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Diebenkorn, Richard

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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. M. Henry H. Stevens is an associate professor in the Department of Botany and the Ecology graduate program at Miami University in Oxford, Ohio, USA. He is the author or coauthor of the R packages "primer" and "vegan". "The distinctive strength of this book is that truths are mostly not revealed but discovered, in the way that R-savvy ecologists—empirical and theoretical—work and think now. For readers still chained to spreadsheets, working through this book could be a revolution in their approach to doing science." (Stephen P. Ellner, Cornell University) "One of the greatest strengths…is the integration of ecological theory with examples ... pulled straight from the literature." (James R. Vonesh, Virginia Commonwealth University).

Ecology -- Data processing -- Handbooks, manuals, etc. --- Electronic books. -- local. --- R (Computer program language) -- Handbooks, manuals, etc. --- Ecology --- R (Computer program language) --- Earth & Environmental Sciences --- Computer simulation --- Philosophy --- Data processing --- GNU-S (Computer program language) --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Ecology. --- Statistics. --- Computer simulation. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Monitoring/Environmental Analysis. --- Simulation and Modeling. --- Domain-specific programming languages --- Environmental sciences --- Population biology --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Philosophy. --- Ecology . --- Statistics . --- Environmental monitoring. --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Measurement --- Monitoring --- R (Computer program language).

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