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Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation

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  • Dueri, Sibylle
  • Faugeras, Blaise
  • Maury, Olivier

Abstract

APECOSM-E (Apex-Predator-Ecosystem-Model-Estimation) is a deterministic model that represents the 3D distribution and population dynamics of tropical tuna under the joint effect of environmental conditions and exploitation by fisheries. It is a simplified version of the top predator component of the APECOSM framework, based on a single partial differential equation. The model is structured in 3D space and fish size and considers size dependent reproduction, growth, predation, natural mortality and fishing mortality. Processes are time, space and size-dependent and linked to the environment through mechanistic bioenergetic or behavioral parameterizations. Physiological rates such as growth, reproduction and ageing mortality are derived from the Dynamic Energy Budget (DEB) theory, while horizontal movements and vertical distribution obey a mechanistically derived advection–diffusion formulation driven by habitat gradients and oceanic currents. The effect of fishing is accounted for through the use of fleet-specific size and depth selectivity functions and time-dependent catchability coefficients which relate observed fishing effort to catches and size-frequencies.

Suggested Citation

  • Dueri, Sibylle & Faugeras, Blaise & Maury, Olivier, 2012. "Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation," Ecological Modelling, Elsevier, vol. 245(C), pages 41-54.
    • Handle: RePEc:eee:ecomod:v:245:y:2012:i:c:p:41-54
    DOI: 10.1016/j.ecolmodel.2012.02.007
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    1. Dueri, Sibylle & Faugeras, Blaise & Maury, Olivier, 2012. "Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E – Part 2: Parameter estimation and sensitivity analysis," Ecological Modelling, Elsevier, vol. 245(C), pages 55-64.
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    1. Dueri, Sibylle & Faugeras, Blaise & Maury, Olivier, 2012. "Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E – Part 2: Parameter estimation and sensitivity analysis," Ecological Modelling, Elsevier, vol. 245(C), pages 55-64.
    2. Anderson, James J. & Gurarie, Eliezer & Bracis, Chloe & Burke, Brian J. & Laidre, Kristin L., 2013. "Modeling climate change impacts on phenology and population dynamics of migratory marine species," Ecological Modelling, Elsevier, vol. 264(C), pages 83-97.
    3. Evans, K. & Young, J.W. & Nicol, S. & Kolody, D. & Allain, V. & Bell, J. & Brown, J.N. & Ganachaud, A. & Hobday, A.J. & Hunt, B. & Innes, J. & Gupta, A. Sen & van Sebille, E. & Kloser, R. & Patterson,, 2015. "Optimising fisheries management in relation to tuna catches in the western central Pacific Ocean: A review of research priorities and opportunities," Marine Policy, Elsevier, vol. 59(C), pages 94-104.
    4. Goedegebuure, Merel & Melbourne-Thomas, Jessica & Corney, Stuart P. & Hindell, Mark A. & Constable, Andrew J., 2017. "Beyond big fish: The case for more detailed representations of top predators in marine ecosystem models," Ecological Modelling, Elsevier, vol. 359(C), pages 182-192.

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