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Conservation planning with spatially explicit models: a case for horseshoe bats in complex mountain landscapes
Authors:Marie Le Roux  Mathilde Redon  Frédéric Archaux  Jed Long  Stéphane Vincent  Sandra Luque
Institution:1.Irstea,National Research Institute of Science and Technology for Environment and Agriculture,Montpellier,France;2.MLR-environment,Montmin,France;3.University of St Andrews, Centre for Biological Diversity (CBD), School of Biology,University of St Andrews,St. Andrews,Scotland, UK;4.School of Geography and Sustainable Development,University of St Andrews,St. Andrews,Scotland, UK;5.Ligue pour la Protection des Oiseaux – Dr?me,Crest,France;6.EIRL Mathilde Redon,Toulouse,France
Abstract:

Context

Context Bats are considered as an ecological indicator of habitat quality due to their sensitivity to human-induced ecosystem changes. Hence, we will focus the study on two indicator species of bats as a proxy to evaluate structure and composition of the landscape to analyze anthropic pressures driving changes in patterns.

Objectives

This study develops a spatially-explicit model to highlight key habitat nodes and corridors which are integral for maintaining functional landscape connectivity for bat movement. We focus on a complex mountain landscape and two bat species: greater (Rhinolophus ferrumequinum) and lesser (Rhinolophus hipposideros) horseshoe bats which are known to be sensitive to landscape composition and configuration.

Methods

Species distribution models are used to delineate high-quality foraging habitat for each species using opportunistic ultrasonic bat data. We then performed connectivity analysis combining (modelled) suitable foraging habitat and (known) roost sites. We use graph-theory and the deviation in the probability of connectivity to quantify resilience of the landscape connectivity to perturbations.

Results

Both species were confined to lowlands (<1000 m elevation) and avoided areas with high road densities. Greater horseshoe bats were more generalist than lesser horseshoe bats which tended to be associated with broadleaved and mixed forests.

Conclusions

The spatially-explicit models obtained were proven crucial for prioritizing foraging habitats, roost sites and key corridors for conservation. Hence, our results are being used by key stakeholders to help integrate conservation measures into forest management and conservation planning at the regional level. The approach used can be integrated into conservation initiatives elsewhere.
Keywords:
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