2 Works

Prevalence of Ranavirus, Batrachochytrium dendrobatidis, B. salamandrivorans, and Ophidiomyces ophiodiicola in Amphibians and Reptiles of North Carolina, USA

Thomas Lentz, Stephanie Thi, Andrew Duncan, Adam Miranda, Jeffrey Beane, Daniel Dombrowski, Brenna Forester, Christopher Akcali, Nathan Shepard, , Alvin Braswell, Lori Williams, Charles Lawson, Christopher Jenkins, Joseph Pechmann, Jacqueline Blake, Melissa Hooper, Keenan Freitas, Ann Somers & Bryan Stuart
The viral pathogen Ranavirus (Rv) and the fungal pathogens Batrachochytrium dendrobatidis (Bd), B. salamandrivorans (Bsal), and Ophidiomyces ophiodiicola (Oo) infect amphibians and reptiles. In recent years, there has been increased interest in reporting the occurrences of these pathogens. North Carolina, USA has a rich diversity of amphibians and reptiles, and is notably the most species-rich U.S. state in salamanders. We assessed prevalence of Rv, Bd, Bsal, and Oo in a broad taxonomic and geographic representation...

Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions

Jennifer McCabe, John Clare, Tricia Miller, Todd Katzner, Jeff Cooper, Scott Somershoe, David Hanni, Christine Kelly, Robert Sargent, Eric Soehren, Carrie Threadgill, Mercedes Maddox, Jonathan Stober, Mark Martell, Thomas Salo, Andrew Berry, Michael Lanzone, Melissa Braham & Christopher McClure
Habitat selection studies are designed to generate predictions of species distributions or inference regarding general habitat associations and individual variation in habitat use. Such studies frequently involve either individually indexed locations gathered across limited spatial extents and analyzed using resource selection functions (RSF), or spatially extensive locational data without individual resolution typically analyzed using species distribution models. Both analytical methodologies have certain desirable features, but analyses that combine individual- and population-level inference with flexible non-linear...

Registration Year

  • 2021
    2

Resource Types

  • Dataset
    2

Affiliations

  • North Carolina Wildlife Resources Commission
    2
  • Duke University
    1
  • Western Carolina University
    1
  • West Virginia University
    1
  • University of North Carolina
    1
  • North Carolina Museum of Natural Sciences
    1
  • Georgia Department of Natural Resources
    1
  • University of Wisconsin-Madison
    1
  • Tennessee Wildlife Resources Agency
    1
  • University of North Carolina Wilmington
    1