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    <Esri>
        		
        <CreaDate>2020-06-04</CreaDate>
        		
        <CreaTime>14175500</CreaTime>
        		
        <ModDate>2022-01-03</ModDate>
        		
        <ModTime>08:59:32.08</ModTime>
        		
        <PublishStatus>editor:esri.dijit.metadata.editor</PublishStatus>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
        		
        <ArcGISProfile>FGDC</ArcGISProfile>
        		
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        <SyncOnce>TRUE</SyncOnce>
        	
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    <mdFileID>1608221369611r7179356416260925</mdFileID>
    	
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    <mdDateSt>2020-12-17</mdDateSt>
    	
    <mdTimeSt>08:59:29.46</mdTimeSt>
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>bats_all_150</resTitle>
            			
            <collTitle>Great Lakes Bat Map - All Species</collTitle>
            			
            <date>
                				
                <createDate>2020-06-04</createDate>
                			
            </date>
            			
            <citRespParty>
                				
                <role>
                    					
                    <RoleCd value="006"/>
                    				
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        <idAbs>This is a feature set depicting estimated bat activity level modeled using the Great Lakes bat acoustic dataset (downloadable from https://www.fws.gov/radar/acoustic/index.html and also available on the BatAmp platform). A series of spatio-temporal models were built with decision tree regression on various spatial covariates (land cover, distance from physiographic features, geography) and temporal covariates (weather, time of night, time of season) with bat pass counts (at locations specified in the Bat Sites point layer) as the response. The covariate-specific responses identified by the models were then used to predict bat pass rates across the region based on spatial characteristics, under a set of static temporal conditions associated with above-average bat activity levels. The values of each shape indicate the predicted activity level on a relative scale, taking a categorical value from a range of 24 different values. The activity levels depicted represent all bats combined (all species). A thorough description of the modeling methodology can be provided in the manuscript &amp;quot;Spatial models of acoustic data identify Great Lakes coasts and northern forests as bat activity hotspots&amp;quot; by Heist et al. (available on request from FWS Radar Project [fws.gov/radar] or Kevin Heist [kevinwheist@gmail.com])</idAbs>
        		
        <idPurp>Modeled bat activity level for all species in the Great Lakes Upper Midwest Region</idPurp>
        		
        <suppInfo>A description of the modeling methodology can be provided in the manuscript "Spatial models of acoustic data identify Great Lakes coasts and northern forests as bat activity hotspots" by Heist et al. (available on request from FWS Radar Project [fws.gov/radar] or Kevin Heist [kevinwheist@gmail.com])

For information on the data collection effort: https://www.fws.gov/radar/acoustic/index.html</suppInfo>
        		
        <idCredit>Data Collection: Kevin Heist, Betina Chaon, Kim Reich, Chris Potter;  USFWS Ecological Services: Jeff Gosse, David Larson, Jill Utrup, Nate Rathbun, Dan Nolfi, Becky Horton, Tim Bowden, Mike Wells.  Concept Design: Douglas H Johnson, Kevin Heist.  Map Production:  Kevin Heist</idCredit>
        		
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        <dataExt>
            			
            <geoEle>
                				
                <GeoBndBox>
                    					
                    <westBL>-97.202137</westBL>
                    					
                    <eastBL>-74.640371</eastBL>
                    					
                    <southBL>38.531187</southBL>
                    					
                    <northBL>49.385115</northBL>
                    				
                </GeoBndBox>
                			
            </geoEle>
            			
            <tempEle>
                				
                <TempExtent>
                    					
                    <exTemp>
                        						
                        <TM_Period>
                            							
                            <tmBegin>2010-01-01</tmBegin>
                            							
                            <tmEnd>2018-12-31</tmEnd>
                            						
                        </TM_Period>
                        					
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        </dataExt>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit>&lt;div&gt;Values in this layer represent model-based estimates, and do not reflect actual observed pass rates. The model is based on a set of spatial covariates and only explains a limited amount of the overall variation observed in bat pass counts. The full spatio-temporal model explains about 73% of overall variance, but the spatial patterns displayed here explain only 26% of the overall variance.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The findings and conclusions in this dataset are those of the authors and do not necessarily represent the views of the U.S. Department of the Interior. The mention of trade names or commercial products in this report does not constitute endorsement or recommendation for use by the Federal government.&lt;/div&gt;</useLimit>
                			
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