Structure and sensitivity analysis of individual-based predator-prey models

Authored by Uta Berger, Andre Gergs, Muhammad Ali Imron

Date Published: 2012

DOI: 10.1016/j.ress.2011.07.005

Sponsors: No sponsors listed

Platforms: SimLab

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

The expensive computational cost of sensitivity analyses has hampered the use of these techniques for analysing individual-based models in ecology. A relatively cheap computational cost, referred to as the Morris method, was chosen to assess the relative effects of all parameters on the model's outputs and to gain insights into predator-prey systems. Structure and results of the sensitivity analysis of the Sumatran tiger model - the Panthera Population Persistence (PPP) and the Notonecta foraging model (NFM) - were compared. Both models are based on a general predation cycle and designed to understand the mechanisms behind the predator-prey interaction being considered. However, the models differ significantly in their complexity and the details of the processes involved. In the sensitivity analysis, parameters that directly contribute to the number of prey items killed were found to be most influential. These were the growth rate of prey and the hunting radius of tigers in the PPP model as well as attack rate parameters and encounter distance of backswimmers in the NFM model. Analysis of distances in both of the models revealed further similarities in the sensitivity of the two individual-based models. The findings highlight the applicability and importance of sensitivity analyses in general, and screening design methods in particular, during early development of ecological individual-based models. Comparison of model structures and sensitivity analyses provides a first step for the derivation of general rules in the design of predator-prey models for both practical conservation and conceptual understanding. (c) 2011 Elsevier Ltd. All rights reserved.

Tags

connectivity Dynamics Landscape selection Strategies Populations System Functional-response Tiger Notonecta