Title of article :
A Model for the Growth of Opportunistic Macroalgae (Enteromorpha sp.) in Tidal Estuaries
Author/Authors :
I. Martins، نويسنده , , J. C. Marques، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Abstract :
The aim of this work was to develop a model capable of simulating the gross and the net growth of Enteromorpha sp. in
tidal estuaries. The model was developed for the Mondego Estuary (Western Portugal) taking into account the key factors
that control green macroalgae in the area. Enteromorpha gross growth was defined as a function of light, temperature,
salinity and internal nutrients (N and P). Net growth was defined as gross growth minus respiration. The model was
calibrated using a set of experimental data obtained in the laboratory under semi-controlled conditions. Sub-models of
tidal height and light extinction coefficient variation were included for predicting macroalgal growth in the field, which
constituted the model validation. According to the results, model predictions are well within the observed results, both
in the laboratory and in the field. The largest discrepancies between predicted and observed values in the field refer to
winter months and July. Possibly at these periods of the year, the prevailing external conditions (very low salinity in winter
and high temperature and PFD in July) induced some physiological responses by Enteromorpha, which were not described
by the model (e.g. sporulation, desiccation).
The model was also used to demonstrate the need to consider dynamic descriptions of the light extinction coefficient
in the water column (k) when assessing primary productivity in tidal environments. If macroalgal-specific (e.g. nutrient
internal status) and site-specific parameters (e.g. minimal and maximal depth, photoperiod) are considered, the present
model may be used in a broader scale.
Keywords :
Enteromorpha growth , model , validation , tidal , Light extinction coefficient
Journal title :
Estuarine, Coastal and Shelf Science
Journal title :
Estuarine, Coastal and Shelf Science