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Beschreibung

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.

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.

Über den Autor

Dr. Marc Kéry is a senior scientist at the Swiss Ornithological Institute, a non-profit NGO with about 200 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the universities of Basel and Zürich, Switzerland. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, USA, he moved into animal population ecology and during the last 25 years has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and applied statistics. He has published more than 150 peer-reviewed journal articles and six textbooks on applied statistical modeling. He has taught more than 60 one-week workshops all over the world to biologists and wildlife managers about the concepts and practice of modern statistical analysis in their fields, something which goes together with his books, which target the same audiences.

Inhaltsverzeichnis

Preface

Part 1: Prelude

1. Distribution, abundance and species richness in ecology

2. What are hierarchical models and how do we analyse them ?

3. Linear models, generalized linear models (GLMs), and random-effects: the components of hierarchical models

4. Introduction to data simulation

5. The Bayesian modeling software BUGS and JAGS

Part 2: Models for static systems

6. Modeling abundance using binomial N-mixture models

7. Modeling abundance using multinomial N-mixture models

8. Modeling abundance using hierarchical distance sampling

9. Advanced hierarchical distance sampling

10. Modeling distribution and occurrence using site-occupancy models

11. Community models (incidence- and abundance-based)

Details
Erscheinungsjahr: 2015
Fachbereich: Ökologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780128013786
ISBN-10: 0128013788
Sprache: Englisch
Einband: Gebunden
Autor: Royle, J. Andrew
Kery, Marc
Hersteller: Elsevier Science Publishing Co Inc
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 241 x 189 x 38 mm
Von/Mit: J. Andrew Royle (u. a.)
Erscheinungsdatum: 27.11.2015
Gewicht: 1,734 kg
Artikel-ID: 121003595

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