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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

Volume 2: Dynamic and Advanced Models

  • 1st Edition - October 9, 2020
  • Latest edition
  • Authors: Marc Kéry, J. Andrew Royle
  • Language: English

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthe… Read more

Description

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.

Key features

  • Makes ecological modeling accessible to people who are struggling to use complex or advanced modeling programs
  • Synthesizes current ecological models and explains how they are inter-connected
  • Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data
  • Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses

Readership

Graduate students and professionals in ecology, biogeography, conservation biology, fisheries and wildlife management

Table of contents

PART 1 MODELS FOR DYNAMIC SYSTEMS1. Relative Abundance Models for Population Dynamics2. Modeling Population Dynamics With Count Data3. Hierarchical Models of Survival4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models5. Modeling Metacommunity Dynamics Using Dynamic Community Models

PART 2 ADVANCED MODELS6. Multi-state Occupancy Models7. Modeling False Positives8. Modeling Interactions Among Species9. Spatial Models of Distribution and Abundance10. Integrated Models for Multiple Types of Data11. Spatially Explicit Distance Sampling Along Transects12. Conclusions

Review quotes

"In terms of content, there is little more one could ask for. But even the detailed and careful analyses presented in each chapter cannot fully cover steps that would normally accompany statistical analyses: model diagnostics, quantification of uncertainty, particularly of model predictions, comparison with alternative model structures and so forth. The authors touch on these issues in the first volume, and are clearly aware of them, but it would be impossible and not really informative to add such common procedures to each and every single chapter. Overall this book is a must-have for any statistical ecologist who is working with data in the fields of conservation ecology or wildlife ecology, terrestrial or aquatic. It is not a book for casual reading, and experience with statistical analysis and R in particular are warranted."—Basic and Applied Ecology

Product details

  • Edition: 1
  • Latest edition
  • Published: October 19, 2020
  • Language: English

About the authors

MK

Marc Kéry

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.

Affiliations and expertise
Swiss Ornithological Institute, Sempach, Switzerland

JR

J. Andrew Royle

Dr Royle is a Senior Scientist and Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.
Affiliations and expertise
Research Statistician, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA

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