Secretariat of the Pacific Community / Secrétariat de la Communauté du Pacifique (SPC)

OCEANIC FISHERIES PROGRAMME / PROGRAMME PECHE HAUTURIERE

OFP Home News Staff / Personnel Member Countries / Pays Membres OFP Meetings Jobs / Emplois Links / Liens
WCPFC WCPFC news WCPFC Scientific Committee / Comité Scientifique SCTB SPC

 


Statistics and Monitoring
Statistiques des Pêcheries Thonières

Overview

In-Country Area
Tuna Fishery Data Catalogue

Regional Data Forms

Coverage & Quality of Data


Tuna Ecology and Biology
Ecologie et Biologie du Thon

Tuna Biology and Behaviour
Environmental Relationship & Modelling
Billfish & By-catch
Ecosystem Research
Tuna Tagging


Stock Assessement and Modelling
Evaluation des Stocks & Modélisation

Stock Assessment


Publications and Articles
Publications et Articles

Statistics Publications
Research Publications
Technical Reports
Donors Reports
Other Reports
DIGITAL LIBRARY

| Disclaimer | Contact OFP |
 English       Site en Français

 

Secretariat of the Pacific Community
BP D5, 98848 Noumea
NEW CALEDONIA

Ph +687 262000 - Fx +687 263818 
Email: 
oceanfishATspc.int

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

Modelling tuna forage (F)

 

A basic difference between pelagic and terrestrial ecosystems is that the size of food particles is a primary determinant of food web structure in the open sea (Isaacs, 1972).

From extensive observations of marine pelagic communities, Sheldon et al. (1972) found that particle concentrations over a wide range (from phytoplankton to whales) are relatively uniform when data are grouped in logarithmic size intervals. Following this work, numerous studies attempted to characterize the pelagic ecosystem as a function of organism size, suggesting a trophic continuum in the pelagic ecosystem with a size-related time-scale.

 

Considering forage as a meta-population

Instead of developing a detailed explicit food web through the whole pelagic ecosystem, which is a complex and very long task, the tuna forage is considered as a single population. Since all the organisms of a same cohort have the same age, it is immaterial whether the cohorts are of the same species or not.

The classical fish population approach is used to describe the dynamic of this forage population, with:
a continuous recruitment S

a mortality coeffcient l

The development of a new primary biomass during a period of time (primary production) allows the development of a new cohort of many different organisms, a fraction of which will be recruited after a time Tr in the forage population. The level of fraction transferred depends of an ecological transfer coefficient. Since the cohorts are identical in their growth and mortality, it is not necessary to consider effects due to the existence of more than one cohort. The total biomass integral by time of a single cohort is equal to the total biomass of the population of successive and identical cohorts. In an equilibrium situation, the biomass F~S/l and the production F’=S

 

Transfer with time of primary production towards forage according to the model (S is assumed constant). The thin curve describes the evolution in time of a single source of primary production. The thick curve gives the total forage population.

 

 

 

 

Assuming that the recruitment S is constant and continuous allows defining a "mean age" to the forage population. If  Tr is at time 0 of the forage population, the sum of the products t.St is: r is at time 0 of the forage population, the sum of the products t.St is:

 

Since the forage population is S/l, the mean time spent in the forage population is S/l2 divided by S/l, or 1/l. Adding Tr to 1/l gives the "mean age" of the forage population since the origin of the cohort, i.e., the time when the new primary production appears. Specifically, it is a biomass-weighted mean age because the forage population is expressed in unit of biomass. The mean age can be assimilated to the interval between one generation and the next, such as a mean generation time or turnover time (the mean time taken for the biomass of the population to be replaced by fresh production). It is also possible to define the maximum life span of organisms within the forage population as the time necessary to see the population reduced by a determined level (e.g., for 99%, t = - 1/l . Ln(0.01) + Tr). Therefore, l and Tr which characterize F can be estimated using biological characteristics of key-species representative of the forage population.

 

Application to tuna forage

Tunas are known to be opportunistic predators feeding upon three major groups of prey: fish, squids and crustaceans. Sizes of prey items range from a few millimeters (small euphausids and amphipods) to several centimeters (squids, small fish, shrimps). Biological characteristics of the main tuna prey species or group of species can be found in the literature. A mean age of 150 d was chosen with a value of 60 d for Tr. These parameter values lead to a maximum life span of 474 d. Although these values may need to be more accurately refined, they appear to be a reasonable characterization of tuna forage according to biological studies of typical prey species.

To follow the energy transfer from primary production to forage, the nitrogen unit of primary production is also used for the forage population. Therefore, the forage biomass is the accumulated quantity of nitrogen in the population. At this stage, there is no growth function for the forage population, but an appropriate coefficient is used to convert this quantity of nitrogen to wet weight. In future development however, a growth function based on the d15N content of the prey items of tuna could be used.

To follow the energy transfer from primary production to forage, the nitrogen unit of primary production is also used for the forage population. Therefore, the forage biomass is the accumulated quantity of nitrogen in the population. At this stage, there is no growth function for the forage population, but an appropriate coefficient is used to convert this quantity of nitrogen to wet weight. In future development however, a growth function based on the d15N content of the prey items of tuna could be used.

 

Spatial dynamic of forage population

For the movement of small forage organisms and tuna larvae and juveniles, the advective components in the two horizontal dimensions are oceanic currents, with r, the diffusion coefficient (diffusion of water and random movement of organisms), and u, v the zonal and meridional components of the current in the euphotic layer. F is the forage, S the new organisms recruited in the forage population and l the mortality coefficient.

 

References

Isaacs, J.D. (1977). The life of the open sea. Nature, 267, 778-780
Sheldon, R.W., Prakash, A., & Sutcliffe Jr, W.H. (1972). The size distribution of particles in the Ocean. Limnology Oceanography, 17, 327-340

[See an animation: monthly series of forage biomass]
[Next : Habitat]
[Return]