Fishes of the World

Nelson, Joseph S.; Grande, Terry; Wilson, Mark V. H.

doi:10.1002/9781119174844

Cited by 2,245 publications

(1,857 citation statements)

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“…Especificamente no rio Paraibuna, a reprodução dessa espécie ocorre durante os meses de agosto a novembro (Polaz et al, 2011). Adicionalmente, B. opaformes (Classe: Actinopterygii; Superordem: Ostariophysi), abrange cerca de 1.300 espécies de peixes teleósteos, divididas em 14 subfamílias, das quais, a Bryconinae (que incluí 43 espécies), 41 espécies pertence ao gênero Brycon, uma das mais importantes na pesca amadora, profissional e esportiva de água doce da América do Sul (Abe et al, 2014;Nelson et al, 2016). As espécies desta família são tipicamente prateadas, de médio a grande porte, com distribuição que vai do México na América do Norte à bacia do rio da Prata, na América do Sul (Lima e Castro 2000).…”

Section: Biologia Básica E Aplicadaunclassified

Biodiversidade e conservação da ictiofauna ameaçada de extinção da bacia do rio Paraíba do Sul

Honji¹,

Tolussi²,

Caneppele³

et al. 2017

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# Estes autores contribuíram igualmente para a realização deste trabalhoAbstract. The Paraíba do Sul river basin is the second largest basin of Brazilian east spreading over the São Paulo, Rio de Janeiro and Minas Gerais states, however the anthropic actions are contributing for the process of extinction of endemic species. Therefore, the Instituto Chico Mendes de Conservação de Biodiversidade with other institutions elaborated a National Action Plan (PAN) of Paraíba do Sul, which aimed to preserve these threatened species. In this review, we assembled the recent advances of studies of basic and applied biology of five threatened teleost fish. Beyond the biological data also gathered the main threats, conservation strategies and the possible presence of these species in conservation units. Then, the PAN has been achieving important outcomes showing that the maintenance of the study, especially on the knowledge of the target species is essential to successfully maintain these animals in the basin.

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Section: Biologia Básica E Aplicadaunclassified

Biodiversidade e conservação da ictiofauna ameaçada de extinção da bacia do rio Paraíba do Sul

Honji¹,

Tolussi²,

Caneppele³

et al. 2017

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“…The family Gempylidae comprises sixteen genera (Diplospinus, Epinnula, Gempylus, Lepidocybium, Nealotus, Neoepinnula, Nesiarchus, Paradiplospinus, Promethichthys, Rexea, Rexichthys, Ruvrttus, Thyrsites, Thyrsitoides, Thyrsitops and Tongaichthys) and 24 species (Nakamura and Parin, 1993;Roberts and Stewart, 1997;Nelson, 2006). This family is characterized by body oblong or elongate and compressed with two nostrils on the both sides of the snout.…”

Section: Introductionmentioning

confidence: 99%

First report of the black gemfish Nesiarchus nasutus (Perciformes: Gempylidae) in Argentinean waters

et al. 2015

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The gempylid Nesiarchus nasutus is reported for the first time from Argentinean waters, the southernmost occurrence of the species in the Southwestern Atlantic. This suggests that the fluctuating environmental characteristics of the area would be proper for the presence of tropical and subtropical species.Keywords: southwestern Atlantic, Brazilian current, trichiuroids fish, deep-sea. Primeiro relatório do gemfish preto Nesiarchus nasutus (Perciformes: Gempylidae) em águas argentinas ResumoA ocorrência de Nesiarchus nasutus é registrado pela primeira vez em águas argentinas, sendo a esta ocorrência mais meridional da espécie no Atlântico Sudoeste. Isto sugere que as características ambientais flutuantes da área seriam adequadas para a presença de espécies tropicais e subtropicais na mesma. Palavras-chave:Atlântico ocidental sul, corrente do Brasil, trichiuroidea, águas profundas.

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“…Both of these ontologies are not primarily focused on fish, and 57 they do not provide automated classification capabilities. Given that the total number of fish species has 58 been estimated at 32,500 globally (Nelson, 2006), an automated and comprehensive fish classification 59 platform would be an indispensable tool for fisheries biologists, marine scientists, and even laypersons 60 with interest in fish. 61…”

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confidence: 99%

“…86 "The diversity of fishes: biology, evolution, and ecology" was the main reference used in identifying 87 terms and definitions while devising the FO ). This book is a well-established 88 reference that follows standard fish taxonomy nomenclature proposed by Nelson (Nelson, 2006). Most of 89 the class labels, synonyms and definitions in the FO correspond to those in the reference book.…”

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confidence: 99%

Fish Ontology framework for taxonomy-based fish recognition

Ali

Khan

Then

et al. 2017

Preprint

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Life science ontologies play an important role in semantic web. In the fish and fisheries research field, it is imperative to have an ontology that can automatically provide information for biological objects annotations and links to relevant data pieces. As such, we introduce the Fish Ontology (FO), an automated classification architecture of existing fish taxa which provides taxonomic information of unknown fish based on metadata restrictions. It is designed to support knowledge discovery, providing semantic annotation of fish and fisheries resources, data integration, and information retrieval. The automated classification for unknown specimen is a feature not existing in other known ontologies covering fish species profiling and fisheries data. Examples of automated classification for major groups of fish are demonstrated, showing the inferred information by introducing several restrictions at the species or specimen level. The current version of FO has 1830 classes, includes widely used fisheries terminology, and models major aspects of fish taxonomy, grouping, and character. With more than 30,000 known fish species globally, the FO will be an indispensable tool for fish scientists and other interested users. 15 Life science ontologies play an important role in semantic web. In the fish and fisheries research field, it 16 is imperative to have an ontology that can automatically provide information for biological objects 17 annotations and links to relevant data pieces. As such, we introduce the Fish Ontology (FO), an automated 18 classification architecture of existing fish taxa which provides taxonomic information of unknown fish 19 based on metadata restrictions. It is designed to support knowledge discovery, providing semantic 20 annotation of fish and fisheries resources, data integration, and information retrieval. The automated 21 classification for unknown specimen is a feature not existing in other known ontologies covering fish 22 species profiling and fisheries data. Examples of automated classification for major groups of fish are 23 demonstrated, showing the inferred information by introducing several restrictions at the species or 24 specimen level. The current version of FO has 1830 classes, includes widely used fisheries terminology, 25 and models major aspects of fish taxonomy, grouping, and character. With more than 30,000 known fish 26 species globally, the FO will be an indispensable tool for fish scientists and other interested users. 28 INTRODUCTION29 Increasing amount of data produced by a single species has made it harder for fish researchers to manage 30 and provide fish data in a single database. Moreover, the high demand of having related data (metadata) 31 for a single species have encourage researchers to find an alternative for the current database set. Since 32 the arrival of computational automation, it is impractical to generate species data based on human 33 observation (Perez & Benjamins, 1999). The semantic web technology provides a promising platform for 34 biodiversity r...

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Fishes of the World

Cited by 2,245 publications

References 0 publications

Biodiversidade e conservação da ictiofauna ameaçada de extinção da bacia do rio Paraíba do Sul

Biodiversidade e conservação da ictiofauna ameaçada de extinção da bacia do rio Paraíba do Sul

First report of the black gemfish Nesiarchus nasutus (Perciformes: Gempylidae) in Argentinean waters

Fish Ontology framework for taxonomy-based fish recognition

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