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Modelling the relationships between the morphological and functional characteristics of an atoll  

 

A modelling project was launched by Michel Claereboudt using two different approaches based on kriging and parametric modelling procedures.

 

The Kriging approach

 

Kriging procedures can be used to predict the internal variables (IVs) at work on atolls on which no measurement campaigns have been carried out. They consist of interpolating the most probable values of  the IVs depending on the most significant forced variables (FVs) obtained in the data analysis: the logarithm of the porosity and the logarithm of the area of the atoll. A kriging algorithm was used in which the contribution of the points was taken to decrease exponentially with the distance. Figures 11 à 13 give as an example the estimates obtained for three IVs on atolls where the porosity and the surface area were known.

With the whole set of IVs modelled using this approach, the following main patterns emerged:

 

  • A size gradient 

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Fig. 11 -  NO3 + NO2 concentrations predicted by  interpolating and/or extrapolating from the concentrations recorded, as a function of the area of the lagoons and the porosity of their coral rings. The coordinates of the atolls on which measurements were carried are marked with the sign °   

 

  • A porosity gradient

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Fig. 12 -  PO4 Concentrations predicted by extrapolating from the concentrations recorded, as a function of the area of the lagoons and the porosity of their coral rings. The coordinates of the  atolls on which measurements were carried out  are marked with the sign ° 

 

  • A two-fold  size/porosity gradient. The densities lie on an oblique axis, which was a frequently encountered occurrence.

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Fig. 13 - Predicted  particulate organic carbon concentrations extrapolated from the concentrations recorded, as a function of the area of the lagoons and the porosity of their coral rings. The coordinates of the atolls on which measurements were carried out are marked with the sign ° 

 

The parametric modelling approach

 

Figure 14 gives a diagram of the typical C and N flow patterns in an atoll lagoon, showing the main components resulting from the primary and secondary production processes and the microbial loop.

 

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Fig. 14 – Functional diagram based on the SIMATOLL model. The heavy arrows give the flows of matter (or energy); and the fine arrows give the flows of information. The control parameters (FVs) are given in the outer ellipses.

The growth, consumption and mortality and the flows into and out of the lagoon were modelled on the basis of data in the literature and experimental data obtained in studies other than the Typatoll field studies. The SIMATOLL model was developed. One of the components of this model is shown in figure 15.

 

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Fig. 15 – A detail of the functional scheme of part of the SIMATOLL model. The double arrows indicate the flows of matter. The fine arrows indicate the flows of information. The clouds stand for inexhaustible stocks. The simulation procedures make it relatively easy to subdivide the model into separate sections. The disks give the values of the parameters and the results of the flow rate calculations.

 

The subsequent validation stage will consist of comparing the results of the simulation obtained with the model and the quantitative data obtained on the stocks and flows (primary production rates and bacterial production rates) during the Typatoll field studies, varying the values of the forced variables associated with the various atolls. It will then be possible to make some cautious predictions about the atolls which were not included in the initial Typatoll field measurement campaigns.

 

Wanted : The development of the model has been at a standstill since August 1997, since Michel Claereboudt has been unable to continue working on this project. We are looking for someone to take over this work where he left off. The person appointed for this purpose would have free access to the Typatoll database and the SIMATOLL model in its present stage of development. We would do everything possible to facilitate contacts with the specialists in various disciplines who have participated in collecting and interpreting the data. Candidates should have a thorough background in the ecology of aquatic media. If you are interested in joining this project, please contact dufour@ird.fr.

 

References :

Dufour P., Andréfouët S, Charpy L., Garcia N. (2001) Atolls morphometry controls nutrient regime in their lagoons. Limnology and Oceanography 46 (2): 456-461

Dufour P., Andréfouët S, Charpy L., Garcia N. (2001) Atolls morphometry controls nutrient regime in their lagoons. Limnology and Oceanography 46 (2): 456-461

update : 07/10/08

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