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Main Title A primer of ecology /
Author Gotelli, Nicholas J.,
Publisher Sinauer Associates,
Year Published 2008
OCLC Number 228576677
ISBN 9780878933181; 0878933182
Subjects Population biology--Mathematical models ; Ecology--Mathematical models ; Population Dynamics ; Models, Statistical ; ecosystems ; Ekologi ; Populationsbiologi
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJAM  QH352.G67 2008 Region 3 Library/Philadelphia, PA 10/09/2012 DISPERSAL
EKCM  QH352.G67 2008 CEMM/GEMMD Library/Gulf Breeze,FL 10/27/2022
Edition Fourth edition.
Collation xx, 291 pages : illustrations ; 23 cm
Notes
Includes glossary. Includes bibliographical references (pages 273-282) and index.
Contents Notes
Exponential population growth -- Logistic population growth -- Age-structured population growth -- Metapopulation dynamics -- Competition -- Predation -- Island biogeography -- Succession -- Measuring species diversity. A Primer of Ecology, Fourth Edition, presents a concise but detailed exposition of the most common mathematical models in population and community ecology. It is intended to demystify ecological models and the mathematics behind them by deriving the models from first principles. The book may be used as a self-teaching tutorial by students, as a primary textbook, or as a supplemental text to a general ecology textbook. The Primer explains in detail basic concepts of exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation, island biogeography, succession, and, in a chapter new to this edition, species richness. Each chapter is carefully graded from simple material that is appropriate for beginning undergraduates to advanced material, which is suited for upper-division undergraduates and beginning graduate students. Advanced topics include environmental and demographic stochasticity, discrete population growth and chaos, stage-structured demography, intraguild predation, nonlinear predator-prey isoclines, and passive sampling. Each chapter follows the same structure: model presentation and predictions, model assumptions, model variations, empirical examples, and problems.