Joint Species Distribution Modelling is for graduate students and researchers interested in analysing data on community ecology and placing their results in the context of modern ecological theory. With the help of example R-scripts, readers will learn how to conduct and interpret statistical analyses.
Joint Species Distribution Modelling is for graduate students and researchers interested in analysing data on community ecology and placing their results in the context of modern ecological theory. With the help of example R-scripts, readers will learn how to conduct and interpret statistical analyses.
Otso Ovaskainen is Professor of Mathematical Ecology at the University of Helsinki, Finland. He has published 170 papers in mathematical, statistical and empirical ecology, with a particular focus on metapopulation ecology, movement ecology, population genetics, molecular species identification and community ecology.
Inhaltsangabe
Part I. Introduction to Community Ecology: Theory and Methods: 1. Historical development of community ecology 2. Typical data collected by community ecologists 3. Typical statistical methods applied by community ecologists 4. An overview of the structure and use of HMSC Part II. Building a Joint Species Distribution Model Step by Step: 5. Single-species distribution modelling 6. Joint species distribution modelling: variation in species niches 7. Joint species distribution modelling: biotic interactions 8. Bayesian inference in HMSC 9. Evaluating model fit and selecting among multiple models Part III. Applications and Perspectives: 10. Linking HMSC back to community assembly processes 11. Illustration of HMSC analyses: case study of Finnish birds 12. Conclusions and future directions Epilogue Index References.
Part I. Introduction to Community Ecology: Theory and Methods: 1. Historical development of community ecology 2. Typical data collected by community ecologists 3. Typical statistical methods applied by community ecologists 4. An overview of the structure and use of HMSC Part II. Building a Joint Species Distribution Model Step by Step: 5. Single-species distribution modelling 6. Joint species distribution modelling: variation in species niches 7. Joint species distribution modelling: biotic interactions 8. Bayesian inference in HMSC 9. Evaluating model fit and selecting among multiple models Part III. Applications and Perspectives: 10. Linking HMSC back to community assembly processes 11. Illustration of HMSC analyses: case study of Finnish birds 12. Conclusions and future directions Epilogue Index References.
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