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Effect of different substrata on rhizome growth,leaf biometry and shoot density of Posidonia oceanica
Institution:1. Dipartimento di Scienze della Terra e del Mare (DiSTeM), Università degli Studi di Palermo, Viale delle Scienze Ed. 16, 90128, Palermo, Italy;2. Dipartimento di Scienze Economiche, Aziendali e Statistiche (SEAS), Università degli Studi di Palermo, Viale delle Scienze Ed. 13, 90128, Palermo, Italy;1. Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy;2. Laboratorio di Proteomica, Dipartimento di Chimica e Tecnologie Chimiche, Università della Calabria, Arcavacata di Rende 87036, Italy;1. Department of Earth and Marine Sciences, University of Palermo, Viale delle Scienze, Ed. 16, I-90128 Palermo, Italy;2. CoNISMa URL Palermo, Via Archirafi n. 18, I-90123 Palermo, Italy;1. Station de Recherches Sous-marines et Oceanographiques (STARESO), Pointe Revellata, BP 33, 20260 Calvi, France;2. EqEL – FRES 3041, UMR CNRS SPE 6134, University of Corsica, Campus Grimaldi, BP 52, 20250 Corte, France;3. Laboratory of Oceanology - MARE Centre - University of LIEGE - B6 C - 4000 LIEGE - Sart Tilman, Belgium;1. Dipartimento di Scienze della Terra e del Mare, Università di Palermo, Viale delle Scienze, Ed. 16, 90128 Palermo, Italy;2. Dipartimento di Scienze Economiche, Aziendali e Statistiche, Università di Palermo, Viale delle Scienze, Ed. 13, 90128 Palermo, Italy
Abstract:The effects of different substratum typologies on Posidonia oceanica growth and morphology were estimated in four Sicilian meadows using Generalized and Linear Mixed Models combined with retrodating and biometric analyses. Substratum exerted a multiple effect, resulting in different biometric features for P. oceanica shoots settled on rock from those growing on sand and matte. On rock, values for growth rate, leaf length and shoot surface were lower than those on other substrata, with 42%, 23% and 32% the highest degree of difference respectively. The present study may have interesting methodological consequences for the comprehensive understanding of the causative variables potentially affecting meadows features and their health status. The importance of substratum in the prediction of likely biometry changes in P. oceanica meadows, means that knowledge of substratum type should receive due attention in the future to derive reliable estimates of meadow status.
Keywords:Biomonitoring  Benthic ecology  Seagrass  Substratum  Lepidochronology  Leaf biometry  Shoot age  GLMM  LMM
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