Author
Listed:
- Augustin, Julie
- Brodeur, Jacques
- Boivin, Guy
- Bourgeois, Gaétan
Abstract
The impact of temperature on the physiology of insects has been extensively studied. Conversely, we know much less about the impact on insect behaviour. In the context of climate change, we urgently need to better understand the effect of temperature on animal behaviour, and to include these effects in predictive population models. To evaluate the importance of such inclusions, we created two temperature-based population dynamics simulation models of parasitoid’s life cycle. The first one is based on development, mortality and oviposition rate data, while the second model includes those plus behavioural components: mating, host searching and host exploitation. Including behaviours in the population dynamics model resulted in slightly lower predicted populations, but the change was small, suggesting that including behaviours did not increase the prediction efficiency. This is expected in temperature conditions under which the species has evolved, because individuals can behave optimally. Behaviours and development traits all had different thermal performance curves, with optimal temperature and tolerance range varying. Therefore, while the inclusion of behaviours did not change much the dynamics of simulated populations at intermediate temperature conditions, this would no longer hold true when temperatures become more extreme. In the context of climate change, extreme temperatures are expected to occur more frequently, thus strongly affecting insect behavioural performance, and likely resulting in changes in population dynamics. Consequently, behavioural components should be considered when studying more extreme conditions, because physiological components alone overlook certain effects of temperature on the life cycle of an individual.
Suggested Citation
Augustin, Julie & Brodeur, Jacques & Boivin, Guy & Bourgeois, Gaétan, 2025.
"Individual behaviour and temperature: simulation of an insect parasitoid population,"
Ecological Modelling, Elsevier, vol. 510(C).
Handle:
RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025002959
DOI: 10.1016/j.ecolmodel.2025.111309
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025002959. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.