Norwegian Institute for Air Research
Netherlands Institute for Ecology
Tyndall Centre for Climate Change Research
Institute for Environmental Studies, Free University Amsterdam
University of Plymouth
Centre for Social and Economic Research on the Global Environment
Land-Ocean Interactions in the Coastal Zone
 


Nutrient Dynamics in European Water Systems
Synthesis Results

3. Fate of nutrients in coastal areas (4 of 4)

 
3.2 Role of Vegetation in Nutrient Cycling
 

Studies on sediment dominated by seagrass confirm the trend that 'vegetated' sites are autotrophic or only slightly heterotrophic and that nitrogen-uptake and storage in biomass is a dominant factor in the sediment nitrogen cycle. Welsh et al. (2000) drew up a nitrogen budget of a Zostera noltii system (Arcachon Bay). DIN (dissolved inorganic nitrogen) fluxes towards the plants and sediments were entirely dominated by the plants. Surprisingly, the plant community showed a high dark assimilation activity for inorganic-nitrogen and differences in light and dark fluxes of DIN, nitrate and ammonium were never significant (Figure 3.2(b)). In general denitrification was very low. In general, denitrification was very low. Similarly, rates of denitrification coupled to nitrification were consistently low, probably due to the competition between nitrifying bacteria and the Zostera roots for ammonium

The function of seagrass beds as sinks for nitrogen is furthermore supported by many other studies within ELOISE. Risgaard-Petersen & Ottosen (2000) in eelgrass beds showed N-sequestration in spring and summer, nitrogen release during autumn and very low denitrification rates throughout the year. De Wit et al. (2001) also concluded that plant biomass and detritus is a major temporary sink for nutrients (nitrogen & phosphorus) at vegetated sites.

Boschker et al. (2000) showed in samples from Zostera beds across north-western Europe that there was no significant biomass transfer from the seagrass to the local bacteria. The Zostera detritus appeared to be either buried or exported from the beds.

Figure 3.2(b). Light and dark rates of total denitrification (Den), N-fixation (N-fix) and the net N2 flux (net flux; N-fixation - total denitrification) in Zostera noltii -colonised sediments in February, May and October 1997. (Welsh et al., 2000).
Figure 3.2(b). Light and dark rates of total denitrification (Den), N-fixation (N-fix) and the net N2 flux (net flux; N-fixation – total denitrification) in Zostera noltii -colonised sediments in February, May and October 1997. (Welsh et al., 2000).
 

Alongside the empirical and budget methods, mechanistic tools have been developed to simulate the main benthic nutrient processes. Current modelling process have however become increasingly inaccessible to the experimental geochemist since they often require and in-depth knowledge of the underlying numerics and programming language (Meysman et al., 2003a).

A very generic, non-linear coupled diagenetic model was developed within the ECOFLAT project (Meysman et al., 2003a & 2003b). The authors propose a new modelling approach implementing the object-orientated technology and the concept of a problem-solving environment to increase the popularity, the productivity and the possibilities of modelling applications. Figure 3.2(c) displays an overview of the different object-type building blocks within the MEDIA object-orientated modelling environment.

They were successfully implemented in the object-orientated problem-solving environment MEDIA (Modelling Early DIAgenesis), which enables the design of customer-tailored diagenetic models and provides an efficient numerical solution for these models (Meysman et al., 2003b).

Figure 3.2(c). Overview of the different object-type building blocks within the MEDIA object-orientated modelling environment (Meysman et al., 2003a).
Figure 3.2(c). Overview of the different object-type building blocks within the MEDIA object-orientated modelling environment (Meysman et al., 2003a).

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