@ARTICLE{White2005,
  author = {White, G.C.},
  title = {Correcting wildlife counts using detection probabilities},
  journal = {Wildlife Research},
  year = {2005},
  volume = {32},
  pages = {211--216},
  number = {3},
  abstract = {One of the most pervasive uses of indices of wildlife populations
	is unconnected counts of animals. Two examples are the minimum number
	known alive from capture and release studies, and aerial surveys
	where the detection probability is not estimated from a sightability
	model, marked animals, or distance sampling. Both the mark-recapture
	and distance-sampling estimators are techniques to estimate the probability
	of detection of an individual animal (or cluster of animals), which
	is then used to correct a count of animals. However, often the number
	of animals in a survey is inadequate to compute an estimate of the
	detection probability and hence correct the count. Modern methods
	allow sophisticated modelling to estimate the detection probability,
	including incorporating covariates to provide additional information
	about the detection probability. Examples from both distance and
	mark-recapture sampling are presented to demonstrate the approach.
	© CSIRO 2005.},
  address = {Department of Fishery and Wildlife Biology, Colorado State University,
	Fort Collins, CO 80523, United States},
  owner = {eric},
  subdatabase = {distance},
  timestamp = {2006.11.05}
}

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