Literature DB >> 25935812

The effect of sediment mimicking drill cuttings on deep water rhodoliths in a flow-through system: Experimental work and modeling.

Marcia A O Figueiredo1, Ingvar Eide2, Marcia Reynier3, Alexandre B Villas-Bôas4, Frederico T S Tâmega5, Carlos Gustavo Ferreira6, Ingunn Nilssen7, Ricardo Coutinho6, Ståle Johnsen8.   

Abstract

The impact of sediment coverage on two rhodolith-forming calcareous algae species collected at 100m water depth off the coast of Brazil was studied in an experimental flow-through system. Natural sediment mimicking drill cuttings with respect to size distribution was used. Sediment coverage and photosynthetic efficiency (maximum quantum yield of charge separation in photosystem II, ϕPSIImax) were measured as functions of light intensity, flow rate and added amount of sediment once a week for nine weeks. Statistical experimental design and multivariate data analysis provided statistically significant regression models which subsequently were used to establish exposure-response relationship for photosynthetic efficiency as function of sediment coverage. For example, at 70% sediment coverage the photosynthetic efficiency was reduced 50% after 1-2weeks of exposure, most likely due to reduced gas exchange. The exposure-response relationship can be used to establish threshold levels and impact categories for environmental monitoring.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Calcareous algae; Correlation analysis; Environmental impact; Multivariate data analysis; Photosynthesis; Sediment load

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Year:  2015        PMID: 25935812     DOI: 10.1016/j.marpolbul.2015.04.040

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


  1 in total

1.  Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation.

Authors:  Jonas Osterloff; Ingunn Nilssen; Ingvar Eide; Marcia Abreu de Oliveira Figueiredo; Frederico Tapajós de Souza Tâmega; Tim W Nattkemper
Journal:  PLoS One       Date:  2016-06-10       Impact factor: 3.240

  1 in total

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