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Length–weight relationships of 216 North Sea benthic invertebrates and fish
Robinson, L.A.; Greenstreet, S.P.R.; Reiss, H.; Callaway, R.; Craeymeersch, J.A.; De Boois, I.; Degraer, S.; Ehrich, S.; Fraser, H.M.; Goffin, A.; Jorgenson, L.L.; Robertson, M.R.; Lancaster, J. (2010). Length–weight relationships of 216 North Sea benthic invertebrates and fish. J. Mar. Biol. Ass. U.K. 90(1): 95-104. dx.doi.org/10.1017/S0025315409991408
In: Journal of the Marine Biological Association of the United Kingdom. Cambridge University Press/Marine Biological Association of the United Kingdom: Cambridge. ISSN 0025-3154, more
Peer reviewed article  

Available in Authors 
    VLIZ: Open Repository 212347 [ OMA ]

Keywords
    Benthos; Demersal fisheries; Length-weight relationships; Size; Pisces [WoRMS]; Marine
Author keywords
    length-weight relationships; benthos; demersal fish; size structure; size-based analyses

Authors  Top 
  • Robinson, L.A.
  • Greenstreet, S.P.R.
  • Reiss, H.
  • Callaway, R.
  • Craeymeersch, J.A., more
  • De Boois, I., more
  • Degraer, S., more
  • Ehrich, S.
  • Fraser, H.M.
  • Goffin, A., more
  • Kröncke, I., revisor, more
  • Jorgenson, L.L.
  • Robertson, M.R.
  • Lancaster, J.

Abstract
    Size-based analyses of marine animals are increasingly used to improve understanding of community structure and function. However, the resources required to record individual body weights for benthic animals, where the number of individuals can reach several thousand in a square metre, are often prohibitive. Here we present morphometric (length–weight) relationships for 216 benthic species from the North Sea to permit weight estimation from length measurements. These relationships were calculated using data collected over two years from 283 stations. For ten abundant and widely dispersed species we tested for significant spatial and temporal differences in morphometric relationships. Some were found, but the magnitude of differences was small in relation to the size-ranges of animals that are usually present and we recommend that the regression relationships given here, based on pooled data, are appropriate for most types of population and community analyses. Our hope is that the availability of these morphometric relationships will encourage the more frequent application of size-based analyses to benthic survey data, and so enhance understanding of the ecology of the benthic/demersal component of marine ecosystems and food webs.

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