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This data set describes the predicted daily climate (temperature and rainfall) for low, mid, and high-elevations on Mona Loa, Island of Hawaii from 2098-2100. Climate predictions are based on 3 alternative climate scenarios (RCP 4.5, A1B, and RCP 8.5) - see Liao et al. 2015 for more details and climate references. The predicted daily risk of susceptible Hawaiian honeycreepers are based on the daily climate data, mosquito abundance and other factors. Also see Samuel et al. 2011 The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecological Applications 21:2960-2973 for description of the epidemiological model used for avian malaria risk predictions.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Birds,
Culex mosquitoes,
Downscaled climate models,
Hawaiian honeycreepers,
Mona Loa,
The TopoWx ("Topography Weather") gridded dataset contains historical 30-arcsec resolution (~800-m) interpolations of minimum and maximum topoclimatic air temperature for the conterminous U.S. Using both DEM-based variables and MODIS land skin temperature as predictors of air temperature, interpolation procedures include moving window regression kriging and geographically weighted regression. This temperature set was created independently of the NCCWSC funded project, "Can Camouflage Keep up with Climate Change? Connecting Downscaled Climate Models to Adaptation for a Key Forest Species", but was in part motivated by the project.
These data represent the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University
Categories: Data;
Tags: Birds,
Data Layers,
ESRI,
SERAP,
South Atlantic Landscape Conservation Cooperative,
Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE. In total, 29 of 30 Gallatin meadow sites and 21 of 25 Teton meadow sites were positively located.Identifying meadow pixels for analysisThe native MODIS 250-meter grid was reprojected...
Categories: Data;
Types: Citation;
Tags: Greater Yellowstone Ecosystem,
MODIS,
NDVI,
North Central CASC,
Plants,
Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE. In total, 29 of 30 Gallatin meadow sites and 21 of 25 Teton meadow sites were positively located.Identifying meadow pixels for analysisThe native MODIS 250-meter grid was reprojected...
Categories: Data;
Types: Citation;
Tags: Greater Yellowstone Ecosystem,
MODIS,
MODIS NDVI,
North Central CASC,
Plants,
This data set provides the abiotic water balance variables used for species distribution modelings for Pinus albicaulis within the Greater Yellowstone Ecosystem
Categories: Data;
Tags: Data Visualization & Tools,
Geospatial dataset,
Idaho,
Montana,
North Central CASC,
This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
Categories: Data;
Types: Citation;
Tags: Birds,
CMR,
Charles M. Russell National Wildlife Refuge,
Data Visualization & Tools,
Landcover,
Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of...
Categories: Data;
Types: Citation;
Tags: Birds,
Charles M. Russel Wildlife Refuge,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Historical and projected suitable habitat of 14 tree and shrub species a under CCSM4 GCMs from 2000 to 2099 was predicted to assess projected climate change impacts in forest communities of North Central U.S. We obtained presence/absence record of each species from Forest Inventory and Analysis (FIA) data. required ata. Historical tme period ranges from 1971 to 2000, and projected time period ranges from 2071 to 2100. Random Forest was used to project historical and future suitable habitat of all species across West U.S. using the Biomod2 software programmed in R environment. We adopted a climate change scenarios generated from the experiments conducted under fifth assessment of Coupled Model Intercomparison Project...
(1) This written report summarizes and synthesizes results of literature review, interviews, and workshops, providing the scientific basis for and extension strategies for the management recommendations provided in the "green website" [Data Input New Collection]. The report includes an addendum regarding reference bibliographies and a references list with citations. (2) Selected, unusual references that are not readily available online or through standard academic sources were collected by the project. (3) Selected photographs are retained by the project in electronic form.
Categories: Data;
Tags: Data Visualization & Tools,
Indigenous Peoples,
Landscapes,
Other Landscapes,
Pacific Islander Indigenous Communities,
Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: 2061-2080,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Landscapes,
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Data are a list of points in comma separated text format. Point coordinates are the center of each 1 km grid cell.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Mammals,
National CASC,
Wildlife and Plants
Density estimates of four mammal species in the upper subalpine and alpine zones of the Sierra Nevada range, 2008 - 2012. The estimates were derived from variable distance data collected 3-4 per year along each of 21 transects (10 km in length). The transects were randomly selected from a pool of 53 potential routes. Nine transects were sampled in 2008, 12 were sampled in 2009, 19 were sampled in 2010, 21 were sampled in 2011, and 17 were sampled in 2012. All counts were done in July and August each year. Replicate samples within a given year were done within 2-8 days of each other. All counts were done by single observers. The spreadsheet has six worksheets, including three with density estimates for each species...
Categories: Data;
Tags: Abundance,
Alpine,
Belding's ground squirrel,
Distance sampling,
Golden-mantled ground squirrel,
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Categories: Data;
Types: ArcGIS Map Package,
Citation,
Downloadable;
Tags: Connectivity,
Environment and Conservation,
Forests,
Grasslands and Plains,
Idaho,
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Categories: Data;
Types: ArcGIS Map Package,
Citation,
Downloadable;
Tags: Alpine,
Connectivity,
Environment and Conservation,
Forests,
Grasslands and Plains,
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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