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Behavioural context of multi-scale species distribution models assessed by radio-tracking
Authors:Mathieu G Lundy  Daniel J Buckley  Emma SM Boston  David D Scott  Paulo A Prodöhl  Ferdia Marnell  Emma C Teeling  W Ian Montgomery
Institution:1. Centre for Behavioural and Physiological Ecology, Zoology, University of New England, Armidale, NSW 2351, Australia;2. Department of Zoology, Tel Aviv University, Tel Aviv, Israel;3. Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway;1. California Polytechnic State University, San Luis Obispo, CA 93401, United States of America;2. School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia;3. School of Earth and Environmental Sciences, University of Queensland, Brisbane 4072, Australia;4. School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia;5. Office of Environment and Heritage, NSW 2220, Australia;6. School of Environment, Science and Engineering, Southern Cross University, Lismore, Australia;7. School of Communication and Arts, University of Queensland, Brisbane 4072, Australia;8. Tweed Shire Council, Murwillumbah, NSW 2484, Australia;9. Byron Shire Council, Mullumbimby, NSW 2482, Australia;10. Ballina Shire Council, Ballina, NSW 2478, Australia;11. Lismore City Council, Lismore, NSW 2480, Australia;12. Friends of the Koala, Lismore, NSW 2480, Australia
Abstract:Incorporating ecological processes and animal behaviour into Species Distribution Models (SDMs) is difficult. In species with a central resting or breeding place, there can be conflict between the environmental requirements of the ‘central place’ and foraging habitat. We apply a multi-scale SDM to examine habitat trade-offs between the central place, roost sites, and foraging habitat in Myotis nattereri. We validate these derived associations using habitat selection from behavioural observations of radio-tracked bats. A Generalised Linear Model (GLM) of roost occurrence using land cover variables with mixed spatial scales indicated roost occurrence was positively associated with woodland on a fine scale and pasture on a broad scale. Habitat selection of radio-tracked bats mirrored the SDM with bats selecting for woodland in the immediate vicinity of individual roosts but avoiding this habitat in foraging areas, whilst pasture was significantly positively selected for in foraging areas. Using habitat selection derived from radio-tracking enables a multi-scale SDM to be interpreted in a behavioural context. We suggest that the multi-scale SDM of M. nattereri describes a trade-off between the central place and foraging habitat. Multi-scale methods provide a greater understanding of the ecological processes which determine where species occur and allow integration of behavioural processes into SDMs. The findings have implications when assessing the resource use of a species at a single point in time. Doing so could lead to misinterpretation of habitat requirements as these can change within a short time period depending on specific behaviour, particularly if detectability changes depending on behaviour.
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