Abstract

Sustainable human exploitation of living marine resources stems from a delicate balance between yield stability and population persistence to achieve socioeconomic and conservation goals. But our imperfect knowledge of how oceanic oscillations regulate temporal variation in an exploited species can obscure the risk of missing management targets. We illustrate how applying a management policy to suppress fluctuations in fishery yield in variable environments (prey density and regional climate) can present unintended outcomes in harvested predators and the sustainability of harvesting. Using Atlantic cod (Gadus morhua, an apex predatory fish) in the Barents Sea as a case study we simulate age-structured population and harvest dynamics through time-varying, density-dependent and density-independent processes with a stochastic, process-based model informed by 27-year monitoring data. In this model, capelin (Mallotus villosus, a pelagic forage fish), a primary prey of cod, fluctuations modulate the strength of density-dependent regulation primarily through cannibalistic pressure on juvenile cod survival; sea temperature fluctuations modulate thermal regulation of cod feeding, growth, maturation, and reproduction. We first explore how capelin and temperature fluctuations filtered through cod intrinsic dynamics modify catch stability and then evaluate how management to suppress short-term variability in catch targets alters overharvest risk. Analyses revealed that suppressing year-to-year catch variability impedes management responses to adjust fishing pressure, which becomes progressively out of sync with variations in cod abundance. This asynchrony becomes amplified in fluctuating environments, magnifying the amplitudes of both fishing pressure and cod abundance and then intensifying the density-dependent regulation of juvenile survival through cannibalism. Although these transient dynamics theoretically give higher average catches, emergent, quasicyclic behaviors of the population would increase long-term yield variability and elevate overharvest risk. Management strategies that overlook the interplay of extrinsic (fishing and environment) and intrinsic (life history and demography) fluctuations thus can inadvertently destabilize fish stocks, thereby jeopardizing the sustainability of harvesting. These policy implications underscore the value of ecosystem approaches to designing management measures to sustainably harvest ecologically connected resources while achieving socioeconomic security.

Highlights

  • Fluctuations in wild animal populations can pose myriad socioeconomic and conservation challenges in sustainably managing human exploitation of livingManuscript received 26 August 2020; revised 29 June 2021; accepted 20 July 2021

  • Process-based model informed by system-specific information from the Barents Sea we explore how variability in extrinsic forcing is propagated through the intrinsic dynamics of an age-structured population by explicitly simulating the key mechanisms that can regulate cod productivity—the interplay of cannibalism, capelin density, and climate variability—under a given harvest regime

  • With cannibalism and constant capelin production (M3) added, the CV in cod biomass rose to more than 0.20 (Appendix S2: Fig 1 b), and mean ICV across years rose 2.4-fold

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Summary

Introduction

Fluctuations in wild animal populations can pose myriad socioeconomic and conservation challenges in sustainably managing human exploitation of livingManuscript received 26 August 2020; revised 29 June 2021; accepted 20 July 2021. The variability in environmental forcing is filtered through intrinsic processes over ages (or life stages) and may emerge as cyclic behavior in age (or stage)structured populations (Bjørnstad and Nisbet 2004). Large between-year fluctuations often emerge in early life stages; variability in early environments in the sea propagates through life-history processes (Cushing 1990). Density-dependent intercohort and intracohort interactions, such as cannibalism, can generate transient cyclic or quasicyclic patterns in a stochastic environment (Claessen and De Roos 2004). Past research instructs us that the density-dependent interplay of intrinsic and extrinsic processes can shape these patterns and is likely to be a key contributor to the population variability of many exploited fish species in nature (Minto and Myers 2008, Shelton and Mangel 2011)

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