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Geolocated fish spawning habitats.
Oremus, Kimberly L; Rising, James; Ramesh, Nandini; Ostroski, Audrey J.
Afiliação
  • Oremus KL; University of Delaware, School of Marine Science and Policy, Newark, DE, 19716, USA. oremus@udel.edu.
  • Rising J; University of Delaware, School of Marine Science and Policy, Newark, DE, 19716, USA.
  • Ramesh N; Commonwealth Scientific and Industrial Research Organisation, Natural Systems Modelling Group, Data61, Eveleigh, NSW, 2015, Australia.
  • Ostroski AJ; University of Delaware, School of Marine Science and Policy, Newark, DE, 19716, USA.
Sci Data ; 11(1): 521, 2024 May 22.
Article em En | MEDLINE | ID: mdl-38778024
ABSTRACT
Fish spawning locations are a crucial input into fisheries management and conservation plans, and many stocks are especially sensitive to the environmental conditions within these localized zones. Globally collated data on spawning locations across many species has been unavailable, hindering global stock assessments and analyses of sustainable development and global environmental change. To address this, we created a geocoded fish spawning dataset using qualitative spawning information from FishBase and Science and Conservation of Fish Aggregations (SCRFA). We cleaned and geocoded the spawning locations of 1,045 marine fish species into 2,931 regions. Each spawning region is defined by one or more polygons, and most spawning regions are associated with spawning months. The resulting dataset covers oceans globally. This dataset will be useful to scientists studying marine fish population dynamics and their interactions with the physical environment on regional to large scales.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Ecossistema / Peixes Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Ecossistema / Peixes Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos