Shifting focus from the population to the individual as a way forward in understanding, predicting and managing the complexities of evolution of resistance to pesticides
Authored by Michael Renton
Date Published: 2013
DOI: 10.1002/ps.3341
Sponsors:
Australian Government
Cooperative Research Centres (CRC)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
The evolution of resistance to pesticides is often conceptualised and
modelled at a population level, but population-based approaches ignore
important aspects of variability between individuals within populations
that may be essential drivers of resistance. Here it is argued that
individual-based modelling has the potential to generate new insights
and perspectives, thus deepening our understanding of the complexities
of the evolutionary dynamics of resistance to pesticides. Copyright (C)
2012 Society of Chemical Industry
Tags
Competition
Dynamics
systems
transmission
Stochastic simulation-model
Helicoverpa-zea lepidoptera
Bt transgenic
corn
Lesser grain borer
Glyphosate resistance
Rhyzopertha-dominica