Modelling connectivity at a regional scale during seasonal movements of the greater horseshoe bat

Connectivity modelling is a powerful tool for strengthening the link between landscape and species conservation. This approach often relies on expert knowledge of connectivity indicators or limited, small numbers and small-scale monitoring data, for example during animal foraging activities. However, integrating larger-scale movement data, including dispersal or seasonal movements, is crucial to making conservation relevant by covering the entire life cycle of species. Using Resource Selection Function, the movement patterns of greater horseshoe bats (GHB) studied on a local scale were transposed to a regional scale to model the connectivity in western France. GHB is highly sensitive to loss of connectivity and makes seasonal regional migrations. How the local landscape heterogeneity influenced the conductance parameters estimation for modelling was examined using gap-crossing method at four different sites with variable landscape composition. The inferred parameters were used to create..., Empirical estimation of local-scale RSF in different landscapes
Study sites
To calculate conductance, RSF was estimated using the gap-crossing approach, i.e., the probability of crossing a gap in a given hedgerow as a function of the width of the gap. To determine whether variations in landscape context lead to significant variations in RSF estimation, gap-crossing probabilities were estimated at four sites differing in hedgerow density (from less than 20 to 200 m.ha-1) (see Fig.S2). Data were recorded when most females were lactating, in July 2016 for the Annepont site and late June and July 2018 for three other sites: Les Verchers-sur-Layon, Réaumur, and Azay-sur-Thouet.
Acoustic sampling
The gap-crossing approach was used to estimate the probability of crossing a discontinuity (gap) in a connecting feature (hedgerow) as a function of the width of this gap, following Pinaud et al. (2018). At the four sites centred on a GHB maternity, recorders were placed overnight near the colony (&l..., # Modelling connectivity at a regional scale during seasonal movements of the greater horseshoe bat

Dataset DOI: [10.5061/dryad.hqbzkh1vd](10.5061/dryad.hqbzkh1vd)

## Description of the data and file structure

Using Resource Selection Function, the movement patterns of greater horseshoe bats (GHB) studied on a local scale were transposed to a regional scale to model the connectivity in western France. GHB is highly sensitive to loss of connectivity and makes seasonal regional migrations. How the local landscape heterogeneity influenced the conductance parameters estimation for modelling was examined using gap-crossing method at four different sites with variable landscape composition. The inferred parameters were used to create a regional connectivity map based on circuit theory. To validate this map, acoustic monitoring was conducted during the autumn migration to assess its effectiveness in identifying connectivity gradients.

### Files and variables

#### File: AcousticDetections_...,