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VegAndes: the vegetation database for the Latin American highlands
- Source :
- Vegetation Classification and Survey, Vegetation Classification and Survey, 2022, 3, pp.287-296. ⟨10.3897/vcs.95750⟩
- Publication Year :
- 2022
- Publisher :
- Zenodo, 2022.
-
Abstract
- In the era of Big Data, Latin American countries and biomes remain underrepresented. To remediate this issue, promoting repositories for biodiversity data focused on Latin America is a main priority. VegAndes -Dpt the vegetation database for the Latin American highlands (GIVD: SA-00-005), is a novel dataset for georeferenced and standardized information on vascular pants in the region. The database compiles 5,340 vegetation plots sampled above the montane treeline and below the permanent snowline in 11 Latin American countries and spanning over seven decades. VegAndes currently encompasses 5,804 taxon names, corresponding to 3,858 accepted names, as well as 136 syntaxon names. The database is nested within a scientific consortium of Latin American experts on highland vegetation and piloted from the University of the Andes (Colombia). Because the VegAndes data can support multi-scale studies in botany, ecology and biogeography, the database makes an essential contribution to biodiversity research and management perspectives in Latin America. Taxonomic reference: TROPICOS (preferential source, www.tropicos.org/), World Flora Online (secondary source, www.worldfloraonline.org/).
- Subjects :
- www.worldfloraonline.org/) database
phytosociology
Plant Science
TROPICOS (preferential source www.tropicos.org/) World Flora Online (secondary source www.worldfloraonline.org/) database flora highland Mesoamerica phytosociology plot data South America vegetation
World Flora Online (secondary source
Mesoamerica
South America
Agricultural and Biological Sciences (miscellaneous)
flora
www.tropicos.org/)
vegetation
TROPICOS (preferential source
plot data
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Ecology, Evolution, Behavior and Systematics
database
highland
Subjects
Details
- ISSN :
- 26830671
- Database :
- OpenAIRE
- Journal :
- Vegetation Classification and Survey, Vegetation Classification and Survey, 2022, 3, pp.287-296. ⟨10.3897/vcs.95750⟩
- Accession number :
- edsair.doi.dedup.....64cd2df6ee9dcd103773343a8389fa11