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North Atlantic Vernal Pool Data Cooperative Compiling and Modeling Location Data for Conservation
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North Atlantic Vernal Pool Data Cooperative Steve Faccio Kent McFarland The University of Vermont Spatial Analysis Lab Jarlath O’Neil-Dunne Sean MacFaden Ernest Buford Dan Lambert
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J. Danckerts 1655
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M. Anderson et al. 2013 96 terrestrial habitats23 stream and river habitats
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DeLuca 2010 Landscape Capability Model - Wood Thrush Conservation Design
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Land Protection Highstead
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Habitat Vulnerability Assessment Manomet Center for Conservation Sciences National Wildlife Federation MC Rainey
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Sampling Design Lambert et al. 2005
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What’s Missing?
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Small Temporary Hidden Variable Mapping Challenges
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1992 Color Infrared2001 B&W Orthophoto
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1.Compile known and potential vernal pool locations 2.Describe and align mapping methods 3.Develop a LiDAR-based approach to mapping PVPs North Atlantic Vernal Pool Data Cooperative Objectives
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Potential Vernal Pools (n = 29,000+) Certified Vernal Pools (n = 6,818)
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Potential Vernal Pools (n = 13,000+) Certified Vernal Pools (n = 1,340)
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Potential Vernal Pools (n = 4,856) Field-verified Vernal Pools (n = 648)
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Vernal Pool Data: All Over the Map Mapping methods Geographic coverage Spatial accuracy Accessibility of data
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VPDC Handbook 1.Catalog of VP datasets 1.Metadata library methods, accuracy, restrictions 3. Data standards
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Proposed Minimum and Supplementary Data Fields Minimum Fields Required Unique ID Remotely Mapped? Remote mapping source Remotely Mapped by? Date remotely mapped Field Visited? Date of field visit Original Data source Institutional code Town State Location Comments Coord source Lat Long Datum Land Owner Permission? Data Restriction Category How? When? Who? Where? Restricted? Supplementary Fields (Optional) Pool Type Inlet Type Outlet Type Upland Habitat Forest Type Max Depth Hydro Period Max Width Max Length Pool Disturbance Biological indicators Species No. of Eggs Larvae? Adults? Species Comments
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Vernal Pool Atlas
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Proposed Data Access Levels Level 1: Unrestricted - Available for visualization and download through Data Basin. Level 2: Visualization only – Can be used for visualization in Data Basin. Download requires permission from source. Level 3: Restricted – Cannot be used for visualization in Data Basin. Access requires permission from source.
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ESRI Modeling Potential Vernal Pools
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Light Detection and Ranging
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High-Resolution 3D Point Clouds
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Digital Elevation Model
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Landscape depression = PVP
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Corp 1.Identify depressions (DEM) & flow potential 2.Incorporate other variables using local knowledge 3.Use OBIA to simultaneously evaluate multiple data sets (LiDAR, imagery, thematic layers) 4.Build rule sets to identify PVPs 5.Validate in the field 6.Adapt rule sets to different physiographic regions Mapping Approach
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US Interagency Elevation Inventory LiDAR Availability is Expanding
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Help us fill the map Scott Jackson
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Conservation design Municipal planning Forest management Population viability analysis Monitoring and research Conservation & Science Applications
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Rob Baldwin, Clemson University Aram Calhoun, University of Maine John Heilferty, New Jersey DEP Mary Beth Kolozsvary, Siena College David Patrick, Paul Smith’s College Scott Smith, Maryland DNR Scott Schwenk, North Atlantic LCC Lesley Sneddon, NatureServe Steering Committee
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