Reference : A model of the seasonal dynamics of biomass and production of the seagrass Posidonia ...
Scientific journals : Article
Life sciences : Environmental sciences & ecology
Life sciences : Phytobiology (plant sciences, forestry, mycology...)
http://hdl.handle.net/2268/11515
A model of the seasonal dynamics of biomass and production of the seagrass Posidonia oceanica in the Bay of Calvi (Northwestern Mediterranean)
English
Elkalay, Khalid [> > > >]
Frangoulis, Constantin [University of Athens >Department of Meterology > > >]
Skliris, Nikolaos [Université de Liège - ULg > > Océanographie physique >]
Goffart, Anne mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Océanologie >]
Gobert, Sylvie mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Océanologie >]
Lepoint, Gilles mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Océanologie >]
Hecq, Jean-Henri mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Océanologie >]
2003
Ecological Modelling
Elsevier Science Bv
167
1-2
1-18
Yes (verified by ORBi)
International
0304-3800
Amsterdam
[en] seagrass ; Posidonia oceanica ; biomass ; production ; growth model ; shading effect sensitivity ; Bay of Calvi ; Corsica ; Mediterranean Sea
[en] Modelling of seagrasses can be an effective tool to assess factors regulating their growth. Growth and production model of Posidonia oceanica, the dominant submerged aquatic macrophyte occurring in the Bay of Calvi (Corsica, Ligurian Sea, Northwestern (NW) Mediterranean) was developed. The state variables are the above- and below-ground biomass of P oceanica, the epiphyte biomass, and the internal nitrogen concentration of the whole plant. Light intensity and water temperature are the forcing variables. The model reproduces successfully seasonal growth and production for each variable at various depths (10, 20 and 30 m). The model can simulate also a number of consecutive years. Sensitivity analysis of model's parameters showed that the maximum nitrogen quota n(max) rate is the most sensitive parameter in this model. The results simulations imply that light intensity is one of the most important abiotic factors, the diminution of which can cause an important reduction in seagrass density. (C) 2003 Elsevier B.V. All rights reserved.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/11515

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
elkaleyetalEcolmod.pdfAuthor postprint510.57 kBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.