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Title
A first approach to calculate BIOCLIM variables and climate zones for Antarctica
AuthorWagner, Monika ; Trutschnig, Wolfgang ; Bathke, Arne C. ; Ruprecht, Ulrike
Published in
Theoretical and Applied Climatology, Wien : Springer Vienna, 2017, Vol. 2017, Issue [online first], page 1-19
LanguageEnglish
Document typeJournal Article
Project-/ReportnumberP26638
ISSN1434-4483
URNurn:nbn:at:at-ubs:3-3953 Persistent Identifier (URN)
DOI10.1007/s00704-017-2053-5 
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 The work is publicly available
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A first approach to calculate BIOCLIM variables and climate zones for Antarctica [7.31 mb]
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Abstract (English)

For testing the hypothesis that macroclimatological factors determine the occurrence, biodiversity, and species specificity of both symbiotic partners of Antarctic lecideoid lichens, we present a first approach for the computation of the full set of 19 BIOCLIM variables, as available at http://www.worldclim.org/ for all regions of the world with exception of Antarctica. Annual mean temperature (Bio 1) and annual precipitation (Bio 12) were chosen to define climate zones of the Antarctic continent and adjacent islands as required for ecological niche modeling (ENM). The zones are based on data for the years 2009–2015 which was obtained from the Antarctic Mesoscale Prediction System (AMPS) database of the Ohio State University. For both temperature and precipitation, two separate zonings were specified; temperature values were divided into 12 zones (named 1 to 12) and precipitation values into five (named A to E). By combining these two partitions, we defined climate zonings where each geographical point can be uniquely assigned to exactly one zone, which allows an immediate explicit interpretation. The soundness of the newly calculated climate zones was tested by comparison with already published data, which used only three zones defined on climate information from the literature. The newly defined climate zones result in a more precise assignment of species distribution to the single habitats. This study provides the basis for a more detailed continental-wide ENM using a comprehensive dataset of lichen specimens which are located within 21 different climate regions.

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CC-BY-License (4.0)Creative Commons Attribution 4.0 International License