The theoretical biologist's toolbox quantitative methods for ecology and evolutionary biology Marc Mangel.
Detalles de publicación: Cambridge New York Cambridge University Press 2006.Descripción: xiv, 375 p. ill. 25 cmISBN:- 9780521830454 (hbk.)
- 0521830451 (hbk.)
- 9780521537483 (pbk.)
- 0521537487 (pbk.)
- 577.015118 M2773t 22
- QH541.15.M3 M28 2006
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca Encarnación Valdés Colección General bev | 577.015118 M2773t (Navegar estantería(Abre debajo)) | Disponible | 80000002505397 |
Descripciones mejoradas de Syndetics:
Mathematical modelling is widely used in ecology and evolutionary biology and it is a topic that many biologists find difficult to grasp. In this new textbook Marc Mangel provides a no-nonsense introduction to the skills needed to understand the principles of theoretical and mathematical biology. Fundamental theories and applications are introduced using numerous examples from current biological research, complete with illustrations to highlight key points. Exercises are also included throughout the text to show how theory can be applied and to test knowledge gained so far. Suitable for advanced undergraduate courses in theoretical and mathematical biology, this book forms an essential resource for anyone wanting to gain an understanding of theoretical ecology and evolution.
Includes bibliographical references and index.
Tabla de contenidos provista por Syndetics
- Preface
- 1 Four examples and a metaphor
- 2 Topics from ordinary and partial differential equations
- 3 Probability and some statistics
- 4 The evolutionary ecology of parasitoids
- 5 The population biology of disease
- 6 An introduction to some of the problems of sustainable fisheries
- 7 The basics of stochastic population dynamics
- 8 Applications of stochastic population dynamics to ecology, evolution and biodemography