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      A database of freshwater fish species of the Amazon Basin

      data-paper
      1 , , 1 , 1 , 2 , 3 , 3 , 4 , 5 , 6 , 7 , 8 , 8 , 9 , 7 , 8 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 7 , 7 , 7 , 18 , 19 , 20 , 12 , 21 ,   22 , 23 , 7 , 24 , 2 , 25 , 7 , 11 , 26 , 9 , 27 , 7 , 28 , 29 , 30 , 1
      Scientific Data
      Nature Publishing Group UK
      Freshwater ecology, Tropical ecology, Biodiversity

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          Abstract

          The Amazon Basin is an unquestionable biodiversity hotspot, containing the highest freshwater biodiversity on earth and facing off a recent increase in anthropogenic threats. The current knowledge on the spatial distribution of the freshwater fish species is greatly deficient in this basin, preventing a comprehensive understanding of this hyper-diverse ecosystem as a whole. Filling this gap was the priority of a transnational collaborative project, i.e. the AmazonFish project - https://www.amazon-fish.com/. Relying on the outputs of this project, we provide the most complete fish species distribution records covering the whole Amazon drainage. The database, including 2,406 validated freshwater native fish species, 232,936 georeferenced records, results from an extensive survey of species distribution including 590 different sources ( e.g. published articles, grey literature, online biodiversity databases and scientific collections from museums and universities worldwide) and field expeditions conducted during the project. This database, delivered at both georeferenced localities (21,500 localities) and sub-drainages grains (144 units), represents a highly valuable source of information for further studies on freshwater fish biodiversity, biogeography and conservation.

          Abstract

          Measurement(s) Diversity • Fish • spatial pattern
          Technology Type(s) digital curation
          Factor Type(s) geographic location
          Sample Characteristic - Organism fish
          Sample Characteristic - Environment drainage basin
          Sample Characteristic - Location Amazon Basin

          Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11920800

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          Most cited references23

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          DEVELOPMENT AND ENVIRONMENT. Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong.

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            Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems

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              Is Open Access

              Fish biodiversity and conservation in South America.

              The freshwater and marine fish faunas of South America are the most diverse on Earth, with current species richness estimates standing above 9100 species. In addition, over the last decade at least 100 species were described every year. There are currently about 5160 freshwater fish species, and the estimate for the freshwater fish fauna alone points to a final diversity between 8000 and 9000 species. South America also has c. 4000 species of marine fishes. The mega-diverse fish faunas of South America evolved over a period of >100 million years, with most lineages tracing origins to Gondwana and the adjacent Tethys Sea. This high diversity was in part maintained by escaping the mass extinctions and biotic turnovers associated with Cenozoic climate cooling, the formation of boreal and temperate zones at high latitudes and aridification in many places at equatorial latitudes. The fresh waters of the continent are divided into 13 basin complexes, large basins consolidated as a single unit plus historically connected adjacent coastal drainages, and smaller coastal basins grouped together on the basis of biogeographic criteria. Species diversity, endemism, noteworthy groups and state of knowledge of each basin complex are described. Marine habitats around South America, both coastal and oceanic, are also described in terms of fish diversity, endemism and state of knowledge. Because of extensive land use changes, hydroelectric damming, water divergence for irrigation, urbanization, sedimentation and overfishing 4-10% of all fish species in South America face some degree of extinction risk, mainly due to habitat loss and degradation. These figures suggest that the conservation status of South American freshwater fish faunas is better than in most other regions of the world, but the marine fishes are as threatened as elsewhere. Conserving the remarkable aquatic habitats and fishes of South America is a growing challenge in face of the rapid anthropogenic changes of the 21st century, and deserves attention from conservationists and policy makers.
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                Author and article information

                Contributors
                celine.jezequel@ird.fr
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                19 March 2020
                19 March 2020
                2020
                : 7
                : 96
                Affiliations
                [1 ]ISNI 0000 0001 0723 035X, GRID grid.15781.3a, UMR EDB (Laboratoire Évolution et Diversité Biologique), CNRS 5174, IRD253, UPS, 118 route de Narbonne, ; F-31062 Toulouse, France
                [2 ]ISNI 0000 0001 1033 6040, GRID grid.41312.35, Facultad de Ciencias, , Pontificia Universidad Javeriana (PUJ), Unidad de Ecología y Sistemática (UNESIS), Laboratorio de Ictiología, Departamento de Biología, ; Carrera 7 No. 40–62, Bogotá, Colombia
                [3 ]ISNI 0000 0001 2107 4576, GRID grid.10800.39, Museo de Historia Natural, , Universidad Nacional Mayor San Marcos (MUSM), Departamento de Ictiología, ; Avenida Arenales 1256, Jesús María, 15072 Lima, Peru
                [4 ]Royal Belgian Institute for Natural Sciences, OD Nature, Freshwater Biology, Vautierstraat 29, B-1000 Brussels, Belgium
                [5 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, University of Ghent, Department Biology, ; K.L. Ledeganckstraat 35, B-9000 Gent, Belgium
                [6 ]ISNI 0000 0001 0514 7202, GRID grid.411249.b, Universidade Federal de São Paulo, Departamento de Ciências do Mar, Campus Baixada Santista (UNIFESP). Rua Doutor Carvalho de Mendonça, ; 144, Encruzilhada, 11015-020 Santos, SP Brazil
                [7 ]Instituto Nacional de Pesquisas da Amazônia (INPA), Coordenação de Biodiversidade, Avenida André Araújo, 2936, Petrópolis, 69067-375 Manaus, Amazonas Brazil
                [8 ]ISNI 0000 0001 2104 9506, GRID grid.493190.6, Instituto Amazónico de Investigaciones Científicas Sinchi, Colección Ictiológica de la Amazonia Colombiana (CIACOL), Avenida Vasquez Cobo entre Calles 15 y 16, ; Leticia, Amazonas Colombia
                [9 ]Museo Nacional de Historia Natural - MMAyA, Calle 26 de Cota Cota, La Paz, Bolivia
                [10 ]Universidade Federal de Mato Grosso (UFMT), Campus Universitário de Cuiabá, Avenida Fernando Correa da Costa, 2367, 78060-900 Cuiabé, Mato Grosso Brazil
                [11 ]ISNI 0000 0004 0509 0076, GRID grid.448725.8, Universidade Federal do Oeste do Pará (UFOPA), Instituto de Ciências e Tecnologia das Águas (ICTA), Rua Vera Paz, ; 68040-050 Santarém, Pará Brazil
                [12 ]ISNI 0000 0001 2176 4059, GRID grid.10491.3d, Universidad Mayor de San Simón, Unidad de Limnología y Recursos Acuáticos (UMSS-ULRA), Calle Sucre y parque la Torre, ; 2500 Cochabamba, Bolivia
                [13 ]ISNI 0000 0001 2322 4953, GRID grid.411206.0, Universidade Federal de Mato Grosso (UFMT), Campus Universitário de Sinop, Avenida Alexandre Ferronato, 1200, ; 78550-728 Sinop, Mato Grosso Brazil
                [14 ]Centro Universitário Aparício Carvalho, Departamento de Ciências Biológicas, Rua das Ararás, 241, 76811-678 Porto Velho, Rondônia Brazil
                [15 ]Muséum d’histoire naturelle (MHNG), Département d’herpétologie et d’ichtyologie, route de Malagnou 1, case postale 6434, CH-1211 Genève, Switzerland
                [16 ]Instituto Alexander von Humboldt (IAvHP), Calle 28A#15-09, Bogota, Colombia
                [17 ]GRID grid.440563.0, Universidade Federal de Rondônia, Departamento de Biologia (UNIR), Campus José Ribeiro Filho, ; Rodovia BR-364, s/n km 9,5, 76801-059 Porto Velho, Rondônia Brazil
                [18 ]ISNI 0000 0001 2171 5249, GRID grid.271300.7, Universidade Federal do Pará (UFPA), Núcleo de Ecologia Aquática e Pesca da Amazônia (NEAP), ; Avenida Perimetral, 2651, 66077-830 Belém, Pará Brazil
                [19 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais (UFMG), Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, ; Avenida Antonio Carlos, 6627, 31270-901 Belo Horizonte, Minas Gerais Brazil
                [20 ]ISNI 0000 0001 2181 3113, GRID grid.166341.7, Academy of Natural Sciences of Philadelphia and Drexel University (ANSP), Ichthyology Department, 1900 Benjamin Franklin Parkway, ; Philadelphia, PA 19103 USA
                [21 ]ISNI 0000 0001 0286 3748, GRID grid.10689.36, Instituto de Ciencias Naturales, Universidad Nacional de Colombia (UN ICN-MHN), ; Ak 30#45-03, Bogota, Colombia
                [22 ]ISNI 0000 0001 2171 5249, GRID grid.271300.7, Universidade Federal do Pará (UFPA), Ecology and Conservation Lab, Rua Augusto Correa, 01, ; 66075-110 Belém, Pará Brazil
                [23 ]GRID grid.440563.0, Universidade Federal de Rondônia (UNIR), Laboratório de Ciências Ambientais, Campus Presidente Médici, ; Rua da Paz, 4376, 76916-000 Presidente Médici, Rondônia Brazil
                [24 ]Laboratoire de Biologie des Organismes et Ecosystèmes Aquatiques, Muséum National d’Histoire Naturelle, CNRS, IRD, SU, UCN, UA, 43 Rue Cuvier, F-75005 Paris, France
                [25 ]ISNI 0000 0001 2322 4988, GRID grid.8591.5, University of Geneva, Department of Genetics and Evolution (UNIGE GenEv), ; Boulevard D’Yvoy 4, 1205 Genève, Switzerland
                [26 ]Instituto para la Investigación y la Preservación del Patrimonio Cultural y Natural (INCIVA), Calle 6#24-80, Avenida Roosevelt, Cali, Colombia
                [27 ]ISNI 0000 0001 2171 5249, GRID grid.271300.7, Universidade Federal do Pará (UFPA), Laboratório de Ictiologia de Altamira, Rua Coronel José Porfírio, 2515, ; 68372-040 Altamira, Pará Brazil
                [28 ]ISNI 0000 0001 1012 4726, GRID grid.501606.4, Instituto Nacional De Biodiversidad (INABIO), Pje Rumipamba 341 y Avenida de los Shyris (Parque La Carolina), ; 170150 Quito, Ecuador
                [29 ]ISNI 0000 0001 2168 0760, GRID grid.412192.d, Universidad del Tolima (UT CZUT-IC), Facultad de Ciencias, Grupo de Investigación en Zoología, Barrio Santa Helena Parte Alta, ; Ibagué, Tolima Colombia
                [30 ]GRID grid.440545.4, Universidad Autónoma del Beni, Centro de Investigación de Recursos Acuáticos (CIRA), ; Avenida 6 De Agosto No. 61, Trinidad, Bolivia
                Author information
                http://orcid.org/0000-0003-0687-1467
                http://orcid.org/0000-0002-0071-5159
                http://orcid.org/0000-0001-7718-7764
                http://orcid.org/0000-0002-8186-8914
                http://orcid.org/0000-0002-8680-7942
                http://orcid.org/0000-0002-1036-5850
                http://orcid.org/0000-0002-5524-6281
                http://orcid.org/0000-0002-9514-5370
                http://orcid.org/0000-0002-4107-3332
                Article
                436
                10.1038/s41597-020-0436-4
                7081286
                32193422
                36674db3-5150-431c-b936-447cde2a1a1d
                © The Author(s) 2020

                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. The 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/.

                The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

                History
                : 30 October 2019
                : 2 March 2020
                Funding
                Funded by: ERANet-LAC:ELAC2014/DCC-0210, www.amazon-fish.com Investissement d’Avenir:CEBA, ANR-10-LABX-25-01; TULIP, ANR-10-LABX-0041
                Funded by: Colciencas:44842-519-2015
                Funded by: ERANet-LAC: ELAC2014/DCC-0210, www.amazon-fish.com Fondecyt – Concytec (203-2015)
                Funded by: ERANet-LAC: ELAC2014/DCC-0210, www.amazon-fish.com FAPESP:#2016/07910-0
                Funded by: ERANet-LAC: ELAC2014/DCC-0210, www.amazon-fish.com CNPq#313183/2014-7
                Funded by: ERANet-LAC: ELAC2014/DCC-0210, www.amazon-fish.com Colciencas: 44842-519-2015
                Funded by: ERANet-LAC: ELAC2014/DCC-0210, www.amazon-fish.com Colciencas:44842-519-2015
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2020

                freshwater ecology,tropical ecology,biodiversity
                freshwater ecology, tropical ecology, biodiversity

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