North Atlantic Vernal Pool Data Cooperative Compiling and Modeling Location Data for Conservation
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
J. Danckerts 1655
M. Anderson et al terrestrial habitats23 stream and river habitats
DeLuca 2010 Landscape Capability Model - Wood Thrush Conservation Design
Land Protection Highstead
Habitat Vulnerability Assessment Manomet Center for Conservation Sciences National Wildlife Federation MC Rainey
Sampling Design Lambert et al. 2005
What’s Missing?
Small Temporary Hidden Variable Mapping Challenges
1992 Color Infrared2001 B&W Orthophoto
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
Potential Vernal Pools (n = 29,000+) Certified Vernal Pools (n = 6,818)
Potential Vernal Pools (n = 13,000+) Certified Vernal Pools (n = 1,340)
Potential Vernal Pools (n = 4,856) Field-verified Vernal Pools (n = 648)
Vernal Pool Data: All Over the Map Mapping methods Geographic coverage Spatial accuracy Accessibility of data
VPDC Handbook 1.Catalog of VP datasets 1.Metadata library methods, accuracy, restrictions 3. Data standards
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
Vernal Pool Atlas
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.
ESRI Modeling Potential Vernal Pools
Light Detection and Ranging
High-Resolution 3D Point Clouds
Digital Elevation Model
Landscape depression = PVP
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
US Interagency Elevation Inventory LiDAR Availability is Expanding
Help us fill the map Scott Jackson
Conservation design Municipal planning Forest management Population viability analysis Monitoring and research Conservation & Science Applications
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