Inferring the absence of a species -- a case study of snakes

By Marc Kéry. 2002

306 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f8ece738d77eeec418ccb50acee9689d154ec5bb

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Citations in the corpus

Citizen Science as a Tool for Augmenting Museum Collection Data from Urban Areas (2017, background): “…sampling is haphazard and so may not be even across the study region, and because participants may differ in their ability to detect different species, it is difficult to use citizen science to reliably document species absence or abundance (Kéry, 2002; Mackenzie, 2005; Dickinson et al., 2010).”
A comparison of the effectiveness of camera trapping and live trapping for sampling terrestrial small-mammal communities (2010, background): “wherea= thedesired level of confidence (%) andp = thedetection probability (Kéry 2002).”
Predicting species distributions from checklist data using site‐occupancy models (2010, background): “This effect was probably driven by the underlying effect of abundance (Gaston et al., 2000; Royle & Nichols, 2003): species tend to be more common where they are most widespread, and local population size is one of the chief factors affecting detection probability (Kéry, 2002).”
ESTIMATING AND DEALING WITH DETECTABILITY IN OCCUPANCY SURVEYS FOR FOREST OWLS AND ARBOREAL MARSUPIALS (2005, background): “Recent studies demonstrated that detection probabilities were often much lower than 1 (Kery 2002, Tyre et al. 2003, Bailey et al. 2004) and that false absences may have a negative impact on species-habitat analyses (Tyre et al. 2003, Gu and Swihart 2004), metapopulation models (Moilanen 2002), and…”
The ghost of past species occurrence: improving species distribution models for presence-only data (2006, background): “Misclassification of a site as an absence may be more frequent for small populations, for example with rare and endangered species (McArdle 1990; Kery 2002 ).”
Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB (2009, background): “Figure 3c and d can also have great importance for the planning of a survey of an individual species in that the optimal values of season and effort can be easily determined for each species (Kéry 2002).”
Needles in haystacks: Estimating detection probability and occupancy of rare and cryptic snakes (2011, methodology): “25; Harvey, 2005), for three species of European forest-edge snakes (0.23–0.70, 0.09–0.56 and 0.11–0.25; Kéry, 2002) and for pine-flatwoods snakes in the southeastern USA (0.”
When have we looked hard enough? A novel method for setting minimum survey effort protocols for flora surveys (2008, background): “Many species of plants and animals have detection probabilities of less than one and can remain undetected at a site when they are present (McArdle 1990; Parris et al. 1999; Kery 2002, 2003; Slade et al. 2003; Tyre et al. 2003; Bailey et al. 2004; Wintle et al. 2004, 2005; de Solla et al. 2005).”
Monitoring distributions using call surveys: estimating site occupancy, detection probabilities and inferring absence. (2005, background): “A related problem is that one can detect the presence of individuals, populations, or species, but one can never be certain that individuals, populations, or species are truly absent rather than simply undetected (McArdle, 1990; Solow, 1993; Reed, 1996; MacKenzie et al., 2002; Kéry, 2002).”
Modelling occurrence and abundance of species when detection is imperfect (2005, background): “…the basic structnral elements that were the focus of He and Gaston (2003), and includes inference procedures based on observable qnantities as elaborated by Kéry (2002), MacKenzie et al. (2002, 2003), Royle and Nichols (2003), Tyre et al. (2003), Gu and Swihart (2004), and Royle (2004a).”
Factors affecting detection probability in plant distribution studies (2009, methodology): “However, some authors have long acknowledged that a species may go undetected in a survey even when it is actually present within a sampling unit (Kéry 2002, 2004; MacKenzie et al. 2002, 2006; Kéry et al. 2006).”