WHAT ARE THE ISSUES WITH PRESENCE–ABSENCE DATA FOR WILDLIFE MANAGERS?

By D. MacKenzie. 2005

440 citations recorded by the source corpus.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/71f7ce03a6145d34cee41af17a8f600aa2d89e9f

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In Ecology

Citations in the corpus

The roles of landscape context, niche breadth, and range boundaries in predicting species responses to habitat alteration (2006, background): “Finally, non-detection error also may have reduced explanatory power of our models (MacKenzie, 2005) and contributed to variation in occupancy between species.”
The importance of correcting for sampling bias in MaxEnt species distribution models (2013, methodology): “data points taken randomly from the study area) may lead to inaccurate models that in turn may lead to inappropriate management decisions (MacKenzie, 2005; Phillips et al., 2009).”
An invasive‐native mammalian species replacement process captured by camera trap survey random encounter models (2016, background): “Population conservation and management are dependent upon knowledge of the target species distribution and abundance (Mackenzie 2005).”
Imperfect detection and its consequences for monitoring for conservation (2008, background): “Therefore, for species with activity ranges larger than a sampling quadrat, our estimate of occupancy must be interpreted not necessarily as “permanent occupancy” but rather as “use” sometime during the sampled time period (see also MacKenzie 2005, p. 850).”
Coexistence of mesopredators in an intact polar ocean ecosystem: The basis for defining a Ross Sea marine protected area (2012, methodology): “…data available were representative of ‘‘true’’ absences, due to incomplete and possibly biased survey coverage, which can lead poor modeling results (Mackenzie, 2005); (2) we wished to use a consistent approach for all species to make results directly comparable and to facilitate inclusion in…”
The Need for Large-Scale, Integrated Studies of Biodiversity ? the Experience of the Program for Biodiversity Research in Brazilian Amazonia (2010, background): “Patterns of movement also affect density or frequency of occurrence (MacKenzie 2005).”
Scale for resource selection functions (2006, background): “One of the common difficulties with a presence/absence design is called an ‘asymmetry of errors’ where presence is observed and thereby known with certainty, but absence can be difficult to evaluate (MacKenzie, 2005).”
Designing occupancy studies: general advice and allocating survey effort (2005, methodology): “Unaccounted for ‘false absences’ will lead to underestimates of the true level of occupancy, and estimates of the relative change in occupancy will only be valid if the surveyors’ ability to detect the species is identical in the two time periods (MacKenzie 2005a). The imperfect detection of a speci”