Individual variation in stage duration in matrix population models: Problems and solutions

Authored by Toshinori Okuyama, Chih-Chung Lee

Date Published: 2017

DOI: 10.1016/j.biocontrol.2017.04.011

Sponsors: Ministry of Science and Technology of Taiwan

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

Matrix population models are widely used to describe the growth of stage-structured populations. The variability in stage duration among individuals is one of the important parameters affecting population growth. Despite that importance, studies frequently focus only on the average duration and (perhaps unknowingly) make specific assumptions regarding the variation in stage duration that likely contradicts with the data. Furthermore, although there are methods for modeling variable stage duration, they are not sufficiently flexible to encompass the diversity of potential distributions. This study discusses problems associated with the existing methods and describes approaches to deal with the problems.

Tags

individual-based models Dynamics Stage-structured models Oviposition Temperature Consequences Monte-carlo Reproduction New-zealand Growth rate Intraspecific variation Maturation rate Argentifolii homoptera aleyrodidae Carduus-nutans