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Academic Press; Elsevier
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Amsterdam
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Applied hierarchical modeling in ecology: analysis of distribution, abundance and species richness in R and BUGS: vol. 1: prelude and static models / Marc Kéry (2016)
Titre : Applied hierarchical modeling in ecology: analysis of distribution, abundance and species richness in R and BUGS: vol. 1: prelude and static models Type de document : livre Auteurs : Marc Kéry, Auteur ; Royle, J.Andrew, Auteur Editeur : Amsterdam : Academic Press; Elsevier Année de publication : 2016 Importance : 783 p. ISBN/ISSN/EAN : 978-0-12-801378-6 Prix : 89.95 USD Note générale : Additional online content at 'https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/' Langues : Anglais (eng) Mots-clés : WinBUGS Ecology Mathematical models Biogeography Biodiversity R (Computer program language) Statistical methods Résumé : Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management.
This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields.En ligne : https://www.sciencedirect.com/book/9780128013786/applied-hierarchical-modeling-i [...] Applied hierarchical modeling in ecology: analysis of distribution, abundance and species richness in R and BUGS: vol. 1: prelude and static models [livre] / Marc Kéry, Auteur ; Royle, J.Andrew, Auteur . - Amsterdam : Academic Press; Elsevier, 2016 . - 783 p.
ISBN : 978-0-12-801378-6 : 89.95 USD
Additional online content at 'https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/'
Langues : Anglais (eng)
Mots-clés : WinBUGS Ecology Mathematical models Biogeography Biodiversity R (Computer program language) Statistical methods Résumé : Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management.
This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields.En ligne : https://www.sciencedirect.com/book/9780128013786/applied-hierarchical-modeling-i [...] Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 69533 KER_11_69533 Livre Salle des ouvrages 11_Mathématiques Disponible Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities / Royle, J.Andrew (2008)
Titre : Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities Type de document : livre Auteurs : Royle, J.Andrew, Auteur ; Dorazio, Robert M., Auteur Mention d'édition : 1st ed. Editeur : Amsterdam : Academic Press; Elsevier Année de publication : 2008 Importance : 444 p. + fig. coul. h.t. ISBN/ISSN/EAN : 978-0-12-374097-7 Langues : Anglais (eng) Mots-clés : Computer simulation Mathematical models Spatial ecology Résumé : A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities [livre] / Royle, J.Andrew, Auteur ; Dorazio, Robert M., Auteur . - 1st ed. . - Amsterdam : Academic Press; Elsevier, 2008 . - 444 p. + fig. coul. h.t.
ISBN : 978-0-12-374097-7
Langues : Anglais (eng)
Mots-clés : Computer simulation Mathematical models Spatial ecology Résumé : A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 68426 ROY_11_68426 Livre Salle des ouvrages 11_Mathématiques Disponible
Titre : Microbial ecology: an evolutionary approach Type de document : livre Auteurs : McArthur, J. Vaun Editeur : Amsterdam : Academic Press; Elsevier Année de publication : 2006 Importance : 416 p. ISBN/ISSN/EAN : 978-0-12-369491-1 Langues : Anglais (eng) Mots-clés : Evolution Microbial ecology Microbiology Surface chemistry Résumé : The role of evolution in the patterns and observed processes in microbial ecology has long been neglected in available texts, yet the interface between evolution and ecology has been fruitful in explaining many macrobiological phenomena and should also help explain patterns in the microbiological world. Microbial Ecology provides a unique and exciting interface for the training of microbial ecologists, environmental microbiologists and ecologists in general. Applies evolutionary ecological concepts to microbes; Addresses individual, population and community ecology; Presents species concepts and offers insights on the origin of life and modern microbial ecology; Examines topics such as species interactions, nutrient cycling, quorum sensing and cheating [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip062/2005030991.html Microbial ecology: an evolutionary approach [livre] / McArthur, J. Vaun . - Amsterdam : Academic Press; Elsevier, 2006 . - 416 p.
ISBN : 978-0-12-369491-1
Langues : Anglais (eng)
Mots-clés : Evolution Microbial ecology Microbiology Surface chemistry Résumé : The role of evolution in the patterns and observed processes in microbial ecology has long been neglected in available texts, yet the interface between evolution and ecology has been fruitful in explaining many macrobiological phenomena and should also help explain patterns in the microbiological world. Microbial Ecology provides a unique and exciting interface for the training of microbial ecologists, environmental microbiologists and ecologists in general. Applies evolutionary ecological concepts to microbes; Addresses individual, population and community ecology; Presents species concepts and offers insights on the origin of life and modern microbial ecology; Examines topics such as species interactions, nutrient cycling, quorum sensing and cheating [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip062/2005030991.html Exemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 67614 McA_15_67614 Livre Salle des ouvrages 15_Ecologie_générale Disponible 68455 McA_15_68455 Livre Salle des ouvrages 15_Ecologie_générale Sorti jusqu'au 25/05/2043