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DatoValore
TitleA georeferenced dataset for occurrence records of the phylum Rotifera in Africa
AbstractWe report a dataset of all known and published occurrence records of animals of the phylum Rotifera, including Bdelloidea, Monogononta, and Seisonacea (with the exclusion of Acanthocephala) for Africa and surrounding islands and archipelagos. The dataset includes 24,704 records of 914 taxa (subspecies: 38; species: 783; genus: 76; family: 17), gathered from 610 published papers. The published literature spans from 1854 to 2022, with the highest number of records in the decades 1990-1999 and 2010-2019. The African countries with the highest number of taxa are Nigeria, Algeria, South Africa, and Democratic Republic of the Congo, whereas no records are yet available for a dozen countries. The number of species known from each country can be explained mostly by sampling efforts, measured as the number of papers published for each country up to now. The dataset is available through the Open Science Framework (OSF) and in the Global Biodiversity Information Facility (GBIF).
SourceJournal of limnology (Testo stamp.) 82 (2116)
Keywordsrotiferaafrica
JournalJournal of limnology (Testo stamp.)
EditorIstituto per lo Studio degli Ecosistemi., Verbania Pallanza, Italia
Year2023
TypeArticolo in rivista
DOI10.4081/jlimnol.2023.2116
AuthorsZacarias Fresno Lopez, Tommaso Cancellario, Diego Fontaneto, Lyudmila Kamburska, Karimullah Karimullah, Robert L. Wallace, Elizabeth J. Walsh, Radoslav Smolak
Text478750 2023 10.4081/jlimnol.2023.2116 rotifera africa A georeferenced dataset for occurrence records of the phylum Rotifera in Africa Zacarias Fresno Lopez, Tommaso Cancellario, Diego Fontaneto, Lyudmila Kamburska, Karimullah Karimullah, Robert L. Wallace, Elizabeth J. Walsh, Radoslav Smolak 1Department of Earth and Environmental Sciences, University of Milano Bicocca, Piazza dell Ateneo Nuovo 1, 20126 Milan, Italy; 2National Research Council, Water Research Institute CNR IRSA , Largo Tonolli 50, 28922 Verbania Pallanza, Italy; 3Department of Biology, University of the Balearic Islands, Ctra. Valldemossa km 7.5, 07122 Palma, Spain; 4National Biodiversity Future Center NBFC , 90133 Palermo, Italy; 5Department of Biology, Ripon College, 300 W. Seward St., Ripon, WI 54971, USA; 6Department of Biological Sciences, University of Texas at El Paso, 500 W. University Ave, El Paso, TX 79968, USA; 7Department of Ecology, Faculty of Humanities and Natural Sciences, University of Presov, Ul. 17. novembra 1, 08001 Presov, Slovakia We report a dataset of all known and published occurrence records of animals of the phylum Rotifera, including Bdelloidea, Monogononta, and Seisonacea with the exclusion of Acanthocephala for Africa and surrounding islands and archipelagos. The dataset includes 24,704 records of 914 taxa subspecies 38; species 783; genus 76; family 17 , gathered from 610 published papers. The published literature spans from 1854 to 2022, with the highest number of records in the decades 1990 1999 and 2010 2019. The African countries with the highest number of taxa are Nigeria, Algeria, South Africa, and Democratic Republic of the Congo, whereas no records are yet available for a dozen countries. The number of species known from each country can be explained mostly by sampling efforts, measured as the number of papers published for each country up to now. The dataset is available through the Open Science Framework OSF and in the Global Biodiversity Information Facility GBIF . 82 Published version https //www.jlimnol.it/index.php/jlimnol/article/view/2116 zac 2023_JLimnol_FresnoLopez et al.pdf Articolo in rivista Istituto per lo Studio degli Ecosistemi. 1129 5767 Journal of limnology Testo stamp. Journal of limnology Testo stamp. J. limnol. Testo stamp. Journal of limnology. Testo stamp. CANCELLARIO TOMMASO diego.fontaneto FONTANETO DIEGO lyudmilatodorova.kamburska KAMBURSKA LYUDMILA TODOROVA PRR.AP005.006.001 NBFC_SPOKE3_ ASSESSING AND MONITORING TERRESTRIAL AND FRESHWATER BIODIVERSITY AND ITS EVOLUTION FROM TAXONOMY TO GENOMICS AND CITIZEN SCIENCE_IRSA