Conditional Occupancy Design Explained

Occupancy surveys are widely used in ecology to study wildlife and plant habitat use. To account for imperfect detection probability many researchers use occupancy models. But occupancy probability estimates for rare species tend to be biased because we’re unlikely to observe the animals at all and as a result, the data aren’t very informative.

In their new article – ‘Occupancy surveys with conditional replicates: An alternative sampling design for rare species‘ – Specht et al. developed a new “conditional” occupancy survey design to improve occupancy estimates for rare species, They also compare it to standard and removal occupancy study designs. In this video two of the authors, Hannah Specht and Henry Reich, explain how their new conditional occupancy survey design works. 

This video is based on the article ‘Occupancy surveys with conditional replicates: An alternative sampling design for rare species‘ by Specht et al.

 

Recently accepted articles

We have been very busy in the past couple of weeks and we have a whole range of recently accepted articles:

  • A novel digital telemetry system for tracking wild animals: a field test for studying mate choice in a lekking tropical bird
    Dan Mennill, Stéphanie Doucet, Kara-Anne Ward, Dugan Maynard, Brian Otis and John Burt
  • A general theory of multimetric indices and their properties
    Donald Schoolmaster, James Grace and E. Schweiger
  • Beyond sensitivity: nonlinear perturbation analysis of transient dynamics
    Iain Stott, Dave Hodgson, and Stuart Townley
  • A two-phase sampling design for increasing detection of rare species in occupancy surveys
    Krishna Pacifici, Robert Dorazio and Michael Conroy
  • Metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring
    Douglas Yu, Yingiu Ji, Brent Emerson, Xiaoyang Wang, Chengxi Ye, Chunyan Yang and Zhaoli Ding
  • How to measure and test phylogenetic signal
    Tamara Münkemüller, Sébastien Lavergne, Bruno Bzeznik, Stéphane Dray, Thibaut Jombart, Katja Schiffers and Wilfried Thuiller
  • Statistical evaluation of parameters estimating autocorrelation and individual heterogeneity in longitudinal studies
    Sandra Hamel, Nigel Yoccoz and Jean-Michel Gaillard
  • jPopGen Suite: population genetics analysis of DNA polymorphism from nucleotide sequences with errors
    Xiaoming Liu

They will be soon available on Early View.