Assessing the fit of site-occupancy models

By D. MacKenzie, L. Bailey. 2004

858 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1dd384113ef08bd06063bbc1a9c8b8fe8d7106cf

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, methodology): “There is limited research into goodness-of-fit methods within the context of occupancy-detection and related models (but see MacKenzie and Bailey 2004, Kéry and Royle 2016 section 10.8), and currently no clear guidelines for testing different aspects of the models.”
Predicting carnivore occurrence with noninvasive surveys and occupancy modeling (2011, methodology): “We used likelihood-based occupancy modeling (MacKenzie et al. 2002; MacKenzie and Bailey 2004; MacKenzie et al. 2006) to estimate both site occurrence (w; probability that the species occurred at a site) and detectability (p; probability that the species was detected if present) from our detection”
Effects of structural complexity enhancement on eastern red-backed salamander (Plethodon cinereus) populations in northern hardwood forests (2006, methodology): “We used a parametric bootstrap procedure within R (nlm function) to assess the adequacy of fit of our AICc best model (MacKenzie and Bailey, 2004; Kery et al., 2005).”
Error and uncertainty in habitat models (2006, background): “MacKenzie & Bailey (2004) present relevant tests of model fit for imperfectly detected species.”
Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly (2005, neutral): “This model may be a valuable addition to, but should not replace, the goodness-of-fit tests that were recently proposed ( MacKenzie and Bailey, 2004 ).”
Predation by small mammalian carnivores in rural agro-ecosystems: An undervalued ecosystem service? (2017, methodology): “As such the occupancy parameter (w) should be considered to represent the proportion of area used rather than the proportion of area occupied (MacKenzie and Bailey, 2004).”
Predicting species distributions from checklist data using site‐occupancy models (2010, methodology): “We used the parametric bootstrap procedure of MacKenzie & Bailey (2004) for assessing the goodness-of-fit of our best model.”
Effectiveness of Scat Detection Dogs for Detecting Forest Carnivores (2007, methodology): “We evaluated model fit by comparing the observed Pearson chi-square statistic from the most general model with chi-square statistics from 10,000 simulated parametric bootstrap datasets to assess whether the observed statistic was unusually large (MacKenzie and Bailey 2004).”
IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY (2005, background): “Finally, we note that recent work on singleseason occupancy modeling includes development of a goodness-of-fit test for the above model (MacKenzie and Bailey 2004) and an approach for modeling and estimating possible dependencies in occupancy patterns (and detection probabilities) of multiple…”
Generalized site occupancy models allowing for false positive and false negative errors. (2006, background): “…methodological extensions have been developed (e.g., Royle and Nichols 2003, MacKenzie et al. 2003, 2005, Tyre et al. 2003, Gu and Swihart 2004, MacKenzie and Bailey 2004, Royle 2004a, b), the site occupancy framework is becoming widely adopted in survey and monitoring activities in many settings.”
Domestic dogs shape the landscape-scale distribution of a threatened forest ungulate (2012, methodology): “We evaluated goodness of fit on the most general model by calculating a Pearson chi-square statistic and implementing a parametric bootstrapping to determine if the statistic was significantly large (MacKenzie and Bailey, 2004).”
Estimating Site Occupancy and Detection Probability Parameters for Meso- And Large Mammals in a Coastal Ecosystem (2006, background): “…this analysis does not directly assess the effects of a possible lack of independence on precision (i.e., the precision of the resulting estimates could be overstated), it does address the issue of influence on model selection due to inflated effective sample size (MacKenzie and Bailey 2004).”