Hanna Kokko

Modelling for Field Biologists

And Other Interesting People

• Broschiertes Buch

Produktbeschreibung

Students of evolutionary and behavioural ecology are often unfamiliar with mathematical techniques, though much of biology relies on mathematics. Evolutionary ideas are often complex, meaning that the logic of hypotheses proposed should not only be tested empirically but also mathematically. There are numerous different modelling tools used by ecologists, ranging from population genetic 'bookkeeping', to game theory and individual-based computer simulations. Due to the many different modelling options available, it is often difficult to know where to start. Hanna Kokko has designed this book to help with these decisions. Each method described is illustrated with one or two biologically interesting examples that have been chosen to help overcome fears of many biologists when faced with mathematical work, whilst also providing the programming code (Matlab) for each problem. Aimed primarily at students of evolutionary and behavioural ecology, this book will be of interest to any biologist interested in mathematical modelling.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 244
• Erscheinungstermin: 13. Dezember 2011
• Englisch
• Abmessung: 229mm x 152mm x 15mm
• Gewicht: 402g
• ISBN-13: 9780521538565
• ISBN-10: 0521538564
• Artikelnr.: 22587430

Autorenporträt

Hanna Kokko is a professor in the Department of Biological and Environmental Science at the University of Helsinki.

Inhaltsangabe

Preface; 1. Modelling philosophy
where we get momentarily lost in a forest
but emerge intact; 2. Population genetics
where we find males that treat females quite badly
and some salmon get caught; 3. Quantitative genetics
where we learn to handle a bewildering number of loci
after which a whiff of predators does not scare us at all; 4. Optimization methods
where spiders get quite exhausted
and the author confesses an embarrassing mistake from the distant past; 5. Dynamic optimization
where we travel north
and learn how to survive the winter; 6. Game theory
where we get caught in a traffic jam
and end up wondering where all those trees came from; 7. Self-consistent games and evolutionary invasion analysis where winter is approaching once again
and we wonder if the promise of the coming spring should convince us to stay put; 8. Individual-based simulations
where virtual butterflies try to fly out of our reach
until ruthless exploitation of student labour finally captures them; 9. Concluding remarks
where we ask which chapter you liked most (or disliked least)
and end the book with a most useful quote; Appendix: a quick guide to Matlab.