A global diatom database - abundance, 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to compile the largest possible body of data available from different databases as well as from individual published or unpublished datasets regarding dia...

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Published in:Earth System Science Data
Main Authors: Leblanc, K., Aristegui, J., Armand, L., Assmy, P., Beker, B., Bode, A., Breton, E., Cornet, V., Gibson, J., Gosselin, M.-P., Kopczynska, E., Marshall, H., Peloquin, J., Piontkovski, S., Poulton, A. J., Queguiner, B., Schiebel, R., Shipe, R., Stefels, J., van Leeuwe, M. A., Varela, M., Widdicombe, C., Yallop, M.
Format: Article in Journal/Newspaper
Language:English
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/11370/875d057b-a32e-4f79-bb3c-1936363cd5e9
https://research.rug.nl/en/publications/875d057b-a32e-4f79-bb3c-1936363cd5e9
https://doi.org/10.5194/essd-4-149-2012
https://pure.rug.nl/ws/files/64309026/essd_4_149_2012_1_.pdf
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spelling ftunigroningenpu:oai:pure.rug.nl:publications/875d057b-a32e-4f79-bb3c-1936363cd5e9 2024-06-02T08:02:53+00:00 A global diatom database - abundance, biovolume and biomass in the world ocean Leblanc, K. Aristegui, J. Armand, L. Assmy, P. Beker, B. Bode, A. Breton, E. Cornet, V. Gibson, J. Gosselin, M.-P. Kopczynska, E. Marshall, H. Peloquin, J. Piontkovski, S. Poulton, A. J. Queguiner, B. Schiebel, R. Shipe, R. Stefels, J. van Leeuwe, M. A. Varela, M. Widdicombe, C. Yallop, M. 2012 application/pdf https://hdl.handle.net/11370/875d057b-a32e-4f79-bb3c-1936363cd5e9 https://research.rug.nl/en/publications/875d057b-a32e-4f79-bb3c-1936363cd5e9 https://doi.org/10.5194/essd-4-149-2012 https://pure.rug.nl/ws/files/64309026/essd_4_149_2012_1_.pdf eng eng https://research.rug.nl/en/publications/875d057b-a32e-4f79-bb3c-1936363cd5e9 info:eu-repo/semantics/openAccess Leblanc , K , Aristegui , J , Armand , L , Assmy , P , Beker , B , Bode , A , Breton , E , Cornet , V , Gibson , J , Gosselin , M-P , Kopczynska , E , Marshall , H , Peloquin , J , Piontkovski , S , Poulton , A J , Queguiner , B , Schiebel , R , Shipe , R , Stefels , J , van Leeuwe , M A , Varela , M , Widdicombe , C & Yallop , M 2012 , ' A global diatom database - abundance, biovolume and biomass in the world ocean ' , Earth System Science Data , vol. 4 , no. 1 , pp. 149-165 . https://doi.org/10.5194/essd-4-149-2012 SILICA PRODUCTION SOUTHERN-OCEAN MEDITERRANEAN-SEA BIOGENIC SILICA MARINE-PHYTOPLANKTON MATTER DISTRIBUTION PRODUCTION-RATES NORTH PACIFIC SPRING BLOOM CELL-VOLUME article 2012 ftunigroningenpu https://doi.org/10.5194/essd-4-149-2012 2024-05-07T20:21:22Z 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 University of Groningen research database Arctic Indian Pacific Southern Ocean Earth System Science Data 4 1 149 165
institution Open Polar
collection University of Groningen research database
op_collection_id ftunigroningenpu
language English
topic SILICA PRODUCTION
SOUTHERN-OCEAN
MEDITERRANEAN-SEA
BIOGENIC SILICA
MARINE-PHYTOPLANKTON
MATTER DISTRIBUTION
PRODUCTION-RATES
NORTH PACIFIC
SPRING BLOOM
CELL-VOLUME
spellingShingle SILICA PRODUCTION
SOUTHERN-OCEAN
MEDITERRANEAN-SEA
BIOGENIC SILICA
MARINE-PHYTOPLANKTON
MATTER DISTRIBUTION
PRODUCTION-RATES
NORTH PACIFIC
SPRING BLOOM
CELL-VOLUME
Leblanc, K.
Aristegui, J.
Armand, L.
Assmy, P.
Beker, B.
Bode, A.
Breton, E.
Cornet, V.
Gibson, J.
Gosselin, M.-P.
Kopczynska, E.
Marshall, H.
Peloquin, J.
Piontkovski, S.
Poulton, A. J.
Queguiner, B.
Schiebel, R.
Shipe, R.
Stefels, J.
van Leeuwe, M. A.
Varela, M.
Widdicombe, C.
Yallop, M.
A global diatom database - abundance, biovolume and biomass in the world ocean
topic_facet 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 ...
format Article in Journal/Newspaper
author Leblanc, K.
Aristegui, J.
Armand, L.
Assmy, P.
Beker, B.
Bode, A.
Breton, E.
Cornet, V.
Gibson, J.
Gosselin, M.-P.
Kopczynska, E.
Marshall, H.
Peloquin, J.
Piontkovski, S.
Poulton, A. J.
Queguiner, B.
Schiebel, R.
Shipe, R.
Stefels, J.
van Leeuwe, M. A.
Varela, M.
Widdicombe, C.
Yallop, M.
author_facet Leblanc, K.
Aristegui, J.
Armand, L.
Assmy, P.
Beker, B.
Bode, A.
Breton, E.
Cornet, V.
Gibson, J.
Gosselin, M.-P.
Kopczynska, E.
Marshall, H.
Peloquin, J.
Piontkovski, S.
Poulton, A. J.
Queguiner, B.
Schiebel, R.
Shipe, R.
Stefels, J.
van Leeuwe, M. A.
Varela, M.
Widdicombe, C.
Yallop, M.
author_sort Leblanc, K.
title A global diatom database - abundance, biovolume and biomass in the world ocean
title_short A global diatom database - abundance, biovolume and biomass in the world ocean
title_full A global diatom database - abundance, biovolume and biomass in the world ocean
title_fullStr A global diatom database - abundance, biovolume and biomass in the world ocean
title_full_unstemmed A global diatom database - abundance, biovolume and biomass in the world ocean
title_sort global diatom database - abundance, biovolume and biomass in the world ocean
publishDate 2012
url https://hdl.handle.net/11370/875d057b-a32e-4f79-bb3c-1936363cd5e9
https://research.rug.nl/en/publications/875d057b-a32e-4f79-bb3c-1936363cd5e9
https://doi.org/10.5194/essd-4-149-2012
https://pure.rug.nl/ws/files/64309026/essd_4_149_2012_1_.pdf
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 Leblanc , K , Aristegui , J , Armand , L , Assmy , P , Beker , B , Bode , A , Breton , E , Cornet , V , Gibson , J , Gosselin , M-P , Kopczynska , E , Marshall , H , Peloquin , J , Piontkovski , S , Poulton , A J , Queguiner , B , Schiebel , R , Shipe , R , Stefels , J , van Leeuwe , M A , Varela , M , Widdicombe , C & Yallop , M 2012 , ' A global diatom database - abundance, biovolume and biomass in the world ocean ' , Earth System Science Data , vol. 4 , no. 1 , pp. 149-165 . https://doi.org/10.5194/essd-4-149-2012
op_relation https://research.rug.nl/en/publications/875d057b-a32e-4f79-bb3c-1936363cd5e9
op_rights info:eu-repo/semantics/openAccess
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
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