Competition Theory in Ecology

This novel textbook addresses the shortcomings of current competition theory and suggests a more useful approach that can provide a basis for future models that have far greater predictive ability in both ecology and evolution.

Table des matières

• 1: Introduction: competition theory past and present


• 2: Defining and describing competition


• 3: Measuring and describing competition: a consumer-resource framework


• 4: Competition theory: the current state


• 5: Understanding intraspecific and apparent competition


• 6: The negativity, constancy, and continuity of competitive effects


• 7: Resource use and the strength of interspecific competition


• 8: Competition in seasonal environments: temporal overlap


• 9: Relative nonlinearity and seasonality


• 10: Consumers and resources in space


• 11: Evolution of competitors and its ecological consequences


• 12: Overview

A propos de l'auteur

Peter A. Abrams is Professor Emeritus, Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada. He is recognized as a Highly Cited Researcher by ISI® and was elected Fellow of the Royal Society of Canada in 2005. His research interests include community ecology, biogeography, aquatic ecology, biodiversity, and species interactions. He is widely regarded as one of the leading theoretical ecologists of his generation.

Résumé

This novel textbook addresses the shortcomings of current competition theory and suggests a more useful approach that can provide a basis for future models that have far greater predictive ability in both ecology and evolution.

Texte suppl.

This book offers readers a compelling introduction to these complexities.

Détails du produit

• Auteurs: Abrams , Peter A. Abrams, Peter A. (Professor Emeritus Abrams
• Edition: Oxford University Press
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 30.09.2022
• EAN: 9780192895523
• ISBN: 978-0-19-289552-3
• Pages: 336
• Thème: Oxford Series in Ecology and Evolution
• Catégories: Sciences naturelles, médecine, informatique, technique > Physique, astronomie > Astronomie; SCIENCE / Life Sciences / Biological Diversity, SCIENCE / Life Sciences / Ecology, MATHEMATICS / Applied, Biodiversity, Ecological science, the Biosphere, Mathematical modelling, Biodiversity / Ecosystems