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MERAMOD: predicting the deposition and benthic impact of aquaculture in the eastern Mediterranean Sea

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TLDR
The model could not predict adequately the flux to traps spaced 2 m apart in the high-flux zone underneath cages where variability between trap observations was high and the averaged model flux predictions resulted in a performance of ± 49%.
Abstract
A model, composed of coupled particle tracking and benthic response modules, for predicting waste solids flux and benthic impacts of gilthead sea bream (Sparus aurata L) and sea bass (Dicentrarchus labrax L) aquaculture, was tested at six sites with different hydrodynamics, bathymetries and biomasses in the Aegean and Ionian Seas, Eastern Mediterranean with observations of sediment trap flux and benthic impact indicators Seven sediment trap validation studies were conducted that varied in design with traps deployed either on the sea bed, attached to nets or in the water column Model predictions of flux to traps spaced 5 m apart up to 50 m from the cages over a 13 d period were statistically significant (r2 = 061, n = 57, p ≤ 005) However, the model could not predict adequately the flux to traps spaced 2 m apart in the high-flux zone underneath cages where variability between trap observations was high In this high-flux zone underneath cages, the averaged model flux predictions resulted in a performance of ± 49% Statistically significant relationships were established at four sites; between modelled flux and either benthic fauna impact indicator species (S), abundance (A), A/S ratio, Shannon Wiener Index or Biomass Fractionation Index (BFI), (r2 = 082, 060, 057, 067 and 048, respectively; n = 24, p ≤ 005) Two other sites, which did not exhibit an abundance peak in enriched zones, did not fit these relationships Using relative abundance of taxonomic groups, a modelled flux of 41 g m-2 d-1 was a useful boundary; on either side of this boundary, clear trends occurred in pollutant tolerant and intolerant species

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The Environmental Risks Associated With the Development of Seaweed Farming in Europe - Prioritizing Key Knowledge Gaps

TL;DR: In this article, a systematic review of the ecosystem changes likely to be associated with a developing seaweed aquaculture industry is presented, highlighting the current knowledge gaps and providing research priorities to address them.
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A GIS-based tool for an integrated assessment of spatial planning trade-offs with aquaculture

TL;DR: The AquaSpace tool is introduced, one of the first Geographic Information System (GIS)-based planning tools empowering an integrated assessment and mapping of 30 indicators reflecting economic, environmental, inter-sectorial and socio-cultural risks and opportunities for proposed aquaculture systems in a marine environment.
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Effect of sediment grain size and bioturbation on decomposition of organic matter from aquaculture

TL;DR: In this paper, the behavior of sediments with two types of predominant grain size (sandy and muddy sediments) under two levels of organic enrichment, related to mussel and fish farming, was investigated.
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Environmental assessment of seabass (Dicentrarchus labrax) and seabream (Sparus aurata) farming from a life cycle perspective: A case study of a Tunisian aquaculture farm

TL;DR: Results of this study indicate that seabass rearing has lower mean impact than seabream rearing for all the impact categories considered, however, no significant differences were observed in all theimpact categories except the global warming.
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Integrated multi-trophic aquaculture of red drum (Sciaenops ocellatus) and sea cucumber (Holothuria scabra): Assessing bioremediation and life-cycle impacts

TL;DR: The methodology defined here can be a powerful tool to predict the magnitude of environmental benefits that can be expected from new and complex production systems and to show potential impact transfer between spatial scales.
References
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Biometery: The principles and practice of statistics in biological research

TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
Book

Biometry: The Principles and Practice of Statistics in Biological Research

TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
Journal ArticleDOI

Non-parametric multivariate analyses of changes in community structure

TL;DR: Which elements of this often-quoted strategy for graphical representation of multivariate (multi-species) abundance data have proved most useful in practical assessment of community change resulting from pollution impact are identified.
Journal ArticleDOI

DEPOMOD—modelling the deposition and biological effects of waste solids from marine cage farms

TL;DR: A computer particle tracking model DEPOMOD was developed that predicts the solids accumulation on the seabed arising from a fish farm and associated changes in the benthic faunal community and was validated using sediment trap studies.
Journal ArticleDOI

Organic carbon content of sediments as an indicator of stress in the marine benthos

TL;DR: In this paper, synoptic data on the structure of macroinfaunal communities and total organic carbon (TOC) content of sediment were obtained from 951 stations representing 7 coastal regions of the world: the northern Black Sea (Crimean and Caucasian coasts); eastern Mediterranean Sea (Greece); North Sea (Ekofisk oil field); Firth of Clyde and Liverpool Bay, UK; Seto Inland Sea, Japan; Boston Harbor and Massachusetts Bay, USA and estuaries of the southeastern USA.
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