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[Tuna Ecology & Biology] -> [Tuna Biology & Behaviour]

SEPoDyM
a Spatial Environmental POpulation DYnamic Model

 


"Understanding and ultimately predicting how populations of tunas and tuna-like species and the by-catch species respond to natural and anthropogenic changes is a major challenge for integrating the ecosystem approach into management. Modelling studies should be directed at elucidating the mechanisms linking biological and physical components of marine ecosystems and understanding the responses of the ecosystems, particularly the populations at higher trophic levels which are exploited by various fisheries, to various types of physical forcing and biological interactions. This would require the development of coupled physical-biological interaction models on the scale of ocean basins, and would include zooplankton, micronekton, and higher-level predators that are not exploited.

Biological productivity in the pelagic zone is highly dynamic, characterized by advection of organisms at lower trophic levels and by extensive movements of animals at higher trophic levels, both of which are strongly influenced by climatic variability. As the potential energy of stored biomass is transferred by the trophic level up the food web, the time scale for transfer between levels increases from seasonal to multi-annual scales. Ecosystem models coupling physical and biological interactions may be constructed from combinations of production and age- (size-) structured population models that are appropriate for simulating space and time distributions of successive cohorts of targeted species."

FAO (2001). Research implications of adopting the precautionary approach to management of tuna fisheries. FAO Fisheries Circular. No. 963. Rome, FAO. 78p.

 

Introduction

SEPODYM is a 2D coupled physical-biological interaction model at the scale of ocean basin, combining a forage (prey) production model with an age structured population model of targeted (tuna predator) species. The model contains multi-gear and one or multi-species, with environmental and spatial components used to constrain the movement and the recruitment of tuna. All the spatial dynamic modelling of SEPODYM is based on diffusion–advection-reaction equations in two horizontal dimensions.

The use of diffusion models for simulating random dispersion of animal population is not recent and different applications are discussed in the literature (e.g., Skellam 1973; Okubo 1980; Okubo 1986; Murray 1993); however, in some cases animal populations show directional movement. To account for this behaviour, Okubo (1980; Okubo 1986) presented a derivation of the advection-diffusion equation, in which directional movements are described by the advective term of the equation.

An extension of this approach has been used for the analysis of tagged tuna movement (Sibert et al. 1999), and the treatment of the spatial dynamic component in SEPODYM uses the same mathematical formulation, except that the advective terms applied to this equation are different according to the simulated movements.

For the movement of small forage organisms and tuna larvae and juveniles, the advective components in the two horizontal dimensions are oceanic currents, but are habitat index gradients for adult tuna. The equations of transport in the two horizontal dimensions for forage and tuna populations are given in (Bertignac et al. 1998) and (Lehodey et al. 1998). The habitat index is a function of forage density, and sea sea temperature . Sea surface temperature, oceanic currents, and primary production are also used in the model to delineate tuna spawning areas, transport larvae and juveniles, and simulate the tuna forage distribution (Lehodey 2001).


Modeling the Nutrient – Phytoplankton – Zooplankton Food Web

Modeling tuna forage

Tuna habitat

Modeling tuna population

Tuna Fisheries described in SEPODYM

Results

References