Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes

The general aim of setting up a central database on benthos and plankton was to integrate long-, medium- and short-term datasets on marine biodiversity. Such a database makes it possible to analyse species assemblages and their changes on spatial and temporal scales across Europe. Data collation las...

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Published in:Hydrobiologia
Main Authors: Vandepitte L, Vanhoorne B, Kraberg A, Anisimova N, Antoniadou C, Araújo R, Bartsch I, Beker B, Benedetti-Cecchi L, Bertocci I, Cochrane S, Cooper K, Craeymeersch J, Christou E, Crisp DJ, Dahle S, de Boissier M, de Kluijver M, Denisenko S, De Vito D, Duineveld G, Escaravage V, Fleischer D, Fraschetti S, Giangrande A, Heip C, Hummel H, Janas U, Karez R, Kedra M, Kingston P, Kuhlenkamp R, Libes M, Martens P, Mees J, Mieszkowska N, Mudrak S, Munda I, Orfanidis S, Orlando-Bonaca M, Palerud R, Rachor E, Reichert K, Rumohr H, Schiedek D, Schubert P, Sistermans WCH, Sousa Pinto I, Southward AJ, Terlizzi A, Tsiaga E, van Beusekom J, Vanden Berghe E, Warzocha J, Wasmund N, Weslawski JM, Widdicombe C, Wlodarska-Kowalczuk M, Zettler ML
Other Authors: Vandepitte, L, Vanhoorne, B, Kraberg, A, Anisimova, N, Antoniadou, C, Araújo, R, Bartsch, I, Beker, B, Benedetti-Cecchi, L, Bertocci, I, Cochrane, S, Cooper, K, Craeymeersch, J, Christou, E, Crisp, Dj, Dahle, S, de Boissier, M, de Kluijver, M, Denisenko, S, De Vito, D, Duineveld, G, Escaravage, V, Fleischer, D, Fraschetti, S, Giangrande, A, Heip, C, Hummel, H, Janas, U, Karez, R, Kedra, M, Kingston, P, Kuhlenkamp, R, Libes, M, Martens, P, Mees, J, Mieszkowska, N, Mudrak, S, Munda, I, Orfanidis, S, Orlando-Bonaca, M, Palerud, R, Rachor, E, Reichert, K, Rumohr, H, Schiedek, D, Schubert, P, Sistermans, Wch, Sousa Pinto, I, Southward, Aj, Terlizzi, A
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/11568/943043
https://doi.org/10.1007/s10750-010-0108-z
https://link.springer.com/article/10.1007/s10750-010-0108-z
id ftunivpisairis:oai:arpi.unipi.it:11568/943043
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spelling ftunivpisairis:oai:arpi.unipi.it:11568/943043 2024-04-14T08:08:22+00:00 Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes Vandepitte L Vanhoorne B Kraberg A Anisimova N Antoniadou C Araújo R Bartsch I Beker B Benedetti-Cecchi L Bertocci I Cochrane S Cooper K Craeymeersch J Christou E Crisp DJ Dahle S de Boissier M de Kluijver M Denisenko S De Vito D Duineveld G Escaravage V Fleischer D Fraschetti S Giangrande A Heip C Hummel H Janas U Karez R Kedra M Kingston P Kuhlenkamp R Libes M Martens P Mees J Mieszkowska N Mudrak S Munda I Orfanidis S Orlando-Bonaca M Palerud R Rachor E Reichert K Rumohr H Schiedek D Schubert P Sistermans WCH Sousa Pinto I Southward AJ Terlizzi A Tsiaga E van Beusekom J Vanden Berghe E Warzocha J Wasmund N Weslawski JM Widdicombe C Wlodarska-Kowalczuk M Zettler ML Vandepitte, L Vanhoorne, B Kraberg, A Anisimova, N Antoniadou, C Araújo, R Bartsch, I Beker, B Benedetti-Cecchi, L Bertocci, I Cochrane, S Cooper, K Craeymeersch, J Christou, E Crisp, Dj Dahle, S de Boissier, M de Kluijver, M Denisenko, S De Vito, D Duineveld, G Escaravage, V Fleischer, D Fraschetti, S Giangrande, A Heip, C Hummel, H Janas, U Karez, R Kedra, M Kingston, P Kuhlenkamp, R Libes, M Martens, P Mees, J Mieszkowska, N Mudrak, S Munda, I Orfanidis, S Orlando-Bonaca, M Palerud, R Rachor, E Reichert, K Rumohr, H Schiedek, D Schubert, P Sistermans, Wch Sousa Pinto, I Southward, Aj Terlizzi, A 2010 http://hdl.handle.net/11568/943043 https://doi.org/10.1007/s10750-010-0108-z https://link.springer.com/article/10.1007/s10750-010-0108-z eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000276071600001 volume:644 issue:1 firstpage:1 lastpage:13 numberofpages:13 journal:HYDROBIOLOGIA http://hdl.handle.net/11568/943043 doi:10.1007/s10750-010-0108-z info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-75549090582 https://link.springer.com/article/10.1007/s10750-010-0108-z Macrobenthos Plankton Data acquisition Quality control Biogeography info:eu-repo/semantics/article 2010 ftunivpisairis https://doi.org/10.1007/s10750-010-0108-z 2024-03-21T19:07:21Z The general aim of setting up a central database on benthos and plankton was to integrate long-, medium- and short-term datasets on marine biodiversity. Such a database makes it possible to analyse species assemblages and their changes on spatial and temporal scales across Europe. Data collation lasted from early 2007 until August 2008, during which 67 datasets were collected covering three divergent habitats (rocky shores, soft bottoms and the pelagic environment). The database contains a total of 4,525 distinct taxa, 17,117 unique sampling locations and over 45,500 collected samples, representing almost 542,000 distribution records. The database geographically covers the North Sea (221,452 distribution records), the North-East Atlantic (98,796 distribution records) and furthermore the Baltic Sea, the Arctic and the Mediterranean. Data from 1858 to 2008 are presented in the database, with the longest time-series from the Baltic Sea soft bottom benthos. Each delivered dataset was subjected to certain quality control procedures, especially on the level of taxonomy. The standardisation procedure enables pan-European analyses without the hazard of taxonomic artefacts resulting from different determination skills. A case study on rocky shore and pelagic data in different geographical regions shows a general overestimation of biodiversity when making use of data before quality control compared to the same estimations after quality control. These results prove that the contribution of a misspelled name or the use of an obsolete synonym is comparable to the introduction of a rare species, having adverse effects on further diversity calculations. The quality checked data source is now ready to test geographical and temporal hypotheses on a large scale. Article in Journal/Newspaper Arctic North East Atlantic ARPI - Archivio della Ricerca dell'Università di Pisa Arctic Hydrobiologia 644 1 1 13
institution Open Polar
collection ARPI - Archivio della Ricerca dell'Università di Pisa
op_collection_id ftunivpisairis
language English
topic Macrobenthos
Plankton
Data acquisition
Quality control
Biogeography
spellingShingle Macrobenthos
Plankton
Data acquisition
Quality control
Biogeography
Vandepitte L
Vanhoorne B
Kraberg A
Anisimova N
Antoniadou C
Araújo R
Bartsch I
Beker B
Benedetti-Cecchi L
Bertocci I
Cochrane S
Cooper K
Craeymeersch J
Christou E
Crisp DJ
Dahle S
de Boissier M
de Kluijver M
Denisenko S
De Vito D
Duineveld G
Escaravage V
Fleischer D
Fraschetti S
Giangrande A
Heip C
Hummel H
Janas U
Karez R
Kedra M
Kingston P
Kuhlenkamp R
Libes M
Martens P
Mees J
Mieszkowska N
Mudrak S
Munda I
Orfanidis S
Orlando-Bonaca M
Palerud R
Rachor E
Reichert K
Rumohr H
Schiedek D
Schubert P
Sistermans WCH
Sousa Pinto I
Southward AJ
Terlizzi A
Tsiaga E
van Beusekom J
Vanden Berghe E
Warzocha J
Wasmund N
Weslawski JM
Widdicombe C
Wlodarska-Kowalczuk M
Zettler ML
Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
topic_facet Macrobenthos
Plankton
Data acquisition
Quality control
Biogeography
description The general aim of setting up a central database on benthos and plankton was to integrate long-, medium- and short-term datasets on marine biodiversity. Such a database makes it possible to analyse species assemblages and their changes on spatial and temporal scales across Europe. Data collation lasted from early 2007 until August 2008, during which 67 datasets were collected covering three divergent habitats (rocky shores, soft bottoms and the pelagic environment). The database contains a total of 4,525 distinct taxa, 17,117 unique sampling locations and over 45,500 collected samples, representing almost 542,000 distribution records. The database geographically covers the North Sea (221,452 distribution records), the North-East Atlantic (98,796 distribution records) and furthermore the Baltic Sea, the Arctic and the Mediterranean. Data from 1858 to 2008 are presented in the database, with the longest time-series from the Baltic Sea soft bottom benthos. Each delivered dataset was subjected to certain quality control procedures, especially on the level of taxonomy. The standardisation procedure enables pan-European analyses without the hazard of taxonomic artefacts resulting from different determination skills. A case study on rocky shore and pelagic data in different geographical regions shows a general overestimation of biodiversity when making use of data before quality control compared to the same estimations after quality control. These results prove that the contribution of a misspelled name or the use of an obsolete synonym is comparable to the introduction of a rare species, having adverse effects on further diversity calculations. The quality checked data source is now ready to test geographical and temporal hypotheses on a large scale.
author2 Vandepitte, L
Vanhoorne, B
Kraberg, A
Anisimova, N
Antoniadou, C
Araújo, R
Bartsch, I
Beker, B
Benedetti-Cecchi, L
Bertocci, I
Cochrane, S
Cooper, K
Craeymeersch, J
Christou, E
Crisp, Dj
Dahle, S
de Boissier, M
de Kluijver, M
Denisenko, S
De Vito, D
Duineveld, G
Escaravage, V
Fleischer, D
Fraschetti, S
Giangrande, A
Heip, C
Hummel, H
Janas, U
Karez, R
Kedra, M
Kingston, P
Kuhlenkamp, R
Libes, M
Martens, P
Mees, J
Mieszkowska, N
Mudrak, S
Munda, I
Orfanidis, S
Orlando-Bonaca, M
Palerud, R
Rachor, E
Reichert, K
Rumohr, H
Schiedek, D
Schubert, P
Sistermans, Wch
Sousa Pinto, I
Southward, Aj
Terlizzi, A
format Article in Journal/Newspaper
author Vandepitte L
Vanhoorne B
Kraberg A
Anisimova N
Antoniadou C
Araújo R
Bartsch I
Beker B
Benedetti-Cecchi L
Bertocci I
Cochrane S
Cooper K
Craeymeersch J
Christou E
Crisp DJ
Dahle S
de Boissier M
de Kluijver M
Denisenko S
De Vito D
Duineveld G
Escaravage V
Fleischer D
Fraschetti S
Giangrande A
Heip C
Hummel H
Janas U
Karez R
Kedra M
Kingston P
Kuhlenkamp R
Libes M
Martens P
Mees J
Mieszkowska N
Mudrak S
Munda I
Orfanidis S
Orlando-Bonaca M
Palerud R
Rachor E
Reichert K
Rumohr H
Schiedek D
Schubert P
Sistermans WCH
Sousa Pinto I
Southward AJ
Terlizzi A
Tsiaga E
van Beusekom J
Vanden Berghe E
Warzocha J
Wasmund N
Weslawski JM
Widdicombe C
Wlodarska-Kowalczuk M
Zettler ML
author_facet Vandepitte L
Vanhoorne B
Kraberg A
Anisimova N
Antoniadou C
Araújo R
Bartsch I
Beker B
Benedetti-Cecchi L
Bertocci I
Cochrane S
Cooper K
Craeymeersch J
Christou E
Crisp DJ
Dahle S
de Boissier M
de Kluijver M
Denisenko S
De Vito D
Duineveld G
Escaravage V
Fleischer D
Fraschetti S
Giangrande A
Heip C
Hummel H
Janas U
Karez R
Kedra M
Kingston P
Kuhlenkamp R
Libes M
Martens P
Mees J
Mieszkowska N
Mudrak S
Munda I
Orfanidis S
Orlando-Bonaca M
Palerud R
Rachor E
Reichert K
Rumohr H
Schiedek D
Schubert P
Sistermans WCH
Sousa Pinto I
Southward AJ
Terlizzi A
Tsiaga E
van Beusekom J
Vanden Berghe E
Warzocha J
Wasmund N
Weslawski JM
Widdicombe C
Wlodarska-Kowalczuk M
Zettler ML
author_sort Vandepitte L
title Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
title_short Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
title_full Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
title_fullStr Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
title_full_unstemmed Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
title_sort data integration for european marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes
publishDate 2010
url http://hdl.handle.net/11568/943043
https://doi.org/10.1007/s10750-010-0108-z
https://link.springer.com/article/10.1007/s10750-010-0108-z
geographic Arctic
geographic_facet Arctic
genre Arctic
North East Atlantic
genre_facet Arctic
North East Atlantic
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000276071600001
volume:644
issue:1
firstpage:1
lastpage:13
numberofpages:13
journal:HYDROBIOLOGIA
http://hdl.handle.net/11568/943043
doi:10.1007/s10750-010-0108-z
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-75549090582
https://link.springer.com/article/10.1007/s10750-010-0108-z
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container_title Hydrobiologia
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