2 Works

An empirical evaluation of camera trap study design: how many, how long, and when?

Roland Kays, Brian Arbogast, Megan Baker-Whatton, Chris Beirne, Hailey Boone, Mark Bowler, Santiago Burneo, Michael Cove, Ping Ding, Santiago Espinosa, André Gonçalves, Christopher Hansen, Patrick Jansen, Joseph Kolowski, Travis Knowles, Marcela Lima, Joshua Millspaugh, William McShea, Krishna Pacifici, Arielle Parsons, Brent Pease, Francesco Rovero, Fernanda Santos, Stephanie Schuttler, Douglas Sheil … & Wilson Spironello
1. Camera traps deployed in grids or stratified random designs are a well-established survey tool for wildlife but there has been little evaluation of study design parameters. 2. We used an empirical subsampling approach involving 2225 camera deployments run at 41 study areas around the world to evaluate three aspects of camera trap study design (number of sites, duration and season of sampling) and their influence on the estimation of three ecological metrics (species richness,...

Temporal patterns of visitation of birds and mammals at mineral licks in the Peruvian Amazon

Brian Griffiths, Mark Bowler, Michael Gilmore & David Luther
Mineral licks are key ecological resources for many species of birds and mammals in Amazonia, providing essential dietary nutrients and clays, yet little is known about which species visit and their behaviors at the mineral licks. Studying visitation and behavior at mineral licks can provide insight into the lives of otherwise secretive and elusive species. We assessed which species visited mineral licks, when they visited, and whether visits and the probability of recording groups at...

Registration Year

  • 2020
    2

Resource Types

  • Dataset
    2

Affiliations

  • University of Suffolk
    2
  • Autonomous University of San Luis Potosí
    1
  • University of Montana
    1
  • Zhejiang University
    1
  • The Nature Conservancy
    1
  • Francis Marion University
    1
  • Duke University
    1
  • Museu Paraense Emílio Goeldi
    1
  • North Carolina Museum of Natural Sciences
    1
  • National Institute of Amazonian Research
    1