Even low levels of cannibalism can bias population estimates for Pacific hake

Author:

Wassermann Sophia N1ORCID,Adams Grant D2ORCID,Haltuch Melissa A3ORCID,Kaplan Isaac C4,Marshall Kristin N4ORCID,Punt André E2

Affiliation:

1. Resource Assessment and Conservation Engineering Division, Alaska Fisheries Science Center , Seattle, WA 98115 , United States

2. School of Aquatic and Fishery Sciences, University of Washington , Seattle, WA 98105 , United States

3. Resource Ecology and Fisheries Management Division, Alaska Fisheries Science Center , Seattle, WA 98115 , United States

4. Conservation Biology Division, Northwest Fisheries Science Center , Seattle, WA 98112 , United States

Abstract

Abstract By incorporating trophic interactions and temperature-dependent bioenergetics, multi-species models such as CEATTLE (climate-enhanced age-based model with temperature-specific trophic linkages and energetics) are a step towards ecosystem-based stock assessment and management of high-value commercial species such as Pacific hake (Merluccius productus). Hake are generalist predators and previous studies in the California Current Ecosystem have determined that their diet consists of ∼30% cannibalism. We used CEATTLE to include cannibalism in a model of hake population dynamics and re-examined hake diet data to determine the proportion by age that can attributed to cannibalism. The proportion was highly variable, ranging between 0 and 80% of stomach contents by weight. When included in the CEATTLE model, the estimated spawning biomass, total biomass, and recruitment increased by 15, 23, and 58%, on average, relative to the single-species model, due to the estimation of time- and age-varying predation mortality, primarily for age-1 hake. The effects of cannibalism varied over time, with further increases in total biomass and recruitment resulting from the age structure of the population following large cohorts in 1980 and 1984. Results from the cannibalism model could be used to inform the estimation of time- and age-varying mortality in the single-species assessment and as a pathway for including ecosystem information in management through environmental and trophic drivers of variability in mortality.

Funder

CICOES

Publisher

Oxford University Press (OUP)

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