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Rennie, Michael D.; Verdon, Richard

Development and Evaluation of Condition Indices for the Lake Whitefish

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  • Medientyp: E-Artikel
  • Titel: Development and Evaluation of Condition Indices for the Lake Whitefish
  • Beteiligte: Rennie, Michael D.; Verdon, Richard
  • Erschienen: Wiley, 2008
  • Erschienen in: North American Journal of Fisheries Management, 28 (2008) 4, Seite 1270-1293
  • Sprache: Englisch
  • DOI: 10.1577/m06-258.1
  • ISSN: 0275-5947; 1548-8675
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Despite frequent use of length‐based condition indices by fisheries managers and scientists to describe the overall well‐being of fish, these indices are rarely evaluated to determine how well they correlate with more direct measures of physiological or ecological condition. We evaluated common condition indices (Fulton's condition factor K<jats:sub>F</jats:sub>, Le Cren's condition index K<jats:sub>LC</jats:sub>, and two methods of estimating relative weight W<jats:sub>r</jats:sub>) against more direct measures of physiological condition (energy density, percent lipid content, and percent dry mass) and ecological condition (prey availability) for lake whitefish Coregonus clupeaformis in Lake Huron. We developed four standard weight (W<jats:sub>s</jats:sub>) equations using the regression length percentile (RLP) method: one for the species as a whole, and three separate equations describing immature, mature male, and mature female lake whitefish from 385 populations in North America. Species RLP‐W<jats:sub>s</jats:sub> showed less length‐related bias and more closely matched empirical quartiles of lake‐specific mean weight than did maturity‐ or sex‐specific RLP‐W<jats:sub>s</jats:sub> equations. Significant length‐related bias was detected in EmP‐W<jats:sub>r</jats:sub>. No biologically significant length‐related bias was detected in K<jats:sub>LC</jats:sub>, but this index was specific to a single population of fish. Species RLP‐W<jats:sub>r</jats:sub> showed no significant length‐related bias, and K<jats:sub>F</jats:sub> was significantly size dependent. All length‐based condition indices were significantly correlated with energy density, percent lipid content, and percent dry mass. The index most strongly correlated with all three measures of physiological condition was K<jats:sub>F</jats:sub>, likely because both the physiological measures and K<jats:sub>F</jats:sub> exhibited positive relationships with body size. Across two Lake Huron sites, RLP‐W<jats:sub>r</jats:sub> was significantly correlated with density of prey (amphipods Diporeia spp.). Of the two condition indices developed in this study, RLP‐W<jats:sub>r</jats:sub> was consistently more strongly correlated with physiological condition indices than was EmP‐W<jats:sub>r</jats:sub>.</jats:p>