A fine-tuned global distribution dataset of marine forests

Detalhes bibliográficos
Autor(a) principal: Assis, J.
Data de Publicação: 2020
Outros Autores: Fragkopoulou, Eliza, Frade, Duarte, Neiva, J., Oliveira, André, Abecasis, David, Faugeron, Sylvain, Serrao, Ester
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/13882
Resumo: Species distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to signal potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. We document the procedure and provide a dataset in tabular format based on Darwin Core Standard (DwC), alongside with a set of functions in R language for data management and visualization.
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spelling A fine-tuned global distribution dataset of marine forestsSpecies-range shiftsPlatformClimate-changeCoastalHabitatDiversitySpecies distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to signal potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. We document the procedure and provide a dataset in tabular format based on Darwin Core Standard (DwC), alongside with a set of functions in R language for data management and visualization.FCT: (SFRH/BPD/111003/2015) / (SFRH/BSAB/150485/2019) / (SFRH/BD/144878/2019)(PTDC/MAREST/6053/2014) / MARFOR (BIODIVERSA/004/2015) / UIDB/04326/2020Nature ResearchSapientiaAssis, J.Fragkopoulou, ElizaFrade, DuarteNeiva, J.Oliveira, AndréAbecasis, DavidFaugeron, SylvainSerrao, Ester2020-05-13T09:40:07Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/13882eng2052-446310.1038/s41597-020-0459-xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:26:05Zoai:sapientia.ualg.pt:10400.1/13882Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:04:59.623656Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A fine-tuned global distribution dataset of marine forests
title A fine-tuned global distribution dataset of marine forests
spellingShingle A fine-tuned global distribution dataset of marine forests
Assis, J.
Species-range shifts
Platform
Climate-change
Coastal
Habitat
Diversity
title_short A fine-tuned global distribution dataset of marine forests
title_full A fine-tuned global distribution dataset of marine forests
title_fullStr A fine-tuned global distribution dataset of marine forests
title_full_unstemmed A fine-tuned global distribution dataset of marine forests
title_sort A fine-tuned global distribution dataset of marine forests
author Assis, J.
author_facet Assis, J.
Fragkopoulou, Eliza
Frade, Duarte
Neiva, J.
Oliveira, André
Abecasis, David
Faugeron, Sylvain
Serrao, Ester
author_role author
author2 Fragkopoulou, Eliza
Frade, Duarte
Neiva, J.
Oliveira, André
Abecasis, David
Faugeron, Sylvain
Serrao, Ester
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Assis, J.
Fragkopoulou, Eliza
Frade, Duarte
Neiva, J.
Oliveira, André
Abecasis, David
Faugeron, Sylvain
Serrao, Ester
dc.subject.por.fl_str_mv Species-range shifts
Platform
Climate-change
Coastal
Habitat
Diversity
topic Species-range shifts
Platform
Climate-change
Coastal
Habitat
Diversity
description Species distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to signal potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. We document the procedure and provide a dataset in tabular format based on Darwin Core Standard (DwC), alongside with a set of functions in R language for data management and visualization.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-13T09:40:07Z
2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/13882
url http://hdl.handle.net/10400.1/13882
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2052-4463
10.1038/s41597-020-0459-x
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dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
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