Scenarios of fish waste deposition at the sub-lagoon scale: a modelling approach for aquaculture zoning and site selection

Author:

Chary Killian1ORCID,Callier Myriam D1,Covès Denis1,Aubin Joël2,Simon Julien3,Fiandrino Annie4

Affiliation:

1. MARBEC, Univ Montpellier, IRD, CNRS, Palavas-les-Flots, Ifremer 34250, France

2. UMR 1069 INRA AGROCAMPUS-OUEST SAS, Rennes 35042, France

3. Ifremer, Laboratoire de Technologie et de Biologie Halieutiques, RBE/STH/LTBH, Lorient 56100, France

4. MARBEC, Univ Montpellier, IRD, CNRS, Sète, Ifremer 34200, France

Abstract

Abstract Spatial planning, including zoning and site-selection steps, is necessary to determine locations that minimize environmental impacts of aquaculture and respect ecosystem carrying capacities. This study aimed to analyse potential benthic waste deposition in a broad range of fish farming situations to facilitate zoning. To this end, we simulated waste dispersion for 54 aquaculture scenarios combining three red drum (Sciaenops ocellatus) farm types (Small, Medium, and Large) based on real farm characteristics and 36 sites with contrasting hydrodynamics in Mayotte’s North-East Lagoon. Key forcing variables and parameters of the particle-dispersion model for farms (layout and solid waste fluxes), species (feed- and faeces-settling velocities) and sites (depth and barotropic currents) were obtained. From the outputs of the 54 simulations, relationships between hydrodynamic regimes and deposition rates, area of influence and distance of influence of the farm were analysed. Critical limits of current intensity that reduced deposition rate below selected deposition thresholds were identified. For instance, to prevent deposition rates greater than 12 kg solids m−2 year−1, the mean current intensity should exceed 10.2 and 6.8 cm s−1 for Medium and Large farms, respectively. The study confirmed that production level is not the main factor that influences deposition rates; instead, management of the entire farm (cage position, distance between cages) must be considered to predict impacts more accurately and guide site selection.

Funder

Natural Marine Park of Mayotte and the Mayotte County Council

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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