📗 Libro en inglés JOINT SPECIES DISTRIBUTION MODELLING

NEREA ABREGO

CAMBRIDGE UNIVERSITY PRESS - 9781108716789

Ecología. Medio ambiente

Sinopsis de JOINT SPECIES DISTRIBUTION MODELLING

Joint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, Joint Species Distribution Modelling provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data.ContentsPart I. Introduction to Community Ecology: Theory and Methods1. Historical Development of Community Ecology2. Typical Data Collected by Community Ecologists3. Typical Statistical Methods Applied by Community Ecologists4. An Overview of the Structure and Use of HMSCPart II. Building a Joint Species Distribution Model Step by Step5. Single-species Distribution Modelling6. Joint Species Distribution Modelling: Variation in Species Niches7. Joint Species Distribution Modelling: Biotic Interactions8. Bayesian Inference in HMSC9. Evaluating Model Fit and Selecting Among Multiple ModelsPart III. Applications and Perspectives10. Linking HMSC Back to Community Assembly Processes11. Illustration of HMSC Analyses: Case Study of Finnish Birds12. Conclusions and Future DirectionsEpilogueIndexReferences

Ficha técnica


Editorial: Cambridge University Press

ISBN: 9781108716789

Idioma: Inglés

Número de páginas: 388

Encuadernación: Tapa blanda

Fecha de lanzamiento: 11/06/2020

Año de edición: 2020


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