Published May 20, 2011
| Version v1
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Poleward range expansion without a southern contraction in the ground beetle Agonum viridicupreum (Coleoptera, Carabidae)
Creators
- 1. University of Lueneburg, Lueneberg, Germany
- 2. , , Italy
- 3. , , Germany
- 4. Musée National d'Histoire Naturelle, Section Zoologie des Invertébrés, L-2160 Luxembourg, , Luxembourg
- 5. Verein für Naturwissenschaftliche Heimatforschung zu Hamburg, , Germany
- 6. , Freiburg, Germany
- 7. Leuphana University, Lüneburg, Germany
- 8. Institute of Ecology and Environmental Chemistry, University of Lüneburg, Lüneburg, , Germany
- 9. Leuphana University Lüneburg, , Germany
- 10. Leuphana University Lüneburg, , Georgia
- 11. University of Lüneburg, Germany, , Germany
- 12. Department of Biodiversity and Environmental Management, University of Leon, LEON, Spain
- 13. Institute of Ecology, University of Lüneburg, Lüneburg, Lüneburg, Germany
Description
We investigated the extent of poleward shifts in the distribution range of Agonum viridicupreum due to climate change in the western Palaearctic. Species’ records were obtained from extensive literature sources as well as from collections, and consistent amateur entomologists’ recordings. Within the general geographic range of the species, we analyzed in detail two parts of both, the northern and southern distribution range boundaries: (1 and 2) north-western Germany (leading or high-latitude edge), (3) Israel and (4) southern Italy (rear or low-latitude edge). Temporal changes in the occurrence data of the species indicated a northward shift of the leading edge of a minimum of 100 km within the last 50 to 100 years. In contrast, according to the data gathered, the rear edge has not changed during the last decades. Further studies are needed in order to fully understand the underlying mechanisms of the different behaviour of leading and rear range edges of A. viridicupreum in the current context of global change. Despite our incomplete understanding, chronosequences of the occurrence of the given species have the potential to optimize climate niche modelling to predict trends in the distribution range in the future.
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