1. Great Lakes Aquatic Gap Building a Wisconsin Aquatic GAP Biology Database Barb Scudder and Morgan Schneider

2. Who is doing what in WI? WI Data Acquisition: Barb Scudder, Michelle Lutz WDNR Biology Database Updates/Summary: Morgan Schneider WDNR Historical Database Interpretation/Cleaning: Matt Diebel Database Design/Consulting: Morgan Schneider Data formatting/loading: Matt Diebel, Michelle Lutz, Krista Stensvold

3. Objectives for this year  Develop a Central GAP Database Design USGS Great Lakes Science Center (Scott Nelson)  Develop a list of WI data sources Fish (Current) Benthic invertebrates (Future) Freshwater Mussels (Future)  Acquire fish data and load into WI GAP database Spring - Acquire fish data June - Format/load fish data

4. Central GAP Database Design  Initial Database Design - Scott Nelson (USGS Great Lakes Science Center)  Central GAP Database serves data to only GAP projects at this point  Central GAP Database eventually shared with USGS National Biological Information Infrastructure (NBII): http://www.nbii.gov http://www.nbii.gov  WI GAP database (MS Access) designed to load easily into Central GAP Database (Oracle)

6. Database Fields Required Fields:  Location Site/location name Lat/long, TRS OR other description  Date  Fish species ID Scientific name OR Common name  Abundance OR Presence Optional Fields:  Effort Gear used Mesh size Effort units Distance sampled Area sampled  Hydrologic Unit  River mile

7. Data Sources  Fish WDNR Biology database WDNR Historical database US Forest Service US Fish & Wildlife Service US Geological Survey Oneida Tribe of Indians Milwaukee Public Museum University of Wisconsin University of Michigan University of Minnesota  Benthic invertebrates WDNR US Forest Service US Geological Survey Oneida Tribe of Indians University of Wisconsin  Mussels WDNR US Forest Service Milwaukee Public Museum

8. WDNR Biology Database  Database proposed November 1999  Database online January 2001  Data available from the WDNR Biology Database Fish community Habitat assessments Fish Stocking data Tribal fish information

9. WDNR Biology Database Growth

10. WDNR Biology Database Status  Priority on entering new data Bureau of Fisheries Management and Habitat Protection Bureau of Research  Legacy data sets loaded Master Fish File (Don Fago)  Legacy data sets considered for future loading Wang fish and habitat Kanehl fish and habitat Historical Fisheries (Doug Beard - Paradox database) Mussels database Macroinvertebrate database UW-SP, Stan Szczytko

11. WDNR Biology Database Fish Sampling Locations 1880 – present 28,500 samples ~17,000 sites

12. WDNR Biology Database Sample Summary

13. WDNR Biology Database Species Summary  Number of fish species in the WDNR Biology Database 172  Fish species collected in the highest numbers BLUEGILL - Lepomis macrochirus BROWN TROUT - Salmo trutta WALLEYE - Stizostedion vitreum vitreum LARGEMOUTH BASS - Micropterus salmoides NORTHERN PIKE - Esox lucius WHITE SUCKER - Catostomus commersoni BROOK TROUT - Salvelinus fontilalis YELLOW PERCH - Perca flavescens CREEK CHUB - Semotilus atromaculatus SMALLMOUTH BASS - Micropterus dolomieu ROCK BASS - Ambloplites rupestris

14. WDNR Historical Fish Database Location to Q Section / Non-targeted surveys 4346 samples Location to Q Section/ Targeted surveys 1172 samples Location to Section or Twnship-Rge / Non-targeted surveys 8393 samples Location to Section or Twnship-Rge / Targeted surveys 2360 samples Location varies (County or Notes) / Targeted and Non- 2594 samples Total 18865 samples Doug Beard

15. Determining Locations: WNDR Historical Database Records

16. Determining Locations: WNDR Historical Database Records

17. Determining locations  “Geolocate” program Tulane University Museum of Natural History (Nelson Rios) No cost Beta testing phase Designed for converting museum site text descriptions to georeferenced locations Not yet tested by GAP

21. Plans for next year  Finalize development of fish database  Review literature/summarize fish habitat suitability  Prepare fish species distribution maps and distribute for expert review  Interface fish database with valley segment database  Continue identifying sources of other data Macroinvertebrates: Insects/Mussels