A global diatom database- A bundance, biovolume and biomass in the world ocean
Phytoplankton identification and abundance data are now commonly feeding plankton distribution databases worldwide. This study is a first attempt to compile the largest possible body of data available from different databases as well as from individual published or unpublished datasets regarding dia...
Published in: | Earth System Science Data |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2012
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Online Access: | http://hdl.handle.net/10553/54988 https://doi.org/10.5194/essd-4-149-2012 |
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ftunivlaspalmas:oai:accedacris.ulpgc.es:10553/54988 2024-02-11T10:01:48+01:00 A global diatom database- A bundance, biovolume and biomass in the world ocean Leblanc, Karine Arístegui, J. Armand, Leanne Assmy, Phillip Beker, Beatriz Bode, Antonio Breton, Elsa Cornet, Veronique Gibson, John Gosselin, Marie-Pierre Kopczynska, Elzbieta E. Marshall, Harold Peloquin, Jill Piontkovski, Serge Poulton, Alex J. Quéguiner, Bernard Schiebel, Ralf Shipe, Rebecca Stefels, Jacqueline Van Leeuwe, Maria A. Varela, Manuel Widdicombe, Claire Yallop, Mirian 56266098300 7006816204 6603644030 9244763800 23134374800 7101850601 6603928227 57190216756 7403389372 57204915868 6701319236 7102515850 22935537000 6602165194 6701523871 6701553591 57203352997 6603076071 6603379483 6602108902 8682769000 6507959291 6603614220 591906 227201 790416 1069259 28169427 424287 2163511 3885239 914241 3693483 2027636 169294 2324623 1083040 494570 647783 573157 2881767 875470 1388100 362141 1133119 998588 WOS:Leblanc, K WOS:Aristegui, J WOS:Armand, L WOS:Assmy, P 2012 http://hdl.handle.net/10553/54988 https://doi.org/10.5194/essd-4-149-2012 eng eng Earth System Science Data 4 1866-3508 http://hdl.handle.net/10553/54988 doi:10.5194/essd-4-149-2012 85057810410 000209415300014 Sí Earth System Science Data [ISSN 1866-3508], v. 4, p. 149-165 2510 Oceanografía Silica Production Southern-Ocean Mediterranean-Sea Biogenic Silica Marine-Phytoplankton Matter Distribution Production-Rates North Pacific Spring Bloom Cell-Volume info:eu-repo/semantics/Article Article 2012 ftunivlaspalmas https://doi.org/10.5194/essd-4-149-2012 2024-01-17T00:18:24Z Phytoplankton identification and abundance data are now commonly feeding plankton distribution databases worldwide. This study is a first attempt to compile the largest possible body of data available from different databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Model Inter-Comparison Project (MAREMIP), which aims at building consistent datasets for the main plankton functional types (PFTs) in order to help validate biogeochemical ocean models by using carbon (C) biomass derived from abundance data. In this study we collected over 293 000 individual geo-referenced data points with diatom abundances from bottle and net sampling. Sampling site distribution was not homogeneous, with 58% of data in the Atlantic, 20% in the Arctic, 12% in the Pacific, 8% in the Indian and 1% in the Southern Ocean. A total of 136 different genera and 607 different species were identified after spell checking and name correction. Only a small fraction of these data were also documented for biovolumes and an even smaller fraction was converted to C biomass. As it is virtually impossible to reconstruct everyone's method for biovolume calculation, which is usually not indicated in the datasets, we decided to undertake the effort to document, for every distinct species, the minimum and maximum cell dimensions, and to convert all the available abundance data into biovolumes and C biomass using a single standardized method. Statistical correction of the database was also adopted to exclude potential outliers and suspicious data points. The final database contains 90 648 data points with converted C biomass. Diatom C biomass calculated from cell sizes spans over eight orders of magnitude. The mean diatom biomass for individual locations, dates and depths is 141.19 mu g Cl-1, while the median value is 11.16 mu g Cl-1. Regarding biomass ... Article in Journal/Newspaper Arctic Phytoplankton Southern Ocean Universidad de Las Palmas de Gran Canaria: Acceda Arctic Indian Pacific Southern Ocean Earth System Science Data 4 1 149 165 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
2510 Oceanografía Silica Production Southern-Ocean Mediterranean-Sea Biogenic Silica Marine-Phytoplankton Matter Distribution Production-Rates North Pacific Spring Bloom Cell-Volume |
spellingShingle |
2510 Oceanografía Silica Production Southern-Ocean Mediterranean-Sea Biogenic Silica Marine-Phytoplankton Matter Distribution Production-Rates North Pacific Spring Bloom Cell-Volume Leblanc, Karine Arístegui, J. Armand, Leanne Assmy, Phillip Beker, Beatriz Bode, Antonio Breton, Elsa Cornet, Veronique Gibson, John Gosselin, Marie-Pierre Kopczynska, Elzbieta E. Marshall, Harold Peloquin, Jill Piontkovski, Serge Poulton, Alex J. Quéguiner, Bernard Schiebel, Ralf Shipe, Rebecca Stefels, Jacqueline Van Leeuwe, Maria A. Varela, Manuel Widdicombe, Claire Yallop, Mirian A global diatom database- A bundance, biovolume and biomass in the world ocean |
topic_facet |
2510 Oceanografía Silica Production Southern-Ocean Mediterranean-Sea Biogenic Silica Marine-Phytoplankton Matter Distribution Production-Rates North Pacific Spring Bloom Cell-Volume |
description |
Phytoplankton identification and abundance data are now commonly feeding plankton distribution databases worldwide. This study is a first attempt to compile the largest possible body of data available from different databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Model Inter-Comparison Project (MAREMIP), which aims at building consistent datasets for the main plankton functional types (PFTs) in order to help validate biogeochemical ocean models by using carbon (C) biomass derived from abundance data. In this study we collected over 293 000 individual geo-referenced data points with diatom abundances from bottle and net sampling. Sampling site distribution was not homogeneous, with 58% of data in the Atlantic, 20% in the Arctic, 12% in the Pacific, 8% in the Indian and 1% in the Southern Ocean. A total of 136 different genera and 607 different species were identified after spell checking and name correction. Only a small fraction of these data were also documented for biovolumes and an even smaller fraction was converted to C biomass. As it is virtually impossible to reconstruct everyone's method for biovolume calculation, which is usually not indicated in the datasets, we decided to undertake the effort to document, for every distinct species, the minimum and maximum cell dimensions, and to convert all the available abundance data into biovolumes and C biomass using a single standardized method. Statistical correction of the database was also adopted to exclude potential outliers and suspicious data points. The final database contains 90 648 data points with converted C biomass. Diatom C biomass calculated from cell sizes spans over eight orders of magnitude. The mean diatom biomass for individual locations, dates and depths is 141.19 mu g Cl-1, while the median value is 11.16 mu g Cl-1. Regarding biomass ... |
author2 |
56266098300 7006816204 6603644030 9244763800 23134374800 7101850601 6603928227 57190216756 7403389372 57204915868 6701319236 7102515850 22935537000 6602165194 6701523871 6701553591 57203352997 6603076071 6603379483 6602108902 8682769000 6507959291 6603614220 591906 227201 790416 1069259 28169427 424287 2163511 3885239 914241 3693483 2027636 169294 2324623 1083040 494570 647783 573157 2881767 875470 1388100 362141 1133119 998588 WOS:Leblanc, K WOS:Aristegui, J WOS:Armand, L WOS:Assmy, P |
format |
Article in Journal/Newspaper |
author |
Leblanc, Karine Arístegui, J. Armand, Leanne Assmy, Phillip Beker, Beatriz Bode, Antonio Breton, Elsa Cornet, Veronique Gibson, John Gosselin, Marie-Pierre Kopczynska, Elzbieta E. Marshall, Harold Peloquin, Jill Piontkovski, Serge Poulton, Alex J. Quéguiner, Bernard Schiebel, Ralf Shipe, Rebecca Stefels, Jacqueline Van Leeuwe, Maria A. Varela, Manuel Widdicombe, Claire Yallop, Mirian |
author_facet |
Leblanc, Karine Arístegui, J. Armand, Leanne Assmy, Phillip Beker, Beatriz Bode, Antonio Breton, Elsa Cornet, Veronique Gibson, John Gosselin, Marie-Pierre Kopczynska, Elzbieta E. Marshall, Harold Peloquin, Jill Piontkovski, Serge Poulton, Alex J. Quéguiner, Bernard Schiebel, Ralf Shipe, Rebecca Stefels, Jacqueline Van Leeuwe, Maria A. Varela, Manuel Widdicombe, Claire Yallop, Mirian |
author_sort |
Leblanc, Karine |
title |
A global diatom database- A bundance, biovolume and biomass in the world ocean |
title_short |
A global diatom database- A bundance, biovolume and biomass in the world ocean |
title_full |
A global diatom database- A bundance, biovolume and biomass in the world ocean |
title_fullStr |
A global diatom database- A bundance, biovolume and biomass in the world ocean |
title_full_unstemmed |
A global diatom database- A bundance, biovolume and biomass in the world ocean |
title_sort |
global diatom database- a bundance, biovolume and biomass in the world ocean |
publishDate |
2012 |
url |
http://hdl.handle.net/10553/54988 https://doi.org/10.5194/essd-4-149-2012 |
geographic |
Arctic Indian Pacific Southern Ocean |
geographic_facet |
Arctic Indian Pacific Southern Ocean |
genre |
Arctic Phytoplankton Southern Ocean |
genre_facet |
Arctic Phytoplankton Southern Ocean |
op_source |
Earth System Science Data [ISSN 1866-3508], v. 4, p. 149-165 |
op_relation |
Earth System Science Data 4 1866-3508 http://hdl.handle.net/10553/54988 doi:10.5194/essd-4-149-2012 85057810410 000209415300014 Sí |
op_doi |
https://doi.org/10.5194/essd-4-149-2012 |
container_title |
Earth System Science Data |
container_volume |
4 |
container_issue |
1 |
container_start_page |
149 |
op_container_end_page |
165 |
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1790597597979738112 |