Low-Cost Field Estimation of Yellow Perch Daily Ration

Abstract
We used 2 years' diel food weight data from stomachs of Lake Erie yellow perch Perca flavescens to make Elliott-Persson (E–P) estimates of daily ration and to construct consumption response surface (CRS) regression models. The CRS models provided relatively accurate, low-cost estimates of daily ration from only one to four fish collections – compared with nine for the E–P procedure. Besides reducing daily sampling effort, CRS models allowed flexibility in fish collection times, thus alleviating the need for 24-h associations with sampling sites. Independent variables for CRS models included the food weight in fish stomachs from a particular collection (adjusted for water temperature) and the time of day when a fish collection was made. Accuracy of CRS model estimates of yellow perch daily ration relative to E–P estimates was evaluated with a jackknife-like procedure. Effectiveness of CRS models arose from significant relationships that existed between food weights in yellow perch stomachs through...

This publication has 0 references indexed in Scilit: