Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance

John Clare, Shawn T. McKinney, John E. DePue & Cynthia S. Loftin
It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that...

Registration Year

  • 2017
    1

Resource Types

  • Dataset
    1

Affiliations

  • Michigan Department of Natural Resources
    1
  • University of Maine
    1
  • United States Geological Survey
    1
  • Maine Department of Inland Fisheries and Wildlife
    1