A HIERARCHICAL SPATIAL MODEL OF AVIAN ABUNDANCE WITH APPLICATION TO CERULEAN WARBLERS

By Wayne E. Thogmartin, John R. Sauer, M. Knutson. 2004

155 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/d3e34290383042de15966a3a6bf63aea861757ef

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Citations in the corpus

The roles of landscape context, niche breadth, and range boundaries in predicting species responses to habitat alteration (2006, methodology): “Sorting out the role of stochastic events relative to deterministic factors in patterns of landscape occupancy will require improved specification of species-based models (MacKenzie et al., 2003, 2006; Thogmartin et al., 2004; Moore & Swihart, 2005).”
The North American Breeding Bird Survey 1966–2011: Summary Analysis and Species Accounts (2013, methodology): “We note that more sophisticated methods of spatial mapping are available (e.g., Thogmartin et al. 2004).”
Thresholds and Time Lags in Effects of Energy Development on Greater Sage-Grouse Populations (2010, background): “Given computation issues described above, we suggest that future random-effects analyses consider a hierarchical Bayesian modeling approach, which may resolve missing data issues and provide some important insight into random effects (Thogmartin et al. 2004).”
WinBUGS for population ecologists: bayesian modeling using markov chain Monte Carlo methods (2009, methodology): “2006), observer effects (Thogmartin et al. 2004), detecting trends (Link and Sauer 2002) and missing data (Lens et al.”
The application of predictive modelling of species distribution to biodiversity conservation (2007, methodology): “Recent attempts of using this kind of data have offered promising results as mapping tools (Carrascal et al ., 2006; Brotons et al ., 2007), including the incorporation of sampling biases via modern Bayesian estimation techniques (Thogmartin et al ., 2004, 2006).”
Updating bird species distribution at large spatial scales: applications of habitat modelling to data from long‐term monitoring programs (2007, background): “With the exception of few pilot methodological studies (Pearce & Ferrier, 2001; Thogmartin et al ., 2004, 2006), habitat modelling has not been widely applied to LTM data.”