Overslaan en naar de inhoud gaan
Publicaties | Personen | Instituten | Projecten
[ meld een fout in dit record ]mandje (1): toevoegen | toon Print deze pagina

one publication added to basket [107355]
Extracting massive numbers of nematodes from muddy marine deposits: efficiency and selectivity
Rzeznik-Orignac, J.; Fichet, D.; Boucher, G. (2004). Extracting massive numbers of nematodes from muddy marine deposits: efficiency and selectivity. Nematology (Leiden) 6(4): 605-616. https://dx.doi.org/10.1163/1568541042665287
In: Nematology (Leiden). Brill: Köln; Leiden; Boston. ISSN 1388-5545; e-ISSN 1568-5411, meer
Peer reviewed article  

Beschikbaar in  Auteurs | Dataset 

Trefwoorden
    Separation processes
    Nematoda [WoRMS]
    Marien/Kust

Auteurs  Top | Dataset 
  • Rzeznik-Orignac, J., meer
  • Fichet, D.
  • Boucher, G., meer

Abstract
    Extraction of large numbers of living and debris-free nematodes is based on the active downward migration of nematodes through muddy sediments. This study is an assessment of how representative the extracted nematode population is in comparison to the in situ population. Nematode extraction efficiencies ranged from 20-29%; however, the method yielded 153 000 and 223 000 debris-free nematodes in 48 h (per m2 of mud with nematode population density of 776 000 individuals m-2). Sieve mesh size, migration device mesh size, and size distribution and behaviour of nematode species all influenced the extraction results. The species composition of the extracted nematode populations was significantly different from the in situ population assemblage. Metachromadora remanei and M. vivipara migrated less efficiently than Ptycholaimellus jacobi, Chromadora macrolaima and Daptonema oxycerca. This bias should be monitored in experimental studies using nematode populations extracted by means of sieving and downward migration.

Dataset
  • Boucher, G. & Rzeznik-Orignac, J. (2003). Data base Bougainville. Muséum national d'Histoire Naturelle Paris (MNHN), France., meer

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs | Dataset