An Introduction to Mathematical Models in Ecology and Evolution (PDF)
Time and Space
(Sprache: Englisch)
Students often find it difficult to grasp fundamental ecological
and evolutionary concepts because of their inherently mathematical
nature. Likewise, the application of ecological and evolutionary
theory often requires a high degree of mathematical...
and evolutionary concepts because of their inherently mathematical
nature. Likewise, the application of ecological and evolutionary
theory often requires a high degree of mathematical...
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Students often find it difficult to grasp fundamental ecological
and evolutionary concepts because of their inherently mathematical
nature. Likewise, the application of ecological and evolutionary
theory often requires a high degree of mathematical competence.
This book is a first step to addressing these difficulties,
providing a broad introduction to the key methods and underlying
concepts of mathematical models in ecology and evolution. The book
is intended to serve the needs of undergraduate and postgraduate
ecology and evolution students who need to access the mathematical
and statistical modelling literature essential to their
subjects.
The book assumes minimal mathematics and statistics knowledge
whilst covering a wide variety of methods, many of which are at the
fore-front of ecological and evolutionary research. The book also
highlights the applications of modelling to practical problems such
as sustainable harvesting and biological control.
Key features:
* Written clearly and succinctly, requiring minimal in-depth
knowledge of mathematics
* Introduces students to the use of computer models in both
fields of ecology and evolutionary biology
* Market - senior undergraduate students and beginning
postgraduates in ecology and evolutionary biology
and evolutionary concepts because of their inherently mathematical
nature. Likewise, the application of ecological and evolutionary
theory often requires a high degree of mathematical competence.
This book is a first step to addressing these difficulties,
providing a broad introduction to the key methods and underlying
concepts of mathematical models in ecology and evolution. The book
is intended to serve the needs of undergraduate and postgraduate
ecology and evolution students who need to access the mathematical
and statistical modelling literature essential to their
subjects.
The book assumes minimal mathematics and statistics knowledge
whilst covering a wide variety of methods, many of which are at the
fore-front of ecological and evolutionary research. The book also
highlights the applications of modelling to practical problems such
as sustainable harvesting and biological control.
Key features:
* Written clearly and succinctly, requiring minimal in-depth
knowledge of mathematics
* Introduces students to the use of computer models in both
fields of ecology and evolutionary biology
* Market - senior undergraduate students and beginning
postgraduates in ecology and evolutionary biology
Inhaltsverzeichnis zu „An Introduction to Mathematical Models in Ecology and Evolution (PDF)“
Preface. 1 Introduction. 2 Simple models of temporal change. 3 Stochastic models. 4 Modelling structured populations. 5 Regulation in temporal models. 6 Modelling interactions. 7 Community models. 8 Spatial models. References. Index
Autoren-Porträt von Mike Gillman
Based at the Open University since 1990, Mike Gillman has contributed to a diverse set of undergraduate and postgraduate courses in biological and environmental science. His research interests are equally broad, spanning population dynamics, community ecology and evolutionary biology. He has a particular interest in the environment and conservation of Neotropical forests
Bibliographische Angaben
- Autor: Mike Gillman
- 2009, 2. Auflage, 168 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1444312073
- ISBN-13: 9781444312072
- Erscheinungsdatum: 08.04.2009
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 3.34 MB
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Sprache:
Englisch
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