MetaData

The NewSTHEPS MetaData catalogue gives an overview of all persons and institutes involved and lists all created datasets and publications coming out of the project.

 

Persons Institutes Publications Datasets

 

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Historical marine fisheries data for Belgium: Data sources, data management and data integration related to the reconstruction of historical time-series of marine fisheries landings for Belgium
Lescrauwaet, A.-K.; Debergh, H.; Vincx, M.; Mees, J. (2013). Historical marine fisheries data for Belgium: Data sources, data management and data integration related to the reconstruction of historical time-series of marine fisheries landings for Belgium, in: Lescrauwaet, A.-K. Belgian fisheries: ten decades, seven seas, forty species: Historical time-series to reconstruct landings, catches, fleet and fishing areas from 1900. pp. 24-73
In: Lescrauwaet, A.-K. (2013). Belgian fisheries: Ten decades, seven seas, forty species - Historical time-series to reconstruct landings, catches, fleet and fishing areas from 1900. PhD Thesis. Ghent University (UGent): Gent. xiii, 242 pp.
Beschikbaar in  Auteurs 
Trefwoorden
    ANE, North Sea
    Belgium
    Data integration
    Data management
    Fisheries > Marine fisheries
    Forestry > Forestry practices > Logging > Landings
    Iceland
    Records > Historical records
    Statistics > Fishery statistics
    Value
    België [Marine Regions]; Iceland [Marine Regions]; Noordzee [Marine Regions]
    Marien/Kust
Author keywords
    Marine Environmental History; Sea Fisheries statistics; Shifting baselines
Auteurs  Top 
  • Lescrauwaet, A.-K.
  • Debergh, H.
  • Vincx, M.
  • Mees, J.
Abstract
    In spite of the €1 billion of public money spent each year in Europe on monitoring and measuring the seas (COM/2010/0461), users are still confronted with restrictions on data access. When accessible, the quality of the data may be unknown or different standards and formats may apply which make data assembling from different sources a challenging and often specialists’ task. This situation seriously hampers the opportunities to develop innovative products and services, including the use of data in advanced scientific research. This is particularly true for long-term time-series. The current chapter covers the process of reconstructing time-series for different parameters that describe the sea fisheries in Belgium: landings, value of landings, species, species length classes, fishing areas, and their seasonal and annual variability. The process from source to product is explained and the main outcomes and data products of the reconstruction of historical time-series on Belgian sea fisheries are commented.
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