A stage-based estimator of daily egg production. (21st March 2018)

• Record Type: Journal Article
• Authors: McGarvey, Richard; Steer, Mike A; Matthews, Janet M; Ward, Tim M
• Is Part Of: ICES journal of marine science. Volume 75:Number 5(2018)
• Page Start: 1638
• Page End: 1646
• Publication Date: 2018-03-21
• Subjects: Chrysophrys auratus -- daily egg production method -- egg mortality rate -- hatching age -- snapper -- spawning egg density; Ocean -- Periodicals; Fisheries -- Periodicals; Fishes -- Periodicals; Marine biology -- Bibliography -- Periodicals; 551.4605
• DOI: 10.1093/icesjms/fsy021
• Languages: English
• ISSNs: 1054-3139

Abstract

Abstract: Snapper ( Chrysophrys auratus ) in South Australia spawn over a wide range of daily times and hatch in ∼1.5 d. Traditional estimates of daily egg production (i) divide sampled eggs into daily age cohorts, e.g. days 1 and 2, (ii) compute cohort ages by assuming that all spawning occurs at a fixed daily peak hour, and (iii) link the estimation of spawning egg density with egg mortality rate by regressing cohort egg densities against cohort age. We propose a method for estimating daily egg production, the number of eggs spawned per unit area per day ( P 0 ), without these assumptions. We use a range of estimates of snapper egg mortality rate obtained from prior studies to backcorrect for egg mortality to the age 0 spawning egg density for each stage of eggs individually rather than aggregating into daily cohorts. P 0 is estimated as a mean of sample tow densities rather than as a regression intercept. This stage-based P 0 estimator avoids errors associated with assuming a fixed daily spawning hour and classifying eggs into day 1 or 2. It requires no regressions of sampled daily cohort egg densities against age, which often provide imprecise estimates of mortality rates. Simulation testing showed 1–2% accuracy for this estimator of P 0 . The uncertainty of assuming egg mortality rates is moderated by the insensitivity of estimates of P 0 to the input value of egg mortality rate.