<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220223</CreaDate>
<CreaTime>11271100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType Sync="TRUE">002</imsContentType>
<itemName Sync="TRUE">RSR_All.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://\\MoBI01\G$\ellie\Deliveries\NYT\MoBI_SpatialData\AggregatedProducts\TIFs\RSR_All.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-2493045.000000</westBL>
<eastBL Sync="TRUE">2343105.000000</eastBL>
<southBL Sync="TRUE">176655.000000</southBL>
<northBL Sync="TRUE">3310995.000000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">Albers_Conic_Equal_Area</projcsn>
<peXml Sync="TRUE">&lt;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/2.6.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;Albers_Conic_Equal_Area&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Albers&amp;quot;],PARAMETER[&amp;quot;false_easting&amp;quot;,0.0],PARAMETER[&amp;quot;false_northing&amp;quot;,0.0],PARAMETER[&amp;quot;central_meridian&amp;quot;,-96.0],PARAMETER[&amp;quot;standard_parallel_1&amp;quot;,29.5],PARAMETER[&amp;quot;standard_parallel_2&amp;quot;,45.5],PARAMETER[&amp;quot;latitude_of_origin&amp;quot;,23.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-16901100&lt;/XOrigin&gt;&lt;YOrigin&gt;-6972200&lt;/YOrigin&gt;&lt;XYScale&gt;266467840.99085236&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">32</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">FALSE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">floating point</PixelType>
<NoDataValue Sync="TRUE">-3.4028235e+38</NoDataValue>
</General>
</RasterProperties>
<copyHistory>
<copy date="20220223" dest="\\MoBI01\G$\ellie\Deliveries\NYT\MoBI_SpatialData\AggregatedProducts\TIFs\RSR_All.tif" source="H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_All.tif" time="11271100"/>
</copyHistory>
<lineage>
<Process Date="20220223" Time="112713" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_All.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_AquaticInverts.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_Plants.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_PollinatorInverts.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\RSR_Vertebrates.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\SpeciesRichness_All.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\SpeciesRichness_AquaticInverts.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\SpeciesRichness_Plants.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\SpeciesRichness_PollinatorInverts.tif raster_file_general;H:\MoBI_Final_Results\Final_Tiffs_April2021\SpeciesRichness_Vertebrates.tif raster_file_general" G:\ellie\Deliveries\NYT\MoBI_SpatialData\AggregatedProducts\TIFs RSR_All;RSR_AquaticInverts;RSR_Plants;RSR_PollinatorInverts;RSR_Vertebrates;SpeciesRichness_All;SpeciesRichness_AquaticInverts;SpeciesRichness_Plants;SpeciesRichness_PollinatorInverts;SpeciesRichness_Vertebrates "RSR_All.tif RasterDataset RSR_All.tif #;RSR_AquaticInverts.tif RasterDataset RSR_AquaticInverts.tif #;RSR_Plants.tif RasterDataset RSR_Plants.tif #;RSR_PollinatorInverts.tif RasterDataset RSR_PollinatorInverts.tif #;RSR_Vertebrates.tif RasterDataset RSR_Vertebrates.tif #;SpeciesRichness_All.tif RasterDataset SpeciesRichness_All.tif #;SpeciesRichness_AquaticInverts.tif RasterDataset SpeciesRichness_AquaticInverts.tif #;SpeciesRichness_Plants.tif RasterDataset SpeciesRichness_Plants.tif #;SpeciesRichness_PollinatorInverts.tif RasterDataset SpeciesRichness_PollinatorInverts.tif #;SpeciesRichness_Vertebrates.tif RasterDataset SpeciesRichness_Vertebrates.tif #"</Process>
</lineage>
</DataProperties>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<SyncDate>20210409</SyncDate>
<SyncTime>12525900</SyncTime>
<ModDate>20210409</ModDate>
<ModTime>16200400</ModTime>
</Esri>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdDateSt Sync="TRUE">20210409</mdDateSt>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 14393) ; Esri ArcGIS 12.6.0.24783</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">RSR</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-130.237517</westBL>
<eastBL Sync="TRUE">-63.661978</eastBL>
<northBL Sync="TRUE">52.886467</northBL>
<southBL Sync="TRUE">21.736664</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>The Map of Biodiversity Importance (MoBI) identifies areas of high importance for species conservation in the conterminous United States. Using habitat models for over 2,200 of the nation’s most imperiled species, and information on range size and degree of protection derived from those maps, we provide a series of raster maps that can help inform conservation efforts. This specific raster depicts summed range-size rarity for globally critically imperiled (G1), globally imperiled (G2), and ESA-listed (i.e., listed under the Endangered Species Act) threatened and endangered vertebrates, vascular plants, selected aquatic invertebrates (mussels and crayfish) and selected pollinators (bumblebees and butterflies and skippers). High values identify areas where range-restricted species are most likely to occur; the presence of multiple imperiled species contributes to higher scores.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Map of Biodiversity Importance (MoBI) consists of a series of raster maps that combine habitat information for 2,216 imperiled species occurring in the conterminous United States, using weightings based on range size and degree of protection to identify areas of high importance for biodiversity conservation. Species included in the project are those which, as of September 2018, had a global conservation status of G1 (critical imperiled) or G2 (imperiled) or which are listed as threatened or endangered at the full species level under the United States Endangered Species Act. Taxonomic groups included in the project are vertebrates (birds, mammals, amphibians, reptiles, turtles, crocodilians, and freshwater and anadromous fishes), vascular plants, selected aquatic invertebrates (freshwater mussels and crayfish) and selected pollinators (bumblebees, butterflies, and skippers).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;This specific raster depicts summed range-size rarity for vertebrates, vascular plants, selected aquatic invertebrates (mussels and crayfish) and selected pollinators (bumblebees and butterflies and skippers) based on habitat data for 2216 species.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;NatureServe developed a habitat map for each species. Habitat maps for most species are model outputs generated using the random forest algorithm. Data inputs into the models include forty years of NatureServe Network element occurrence and observation data supplemented with records from USGS BISON and other sources and environmental predictors representing terrain, climate, land cover, soils, and hydrology. A national library of over 200 terrestrial and aquatic predictor variables supported the project. The resolution of modeling was 30m for most terrestrial species and 330m resolution for some wide-ranging species. Habitat models for aquatic species used a similar approach, but the medium resolution National Hydrography Dataset (NHD) was the modeling unit rather than a raster grid. If an existing, range-wide, and vetted model was easily obtainable for a species, we used that model instead of developing a new one. For species not amenable to inductive habitat modeling, we developed or obtained alternative habitat maps built using deductive approaches. We upscaled or otherwise converted habitat maps for all species to a 990-m raster to provide a consistent unit of measurement across species and avoid revealing the precise location of highly sensitive species. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;We calculated two values for each species using the habitat maps: range-size rarity and percent protected. Range-size rarity is the inverse of the total area mapped as habitat for the species and was calculated using the 990-m raster grid. Percent protected is the percentage of the total area mapped overlapping protected areas classified as Gap Status 1 or 2 in the PAD-US 2.0 database (USGS 2018; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;A href="https://www.sciencebase.gov/catalog/item/5b030c7ae4b0da30c1c1d6de" STYLE="text-decoration:underline;"&gt;&lt;SPAN STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;https://www.sciencebase.gov/catalog/item/5b030c7ae4b0da30c1c1d6de&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&lt;SPAN&gt; ) --i.e., those areas that are managed for biodiversity protection; it was calculated at the resolution of the source data.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;The MoBI dataset includes several different rasters: (1) Species richness rasters provide a simple count of the number of species with mapped habitat in each 990-m raster cell; higher values indicate where more imperiled species are likely to co-occur. (2) Range-size rarity (RSR) maps sum the range-size rarity scores of all species mapped as likely to occur in a cell; high values indicate the presence of habitat for one or more highly range-restricted species – i.e., concentrations of species with limited conservation opportunities. (3) Protection-weighted range-size rarity (PWRSR) rasters combine information on both range-size rarity and percent protected to identify locations with species that have limited conservation opportunities due to both restricted range size and falling outside of protected areas. Species-specific PWRSR scores are the product of range-size rarity and the percent of the range that is unprotected (1- percent protected). The MoBI dataset includes two versions of the PWRSR rasters: (3a) summed PWRSR, the sum of PWRSR values for all species with mapped habitat overlapping that cell, and (3b) maximum PWRSR, the highest PWRSR score for any species with mapped habitat overlapping the cell. To focus on the sites where protection action is most pressing, we clipped out the Gap 1 and Gap 2 protected areas from the protection-weighted range-size rarity maps. This particular raster represents (2) RSR for all species included in the MoBI project.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN /&gt;&lt;SPAN&gt;&lt;SPAN&gt;April 2021 Release Note: These data were updated with improved data. 33 species were added to the aggregate result that were previously erroneously excluded. In addition, a minor issue with how the original data were snapped was fixed, ensuring that all species within all of the MOBI layers are aligned consistently, regardless of the layers to which a given species contributes. Results may thus differ somewhat from the February 2020 release.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>NatureServe Network. April 2021. The Map of Biodiversity Importance. Arlington, VA. U.S.A.</idCredit>
<searchKeys>
<keyword>Biodiversity</keyword>
<keyword>conservation</keyword>
<keyword>MoBI</keyword>
<keyword>range-size rarity</keyword>
<keyword>imperiled species</keyword>
<keyword>Endangered Species Act</keyword>
<keyword>United States</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;NatureServe reserves all rights in all intellectual property provided. Distribution of the data or any intellectual property in whole or in part, or any products derived from the data or any intellectual property for commercial purposes is strictly prohibited. To see the full terms of use click &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;A href="https://ago-item-storage.s3.us-east-1.amazonaws.com:443/8992236b63184422905ed208f050a12e/TOU_Mobi.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECEaCXVzLWVhc3QtMSJFMEMCIHVvJopqDd%2FreStzIZ7WExeganvRyLbvG%2BmLRmzNoPUFAh9bonZ7cNsnm8vPAk9Ps6mR3yfAwZY1FwftR1uWSA2FKrQDCHoQABoMNjA0NzU4MTAyNjY1IgwcL6cjLNldcwVipKQqkQNzljbQ%2FnJEg9UyDnAeRPJW%2FKEOMLszTBInfOSADIFD%2FHJIAeX5d63QF%2F%2BZkFwCmnl3t9900oofNQaz%2F0gdangjg802WlG1Qa9xmERiEMHVHwYnoUx5zG5Lvn%2Be1lRsGxcfnN1g5vWvb1FCXT%2BsoxamppH3Cuu4xzOstESZQk%2FCR1yVhs6XDVuwzv7QOp4w5H7b5KgbpeYTvn89zBKAKi8GvQnDH%2FpisVblyOjwnfXDtlxFr8vU%2BvChBegvwSpaoeQKFtcxPwKXgMiBsKEDAvlxqSqSUCgQrjQVGexW0ybbyAcBq3AWGuSJXrrueLd5mxDWn%2F3BX%2FM4brsTT6ySSaYxun0waHJQGWlLwSmFUC93WDD57vwFvjzyymszMhA5LUNjg%2FAm4bE9Fx%2Fe1kgQK%2F9hocVg2oZfukE6kQnyUvntDkzGY1Rhx6%2BZXeN3Jk1%2BhVGCVc1%2FPDUxCPzrSMXhPXgA1TP7QSPViX5QBNNYNyJekyJQ8XJQdG9dgy14tejj05b0CdPpR7acNn8yZ%2FXJDGnGsDCDisKDBjrtAf8HpBPbU%2BNGmvwipuYBFjewDeKex%2FGIZpMUbUDOndaZZeKMzNdIQev4vGb5b7Vcv2AlBpi2qjVBsL9U%2BzaxQ1nzORf0w%2FybutSBSGtjKEhauuXx7NJGDM7McnZ3icuJqq1AGMwFiPW9INvO6lOZ6cSiTU0mfzyPms3HWFlmVI1mimvqB5ckF6iwOpOOVsuzXS5qJ%2Bxak2889PXzZ6OXzQ85a6ZdkHOLDtAzTp4bcTxB4rXSgObF%2BVavrIB2h8hTvtF9%2FcJyR%2F6eIwS3lES68iI2LgYolfqFXAecnQFQv1cOhfDyCXLpyvrtlPJlVw%3D%3D&amp;amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;amp;X-Amz-Date=20210409T181120Z&amp;amp;X-Amz-SignedHeaders=host&amp;amp;X-Amz-Expires=300&amp;amp;X-Amz-Credential=ASIAYZTTEKKEQD4PQTHT%2F20210409%2Fus-east-1%2Fs3%2Faws4_request&amp;amp;X-Amz-Signature=d403909f8241e226750a2f019c3c04c9d016acc068d286cbe5c613e16895d2cd" STYLE="text-decoration:underline;"&gt;&lt;SPAN STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;here&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">-2493045.000000 176655.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-2493045.000000 3310995.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">2343105.000000 3310995.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">2343105.000000 176655.000000</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">-74970.000000 1743825.000000</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">4885</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">990.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">3166</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">990.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="0"/>
</refSysID>
</RefSystem>
</refSysInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">1.531777</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
