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Mathematical Models in Biology

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TLDR
The theory of linear difference equations applied to population growth and the applications of nonlinear difference equations to population biology are explained.
Abstract
Part I. Discrete Process in Biology: 1. The theory of linear difference equations applied to population growth 2. Nonlinear difference equations 3. Applications of nonlinear difference equations to population biology Part II. Continuous Processes and Ordinary Differential Equations: 4. An introduction to continuous models 5. Phase-plane methods and qualitative solutions 6. Applications of continuous models to population dynamics 7. Models for molecular events 8. Limit cycles, oscillations, and excitable systems Part III. Spatially Distributed Systems and Partial Differential Equation Models: 9. An introduction to partial differential equations and diffusion in biological settings 10. Partial differential equation models in biology 11. Models for development and pattern formation in biological systems Selected answers Author index Subject index.

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Multiple time scales in consumer-resource interactions

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Hydra effects in discrete-time models of stable communities

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Resilience in a two-population system: interactions between Allee effects and connectivity

TL;DR: The result is a mathematical model that justifies the assumption that resilience can be averaged across connected populations and suggests several management strategies to either avoid or induce regime shift cascades.
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An alternative approach to Michaelis-Menten kinetics that is based on the Renormalization Group.

TL;DR: In this paper, an alternative approach to the study of Singularly Perturbed Differential Equations, based on the Renormalization Group (SPDERG), is presented.
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Mathematical models in biology?

The paper discusses mathematical models in biology, including linear and nonlinear difference equations, continuous models, and partial differential equation models.