A simple and fast method for estimating bat roost locations

Henley, Lucy, Finch, Domhnall, Mathews, Fiona, Jones, Owen ORCID: https://orcid.org/0000-0002-7300-5510 and Woolley, Thomas E. ORCID: https://orcid.org/0000-0001-6225-5365 2024. A simple and fast method for estimating bat roost locations. Royal Society Open Science 11 (4) , 231999. 10.1098/rsos.231999

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview

Abstract

Bats play a pivotal role in pest control, pollination, and seed dispersal. Despite their ecological significance, locating bat roosts remains a challenging task for ecologists. Traditional field surveys are time-consuming, expensive, and may disturb sensitive bat populations. In this paper, we combine data from static audio detectors with a bat movement model to facilitate the detection of bat roosts. Crucially, our technique not only provides a point prediction for the most likely location of a bat roost, but, because of the algorithm's speed, it can be applied over an entire landscape, resulting in a likelihood map, which provides optimal searching regions. To illustrate the success of the algorithm and highlight limitations we apply our technique to greater horseshoe bat (Rhinolophus ferrumequinum) acoustic data acquired from six surveys from four different UK locations and over six different times in the year. Further, we investigate what happens to the accuracy of our predictions in the case that the roost is not contained within the area spanned by the detectors. This innovative approach to searching rural environments holds the potential to greatly reduce the labour required for roost finding and, hence, enhance the conservation efforts of bat populations and their habitats.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	The Royal Society
ISSN:	2054-5703
Funders:	EPSRC
Date of First Compliant Deposit:	29 February 2024
Date of Acceptance:	22 February 2024
Last Modified:	24 Apr 2024 09:54
URI:	https://orca.cardiff.ac.uk/id/eprint/166550

Actions (repository staff only)

Edit Item