to identify areas that contribute most to connectivity between each HCA pair. Because of the smaller extent of this analysis and the finer-scale data that were available, we chose cutoff...
thumbnail
This map contains projected habitat suitability for the greater sage-grouse (centrocercus urophasianus) under the Third Generation Coupled Global Climate Model (CGCM 3.1). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the...
thumbnail
Projected current and future potential distribution for the following vertebrate species: American Black Bear (Ursus americanus), American Marten (Martes americana), Canadian Lynx (Lynx canadensis), Lewis's Woodpecker (Melanerpes lewis), Mule Deer (Odocoileus hemionus), Tiger Salamander (Ambystoma tigrinum), Wolverine (Gulo gulo), based on correlative bioclimatic models and projected changes in vegetation biomes. Bioclimatic models were built using the Random Forest algorithm. Projected changes in vegetation were also modeled using the Random Forest algorithm but were produced by Rehfeldt et al. (2012). Projected current distribution is based on the average climate conditions for the years 1961-1990. Projected future...
thumbnail
This map contains historical habitat suitability for the greater sage-grouse (centrocercus urophasianus). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent, using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the resulting climate suitability projections by applying a filter that...
thumbnail
The Energy Release Component (ERC) is a calculated output of the National Fire Danger Rating System (NFDRS). The ERC is a number related to the available energy (BTU) per unit area (square foot) within the flaming front at the head of a fire. The ERC is considered a composite fuel moisture index as it reflects the contribution of all live and dead fuels to potential fire intensity. As live fuels cure and dead fuels dry, the ERC will increase and can be described as a build-up index. The ERC has memory. Each daily calculation considers the past 7 days in calculating the new number. Daily variations of the ERC are relatively small as wind is not part of the calculation. The ERC is projected to the 2050s using three...
thumbnail
Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We used output from MC2, a dynamic global vegetation model (DGVM), and climate models to inform the potential distribution of vegetation types based on hybrid vegetation maps dervied from the GAP vegetation classification system. These hybrid vegetation models were then used to inform bird distribution models0. The data covers three time periods (1970-1999), (2035-2064), and (2070-2099) for 59...
Categories: Data; Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Birds, Birds, California Central Valley Mixed Oak Savanna, California Central Valley Riparian Woodland and Shrubland, California Coastal Live Oak Woodland and Savanna, All tags...
thumbnail
Projected change from historical (1950-2005) in several hydrometerological variables under three Global Circulation Models for two time periods (2050s and 2080s) under RCP 8.5. This metadata record documents multiple individual datasets, specifically the change from historical (1950-2005) for 12 hydrometerological variables projected by 3 Global Circulation Models (GCM) over 2 future time periods, for one Representative Concentration Pathway (RCP 8.5) The variables are: Water Deficit, Spring (March-May) Water Deficit, Summer (July-September) Potential Evapotranspiration, Spring (March-May) Potential Evapotranspiration, Summer (July-September) Total Runoff, Summer (June-August) Total Runoff, Spring (March-May)...
thumbnail
These maps indicate the magnitude of multivariate climate change using the standardized Euclidean distance (SED). This metric allows the magnitude of climate change to be analyzed with respect to historical interannual variability for each climate variable. Standardizing climate change in this way allows multiple climate variables with different units to be combined into a single index, but more importantly, it places the magnitude of projected change in the perspective of what species have had to tolerate over recent history. These maps are based on multiple climate models ( CanESM2, MIROC5, MIROC_ESM_CHEM, and MRI_CGCM3 climate models ) for the periods 2035-2064 and 2070-2099 and are based on bioclimatic variables...
thumbnail
Future climate change may significantly alter the distributions of many plant taxa. The effects of climate change may be particularly large in mountainous regions where climate can vary significantly with elevation. Understanding potential future vegetation changes in these regions requires methods that can resolve vegetation responses to climate change at fine spatial resolutions. This research was projected using three models: cgcm31, hadley, and current. We used LPJ, a dynamic global vegetation model, to assess potential future vegetation changes for a large topographically complex area of the northwest United States and southwest Canada (38.0–58.0°N latitude by 136.6–103.0°W longitude). LPJ is a process-based...


map background search result map search result map Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability Projected past and future habitat suitability for 366 species, 1961-2099, using CGCM31 and HADCM3 climate models Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model Normalized least-cost corridors, statewide analysis for six vertebrae species in the Pacific Northwest Projected habitat suitability for several vertebrate species in the Pacific Northwest based on projected climatic suitability, projected vegetation, and current land use Normalized least cost corridors, Columbia Plateau analysis for two species in the Pacific Northwest Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Projected current and future distributions for Big Sagebrush and Whitebark Pine tree species the Pacific Northwest Landscape integrity HCA and corridors from four integrity-derived resistance surfaces Statistically down-scaled climate scenarios for the simulated period of 1950-2100 for the Northwest US and British Columbia, Canada Integrated scenarios of the future Northwest U.S. environment: hydrometerological projections for 2050s and 2080s, CMIP5 models, RCP 8.5 North American vegetation model data for land-use planning in a changing climate: Normalized least-corridor mosaic using temperature gradients and landscape integrity resistance Change from Historical in Number of Days with High Fire Risk (Energy Release Component > 95th percentile), RCP8.5, 2050s Projected future vegetation changes for the Northwest United States and Southwest Canada at a fine spatial resolution using a dynamic global vegetation model Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Climate Change Maps Normalized least cost corridors, Columbia Plateau analysis for two species in the Pacific Northwest Landscape integrity HCA and corridors from four integrity-derived resistance surfaces Change from Historical in Number of Days with High Fire Risk (Energy Release Component > 95th percentile), RCP8.5, 2050s Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Normalized least-cost corridors, statewide analysis for six vertebrae species in the Pacific Northwest Normalized least-corridor mosaic using temperature gradients and landscape integrity resistance Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Climate Change Maps Integrated scenarios of the future Northwest U.S. environment: hydrometerological projections for 2050s and 2080s, CMIP5 models, RCP 8.5 North American vegetation model data for land-use planning in a changing climate: Projected current and future distributions for Big Sagebrush and Whitebark Pine tree species the Pacific Northwest Projected future vegetation changes for the Northwest United States and Southwest Canada at a fine spatial resolution using a dynamic global vegetation model Projected habitat suitability for several vertebrate species in the Pacific Northwest based on projected climatic suitability, projected vegetation, and current land use Statistically down-scaled climate scenarios for the simulated period of 1950-2100 for the Northwest US and British Columbia, Canada Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Projected past and future habitat suitability for 366 species, 1961-2099, using CGCM31 and HADCM3 climate models Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability