Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling. Provides authoritative insights into the latest in occupancy modeling Examines the latest methods in analyzing detection/no detection data surveys Addresses critical issues of imperfect detectability and its effects on species occurrence estimation Discusses important study design considerations such as defining sample units, sample size determination and optimal effort allocation
... Evan Grant, Tabitha Graves, Marc Kéry, Brett McClintock, Leslie New, Allan O'Connell, Krishna Pacifici, Agustín Paviolo, Brian Reich, Robin Russell, Sabrina Servanty, Cat Sun, Yifang Li, Earvin Balderama, and Chris Sutherland.
King, R., Brooks, S. P., and Coulson, T. (2008), “Analyzing complex capture-recapture data in the presence of ... Leibold, M.A., Holyoak, M., Mouquet, N., Amarasekare, P., Chase, J. M., Hoopes, M. F., Holt, R. D., Shurin, J. B., Law, ...
The goal of this important volume is to link management, evaluation, and conservation to modeling, estimation, and decision-making methods. Four major sections review these methods and applications in science-based conservation.
Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade.
Introduction to the essential theories of key models used by ecologists Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS Provides every detail of R and WinBUGS code required to conduct ...
... we ignore this moderate lack of fit here. par(mfrow = c(1, 3), mar = c(5,5,3,2), cex = 1.3, cex.lab = 1.5, cex.axis = 1.5) hist(out5$summary[276:542, 1], xlab = "Pearson residuals", col = "grey", breaks = 50, main = "", freq = F, ...
Manly B., L. McDonald, and D. Thomas. 1993. Resource Selection by Animals: Statistical Design and Analysis for Field Studies. Chapman & Hall, London, UK. Marques, F.F. and S.T. Buckland. 2004. Covariate models for the detection function ...
This estimator was originally developed by Darroch (1958). A special case for two occasions is the Lincoln-Petersen estimator. Model M, Assumptions of Model M, are that each animal has an identical initial capture probability on all ...
This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Island Press, Washington, DC Thompson WL, White GC, Gowan C (1998) Monitoring vertebrate populations. Academic Press, San Diego Walston J, Robinson JG, Bennett EL, Breitenmoser U, da Fonseca GAB et al (2010) Bringing the tiger back from ...