20250516 16344400 1.0 FGDC 002 https://www.arcgis.com/sharing/rest/content/items/d4a14353cef1405796a8c2e4a893db18/info/thumbnail/thumbnail1753897433536.png UMGLJVbuffer -179587.281534 1368839.179852 1449968.625873 2930378.161556 1 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/3.3.0'><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>10000.001646282679</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0010000001639127731</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102039</WKID><LatestWKID>102039</LatestWKID></ProjectedCoordinateSystem> 78412203.875665 622.344247 20250516 16353400 20250516 16353400 FALSE <div style="text-align:Left;"><a target="_blank" rel="noopener noreferrer" href="https://mbjv.org">Joint Ventures</a> (JVs) are bird conservation partnerships, established to achieve the goals of the <a target="_blank" rel="noopener noreferrer" href="https://www.fws.gov/partner/north-american-waterfowl-management-plan">North American Waterfowl Management Plan</a> (NAWMP). There are 22 bird habitat JVs in North America, and our JV, the <a target="_blank" rel="noopener noreferrer" href="https://umgljv.org">Upper Mississippi/Great Lakes Region Joint Venture</a> (UMGL JV) is located in the Midwest, in a pivotal location in the <a target="_blank" rel="noopener noreferrer" href="https://www.fws.gov/partner/migratory-bird-program-administrative-flyways">Mississippi Flyway</a>, for people involved in <a target="_blank" rel="noopener noreferrer" href="https://www.fws.gov/program/migratory-birds">migratory bird</a> conservation. We are a collaborative, regional group of government agencies, tribes, nonprofit organizations, corporations, universities, and individuals that conserve habitat for the benefit of migratory birds, other wildlife, and people. Our landscape includes eastern Minnesota; all of Wisconsin and Michigan; eastern Nebraska and Kansas; western, southern and eastern Iowa; northern Missouri, Illinois and Indiana; and northwestern Ohio.Targeting conservation to achieve biological objectives for Waterbirds and social objectives for People is a priority for JVs. We produced a Decision Support Tool (DST) for our JV region to help achieve this goal, and this dataset is the polygon version of the original raster of the mixed-model of the DST. The raster map was published in the JV Waterbird Habitat Conservation Strategy – 2018 Revision (Figure 13).Starting with a matrix of six relevant objectives, we transformed related biological and social data into a family of six spatially explicit model-based maps designed to achieve individual objectives. Output maps were weighted based on discussion with regional decision makers (JV Management board) and then combined, resulting in a raster dataset, which is an aggregate mixed-model of the DST to target conservation for the benefit of Waterbirds and People in the JV region (mixing biological and social objectives). The raster was finally classified (using geometric intervals) and transformed to polygon dataset (this product) to delineate the zones of conservation and improve data visualization, assessment, and interactivity online.This product comes with 40 relative density classes (zones) spreading on a scale of 0 – 1 (values of low – high). The upper percentiles show the distribution of the most valuable zones across the JV region, to acquire or manage whatever the required conservation action is (i.e., retention, protection, and or restoration). They were mainly prioritized using relative density of breeding and or non-breeding habitats for Waterbirds. They were then ‘customized’ by gaining low – high values depending on the relative density of current and potential social demand. Additional customization was achieved by adding relative density of development and agricultural, as a proxy for social need to restore ecological goods and services and Waterbirds need to decrease habitat threats. In summary, these hotspots represent the availability of objective-targeting-areas in high data densities, high objective overlap, and/or high objective weights. We designed a flexible and adaptable analysis framework, so objectives and objective weights can be easily adjusted to address shifts in regional stakeholder priorities and compare outcomes with varied emphasis on biological vs. social values. All of our products (including this one) can be modified accordingly. They can also be scaled-down (i.e., stepped-down to state, watershed, county, or any smaller target area) and supplemented with additional local data such as soil types, current land use, hydrologic aspects, and other environmental priorities for customized output maps depicting best areas for Waterbird habitat restoration vs. retention vs. enhancement. See the JV website and publications for details.Links:<ul><li>To download this polygon feature class and related data, metadata, and documentation, please <a target="_blank" rel="noopener noreferrer" href="https://www.sciencebase.gov/catalog/item/681388a2d4be023163051641">browse the UMGL JV online folder in the U.S. Geological Survey's ScienceBase repository</a>.</li><li>To view and explore this polygon feature class and related data, please <a style="background-color:transparent;box-sizing:border-box;color:rgb(51, 122, 183);text-decoration:none;" target="_blank" rel="noopener noreferrer" href="https://experience.arcgis.com/experience/ed8c03d3bf724536b20c6f46ba1d41f6">visit the online experience of the UMGL JV Decision Support Tools</a>.</li></ul> References:<ul><li>Model codes and final steps (for internal use of UMGLJV staff): (i) AgsJvwWbDstV31_030_030__010_010_010_010_WeightedSum_MxdMdl_022218_Hlshd1StD25____Final = albers_Jv18WbDstMx. (ii) albers_Jv18WbDstMx → albers_Jv18WbDstMx_41GeomsRstr → albers_Jv18WbDstMx_41GeomsRstr_SmplMltiprtPlgn → imported to final GDB and projected on-the-fly to WGS84 → renamed to Jv18WbDstMx.</li><li>For internal use of USFWS staff: Data Management Plan (DMP) ID = 684; Title: UMGL JV Waterbirds & People Decision Support Tool (Mixed-Model).</li></ul></div> UMGL JV Waterbirds and People Decision Support Tool: Mixed-Model Zones 2025-07-30T13:24:26 vector digital data Recommended Citation: Al-Saffar, M. A. 2025. Zones to Target Habitat Conservation for the Benefit of Waterbirds and People in the Upper Mississippi / Great Lakes Region Joint Venture and Surrounding Areas. U.S. Fish and Wildlife Service, East Lansing, MI. Zones to Target Habitat Conservation for the Benefit of Waterbirds and People in the Upper Mississippi / Great Lakes Region Joint Venture and Surrounding Areas external 06e36453ea76fe975e647c6acd1d9bd1cdcd270a U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler Mohammed Al-Saffar Mohammed Al-Saffar True external 06e36453ea76fe975e647c6acd1d9bd1cdcd270a U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler Mohammed Al-Saffar Mohammed Al-Saffar True mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email U.S. Fish and Wildlife Service Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler 2018-12-31T00:00:00 -99.178583 -77.357414 49.578893 34.924519 1 external 06e36453ea76fe975e647c6acd1d9bd1cdcd270a U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler Mohammed Al-Saffar Mohammed Al-Saffar True Applications and ToolsBiological ObjectivesBiotaBirdsBreeding HabitatConservationConservation DesignConservation FrameworkConservation PlanningConservation PrioritizationDataData LayerData Management and IntegrationDatasetDecision SupportDecision Support ToolEcosystem Goods and ServicesEnvironmentGISGeographic Information SystemsGeospatialGreat Lakes BasinGreat Lakes Hydrologic RegionGreat Lakes WatershedHuman DimensionsImpaired WatershedsInforming Conservation DeliveryInland WatersMapMetadataMidwestMidwest RegionMigratory BirdsMigratory Birds Joint VenturesMississippi River BasinMississippi River Hydrologic RegionMississippi River WatershedMultiple ObjectivesNon-breeding HabitatOutdoor RecreationOutdoor RecreationistsPeoplePopulation and Habitat EvaluationPopulation and Habitat ProjectionScienceBaseSocial ObjectivesSocio-economicsSpatial AnalysisSpatial ModelStructured Decision MakingU.S. Fish and Wildlife ServiceUMGL JVUSFWSUpper Mississippi/Great Lakes Region Joint VentureWaterbird WatchingWaterbirdsWetlandsZonesPolygonFeature Class Map Geospatial Spatial Analysis Spatial Model Data Dataset Data Layer Geographic Information Systems GIS Metadata Conservation Conservation Planning Conservation Design Conservation Framework Conservation Prioritization Decision Support Decision Support Tool Data Management and Integration Population and Habitat Evaluation Population and Habitat Projection Structured Decision Making Applications and Tools Informing Conservation Delivery Multiple Objectives Biological Objectives Social Objectives Biota Birds Migratory Birds Environment Inland Waters Wetlands Breeding Habitat Non-breeding Habitat People Human Dimensions Outdoor Recreation Outdoor Recreationists Impaired Watersheds Socio-economics Ecosystem Goods and Services U.S. Fish and Wildlife Service USFWS U.S. Geological Survey USGS ScienceBase Migratory Bird Joint Ventures Waterbirds Waterbird Watching Polygon Feature Class Zones This is a release of the Upper Mississippi/Great Lakes Region Joint Venture's Waterbirds and People Decision Support Tool (Mixed-Model Zones), as: (1) Interactive polygon feature class at the online experience of the UMGL JV Decision Support Tools (https://experience.arcgis.com/experience/ed8c03d3bf724536b20c6f46ba1d41f6), and (2) Downloadable polygon feature class (along with relevant metadata and documentation) inside the JV online folder within the U.S. Geological Survey's ScienceBase repository (https://www.sciencebase.gov/catalog/item/681388a2d4be023163051641) This product is intended for a broad audience, as a tool depicting priority zones for waterbird habitat conservation for the benefit of waterbirds and people in the Joint Venture's region. It is a living product that will be updated and refined, as needed, as both input data variables and stakeholder feedback evolve. This product is open to public and there is no request needed to download. Please see Terms of Use of the U.S. Fish and Wildlife Service (USFWS) and recommended citation. Before importing to ArcGIS or any similar software, please unzip the zipped files. For any questions, please contact: Mohammed A. Al-Saffar, Upper Mississippi/Great Lakes Joint Venture, U.S. Fish and Wildlife Service, DOI Region 3, 8:00 am - 4:30 pm Eastern Monday - Friday, Email: mohammed_al-saffar@fws.gov (preferred), Phone: (517) 580-0979. The polygon feature class available here summarizes the collective effort in the UMGL JV since 2017, and the credit goes to everyone in our partnership, including our science team, management board, and JV staff. Leading the design of spatial models, executing GIS analyses, creating the online contents, and sharing final products has been accomplished by JV's bird conservation modeler: U.S. Fish and Wildlife Service, DOI Region 3, Migratory Birds Program, Upper Mississippi/Great Lakes Joint Venture, Mohammed A. Al-Saffar. <div style="text-align:Left;"><div><div>The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.</div></div></div> 1000 Esri ArcGIS 13.3.2.52636 Originator: Mohammed A. Al-Saffar. Creator: Mohammed A. Al-Saffar. Author: Mohammed A. Al-Saffar. Editor: Mohammed A. Al-Saffar. Principal Investigator: Mohammed A. Al-Saffar. Metadata Publisher: Mohammed A. Al-Saffar. Point of Contact: Mohammed A. Al-Saffar. Data Custodian: Mohammed A. Al-Saffar. Data Producer: Mohammed A. Al-Saffar. Data Steward: Mohammed A. Al-Saffar. Data Trustee: Douglas E. Gorby. Data Owner: Upper Mississippi/Great Lakes Region Joint Venture. Resource Provider: U.S. Fish and Wildlife Service - Migratory Birds Program. Collaborator: U.S. Fish and Wildlife Service - Migratory Birds Program. Publisher: U.S. Fish and Wildlife Service - Migratory Birds Program. Administrator: U.S. Geological Survey, U.S. Fish and Wildlife Service. Distributor: U.S. Geological Survey - ScienceBase Polygon Feature Class Data Quality Assurance: This is an on-going project, and we are using data from existing sources, and evaluate them as input based on their metadata and reputation. We are using reproducible methods. We will have reviews (from the Joint Venture's science team) of our methodology within the project, and will share all data and methodology in USGS ScienceBase repository whenever we publish any new update. Data Quality Control: We will check for errors in our data processing using GIS methods to be determined as we make it further through this process. Great Lakes Watershed Great Lakes Basin Great Lakes Hydrologic Region Mississippi River Watershed Mississippi River Basin Mississippi River Hydrologic Region Midwest Midwest Region Upper Mississippi/Great Lakes Region Joint Venture UMGL JV dataset /9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD5/r7m8I/8iXoX/YOt/wD0WtfDNfc3hH/kS9C/7B1v/wCi1oA2aKKKACqc+rabazNDcahaRSr1SSZVYd+hNXK+Yvj1i1+JsE0ShHaxidiP4jucZ/IAfhV04qUrMmTaV0fRx1zSVODqlkD73Cf41g+BPG0fjODVCIY4ZbC8a3IR9wdf4X/Hn8q+VLOSV76C5uJGljkkBcB9rfn2ruNK8Rap8PdMutV0NLX7PdTIjxSkODtzgHBDDhj0rulgbU3NP0v19DlWK99Ra37H1BRXz7J+0ZejS7fZodv9vyfOZnPlEZONozkcY6n1r0Twn8W/D3iSytTczx6dfzSmH7NK+RuAzw2MYwepxzkc1wunJdDqUkzvqKY80UezfKi+Y21NzAbj6D1NPqCgoqlqesaZotuJ9U1C1somOFe4lVAT6DJ5NWoporiFJoZEkicbldGBDD1BHWgB9FFFABRRRQAUUUUAFFFFABXMfEb/AJJt4k/7B03/AKAa6euY+I3/ACTbxJ/2Dpv/AEA0AfE9FFFABX3N4R/5EvQv+wdb/wDota+Ga+5vCP8AyJehf9g63/8ARa0AbNFFFABXhX7Q2jWobRtbkjK7t9rLIgy3ALRjB4xndnvXuteVfH+0jufh9BI8yxGC+R1yM7zscbf1/Sqh8RMtj5ua4d5RLM/nhUCAk9ABgD8BT77TLi0trWaXIiuU82MFhyM46VNDpf8AxKhdiWJ8y7BGrEsOM5I9OcfWp5dOh3KIZ3kLR5VTGc5xkgD2OfyzXqxpuaSW39dfu/Q4nNRZQj0iea3jlhxIZHEaov3ix7YqZrO60aZHvbVSCSNhcHkHBBwcjoa0oZdUstICQ28IS3n84yiP94p24GW9O/1rYuTLqmi295II4ookZreNm3tNIqjcTjOPxxySazqL2U4uXup6eflb17dC6bdVSUVzPfTy3v6IPDetX2oTwz6rqkjW2nqWia4mJMOBwUBPY44HpTJ/it4itdTmn0nUrqGGRApjlcOMgY3AEYB78AVyMyz6hculpFMYixdIvvFR6nAqjsOSDwR61NR3nzJdLeXfbYIKyab63/Tff9DV1vxNq/iS5a41e8ku52/jk/hHooHCj2AFdD4c8ZeL/hzJB5bOLGb5/sdz80TjvgZyp5HIx2zmsDw4bVNTzdwrLGEJwcdRz0PryPxzVfUEvJ5WdxK6ou4KQcRrn36Co9nOUbtaL+vwNOaMWrPVn1T4J+LHh/xksduJfsGqNwbOdvvH/Ybo304PtXeV8FoJN26MNlecr2969p+HnxX8S6XGLXXLeTUdLiUE3ErhZolxnhj/AKzgE4PPHWueVJ25lsaqd3bqfRdFICGUMCCDyCO9LWJYUUUUAFFFFABXMfEb/km3iT/sHTf+gGunrmPiN/yTbxJ/2Dpv/QDQB8T0UUUAFfc3hH/kS9C/7B1v/wCi1r4Zr7m8I/8AIl6F/wBg63/9FrQBs0UUUAFcb8VdPttR+GmtrcqSIIDcRkHBDpyP8Pxrsq5rx54dTxP4VuLGS5eBF/etgnDhQeGAIyO/1APaqgk5K7sTJ2i2fNGk6RDq3hA3FrIYJ7Zgkqs/EhJyPp/LilsWnt9VS7mtbSR9kjMpYxqwbK4AU8EZ4AxWlZx2+g3k9pbTPJahipZeDIPenQlorw3EESzpCxb50yuOnPp1r1alGcKMvaaprRaxdmtU2/O1r2avbfQ5MNy1qqUG0777q/TRa9H32vors5+/OpzNJb24meMou9YVJGCwXp7swH41SuLC8QuCvls/KIq7GKY7KOOcZNdvp9ut7ptzPHaRXVxCpSOIbt0e7qRzg8A1kalZiyl0281S0nIlYkpkgsgY5x6HtiuOhm9DE15QSaevKu/4+Xl+FzuxmT18HS5pyTs7S11vZNfn+pyy3sltDHGJW+5j9zJg7TyVP4jpWrpq299pT21xBA7wbmjbbyB1O5l+Zvbk49Kg1fSvMv7ma2gdLaV/NtndukXOARzzyO/GPenaRot5BqR2eS8yWpukXeGBAXcOBnJx/CfxroqSUoc09rb6J+vy2OCDUZXjuunQuw6DYXOoQ29jdxW8zJvYzHOGxkBTngHgc881HqWpalpzyabJbqd/yrsKv+8xtJ3AHPU8ZqteQQmN5bh0S7nPnq8TKV+bnbheF+nGKnjgS7020MMs8uo+dsjMsny784AGemBg59j6VpUTjTjGTTi7eeq6/n+GoU/fnKaTur+WnX+u3Qt2NrBY6Vb/AG2NopXDAu+BHtJHXkEnI9e9RSa5PL5Gkxz7bFGbyWj53Bv4STwetc7q1/qE8psbu6Mwt5GUANld3QkflWtptrcy6aJ7tzFDaDZCgXBcvk8n8D70vaU7881dRt3a6rRd9f6QRpTl7kWle/Zb935W/M9R8HfEdtH1iSTXL8zW8tsI47dZAPJZSBgKSFAIB6Y6dK91tLlL2yguowypNGsihhggEZ5r5Au1sL698nULOezMB2yc4k9htPTr7102gfEbV/hvqyaWbwavoJIKRy5DxpnHyk8qRj7vI+mc1w1qMYtOmmlJXS/TTTTtdnWq0pK0rPlsrpW2Wn3ryWx9P0UgIYAg5B5Bpa5ywooooAK5j4jf8k28Sf8AYOm/9ANdPXMfEb/km3iT/sHTf+gGgD4nooooAK+5vCP/ACJehf8AYOt//Ra18M19zeEf+RL0L/sHW/8A6LWgDZooooAK5rxZ4q0fRLC6tby7UXUkDbIVG5zkYBx25rpa+ZNauptU17Ur6eQBnmdvnPOAcBR9BgD6V2YPDxqtym7Rja/zZjVnJWhBXbvb5IzfJcxGUAY/iJIGD9KZtkLbVIyeoBq0sqebCUhJC/K/P3vSnGD93uVkYhuobgA5r6ipVVuSf2ujXp9/r9+qPFpRknzx2j1T2366pX7dem4ul3l3o7zPCYljmiO4SDOCMjIHqD/M0moa3qt7Jb3Yu5PtNurBScbRuBGccjOGx0z+VS/YHFq9zK0BUZ+V5Bv/AAHfOayrq8u3jS2+zq4iGAVjBOCR+ucDPv718zSyqhCs6ijGWtpPZK61tdNNPZr0PoMZmn1qmnLR200Tbs9LtO90urSvqaXiW21KbStNme6VIjbMoiVxENg5bgkAk4HHcgYFGiXIt/LnN8NP+z25jluXlMjzIThdsZyAVGOB0xmql3cRxaGjTm0lnbeEFwWcxgLgKEHAJJ4J44o0vTpvEMVy0kcEV4mZXgA2ySxkow2R4AUAEnIPIOMd6xlGEaDpYmKgk2rrbWT1t1Vna7Wjs2uq42vfToy5lpvo9tvLXs/mGh6Gr28zubaY3SjYXflFwSeOgfAHVuOevan4gdLKzkuY5WkutojJRB5aMTzjHfGRnvjr6673FvFdMkNu/wAm0RDIYmQMMnuOf6CuX8ZSeT5FoGlUh2Z42PygcBfrg7hmuRYirLGy5pei+S/rTqe68FCll6qKOrtq99+n3/PXsjE0eMm6kuPJMqwRmRuenYH8yPzrq2vLm+0qOa1hW2tbiR4HM02Qr/KflAx2JHOeCfTNZfhS3W7tryHdEsm+LYX4+8208+gznpXR2ugWVtFbLPB5Ny0zq5yWK4IwSM5GOnIB9jXa6tHmhGUveTemuvu32vr662PLjTrOMuWL5Wld20372MO70y7u7i9kSeI20LkI0r5JORx1JzyOTWJrtvLa36wzSB5FiXJAxjjp616bqtra2TIlsmy7t2ZJ40AGcE7HzkbvvLn/AOtWLqltELO4tpLOBZWjLSOkIBBx8ozjqMr0/GowmOji2qMH06/K3X7rb36dar4KeHo/WZLRvT8f6d9vO+n0p4Ov/wC1PBeiXu7c01jCzH/a2Dd+ua264T4NvO/wr0b7QjKVEqrn+JfMbB/Ku7rF6MFsFFFFIYVzHxG/5Jt4k/7B03/oBrp65j4jf8k28Sf9g6b/ANANAHxPRRRQAV9zeEf+RL0L/sHW/wD6LWvhmvubwj/yJehf9g63/wDRa0AbNFFFAEF7dw6fYz3lwwWGCNpHJ9AM18syXIur15FRy0shbYRySecce5r1f43areW2naVptq6BLqR5JlY43BNuB+bZ/AV5UTCZGAz5YB2sfve2a+hyijKMHUje7+7Tv/W1zysdVi5KErWX3/L+t7Es0rZVPLACsTsbqMdv881NPGYYUOCkm0YQ5Oe+Tmq7KYfJuom3L1JYfxe9Pu737VJJJMfMkYAKcYxXYqLjyxp7JO783+m9+vYwdbnk5y6tad0vwvZ/mNklyA2AWB+8PXuPeqrwuUWZFZQp4k6fMPQ+1WvKmitfPmgYRSHEbleCR6H6VULjcwGQOwPasqNenXg3Qte7vpvbR9e+qudtXDTw81TxPw6JO+ibs97dFdO225FHamcqChkcSqV3DexH90A8EZqW0U6XeXEENwssjRmKRw5wycHAzg9ABVmcfZLorEjbSMgTKMkEAjIH58etRC3aKcy5IkkQiXf82B0wcjg8fyrhq+zxMOZW5Jx0Wt/V2vZLt3a6m9GlUw1VJJuUJK70a6bXt9/k+g77NLbPDM0kTA5dVL4HysR+P3T0Nc/45nW/1GDUEJ2yoV2ZBEZBPAwBjrnFdTbsLm5sfNjiKRzhCpCjcC2Tn8z14/qvxH8MTskE2nWG1I2w6W6cYI4J9+CK+VoKVDHeyq6Oz37dF+Wx9TnGLo4jCQkvek27NbdndX/Q4nwhMkevRxzO6W8ikSlF3HAGRx9QK9DmGmXviJhC8kryKoVuDgnHPuQPzrlvCWg3IN0VVftZTAXeD8mfmA7Ek4/I+tb8MkMUk6TLHAY8RhZLUE4ySM989vp9KwxzVXFe49UrfrfRXN8tozoYKTm3zO+nZOy1Xn0v6ljzo/DWo3Sypb3TxnYHWQF1OMdCCD/+qtFNQtNbuYpLnRpC8gWKGCAM8xBbO7GMYODz6cdDWHLHBPq/mRRwMqBVijMZAmY+ufr3xxiu5+F/iTw6t7eTaqtnZ6mzZSeRSqooBBUuxIQ8dMjIPGeQJp4SVes5YhyVS2+z6b67W9e3cnGTw9LDQqYeMZJWT1enolpe/U9f02wg0rTLXT7VdsFtEsMY9FUYH8qtV5H4x+N9hYTNpfhWEatqTHYJhzAje2OXP049645z4+1W4tV8R+LL2zW6JxbWCnfgDJ3CIAAdskn3r1qtSFJXqO1/v030Wp8xfoj6LV1fdtYHacHB6H0p1ed/CiK1tbXWrOxld7WG7Ay6tkybcSEs33iWXt6CvRKcZKcVJdRhXMfEb/km3iT/ALB03/oBrp65j4jf8k28Sf8AYOm/9ANUB8T0UUUAFfc3hH/kS9C/7B1v/wCi1r4Zr7m8I/8AIl6F/wBg63/9FrQBs0UUUAeU/GvSHurbSNSAYxWzSxSEdt+0g/8Ajh/SvMYoIp7pAzHYFBkKjsOp6elfQnjm2+1eB9Yj3Bdts0uT/sfP/wCy180NdxksTIWbk9DmvdwP73CuKaUldXt3POqyVPEqUr20ej7bE9qLuN5RdCE7PmTZIpBOfY/pVS7mREcvIYyASpC53HsPbPrVrTXhuphG+8ggttjxuY4OAM+tUvE1obOWKNI3VNgLbzzk84I7EAgEc9K2pSp4VLCRm3JpvXtfvt8t9fuMTOpjZPEygktE7aLRdv1enQkbxE8kEUeIHSFjJHbMr7SWONnXoM5HPtk06WaFUVpZEil3sjJ5bjBUDk5HGSenasCWHbDHPG2Vd2UDByuMdeMd+xqVzGscUkM7zl1zOHXG1yTkdTnsc+9Y0YRpzTpNpa7fr031vvfqTVk5r39fU6WNpoyJ4igTeuJF5CkjIGT/AJ4qaJJbm+UzrJceZ8zmMEsVxzjPcf0qiEnhs9P32+2Jo98e5iQ4ycnHb0rcuNW+0izS3Xy7i2g8ppYznIwc4AOOh69azquaSnRjHmaa5rpWtom2td0k0u9ujOijUUnyVJSautFrfq0k9Ot09dr9jNeGMJGI7gyuQdzAbQCew9sVtaf/AGrqMU0a6rOreVny3zJu56D06ce9ZWAsUfAVwAEA/X/PvU1tq1xp08hTy3LEEqy5UkHIIH5V52LwEMRh/Zwi3UWzd3s7b2e++yta2m57EcfiKdTnTj7P0j1XNovJaaNp30uPvNOS085o5RvjkWONVdSznGWbA5Bzj86dbaqkcl1JeBblpI9sIkQNhs9c9sfrVWCCXUruTyozLM43EE4APckk/j9fyqKRJXnFsBvmGEMaJ6Y9Op6g/Tqa8iWFo8yoYh+/36r1s9rJffofQU8RWnRlODTj1W2nVq6b1d992nr2JLu4mEZdmfyyAp7A84+nT9KLbRDcapGrxulzJuC4cKGYDIyTweo/OoI4JG3SeXIY8kE4PGBnrjFdToem3d3qVjeXTqqxMEMUmVwgX5fbv+tZ43FUIQnOnFXV7JK3fXTXdX1a3XTQuVKrh6ahOdo2u23fXTRLazvbRa9XfV37Dw6mmafBczw2csllKAphAUxqSM7iv3jkn16V0/8AZloJIo3iDQLb+Szu7bwCemc9yc59h7VyN7qmpeGP7QLfZ5oZJXuLdFuAAqL1T5vm3YGSBkD2qvousQw20k+p3kdxdanOIXZH8wB9oCINoPIGM/Xk15E8JicRTU5Tva9mm7tOz2vpbX56a7nylfEqVSTirJtaJJK69D0/4c6TdaR/a8U0kUkEkyvbsgO8qd2d5PVs9T3rua4/4d6bdadolwLu8e6Z5yEdxj5QAB/Wuwr6WgnGnFOSl5pWv52MIu6vawVzHxG/5Jt4k/7B03/oBrp65j4jf8k28Sf9g6b/ANANalHxPRRRQAV9zeEf+RL0L/sHW/8A6LWvhmvubwj/AMiXoX/YOt//AEWtAGzRRRQBn69bteeHdTtkRXea0lRVc4BJQgA+1fK9vpwvLeaVpo7aKNNzy3Bwi5OBjAJOTxxmvoP4m63e6P4biWwd457qdYjKq7iick49zgD8TXzHrn2gODM7NIPmO70JJ4H4549a9LBuoqcuRpX+b89P66aM48TBSlFyWn9f19/maNhpd9Pb3d1aSpOIXVVkjZhnJIwFKgnPB7Y/l2tto0ksSPcT3Mc8UbCKGIhQrMp3BDk9MjknnpXnNveR288LW0jyQK0bOJMpkjBYfKTxnPI5rq5fH98LLyreO1jcxOrTODuydxymAMYzxkfWuPMaWOrKKoO8dXro1dW63872SdnbuaYedCmnzR109N7/ANff2Me402axLRRX7x+SrzKDLsA4wcDPDnGMdTj6UkdizaXbW87SW0kZZmNwcIFYBhgYyv654qpd+IN9gI2FncHyirb7cKyljzggZLDH3ie/Sr9zq0fh6OTT/she8lgASeGVlaIOTkEEsCSpA4OOfxroniKkEtLyXb7r9Ojvs9XoRCnBt817dP0/Et2Qk1SO3WR5ZTbQhA7INsUZ4GT1PLcE+1WRb3yJv3FYI02I+7A25IIyOTkk8e9Q+DdTGiWstvqTNDHfFUhRkwXbPJKkZwDxu4HBra1dha2raQ5+13NuzSySg8KNpO0ewByfeuerjqjn7GnCLV1bT7P2n0Ss3Z30163Zvg6NKM+ecmmk9ei7eb+WunkYat5hJLD5QfvcDAp8UkRkbzoXkJU7dpxg/wCHtTbuBraOMyxSwTFnR4pY2VsLj5uRjHPb0qey3AyTeQJ2QcR+SWzjkAbTwTjH0J6HmvUr1aU8NKqtnp1XWy2euvW6/EVCVRVkt+XXS3a73jdaaWt002NE3N/pdiHgmiA3CB4vL/iAyCD3+tR6Rpn9q3Usf2xY7krujDkZm5OCpJyTweg/Ko7aS3vPFSaDPdRNaXE6XbToxjjwITlVXPy8k8luqjitXXNMM2nvNo0UMN0lykcAubZFJcAb2Uk85A3dDwG49PlKk/ZyfJ7s5q97aLmato/Rp31srt3PQ/tB+xVNLZrybSve7W++nRbbEU8LDQBaWMM3+vk848vu2hckcdAfTnioNIvmtdJlexMTX73KQRrcNhIl2mRnwcHBGefyqlqFx4pt5oZry4E8ZV0ure3UtGVCqCWwwGcsSc7RkHkis3TL0xvd6TqWoW7tesHZLVyWWQnO/eo2DgDoTj8xTp4W9OUNHFtO177Pr3/De3Uzr5jUqwXMve1u+rvf8LWVvJFjUL631SVNW1L7VBazWZTftbHmEkMqPjgYJGDwffrXP6Alrq2sQpdRE2lujeXHsJknOQApIOWbLLgD2GBXRiCy1WM29vq1/cyExRKSy7JGXmOMZTDNkHB4J3d+a9Z+FnwstfDGn22ravbiTXXBfbIQy2ueyjpuxjJ/Ae/oUo8kOXbt6HBFc7PQtGszp+jWlqV2skY3L6E8kfmavUUUkrKyOgK5j4jf8k28Sf8AYOm/9ANdPXMfEb/km3iT/sHTf+gGmB8T0UUUAFfc3hH/AJEvQv8AsHW//ota+Ga+5vCP/Il6F/2Drf8A9FrQBs0UUUAcJ8UbQ3Wi27ByjRM7Ar1+7ivBfFd1AuiItvpEMBlcLLcswZyQMhVzyBjkn6DNe/8AxS0q+1Hwk02nRyy3NnJ53lRfedMEMB6nkH8K+adVllv7azi+zSxszna7zZjdmCjp0BHfvyM9K7KdOMqcZOWqei2t66q/lozmlOSlKNtHYp+H2kiujcjiKLCs+8DaXyAeuf8APNbcelzSaZPJYhpI180zKLNXMa7eGDnqCVIwDlcEgU238KanLokjW9t9m3Bt4e5KvKN/yBkIA6rgdM5BrQ0q9kXTbvQre5MO5GgkWe33hZWcBRlR8z7dwzj+EY6VhWxn7tqNrpr7vPfvpsEKTnNKKuzA0nw7da1FdyvBibcHRnfylbKsxCqFOex4wMD3qA3t1Z3Nyq2/lbPLinuSrSOjochlZsFSSvA9vavYYPhh41vbCf7Xewwb7dY7eBLrYI/lw24LFgc+nOOKwIfgD4tjuY5JrrR5o1GGRbmVNwxjGRHUxk5Nuf3D5WeYpqc51eK/iefz1IOTJuZm/iwSO5zxg9e9ehabp9zrnhmXUBefZ2v5Qjq5YRK46ng4G4qoOQasD9n3xaZGklvtKcsCflnkzux3zH607WtD1Lwrs0i6MMURjEv2e1naREzwc5GcnBP41q6bq2jSai11eu39X+Q1Fc3vLQyNa8R3OpacpttLjuLOwj2GXy22xF1UdMnGCGxnijQptQMKNDJFFnyxtldlW4DOBjpgj5sEZ/hNaGgXUukXUNxbyAxzzIkkEcwUj5gPmU4ByMjJ45612Pw6+GQ1CG7v/FVgrwOWjtreVcPt3E7iwOQOwx79sVlKmqPNhoJcia31u9b3T63vrpvddGEZTk+a+rXpp/w1tPvPNG16/i8SHUFctLbqogW2iLKp3YaLr8qZZh74GK9J8K+GLnx5q39p6xZzWml2Nxm3Qy/O7AYdNw6pu7g9Mjvkep6R4R8P6DEYtM0m1t1PXCbifqTkmtoAAYAwKxdKnzKairpWT8v6/N9zRRfVnP6t4K0LWLNraW08hWjaMtbHyztYYPTg8dyM1xV38DtHSLbpd3JG2woDdIsxTkMNpwMYOeoOc9a9Voq9huKZw/hX4aad4cu4buWX7VNb7mt1KbUhZvvsBnknJ+mTjFdxRRQNJJWQUUUUDCuY+I3/ACTbxJ/2Dpv/AEA109cx8Rv+SbeJP+wdN/6AaAPieiiigAr7m8I/8iXoX/YOt/8A0WtFFAGzRRRQAVUl0vT7gkzWFrISd2XhU8+vI60UUAK+mafJu32Ns24YbMSnP14pINL061k8y3sLWF853Rwqp/MCiigFoW6KKKACst/Dmjy6ib+TToHui28yuuTnGM80UU1JrZiaT3L0FnbWzO1vbwxM+NxjQLux6461NRRSGFFFFABRRRQAUUUUAFFFFABXMfEb/km3iT/sHTf+gGiigD4nooooA//Z 2025-07-30 11:09:31 U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler Mohammed Al-Saffar U.S. Fish and Wildlife Service mohammed_al-saffar@fws.gov 2651 Coolidge Road, Suite 101 East Lansing Michigan 48823 US 5175800979 https://umgljv.org/ Upper Mississippi/Great Lakes Region Joint Venture Website Monday - Friday, 8:00 am - 4:30 pm Eastern Preferred contact method: Email Mohammed A. Al-Saffar Wildlife Biologist, Bird Conservation Modeler Mohammed Al-Saffar For existing data used in this project, please refer to the 2018 Joint Venture Waterbird Habitat Conservation Strategy that identifies existing data, the associated citations, and the data manipulation steps carried out on the original data layers. This will be updated, as needed, and as new existing data are identified and used. Waterbird Conservation Zones 1 Esri 8.1.2 1 ArcGIS Metadata 1.0 Simple FALSE 1 TRUE FALSE