Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
10 |
10 |
4 |
2 weeks |
60 hours |
Instructor
Adriano Garcia Chiarello
Objective
1) To provide students with the opportunity to deepen their conceptual and theoretical understanding of the estimation of ecological parameters useful for characterizing and monitoring biodiversity in general and vertebrate population monitoring in particular.
2) To provide students with training in the tools, programs and packages traditionally used in this field of study, including ESTIMATE S, DISTANCE SAMPLING, MARK and PRESENCE, among others, and their alternatives via the R language (packages).
Content
The course has a strong emphasis on tools, but it also recovers paradigms, assumptions, and concepts that are important for planning and execution of projects aimed at biodiversity sampling in general and population monitoring in particular. Techniques and analyses for estimating parameters central to wildlife monitoring and management will be presented, focusing on 1) estimation of biodiversity (species richness estimators, rarefaction curves); 2) estimation of population abundance via sampling in linear transects, via capture-mark-recapture protocols, and 3) estimation of species occupancy and detection probabilities, with examples of different parameterizations of existing models. The course provides basic to intermediate training in software and open access packages traditionally used to estimate these parameters, including ESTIMATE S, DISTANCE SAMPLING, MARK, PRESENCE, and the iNEXT, unmarked, and other R packages.
Bibliography
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Boitani, L. & Fuller, T.K. 2000. Research Techniques in Animal Ecology - Controversies and Consequences. Columbia University Press, New York.
Buckland, S.T. et al. 2001. Introduction to Distance Sampling, Oxford University Press.
Burnham, K. P. & Anderson, D.R. 2010. Model selection and multimodel inference. A practical information-theoretic approach. Second Edition. Springer.
Connell, A.F. et al. 2011. Camera trap in Animal Ecology. Methods and Analysis. Springer.
Gardner, A.L. 2007. Mammals of South America, Volume 1: Marsupials, Xenarthrans and Bats. Chicago University Press, Chicago.
Gibbs, J.P., Hunter Jr, M.J. , Sterling, E.J. 2008. Problem-solving in Conservation Biology and Wildlife Management. 2nd Edition. Blackwell Publishing.
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Kéry, M. & Royle, J.A. 2016. Applied Hierarchical Modeling in Ecology. Analysis of distribution, abundance and species richness in R and BUGS. Volume 1. Prelude and Static Methods. Academic Press.
Krebs, C.J. 1998. Ecological Methodology. 2nd edition. Benjamin/Cummings.
MacKenzie, DI; Nichols, JD; Royle, JA; Pollock, KH; Bailey, LL; Hines, JE. 2006. Occupancy Estimation and Modeling. Inferring Patterns and Dynamics of Species Occurrence. Academic Press, Elsevier, Amsterdam.
Magurran, A.E. & McGill, B.J. 2011. (eds). Biological Diversity: frontiers in measurement and assessment. Oxford University Press.
Magurran, A.E. 2004. Measuring Biological Diversity. Blackwell Publishing ,Oxford.
Powell, L. A., & Gale, G. A. 2015. Estimation of Parameters for Animal Populations: a primer for the rest of us. Caught Napping Publications. https://larkinpowell.wixsite.com/larkinpowell/estimation-of-parameters-for-animal-pop
Rextad, E. & Burnham K. 1992. User´s guide for Interactive Program CAPTURE. Abundance Estimation of Closed Populations. Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins.
Sutherland, W.J. (ed). 2006. Ecological census techniques, a handbook. 2nd edition. Cambridge University Press.
Thompson, WL (editor). 2004. Sampling Rare or Elusive Species. Island Press, Washington.
White, G. & Cooch, E. Program Mark, A Gentle Introduction. Disponível para download no site http://www.phidot.org/software/mark/docs/book/.
Wilson, D. E. et al. 1996. Measuring and Monitoring Biological Diversity - Standard Methods for Mammals. Smithsonian Institution Press, Whashington.