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Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/73530

Type: Journal article
Title: Stochastic formulation of ecological models and their applications
Author: Black, A.
McKane, A.
Citation: Trends in Ecology & Evolution, 2012; 27(6):337-345
Publisher: Elsevier Science London
Issue Date: 2012
ISSN: 0169-5347
1872-8383
Statement of
Responsibility: 
Andrew J. Black and Alan J. McKane
Abstract: The increasing use of computer simulation by theoretical ecologists started a move away from models formulated at the population level towards individual-based models. However, many of the models studied at the individual level are not analysed mathematically and remain defined in terms of a computer algorithm. This is not surprising, given that they are intrinsically stochastic and require tools and techniques for their study that may be unfamiliar to ecologists. Here, we argue that the construction of ecological models at the individual level and their subsequent analysis is, in many cases, straightforward and leads to important insights. We discuss recent work that highlights the importance of stochastic effects for parameter ranges and systems where it was previously thought that such effects would be negligible.
Keywords: Animals; Humans; Stochastic Processes; Ecology; Algorithms; Models, Theoretical; Computer Simulation; Epidemics
Rights: © 2012 Elsevier Ltd. All rights reserved.
RMID: 0020119430
DOI: 10.1016/j.tree.2012.01.014
Appears in Collections:Mathematical Sciences publications
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