Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40017
Title: A database of freshwater macroinvertebrate occurrence records across Cuba
Authors: Torres-Cambas, Yusdiel
Megna, Yoandri S.
Salazar-Salina, Juan Carlos
DIEZ GARCIA, Yander 
Catala, Alejandro
Trapero-Quintana, Adrian D.
Schroeder, Boris
Domisch, Sami
Issue Date: 2023
Publisher: NATURE PORTFOLIO
Source: Scientific Data, 10 (1) (Art N° 169)
Abstract: In light of the ongoing freshwater biodiversity crisis, detailed knowledge regarding the spatial distribution of freshwater species is urgently required, especially in biodiversity hotspots. Here we present a database of georeferenced occurrence records of four freshwater invertebrate taxa groups across Cuba, namely flatworms (Platyhelminthes: Tricladida), insects (Ephemeroptera, Odonata, Hemiptera, Trichoptera, Coleoptera, Diptera), crabs and shrimps (Crustacea: Decapoda), and mollusks (Mollusca). We collated the geographic occurrence information from scientific literature, unpublished field records, museum collections and online databases. The database, comprising 6292 records of 457 species at 1075 unique localities, is organized in 32 fields that contain the information about the taxonomic classification of each recorded species, the sex and life stage of collected individuals; the geographic coordinates, location, author and date of the record and a reference to the original data source. This database provides an important basis towards an improved understanding of the spatial distribution of freshwater biodiversity in Cuba.
Notes: Torres-Cambas, Y (corresponding author), Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Community & Ecosyst Ecol, Muggelseedamm 310, D-12489 Berlin, Germany.; Torres-Cambas, Y (corresponding author), Tech Univ Carolo Wilhelmina Braunschweig, Inst Geoecol, D-38106 Braunschweig, Germany.
yusdiel.torres-cambas@igb-berlin.de
Keywords: Animals;Cuba;Insecta;Biodiversity;Fresh Water
Document URI: http://hdl.handle.net/1942/40017
e-ISSN: 2052-4463
DOI: 10.1038/s41597-023-02088-0
ISI #: 000957674200001
Rights: The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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