Assessing Climate Change Induced Turnover in Bird Communities Using Climatically Analogous Regions

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Sybertz, Janine; Reich, Michael: Assessing Climate Change Induced Turnover in Bird Communities Using Climatically Analogous Regions. In: Diversity 7 (2015), Nr. 1, S. 36-59. DOI: http://dx.doi.org/10.3390/d7010036

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/23

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Sum total of downloads: 645




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Abstract: 
It is crucial to define and quantify possible impacts of climate change on wildlife in order to be able to pre-adapt management strategies for nature conservation. Thus, it is necessary to assess which species might be affected by climatic changes, especially at the regional scale. We present a novel approach to estimate possible climate change induced turnovers in bird communities and apply this method to Lüneburg Heath, a region in northern Germany. By comparing species pools of future climatically analogous regions situated in France with the Lüneburg Heath species pool, we detected possible trends for alterations within the regional bird community in the course of climate change. These analyses showed that the majority of bird species in Lüneburg Heath will probably be able to tolerate the projected future climate conditions, but that bird species richness, in general, may decline. Species that might leave the community were often significantly associated with inland wetland habitats, but the proportion of inland wetlands within the regions had a significant influence on the magnitude of this effect. Our results suggest that conservation efforts in wetlands have to be strengthened in light of climate change because many species are, in principle, able to tolerate future climate conditions if sufficient habitat is available.
License of this version: CC BY 4.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Architektur und Landschaft

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 492 76.28%
2 image of flag of United States United States 61 9.46%
3 image of flag of France France 15 2.33%
4 image of flag of Russian Federation Russian Federation 12 1.86%
5 image of flag of No geo information available No geo information available 8 1.24%
6 image of flag of Netherlands Netherlands 7 1.09%
7 image of flag of Greece Greece 7 1.09%
8 image of flag of Ukraine Ukraine 4 0.62%
9 image of flag of Canada Canada 4 0.62%
10 image of flag of Latvia Latvia 3 0.47%
    other countries 32 4.96%

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