2016 |
Dauby, Gilles; Zaiss, Rainer; Blach-Overgaard, Anne; Catarino, Luís; Damen, Theo; Deblauwe, Vincent; Dessein, Steven; Dransfield, John; Droissart, Vincent; Duarte, Maria Cristina; Engledow, Henry; Fadeur, Geoffrey; Figueira, Rui; Gereau, Roy E; Hardy, Olivier J; Harris, David J; de Heij, Janneke; Janssens, Steven; Klomberg, Yannick; Ley, Alexandra C; MacKinder, Barbara A; Meerts, Pierre; van de Poel, Jeike L; Sonké, Bonaventure; Sosef, Marc S M; Stévart, Tariq; Stoffelen, Piet; Svenning, Jens-Christian; Sepulchre, Pierre; van der Burgt, Xander; Wieringa, Jan J; Couvreur, Thomas L P RAINBIO: a mega-database of tropical African vascular plants distributions Journal Article PhytoKeys, 74 , pp. 1-18, 2016, ISSN: 1314-2011. Abstract | Links | BibTeX | Tags: biodiversity assessment, cultivated species, digitization, georeferencing, habit, Herbarium specimens, native species, taxonomic backbone, tropical forests @article{10.3897/phytokeys.74.9723, title = {RAINBIO: a mega-database of tropical African vascular plants distributions}, author = {Gilles Dauby and Rainer Zaiss and Anne Blach-Overgaard and Luís Catarino and Theo Damen and Vincent Deblauwe and Steven Dessein and John Dransfield and Vincent Droissart and Maria Cristina Duarte and Henry Engledow and Geoffrey Fadeur and Rui Figueira and Roy E Gereau and Olivier J Hardy and David J Harris and Janneke de Heij and Steven Janssens and Yannick Klomberg and Alexandra C Ley and Barbara A MacKinder and Pierre Meerts and Jeike L van de Poel and Bonaventure Sonké and Marc S M Sosef and Tariq Stévart and Piet Stoffelen and Jens-Christian Svenning and Pierre Sepulchre and Xander van der Burgt and Jan J Wieringa and Thomas L P Couvreur}, url = {https://doi.org/10.3897/phytokeys.74.9723}, doi = {10.3897/phytokeys.74.9723}, issn = {1314-2011}, year = {2016}, date = {2016-01-01}, journal = {PhytoKeys}, volume = {74}, pages = {1-18}, publisher = {Pensoft Publishers}, abstract = {The tropical vegetation of Africa is characterized by high levels of species diversity but is undergoing important shifts in response to ongoing climate change and increasing anthropogenic pressures. Although our knowledge of plant species distribution patterns in the African tropics has been improving over the years, it remains limited. Here we present RAINBIO, a unique comprehensive mega-database of georeferenced records for vascular plants in continental tropical Africa. The geographic focus of the database is the region south of the Sahel and north of Southern Africa, and the majority of data originate from tropical forest regions. RAINBIO is a compilation of 13 datasets either publicly available or personal ones. Numerous in depth data quality checks, automatic and manual via several African flora experts, were undertaken for georeferencing, standardization of taxonomic names and identification and merging of duplicated records. The resulting RAINBIO data allows exploration and extraction of distribution data for 25,356 native tropical African vascular plant species, which represents ca. 89% of all known plant species in the area of interest. Habit information is also provided for 91% of these species.}, keywords = {biodiversity assessment, cultivated species, digitization, georeferencing, habit, Herbarium specimens, native species, taxonomic backbone, tropical forests}, pubstate = {published}, tppubtype = {article} } The tropical vegetation of Africa is characterized by high levels of species diversity but is undergoing important shifts in response to ongoing climate change and increasing anthropogenic pressures. Although our knowledge of plant species distribution patterns in the African tropics has been improving over the years, it remains limited. Here we present RAINBIO, a unique comprehensive mega-database of georeferenced records for vascular plants in continental tropical Africa. The geographic focus of the database is the region south of the Sahel and north of Southern Africa, and the majority of data originate from tropical forest regions. RAINBIO is a compilation of 13 datasets either publicly available or personal ones. Numerous in depth data quality checks, automatic and manual via several African flora experts, were undertaken for georeferencing, standardization of taxonomic names and identification and merging of duplicated records. The resulting RAINBIO data allows exploration and extraction of distribution data for 25,356 native tropical African vascular plant species, which represents ca. 89% of all known plant species in the area of interest. Habit information is also provided for 91% of these species. |
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