The influence of group size and social interactions on collision risk with obstacles
Authored by Simon Croft, Richard Budgey, Jonathan W Pitchford, A Jamie Wood
Date Published: 2013
DOI: 10.1016/j.ecocom.2012.06.002
Sponsors:
Department for Environment Food & Rural Affairs (DEFRA)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
In the UK there has been dramatic growth in the number of proposed wind
farms, and the impact on wildlife of this expansion is largely unknown.
Avian collisions with wind turbines have received wide attention but
reliable predictions remain elusive. Existing predictive models consider
behavioural factors such as group movement only implicitly and require
accurate site-specific data to produce predictions, making them
difficult to translate between locations. Here we introduce an
individual-based modelling approach to describe group interactions with
obstacles that incorporates aspects of collective motion to simulate and
quantify likely avoidance behaviour. We quantify the effect of group
size on the probability of an individual colliding with a fixed
obstacle, and investigate the roles of both navigational efficiency and
group cohesion. We show that, over a wide range of model assumptions and
parameterisations, social interactions have a significant and
potentially large effect on collision risk; in contrast to previous
models, collision risk is typically a non-linear function of group size.
These results show that emergent behaviour induced by social
interactions can have important effects on the metrics used to inform
management and policy decisions. (C) 2012 Elsevier B.V. All rights
reserved.
Tags
models
movement
birds
Impact
Navigation
Collective animal behavior
Marine wind farms