Modeling Abundance Index Data from Anuran Calling Surveys

By J. Andrew Royle. 2004

105 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/986e2f1912726e146d813d5b31c1951a599dd799

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Citations in the corpus

The amphibian decline crisis: A watershed for conservation biology? (2005, background): “This approach has been developed by Royle (2004) to allow for varying abundance levels (not just presence or absence) when recording anuran calls.”
Modelling occurrence and abundance of species when detection is imperfect (2005, methodology): “Royle (2004a) ela- borated on an extension of this approach to modeling abundance from counts that are assumed to have a binomial sampling distribution.”
Generalized estimators of avian abundance from count survey data (2004, methodology): “Data considered here are a subset of those analyzed by Royle (2004a) consisting of replicated point counts at 50 stops along a North American Breeding Bird Survey route.”
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.”
A review of citizen science and community-based environmental monitoring: issues and opportunities (2011, background): “Many researchers are not confident the level of training volunteers receive is adequate to prevent both false positive and false negative data (especially in the case of biological identification) (Royle 2004).”
When can we ignore the problem of imperfect detection in comparative studies? (2012, methodology): “We therefore suggest extending simulations to these recent approaches, including patch occupancy (MacKenzie et al. 2002; MacKenzie & Royle 2005), finite-mixture models (Pledger 2000, 2005) and N-mixture models (Royle 2004b).”
Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly (2005, background): “ Royle (2004a) extended the presence/absence site occupancy models in a way that allows modelling of population size classes (such as absent, small, medium, large).”
Making Great Leaps Forward: Accounting for Detectability in Herpetological Field Studies (2007, methodology): “The aim of call index models is to estimate the latent abundance index (Royle, 2004a; Royle and Link, 2005).”
Advances and applications of occupancy models (2014, methodology): “…probabilities (e.g.MacKenzie et al. 2006; Royle 2006), including abundance-induced heterogeneity in detection probability (Royle&Nichols 2003;Royle 2004;Royle & Dorazio 2008), dealing with lack of independence among repeated detection surveys at a sampling unit (Nichols et al. 2008;Hines et…”