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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS - 1st Edition - ISBN: 9780128095850, 9780128097274

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

1st Edition

Volume 2: Dynamic and Advanced Models

Authors: Marc Kery J. Royle
Hardcover ISBN: 9780128237687
eBook ISBN: 9780128097274
Imprint: Academic Press
Published Date: 9th October 2020
Page Count: 820
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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 SYSTEMS
1. Relative Abundance Models for Population Dynamics
2. Modeling Population Dynamics With Count Data
3. Hierarchical Models of Survival
4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models
5. Modeling Metacommunity Dynamics Using Dynamic Community Models

PART 2 ADVANCED MODELS
6. Multi-state Occupancy Models
7. Modeling False Positives
8. Modeling Interactions Among Species
9. Spatial Models of Distribution and Abundance
10. Integrated Models for Multiple Types of Data
11. Spatially Explicit Distance Sampling Along Transects
12. Conclusions

Details

No. of pages:
820
Language:
English
Copyright:
© Academic Press 2020
Published:
9th October 2020
Imprint:
Academic Press
Hardcover ISBN:
9780128237687
eBook ISBN:
9780128097274

About the Authors

Marc Kery

Marc Kery

Marc Kéry is a population ecologist with the Swiss Ornithological Institute and a courtesy professor at the University of Zürich. He is an expert in the estimation and modeling of abundance, distribution and species richness in animal and plant populations and has coauthored approximately 100 peer-reviewed articles and four books.

Affiliations and Expertise

Population Ecologist, Swiss Ornithological Institute, Switzerland

J. Royle

J. 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

Reviews

"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

Ratings and Reviews