A Primer of Ecology with R

Stevens, M. Henry H 
Springer  2009  

Softcover  388 pp  ISBN 9780387898810      £50.00
Ecology is more quantitative and theory-driven than ever before, and A Primer of Ecology with R combines an introduction to the major theoretical concepts in general ecology with a cutting edge open source tool, the R programming language. Starting with geometric growth and proceeding through stability of multispecies interactions and species-abundance distributions, this book demystifies and explains fundamental ideas in population and community ecology. Graduate students in ecology, along with upper division undergraduates and faculty, will find this to be a useful overview of important topics.

In addition to the most basic topics, this book includes construction and analysis of demographic matrix models, metapopulation and source-sink models, host-parasitoid and disease models, multiple basins of attraction, the storage effect, neutral theory, and diversity partitioning. Several sections include examples of confronting models with data. Chapter summaries and problem sets at the end of each chapter provide opportunities to evaluate and enrich one's understanding of the ecological ideas that each chapter introduces.

R is rapidly becoming the lingua franca of quantitative sciences, and this text provides a tractable introduction to using the R programming environment in ecology. An appendix provides a general introduction, and examples of code throughout each chapter give readers the option to hone their growing R skills.

Written for: Students, researchers


Part I Single Species Populations
1 Simple Density-independent Growth
2 Density-independent Demography
3 Density-dependent Growth
4 Populations in Space

Part II Two-species Interactions
5 Interspecies Competition
6 Enemy - Victim Interactions

Part III Special Topics
7 An Introduction to Food Webs
8 Multiple Basins of Attraction
9 Competition, Colonization, and Temporal Niche Partitioning
10 Community Composition and Diversity

A A Brief Introduction to R
B Programming in R

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