The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and Evolutionary BiologyCambridge University Press, 27. jul. 2006 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. |
Druge izdaje - Prikaži vse
The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and ... Marc Mangel Predogled ni na voljo - 2006 |
The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and ... Marc Mangel Predogled ni na voljo - 2006 |
Pogosti izrazi in povedi
age at maturity analysis assume average basic reproductive rate Bayesian behavior biology boundary conditions Brownian motion called capita growth rate chapter compute conclude Connections constant curve defined denote derivative deterministic deviation differential equation diffusion discussion disease dynamic programming ecology ecosystem egg complement example Exercise exponential extinction fish fishery fluctuations foraging fraction function harvest infected individuals inferior host integral interval isocline likelihood linear log-likelihood logistic Mangel mathematical maximum methods mosquito negative binomial distribution Nicholson-Bailey normally distributed Note o(dt obtain optimal Ornstein-Uhlenbeck process oviposition panel parameters parasites parasitoid phase plane Poisson distribution Poisson process population dynamics predicted probability density punctuated equilibrium random variable ratio reproductive success right hand side side of Eq solve steady stochastic stochastic differential equation stochastic process survival Taylor expand theory tion trajectories understand variance virulence write