A species-level trait dataset of bats in Europe and beyond
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Knowledge of species’ functional traits is essential for understanding biodiversity patterns, predicting the impacts of global environmental changes, and assessing the efficiency of conservation measures. Bats are major components of mammalian diversity and occupy a variety of ecological niches and geographic distributions. However, an extensive compilation of their functional traits and ecological attributes is still missing. Here we present EuroBaTrait 1.0, the most comprehensive and up-to-date trait dataset covering 47 European bat species. The dataset includes data on 118 traits including genetic composition, physiology, morphology, acoustic signature, climatic associations, foraging habitat, roost type, diet, spatial behaviour, life history, pathogens, phenology, and distribution. We compiled the bat trait data obtained from three main sources: (i) a systematic literature and dataset search, (ii) unpublished data from European bat experts, and (iii) observations from large-scale monitoring programs. EuroBaTrait is designed to provide an important data source for comparative and trait-based analyses at the species or community level. The dataset also exposes knowledge gaps in species, geographic and trait coverage, highlighting priorities for future data collection.
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FROIDEVAUX, Jérémy S. P., Nia TOSHKOVA, Luc BARBARO, Ana BENÍTEZ-LÓPEZ, Christian KERBIRIOU, Isabelle LE VIOL, Michela PACIFICI, Danilo RUSSO, Dina K. N. DECHMANN, Orly RAZGOUR, 2023. A species-level trait dataset of bats in Europe and beyond. In: Scientific Data. Springer. 2023, 10, 253. eISSN 2052-4463. Available under: doi: 10.1038/s41597-023-02157-4BibTex
@article{Froidevaux2023speci-66870, year={2023}, doi={10.1038/s41597-023-02157-4}, title={A species-level trait dataset of bats in Europe and beyond}, volume={10}, journal={Scientific Data}, author={Froidevaux, Jérémy S. P. and Toshkova, Nia and Barbaro, Luc and Benítez-López, Ana and Kerbiriou, Christian and Le Viol, Isabelle and Pacifici, Michela and Russo, Danilo and Dechmann, Dina K. N. and Razgour, Orly}, note={Article Number: 253} }
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