Kery / K‚ry / Royle Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

Volume 1:Prelude and Static Models
1. Auflage 2015
ISBN: 978-0-12-801486-8
Verlag: Academic Press
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 808 Seiten, Format (B × H): 191 mm x 235 mm

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. - Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection - Presents models and methods for identifying unmarked individuals and species - Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses - Includes companion website containing data sets, code, solutions to exercises, and further information

Dr. Marc works as a senior scientist at the Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland. This is a non-profit NGO with about 160 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the Swiss Universities of Basel and Zuerich. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, MD. During the last 20 years he has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and statistics. He has published more than 100 peer-reviewed journal articles and five textbooks on applied statistical modeling. He has also been very active in teaching fellow biologists and wildlife managers the concepts and tools of modern statistical analysis in their fields in workshops all over the world, something which goes together with his books, which target the same audiences.

Autoren/Hrsg.

Kery, Marc

Kéry, Marc

Royle, J. Andrew

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Biogeographie
• Geowissenschaften Umweltwissenschaften Angewandte Ökologie
• Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
• Naturwissenschaften Biowissenschaften Biowissenschaften Naturschutzbiologie, Biodiversität

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)

12. Spatial models I (CAR, spatial exponential)