Occupancy in continuous habitat

By M. Efford, D. Dawson. 2012

220 citations recorded by the source corpus.

The probability that a site has at least one individual of a species (‘occupancy') has come to be widely used as a state variable for animal population monitoring. The available statistical theory for estimation when detection is imperfect applies particularly to habitat patches or islands, although it is also used for arbitrary plots in continuous habitat. The probability that such a plot is occupied depends on plot size and home-range characteristics (size, shape and dispersion) as well as population density. Plot size is critical to the definition of occupancy as a state variable, but clear advice on plot size is missing from the literature on the design of occupancy studies. We describe models for the effects of varying plot size and home-range size on expected occupancy. Temporal, spatial, and species variation in average home-range size is to be expected, but information on home ranges is difficult to retrieve from species presence/absence data collected in occupancy studies. The effect of variable ...

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/195631fc5428c1584eb3949f5707d389741b936d

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In Ecology

Citations in the corpus

Do occupancy or detection rates from camera traps reflect deer density? (2017, unknown): “Thus, occupancy estimates become measures of use and are more analogous to detection rate models than to true occupancy models (Efford and Dawson 2012).”
An empirical evaluation of camera trap study design: How many, how long and when? (2020, background): “We make direct comparisons of occupancy estimates from camera arrays set at different spatial scales, but assume that the occupied site is the small detection zone directly in front of the camera and not some larger area defined by camera spacing (Efford & Dawson, 2012).”
Advances and applications of occupancy models (2014, background): “Several recent papers have been critical of the use of occupancy models when the above terms are ambiguous (Efford & Dawson 2012) or defined in a manner that leads to violation of critical model assumptions (e.g. Kendall & White 2009; Guillera-Arroita 2011).”