at Google ScholarTitle data
Rambold, Gerhard ; Zedda, Luciana ; Coyle, Jes ; Peršoh, Derek ; Köhler, Thomas ; Triebel, Dagmar:
Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform.
In: Biodiversity and Conservation.
Vol. 25
(2016)
Issue 13
.
- pp. 2743-2751.
ISSN 1572-9710
DOI: https://doi.org/10.1007/s10531-016-1199-2
Abstract in another language
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.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Additional notes: | BAYCEER137319 |
| Keywords: | Biogeography; Ecoinformatics; Heatmapping; Lichen traits; LIAS gtm |
| Institutions of the University: | Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Professor Mycology Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Professor Mycology > Professor Mycology - Univ.-Prof. Dr. Gerhard Rambold Research Institutions Research Institutions > Research Centres Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER Faculties Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science |
| Date Deposited: | 18 Jan 2018 09:48 |
| Last Modified: | 18 Jan 2018 09:48 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/41391 |