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LargeNet database

Gearchiveerde data

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Beschikbaarheid: De data kan beschikbaar gesteld worden na goedkeuring van de data provider, gelieve contact op te nemen met data@vliz.be.

Nota: Restrictions apply to some or all of the data

Beschrijving
The LargeNet database is an integrated database on European marine biodiversity covering soft bottoms, rocky shores and the pelagic. Up to date, 46 datasets covering these three habitats have been collected. This dataset has been compiled under the MarBEF European Network of Excellence. meer

This database is the result of the integration of more than 40 smaller datasets, collected under the MarBEF European Network of Excellence. It contains information on macrofauna in general, covering both soft and rocky bottoms. There are also a number of pelagic datasets available. There is also a lot of information available on environmental variables, as well as information on biomass. All these data will be analysed together, in order to investigate large scale and long term networking on the observation of global change and its impact on marine biodiversity. The overall objective is to collect data on a large-scale network of research locations/sites along the European coast in order to assess long-term changes in biodiversity and their possible causes taking into account natural and anthropogenic gradients. The specific aims are to:
  • Collate and analyse suitable long-term datasets on marine biodiversity in co-operation with Workpackage 1 (Data Integration), WP 2 (Taxonomic Clearing System) and WP 6 (Quality Assurance) using common approaches to determine key aspects of change
  • Review and apply methods and tools for comparison of species assemblages and their changes along at a hierarchy of spatial scales, including latitudinal and longitudinal gradients across Europe
  • Relate changes in biodiversity and patterns of changes to the variability and trends of the hydro-climatic environment
  • Formulate hypotheses on causes and consequences of biodiversity and environmental change in an ecosystem context
  • Develop concepts and research approaches, particularly experimental ones, for hypothesis testing and to detect and compare similar Global Change driven trends in different regions of Europe.

Scope
Thema's:
Biologie > Benthos, Biologie > Ecologie - biodiversiteit, Biologie > Invertebraten
Kernwoorden:
Marien/Kust, Biodiversiteit, Biologische data, Data, Gegevensverwerking, Gegevensverwerving, Impact, Langetermijnveranderingen, Marine Genomics, Pelagisch milieu, Rotsige kusten, Zandige stranden, ANE, Europa, ANE, Europa, Europees Continentaal Plat

Geografische spreiding
ANE, Europa [Marine Regions]
ANE, Europa, Europees Continentaal Plat [Marine Regions]

Spreiding in de tijd
1861 - 2007
Niet relevant

Parameters
Aantallen (geteld)
Biomassa algen

Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meerdata beheerderdatabank ontwikkelaar
Alfred Wegener Institute for Polar- and Marine Research (AWI), meerdata creator

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Bron datasets:
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BIS dataset of the south-western part of Netherlands (1985-2004), meer
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Characteristic features of the benthic algal vegetation along the Snaefellsnes peninsula, meer
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Cross Sands broadscale survey 1998, meer
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N3 data of Kiel bay, meer
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NSBS: North Sea Benthos Survey, meer
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Offshore reference stations (Finnmark), meer
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Polychaetes of rocky shores along the South Adriatic Coast, meer
Quantitative investigations on the bottom fauna in the Southern Baltic, meer
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Rocky shore data from the Capraia Marine Protected Area, meer
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SOFCOM - fytoplankton at 1 m depth in the Gulf of Marseille, meer
SOFCOM - fytoplankton at the maxChla depth in the Gulf of Marseille, meer
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Project
LargeNet: Large scale and long term Networking on the observation of Global Change and its impact on Marine Biodiversity, meer
MarBEF: Marine Biodiversity and Ecosystem Functioning - EU Network of Excellence, meer

Publicatie
Beschrijft deze dataset
Vandepitte, L. et al. (2010). Data integration for European marine biodiversity research: creating a database on benthos and plankton to study large-scale patterns and long-term changes. Hydrobiologia 644(1): 1-13. dx.doi.org/10.1007/s10750-010-0108-z, meer


Dataset status: Afgelopen
Data type: Data
Data oorsprong: Onderzoek
Metadatarecord aangemaakt: 2008-05-08
Informatie laatst gewijzigd: 2016-10-05
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