Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics. (30th September 2020)

• Record Type: Journal Article
• Authors: Fadai, Nabil T.; Johnston, Stuart T.; Simpson, Matthew J.
• Is Part Of: Proceedings. Volume 476:Number 2241(2020)
• Publication Date: 2020-09-30
• Subjects: agent-based model -- population dynamics -- crowding effects; Physical sciences -- Periodicals; Engineering -- Periodicals; Mathematics -- Periodicals; 500
• DOI: 10.1098/rspa.2020.0350
• Languages: English
• ISSNs: 1364-5021

Abstract

Abstract : We present a solid theoretical foundation for interpreting the origin of Allee effects by providing the missing link in understanding how local individual-based mechanisms translate to global population dynamics. Allee effects were originally proposed to describe population dynamics that cannot be explained by exponential and logistic growth models. However, standard methods often calibrate Allee effect models to match observed global population dynamics without providing any mechanistic insight. By introducing a stochastic individual-based model, with proliferation, death and motility rates that depend on local density, we present a modelling framework that translates particular global Allee effects to specific individual-based mechanisms. Using data from ecology and cell biology, we unpack individual-level mechanisms implicit in an Allee effect model and provide simulation tools for others to repeat this analysis.