Literature DB >> 24119311

Towards a predictive model to assess the natural position of the Posidonia oceanica seagrass meadows upper limit.

Matteo Vacchi1, Monica Montefalcone2, Chiara F Schiaffino3, Valeriano Parravicini4, Carlo Nike Bianchi2, Carla Morri2, Marco Ferrari2.   

Abstract

The upper portion of the meadows of the protected Mediterranean seagrass Posidonia oceanica occurs in the region of the seafloor mostly affected by surf-related effects. Evaluation of its status is part of monitoring programs, but proper conclusions are difficult to draw due to the lack of definite reference conditions. Comparing the position of the meadow upper limit with the beach morphodynamics (i.e. the distinctive type of beach produced by topography and wave climate) provided evidence that the natural landwards extension of meadows can be predicted. An innovative model was therefore developed in order to locate the region of the seafloor where the meadow upper limit should lie in natural conditions (i.e. those governed only by hydrodynamics, in absence of significant anthropogenic impact). This predictive model was validated in additional sites, which showed perfect agreement between predictions and observations. This makes the model a valuable tool for coastal management.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ecological modelling; Mediterranean Sea; Nearshore hydrodynamics; Posidonia oceanica; Reference conditions; Seagrass

Mesh:

Year:  2013        PMID: 24119311     DOI: 10.1016/j.marpolbul.2013.09.038

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  A novel GIS-MCDA-based spatial habitat suitability model for Posidonia oceanica in the Mediterranean.

Authors:  Tolga Bakirman; Mustafa Umit Gumusay
Journal:  Environ Monit Assess       Date:  2020-03-12       Impact factor: 2.513

2.  Recruitment and Patch Establishment by Seed in the Seagrass Posidonia oceanica: Importance and Conservation Implications.

Authors:  Elena Balestri; Flavia Vallerini; Claudio Lardicci
Journal:  Front Plant Sci       Date:  2017-06-16       Impact factor: 5.753

  2 in total

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