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Biodiversity Informatics Tools for Wildlife Monitoring Surveys

Explore wildlife monitoring surveys with a focus on biodiversity informatics, data management, and survey analysis. Discover tools for wildlife survey design, population monitoring, and data dissemination. Learn about Patuxent Wildlife Research Center's research programs, scientific publications, and software resources.

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Biodiversity Informatics Tools for Wildlife Monitoring Surveys

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  1. Wildlife monitoring surveys in biodiversity informatics How do people search and use information?

  2. USGS Patuxent Wildlife Research Center science • Population monitoring programs • Wildlife survey design & analysis • Data management & dissemination for wildlife surveys • Wetlands ecology • Wildlife contaminants • Endangered Species (e.g. whoopers) • Systematics

  3. Patuxent’s products* • Scientific publications (journals, books) • Software: analytical tools • Web-based publications: • Bird population trends • Vertebrate contaminants findings • Web-based data management and dissemination • Wildlife survey management • Agency surveys (e.g. colonial waterbirds) from a variety of sources • Map and text-based tools for searching & exploring data * Generalized – Patuxent’s research program is broad and varied, and this presentation cannot adequately cover it in depth: focus on topics related to biodiversity informatics.

  4. Examples of data searches, Patuxent datasets • Trends for a single species in the Appalachian mountains • Toxicology screens for compound X in ducks • Breeding distribution for Kentucky Warbler in relation to Bird Conservation Regions

  5. Common problems obtaining wildlife observational data from multiple sources • Quality controls unclear (locations of landbirds in the ocean) • Actual collection event often not visible • Field method components ignored: 5 vs 10 minute counts • Sampling scheme ignored: random vs stratified samples

  6. How can our tools be more useful? • Allow people to use their favorite tools : • GIS, SAS, population modeling software, desktop rdbms • Corollary: allow developers to embed tools • Eschew all-encompassing terms for tools, favoring specificity in name & description • Don’t make users search to unnecessarily • Partner with other fields: libraries face similar issues: how do you tell a user which database to search for journal(s) of interest, especially if one ‘global search’ is unrealistic.

  7. What would we like to see as a tool? Integrated toolsets

  8. What would we like to see as a tool? Integrated toolsets

  9. I would like to make users confident of… • … having found the relevant data and searched major repositories • …understanding the nature and source of the data • …the quality controls on the data • …the use & citation policies of providers • …knowing how to duplicate search again later

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