20220218
09025200
1.0
FALSE
MaskLowPriorit_ExportFeature
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
USA_Contiguous_Albers_Equal_Area_Conic_USGS_version
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS["USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",23.0],UNIT["Meter",1.0],AUTHORITY["Esri",102039]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-6972200</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102039</WKID><LatestWKID>102039</LatestWKID></ProjectedCoordinateSystem>
20230628
13103500
20230628
13103500
Esri ArcGIS 13.0.0.36056
MaskLowPriorit_ExportFeature
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This layer masks level IV ecoregions in Washington state designated as low priority for bumble bee conservation. </span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Priority is calculated based on the aggregate mean predicted probability of presence of eight bumble bee species of conservation concern. </span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The predicted probability of presence for each species was developed using species distribution modeling. Species distribution modeling based on maximum entropy (Maxent) methods (Maxent 3.4.1, Phillips et al. 2006, Phillips and Dudík 2008, Phillips et al. 2017, Hijmans et al. 2021) uses recorded observations of a species, as well as a variety of climatic variables (Booth et al. 2014), elevation, and land cover (Dewitz and U.S. Geological Survey 2021) to construct a model of predicted potential geographic distribution. Results of this SDMs should be interpreted with caution given that the model included presence only data (as opposed to presence and absence data), and the predictor variables used in the models do not represent all factors impacting bumble bee distribution. As such, this SDM should be interpreted as predicted potential geographic distribution (where suitable habitat exists to support a species).<div><br /></div><div><div style='font-family:inherit;'>Bumble bee records used to build the SDMs involved in determining conservation priority were collected between 2011 and 2021. Records are sourced from a database of more than 700,000 records of 43 species of North American bumble bees first assembled in 2014 (Williams et al. 2014) and maintained by Dr. Leif Richardson (Richardson 2022).</div><div style='font-family:inherit;'><br /></div><div style='font-family:inherit;'><font style='font-family:inherit;'><span style='font-family:inherit;'>Booth, T.H., H.A. Nix, J.R. Busby, and M.F. Hutchinson. 2014. “Bioclim: The First Species Distribution Modelling Package, Its Early Applications and Relevance to Most Current MaxEnt Studies.” Diversity & Distributions 20 (1): 1–9.</span><br /></font></div><div style='font-family:inherit;'><font style='font-family:inherit;'><span style='font-family:inherit;'>Dewitz, J. and U.S. Geological Survey. 2021. “National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021): U.S. Geological Survey Data Release.” https://doi.org/10.5066/P9KZCM54.</span><br /></font></div><div style='font-family:inherit;'><font style='font-family:inherit;'>Hijmans, R.J., S. Phillips, J. Leathwick, and J. Elith. 2021. Species Distribution Modeling (DISMO) (version 1.3-5). https://rspatial.org/raster/sdm/.</font><br /></div><div style='font-family:inherit;'><font style='font-family:inherit;'>Phillips, S.J., R.P. Anderson, and R.E. Schapire. 2006. “Maximum Entropy Modeling of Species Geographic Distributions.” Ecological Modeling 190 (3): 231–59.</font><br /></div><div style='font-family:inherit;'><font style='font-family:inherit;'><span style='font-family:inherit;'>Phillips, S.J. and Miroslav Dudík. 2008. “Modeling of Species Distributions with Maxent: New Extensions and a Comprehensive Evaluation.” Ecography 31 (2): 161–75.</span><br /></font></div><div style='font-family:inherit;'><font style='font-family:inherit;'><span style='font-family:inherit;'>Phillips, S.J., R.P. Anderson, M. Dudík, R.E. Schapire, and M.E. Blair. 2017. “Opening the Black Box: An Open-Source Release of Maxent.” Ecography 40 (7): 887–93.</span><br /></font></div><div style='font-family:inherit;'><font style='font-family:inherit;'><span style='font-family:inherit;'>Phillips, S.J., M. Dudík, and R.E. Schapire. n.d. Maxent Software for Modeling Species Niches and Distributions (version 3.4.1). https://biodiversityinformatics.amnh.org/open_source/maxent/.</span><br /></font></div><div style='font-family:inherit;'>Richardson, L.L. 2022. “Bumble Bees of North America: Data Contributors.” <a href='https://www.leifrichardson.org/bbna.html' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.leifrichardson.org/bbna.html</a>.</div></div></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size:16px;'>Williams, P., R. Thorp, L. Richardson, and S. Colla. 2014. Bumble Bees of North America. Princeton, New Jersey: Princeton University Press.</span></font></div>
This layer masks level IV ecoregions in Washington state designated as low priority for bumble bee conservation.
Martin, M., R. Hatfield, E. May, L. Richardson, and S. Jepsen. 2023. “Strategy to Protect State and Federally Recognized Bumble Bees of Conservation Concern: Washington State.” Portland, OR: The Xerces Society for Invertebrate Conservation; with the Interagency Special Status and Sensitive Species Program USDA Forest Service, Region 6 and USDI Oregon/Washington Bureau of Land Management. https://www.xerces.org/publications/strategy-bumble-bee-species-conservation-concern.
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This map accompanies the </span><a href='https://www.xerces.org/publications/strategy-bumble-bee-species-conservation-concern' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Strategy to Protect State and Federally Recognized Bumble Bees of Conservation Concern: Washington State</a><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'> publication. We do not recommend using, interpreting, or sharing this data without first reviewing the publication.</span>
Bumble BeeBumble Bee ConservationConservation StrategyWashington
File Geodatabase Feature Class
dataset
Esri
8.1.2
0
Simple
FALSE
0
TRUE
FALSE
MaskLowPriorit_ExportFeature
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
US_L4NAME
US_L4NAME
String
10485758
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20230628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