An evaluation of the precision of diet description

Abstract

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 182:243-252 (1999) - doi:10.3354/meps182243 An evaluation of the precision of diet description E. Mümtaz Tirasin1,*, Terje Jørgensen2 1Department of Fisheries and Marine Biology, University of Bergen, High Technology Centre, N-5020 Bergen, Norway 2Institute of Marine Research, Fish Capture Division, PO Box 1870, N-5817 Bergen, Norway *E-mail: mumtaz.tirasin@ifm.uib.no ABSTRACT: Percentage compositions by weight and by number are the frequently used measures to evaluate the relative importance of different prey types in fish diet studies. The results obtained using these measures are only point estimates, and are often reported without any indication of their precision. Here an attempt is made to set confidence limits to these estimates via normal approximation and bootstrapping. Applications of these approaches are demonstrated with the stomach contents data of mackerel from the North Sea. The precision estimates of the average weight percentages were generally very poor, even when the prey items were grouped into major categories and sample sizes were comparatively large. Intra-haul correlation was found to be an important source of variation in the stomach content composition. A bootstrap method, which incorporated inter- and intra-haul variation, provided more realistic confidence intervals for weight percentages than the normal approximation. Implications of the uncertainty associated with these measures for dietary studies have been discussed. Routine estimation of the precision of dietary measures is recommended. KEY WORDS: Feeding ecology · Dietary measures · Stomach contents · Bootstrap · Confidence intervals · Intra-haul correlation Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 182. Publication date: June 11, 1999 Print ISSN:0171-8630; Online ISSN:1616-1599 Copyright © 1999 Inter-Research.