The effect of logging on fission-fusion behaviour of tree-dwelling bats explored by an agent-based model

• Published in: Ecological informatics 2022-12, Vol.72, p.101884, Article 101884
• Main Authors: Kaňuch, Peter, Kasanický, Tomáš, Ružinská, Romana, Zelenka, Ján
• Format: Article
• Language: English
• Subjects: Bats; Computer simulations; Forest management; Silviculture; Social behaviour; Tree hollows
• ISSN: 1574-9541
• DOI: 10.1016/j.ecoinf.2022.101884

Logging is one of the greatest threats to global biodiversity, while forests are one of the most important habitats for bats. Bats that roost in tree cavities require a large number of potential roosts due to their frequent roost switching. However, the density of tree cavities and hollows sufficient to sustain large populations of bat species in forests is unknown. The fission-fusion dynamics of bat groups in forest environment is associated with ritualised dawn swarming behaviour at potential tree cavities that serves to exchange information in a non-centralised decision-making process. We used a computer model based on the swarm algorithm, SkyBat, that resembles this complex process and aimed to determine how population size changes over time when cavity trees are removed from roosting territory of the local population of Leisler's bats (Nyctalus leisleri), which inhabit a forest habitat in Central Europe. Simulations revealed that social bonds between bats, maintained by frequent switching among groups, play an important role in this highly dynamic system. When strong social contact was not considered, reducing the original number of trees with cavities (20 cavities × ha−1) to 50% was still acceptable to bats, but further interventions and/or increased demand for social contact would have led to local extinction of the species. Results suggest that potential bat roosts in mature forest stands should be preserved as much as possible and that non-intensive logging and management can be beneficial to tree-dwelling bats. •Introducing an agent-based model to predict fission-fusion population dynamics.•Social bonds determine population response to reduced density of roosts.•This method can protect threatened and endangered bat species.