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Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform
Rambold, G.; Zedda, L.; Coyle, J.R.; Persoh, D.; Köhler, T.; Triebel, D. (2016). Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform. Biodivers. Conserv. 25(13): 2743-2751. https://hdl.handle.net/10.1007/s10531-016-1199-2
In: Biodiversity and Conservation. Kluwer Academic Publishers/Springer: London. ISSN 0960-3115; e-ISSN 1572-9710, more
Peer reviewed article  

Available in  Authors 

Author keywords
    Biogeography, Ecoinformatics, Heatmapping, Lichen traits, LIAS gtm

Authors  Top 
  • Rambold, G.
  • Zedda, L.
  • Coyle, J.R.
  • Persoh, D.
  • Köhler, T.
  • Triebel, D.

Abstract
    LIAS gtm, a new platform of the LIAS lichen information system, is presented. It allows for the visualization of phenotypic traits via geographic heatmapping of relative trait frequencies (RTFs) based on data derived from GBIF (occurrence data) and from LIAS light (taxon description data). The data are combined and referred to defined geographic areas of interest. Exemplarily, LIAS gtm provides distribution patterns of a selection of single, dual or multiple traits. The data are visualized for two lichen record hotspots, Scandinavia and Australia. Detailed technical information is provided on the platform web site itself.

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