Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean
The Southern Ocean is a productive and biodiverse region, but it is also threatened by anthropogenic pressures. Protecting the Southern Ocean should start with well-informed Marine Ecosystem Assessments of the Southern Ocean (MEASO) being performed, a process that will require biodiversity data. In...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2023.1150603/full |
| _version_ | 1797798472011743232 |
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| author | Anne-Sophie Bonnet-Lebrun Maxime Sweetlove Huw J. Griffiths Michael Sumner Michael Sumner Pieter Provoost Ben Raymond Ben Raymond Yan Ropert-Coudert Anton P. Van de Putte Anton P. Van de Putte |
| author_facet | Anne-Sophie Bonnet-Lebrun Maxime Sweetlove Huw J. Griffiths Michael Sumner Michael Sumner Pieter Provoost Ben Raymond Ben Raymond Yan Ropert-Coudert Anton P. Van de Putte Anton P. Van de Putte |
| author_sort | Anne-Sophie Bonnet-Lebrun |
| collection | DOAJ |
| description | The Southern Ocean is a productive and biodiverse region, but it is also threatened by anthropogenic pressures. Protecting the Southern Ocean should start with well-informed Marine Ecosystem Assessments of the Southern Ocean (MEASO) being performed, a process that will require biodiversity data. In this context, open geospatial biodiversity databases such as OBIS and GBIF provide good avenues, through aggregated geo-referenced taxon locations. However, like most aggregated databases, these might suffer from sampling biases, which may hinder their usability for a MEASO. Here, we assess the quality and distribution of OBIS and GBIF data in the context of a MEASO. We found strong spatial, temporal and taxonomic biases in these data, with several biases likely emerging from the remoteness and inaccessibility of the Southern Ocean (e.g., lack of data in the dark and ice-covered winter, most data describing charismatic or well-known taxa, and most data along ship routes between research stations and neighboring continents). Our identification of sampling biases helps us provide practical recommendations for future data collection, mobilization, and analyses. |
| first_indexed | 2024-03-13T04:04:13Z |
| format | Article |
| id | doaj.art-6966830010c540e7a4a115cc38b91840 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-03-13T04:04:13Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-6966830010c540e7a4a115cc38b918402023-06-21T08:40:54ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452023-06-011010.3389/fmars.2023.11506031150603Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern OceanAnne-Sophie Bonnet-Lebrun0Maxime Sweetlove1Huw J. Griffiths2Michael Sumner3Michael Sumner4Pieter Provoost5Ben Raymond6Ben Raymond7Yan Ropert-Coudert8Anton P. Van de Putte9Anton P. Van de Putte10Centre d’Études Biologiques de Chizé, CNRS - La Rochelle Université, Villiers-en-Bois, FranceRoyal Belgian Institute for Natural Sciences, OD-Nature, Brussels, BelgiumBritish Antarctic Survey, Cambridge, United KingdomAustralian Antarctic Division, Integrated Digital East Antarctica Program, Department of Climate Change, Energy, The Environment and Water, Kingston, TAS, AustraliaInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, AustraliaIOC Project Office for IODE, Intergovernmental Oceanographic Commission of UNESCO, Oostende, BelgiumAustralian Antarctic Division, Integrated Digital East Antarctica Program, Department of Climate Change, Energy, The Environment and Water, Kingston, TAS, AustraliaInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, AustraliaCentre d’Études Biologiques de Chizé, CNRS - La Rochelle Université, Villiers-en-Bois, FranceRoyal Belgian Institute for Natural Sciences, OD-Nature, Brussels, BelgiumMarine Biology Lab, Université Libre de Bruxelles, Brussels, BelgiumThe Southern Ocean is a productive and biodiverse region, but it is also threatened by anthropogenic pressures. Protecting the Southern Ocean should start with well-informed Marine Ecosystem Assessments of the Southern Ocean (MEASO) being performed, a process that will require biodiversity data. In this context, open geospatial biodiversity databases such as OBIS and GBIF provide good avenues, through aggregated geo-referenced taxon locations. However, like most aggregated databases, these might suffer from sampling biases, which may hinder their usability for a MEASO. Here, we assess the quality and distribution of OBIS and GBIF data in the context of a MEASO. We found strong spatial, temporal and taxonomic biases in these data, with several biases likely emerging from the remoteness and inaccessibility of the Southern Ocean (e.g., lack of data in the dark and ice-covered winter, most data describing charismatic or well-known taxa, and most data along ship routes between research stations and neighboring continents). Our identification of sampling biases helps us provide practical recommendations for future data collection, mobilization, and analyses.https://www.frontiersin.org/articles/10.3389/fmars.2023.1150603/fullOBISGBIFsampling biasbiodiversity dataspatial biastemporal bias |
| spellingShingle | Anne-Sophie Bonnet-Lebrun Maxime Sweetlove Huw J. Griffiths Michael Sumner Michael Sumner Pieter Provoost Ben Raymond Ben Raymond Yan Ropert-Coudert Anton P. Van de Putte Anton P. Van de Putte Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean Frontiers in Marine Science OBIS GBIF sampling bias biodiversity data spatial bias temporal bias |
| title | Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean |
| title_full | Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean |
| title_fullStr | Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean |
| title_full_unstemmed | Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean |
| title_short | Opportunities and limitations of large open biodiversity occurrence databases in the context of a Marine Ecosystem Assessment of the Southern Ocean |
| title_sort | opportunities and limitations of large open biodiversity occurrence databases in the context of a marine ecosystem assessment of the southern ocean |
| topic | OBIS GBIF sampling bias biodiversity data spatial bias temporal bias |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2023.1150603/full |
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