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Development of population and habitat objectives for FWS Trust Resources in the Roanoke-Tar-Neuse-Cape Fear (RTNCF) Ecoregion of the South Atlantic Migratory Bird Initiative (SAMBI) Project Area

Dates

Start Date
2005-10
End Date
2009-09

Citation

Drew, C.A. and J.A. Collazo. 2014. Bayesian networks as a framework to step-down and support Strategic Habitat Conservation of data-poor species: A case study with King Rail (Rallus elegans) in Eastern North Carolina and Southeastern Virginia. SSP report prepared for U.S. Fish and Wildlife Service, Raleigh Field Office, Raleigh, NC.

Summary

This SSP project resulted in a final report and two publications (Nest occurrence and survival of King Rails in fire-managed coastal marshes in North Carolina and Virginia, King Rail (Rallus elegans) Occupancy and Abundance in Fire Managed Coastal Marshes in North Carolina and Virginia). The project explored this use of Bayesian network modeling using the King Rail as a case study. Although Bayesian network (BN) models have been promoted to the conservation community as models well-suited to support adaptive management strategies, there have been few tests of these claims. To test the value of BNs to support U.S. Fish and Wildlife Service and U.S. Geological Service's Strategic Habitat Conservation approach to adaptive management, [...]

Contacts

Principal Investigator :
Jaime Collazo
Co-Investigator :
Stephen Earsom
(other) :
North Carolina Cooperative Fish and Wildlife Research Unit

Attached Files

Purpose

This SSP project used the King Rail as a case study to test the use of Bayesian network models as a tool for supporting population and habitat objectives.

Map

Spatial Services

ScienceBase WMS

Communities

  • SSP/QR FWSR4
  • USGS/FWS Science Support Partnership Program

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