A novel approach for estimating growth and mortality of fish larvae

Author:

Hinchliffe Charles1ORCID,Pepin Pierre2ORCID,Suthers Iain M13ORCID,Falster Daniel S1ORCID

Affiliation:

1. Evolution and Ecology Research Centre and School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia

2. Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, 80 East White Hills, P.O. Box 5667, St. John’s, NL A1C 5X1, Canada

3. Sydney Institute of Marine Science, Chowder Bay Road, Mosman, NSW 2088, Australia

Abstract

Abstract Accurate estimates of growth and mortality are needed to understand drivers of production and cohort success. Existing methods for estimating mortality rates, such as catch-curves, require large sample sizes, as they work by grouping individuals into age-bins to determine a frequency distribution. Yet, sampling enough larvae is often not possible at fine scales within the constraints of research projects, due to low density of larvae in pelagic environments. Here, we develop a novel method to simultaneously estimate growth and mortality rates of fish larvae as a continuous function of size using theory of size-structured populations, eliminating the need to group data into age-bins. We compare the effectiveness of our model to existing methods by generating data from a known distribution. This comparison demonstrates that while all models recover correct parameter values under ideal circumstances, our new method performs better than existing methods when sample sizes are low. Additionally, our method can accommodate non-linear growth and mortality functions, while also allowing growth and mortality to vary as functions of environmental co-variates. This increased accuracy and flexibility of our method should improve our ability to relate variability in larval production to environmental fluctuations at finer spatial scales.

Funder

Australian Government

ARC

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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