Published October 29, 2023
| Version v1
Dataset
Open
Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms
Creators
- 1. Centre d'Etudes Biologiques de Chizé, CNRS UMR 7372- Université de La Rochelle, 79360 Villiers-en-Bois, France
- 2. Cistude Nature, Chemin du Moulinat - 33185 Le Haillan, France
- 3. CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- 4. BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- 5. Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- 6. Department of Environmental Sciences, Section of Conservation Biology, University of Basel, 4056, Basel, Switzerland.
- 7. info fauna – CSCF & karch, Avenue Bellevaux 51, 2000, Neuchâtel, Switzerland.
- 8. Balaton Limnological Research Institute, Klebelsberg Kuno utca 3, 8237 Tihany, Hungary
- 9. Institut des Sciences de la Forêt Tempérée, Université du Québec en Outaouais, 58, Rue Principale, Ripon, Québec J0V 1V0, Canada
- 10. Quebec Centre for Biodiversity Science, McGill University, 1205 Dr. Penfield Avenue, Montreal, Quebec, H3A 1B1, Canada
- 11. Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- 12. Association Le Champ des Possibles, Lachaud Fauvet, 23340 Gentioux Pigerolles, France
- 13. Image Société Territoire Homme Mémoire Environnement, Université Jean Monnet, EVS UMR 5600 CNRS, 42023 Saint-Etienne cedex 2, France
Description
Table with the occurrence data at 10 min resolution (~20 x 20 km) for Vipera berus and Zootoca vivipara, used in Guillon et al. 2024, Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms. https://doi.org/10.1111/jbi.14828
Files
Files
(9.0 MB)
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md5:a82a76a486deba062110779538700153
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