Restoration Plan

The Whitebark Pine Ecosystem Foundation and American Forests are partnering with the US Forest Service and collaborating with other federal agencies and tribes to develop a consensus-based core area restoration plan for the U.S. distribution of whitebark pine (Pinus albicaulis). This strategic plan will identify selected areas within the U. S. range of whitebark pine for priority restoration, focusing resources. The plan will also facilitate federal and NGO fund-raising efforts for restoration.

The National Whitebark Pine Restoration Spatial Data Archive (NWPR Spatial Data)

The National Whitebark Pine Restoration Strategy (NWPRS) effort, led by the Whitebark Pine Ecosystem Foundation (WPEF), American Forests, and the US Forest Service, is asking various land management agencies to submit three core areas as high priority areas for whitebark pine restoration.  Many levels of organization for the land management agencies that manage whitebark pine (i.e., USFS, BLM, tribal lands, state lands) have the spatial data needed to identify these core areas, but there are some organizations that do not have sufficient spatial data to perform a comprehensive prioritization.  The NWPR Spatial Data Archive was compiled for them.

The NWPR Spatial Data Archive is a set of coarse scale (1 km) data layers that can be used to identify possible core areas of prioritization for the NWPRS effort. All layers are in USA Contiguous Albers Equal Area Conic, NAD 83 projection.  The archive is not intended as the standard or primary data source for prioritizing core areas for the NWPRS, but rather as a safety net for those who don’t have the local data to make wall to wall spatial analysis.  The number of layers in the NWPR Spatial Data Archive will be constantly growing over time as new data sets become available.

Many of the layers in the NWPR Spatial Data Archive were created from other, higher resolution data; we resampled these original layers to the 1 km resolution to ensure all layers in the NWPR Spatial Data Archive had the same extent and resolution.  We have all of the original data files and can share the links with those interested.

We selected the data layers to include in the archive based primarily on their availability and did not create any new data layers for this effort.  We tried to include all layers that might be used to prioritize core areas.  There are a set of data layers to identify where whitebark pine exists now and where it has the potential to exist.  There are several layers that were used to quantify fire history and disturbance history.  And we also included ownership and other layers.

Geospatial Data Inventory

Layer Library

Layer Library References

National WBP Restoration Plan - Rangewide Layers

All GIS layers are raster with 1 km pixel resolution. Spatial extent is for US only unless otherwise specified
NameFormatSource ContactDescription UnitsDownload Link
PotentialGeotiffKeane et al. (2012)Bob Keane, USFSModeled layer to identify all areas that have the potential to support WBPPresence (1) of WBP
potential
DominantGeotiffKeane et al. (2012)Bob Keane, USFSModeled layer to identify all areas that are currently dominated by WBPPresence (1) of WBP
dominant
Existing Geotiffhttp://whitebarkfound.org/resources/help-update-range-mapsCyndi Smith, Adam Collingwood, Parks Canada, Waterton Lakes National Park, AlbertaUpdated map of existing WBP distribution included CanadaPresence (1) of WBP
existing
Refugia GeotiffMahalovich et al. 2017Mary F. MahalovichModel predictions for WBP genetic refugia for current conditions (1981-2020 climate normal period) based on the representative concentration pathways (RCP) 4.5 and RCP 8.5 to capture the lower and upper bounds of uncertainty, respectively; and for mid-century (2011-2040) under RCP 8.5 to represent upper bound. No refugia predicted for mid-century lower bound5 scenario; hence , no grid layer included.Presence (1) of WBPrefugia
ViabilityGeotiffhttp://charcoal.cnre.vt.edu/climate/species/speciesDist/Whitebark-pine/Nicholas Crookston, USFSModel predictions for viability of WBP for current conditions and future conditions under 3 global climate models (CGCM3, GFDLLCM21, HADCM3), 4 emission scenarios (A1B, A2, B1, B2), and years 2030, 2060, 2090; includes Canada. Note, layer for HADCM3, B2, year 2090 not available.Species Viability Scores, 0-1 viability
Loss to Mountain Pine Beetle & RustGeotiffhttps://www.fs.fed.us/foresthealth/applied-sciences/mapping-reporting/gis-spatial-analysis/national-risk-maps.shtmlFrank Sapio, USFSPercentage of WBP basal area lost to Mountain Pine Beetle & Blister RustPercent, 0-100loss_mpb_rust
Loss to Mountain Pine Beetle & Rust by HUC6 watershed Geotiffhttps://www.fs.fed.us/foresthealth/applied-sciences/mapping-reporting/gis-spatial-analysis/national-risk-maps.shtmlFrank Sapio, USFSPercentage of WBP basal area lost to Mountain Pine Beetle & Blister Rust summarized to HUC6 watershedProportion, 0-1loss_mpb_rust_hu6
Total basal area of all tree spp.Geotiffhttps://www.fs.fed.us/foresthealth/applied-sciences/mapping-reporting/gis-spatial-analysis/national-risk-maps.shtmlFrank Sapio, USFSTotal basal area across all tree speciesSquare feet per acre, 0 – 1,243total_basal_area
Tree presenceGeotiffhttps://www.fs.fed.us/foresthealth/applied-sciences/mapping-reporting/gis-spatial-analysis/national-risk-maps.shtmlFrank Sapio, USFSTree presence or absence (also known as ‘Treed areas’)Presence (1) or absence (0)tree_presence
Mountain Pine Beetle aerial detection surveysNot yet available

National Whitebark Pine Restoration- sub-range maps

All GIS layers are raster with 1 km pixel resolution. Spatial extent is for US only unless otherwise specified
NameFormatSourceContactDescriptionUnitsDownload Link
Region 6GeotiffO:\NFS\R06\Program\Botany\Whitebark Pine\GISAndrew Bower, USFSWBP distribution in USFS Region 6Presence (1) of WBPR6_wbp
GYA probabilityGeotiffhttps://www.sciencebase.gov/catalog/item/5845a4a6e4b04fc80e52346aAndrew Chang, Montana State UniversityProbability of suitable WBP habitat in Greater Yellowstone Area (GYA) for recent year (2010) and future conditions based on 1 global climate model (ENS_AVG), 2 representative concentration pathways (RCP 4.5 and 8.5), and years 2040,2070, 2099Probability of suitable WBP habitat, 0-1GYA_probability
Flathead National ForestNot Yet Available
Salish/Kootenai TribesNot Yet Available

National Whitebark Pine Restoration- OTHER ANCILLARY RANGEWIDE LAYERS

All GIS layers are raster with 1 km pixel resolution. Spatial extent is for US only unless otherwise specified
NameFormatSourceContactDescriptionUnitsDownload Link
LANDFIRE Biophysical SettingsArcGIS gridhttps://www.landfire.gov/version_comparison.php?mosaic=YRollins, Matthew, USFSVegetation dominant prior to Euro-American settlement based on biophysical environment & historical disturbance regime (version
2014)
LANDFIRE Vegetation classification systembps
LANDFIRE Existing vegetation typeArcGIS gridhttps://www.landfire.gov/version_comparison.php?mosaic=YRollins, Matthew, USFSExisting vegetation type (version
2014)
LANDFIRE Vegetation classification systemevt
LANDFIRE Canopy bulk densityArcGIS gridhttps://www.landfire.gov/version_comparison.php?mosaic=YRollins, Matthew, USFSForest canopy bulk density (version
2014)
Density of available canopy fuel in a stand, 1-45 (kg m-3 * 100)cbd
LANDFIRE Fuel loading modelArcGIS gridhttps://www.landfire.gov/version_comparison.php?mosaic=YRollins, Matthew, USFSWildland surface fuel classification with representative loading for each fuel component (version 2014)LANDFIRE fuel classification systemflm
VMAP Existing dominant vegetation – Region 1ArcGIS gridBarber 2012Jed Gregory, USFSMid-level existing vegetation classification for USFS Region 1Region 1 mid-level vegetation classificationvmap
ElevationGeotiffhttps://earthexplorer.usgs.gov/USGSDigital elevation model, includes Canadametersdem
Hydrologic Unit Code (HUC) 4,6,8ArcGIS gridftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/WBD/National/GDB/USGSWatershed Boundary Datasets defining areal extent of water drainages, at Subregion (HUC4), Basin (HUC6), and Subbasin (HUC8) levels, includes Canada.Hydrologic Unit Codes, with associated watershed nameshuc
US fire perimetersGeotiffhttps://www.mtbs.gov/direct-downloadJeffrey Eidenshink, USGSYear of last fire, 1984-2015Yearus_fire_perimeters
US fire severityGeotiffhttps://www.mtbs.gov/direct-downloadJeffrey Eidenshink, USGSSeverity class of most recent fire, 1985-2015Burn severity classification, 1-6us_fire_severity
Canadian fire perimetersGeotiffhttp://cwfis.cfs.nrcan.gc.ca/ha/nfdbCanadian National Fire databaseYear of last fire, 1917-2016, for Alberta & British Columbia provincesYearcan_fire_perimeters
Forest Inventory Analysis WBP plotsGeotiffhttps://apps.fs.usda.gov/fia/datamart/CSV/datamart_csv.htmlGreg Reams, USFSNumber of WBP trees (live and dead, 5 inches DBH and greater) inventoried in each FIA forest inventory plotNumber of WBP trees / 168 m2fia_count
Land ownershipArcGIS gridUS: https://gapanalysis.usgs.gov/padus/data/download/;
Canada: https://www.protectedplanet.net/
US: Lisa Johnson, USGS; Canada: Brian MacSharry, UNEP World Conservation Monitoring CentreManaging agencies of public lands at the state/province and federal levels, including Canada. US lands additionally classified as non-wilderness, wilderness, and wilderness study areas.Public land agency ownershipownership
RoadsGeotiffUS: https://nationalmap.gov/transport.html;
Canada: http://open.canada.ca/data/en/dataset/8e089409-8b6e-40a9-a837-51fcb2736b2c
US: USGS, National Geospatial Technical Operations Center; Canada: Government of Canada; Statistics Canada; Roads of any size, includes Canada.Presence (1) or absence (0)roads
TrailsNot yet available
US Western states ArcGIS gridhttps://www.arcgis.com/home/item.html?id=870029dd3baa4c14a5131cd7090a03eaFracTrackerAlliance11 western US statesState nameus_states
Canadian provincesArcGIS gridhttp://open.canada.caGovernment of Canada; Statistics Canada;Alberta and British Columbia provincesProvince namealb_bc