Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (0): add | show Print this page

Contributions à l'étude des bactéries marines du littoral belge: IV. Recherche quantitative de la richesse microbienne de l'eau du bassin de chasse d'Ostende par lecture directe sur membranes filtrantes
Persoone, G.; De Pauw, N. (1968). Contributions à l'étude des bactéries marines du littoral belge: IV. Recherche quantitative de la richesse microbienne de l'eau du bassin de chasse d'Ostende par lecture directe sur membranes filtrantes. Med. K. Belg. Inst. Nat. Wet. 44(26): 1-9
In: Bulletin. Institut Royal des Sciences Naturelles de Belgique. Mededelingen. Koninklijk Belgisch Instituut voor Natuurwetenschappen. KBIN: Brussel. ISSN 0368-0177, more
Peer reviewed article  

Available in  Authors | Dataset 

Keywords
    Composition > Community composition
    Cultures > Shellfish culture > Mollusc culture > Oyster culture
    Distribution > Quantitative distribution
    Filters
    Membranes
    Microorganisms > Bacteria
    Water > Shallow water
    ANE, Belgium, Belgian Coast [Marine Regions]; ANE, Belgium, Oostende, Sluice Dock [Marine Regions]
    Marine/Coastal; Brackish water

Authors  Top | Dataset 

Abstract
    In a series of bi-mensual samplings in 1966, the method of direct counting on membrane filters has been used to determine the quantity of bacteria present in the water of the Sluice-dock in Ostend (Belgium) as a possible important food-stock for oysters which are reared there.

Dataset
  • Persoone G.; De Pauw N.; Laboratorium voor Oecologie, Biogeografie en Algemene Biologie. RUG; Laboratorium voor Oecologie. RUCA: Belgium; (2016): Quantitative determination of bacteria by the membrane-filtration method in the Sluice Dock in 1966., more

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors | Dataset