Reprint

Progress in Mathematical Ecology

Edited by
October 2018
214 pages
  • ISBN978-3-03897-312-6 (Paperback)
  • ISBN978-3-03897-313-3 (PDF)

This book is a reprint of the Special Issue Progress in Mathematical Ecology that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

Mathematical ecology is an area of applied mathematics concerned with the application of mathematical concepts, tools and techniques, usually in the form of mathematical models, to problems arising in population dynamics, ecology and evolution. This Special Issue is designed to provide a snapshot of the state of the art in mathematical ecology. Topics of interest are (in no particular order) biological invasions, biological control, ecological pattern formation, ecologically relevant multiscale models, food webs, individual movement and dispersal, eco-epidemiology, evolutionary ecology, agroecosystems, regime shifts and early warning signals, synchronization and chaos. The list is inclusive rather than exclusive, and a few other relevant topics will also be considered.

Format
  • Paperback
License
© 2019 by the authors; CC BY license
Keywords
Klausmeier model; pattern formation; self-organization; reaction–diffusion–advection model; environmental noise; ecosystem engineering; colonization wavefront; cliodynamics; coupled map lattice; food web; dispersal; bifurcation; chaos; stability; prey-predator; nonlocal consumption; Turing bifurcation; spatial Hopf bifurcation; spatio-temporal pattern; animal movement; fragmented environment; critical size; extinction; mathematical model; immune response; autoimmunity; time delays; diffusion; random walks; Brownian motion; Lévy walks; stable laws; individual movement; trap counts; pest monitoring; Markov chain; multiple coalescence; transition probability; Wright-Fisher model; competition; dynamical systems; invasive species; squirrel poxvirus (SQPV); transmissible diseases; diversity; richness; evenness; effective numbers; estimators; mathematical ecology; n/a