Bivalve aquaculture-environment interactions in the context of climate change

Coastal embayments are at risk of impacts by climate change drivers such as ocean warming, sea level rise and alteration in precipitation regimes. The response of the ecosystem to these drivers is highly dependent on their magnitude of change, but also on physical characteristics such as bay morphol...

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Published in:Global change biology Vol. 22; no. 12; pp. 3901 - 3913
Main Authors: Filgueira, Ramón, Guyondet, Thomas, Comeau, Luc A., Tremblay, Réjean
Format: Journal Article
Language:English
Published: England Blackwell Publishing Ltd 01-12-2016
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Summary:Coastal embayments are at risk of impacts by climate change drivers such as ocean warming, sea level rise and alteration in precipitation regimes. The response of the ecosystem to these drivers is highly dependent on their magnitude of change, but also on physical characteristics such as bay morphology and river discharge, which play key roles in water residence time and hence estuarine functioning. These considerations are especially relevant for bivalve aquaculture sites, where the cultured biomass can alter ecosystem dynamics. The combination of climate change, physical and aquaculture drivers can result in synergistic/antagonistic and nonlinear processes. A spatially explicit model was constructed to explore effects of the physical environment (bay geomorphic type, freshwater inputs), climate change drivers (sea level, temperature, precipitation) and aquaculture (bivalve species, stock) on ecosystem functioning. A factorial design led to 336 scenarios (48 hydrodynamic × 7 management). Model outcomes suggest that the physical environment controls estuarine functioning given its influence on primary productivity (bottom‐up control dominated by riverine nutrients) and horizontal advection with the open ocean (dominated by bay geomorphic type). The intensity of bivalve aquaculture ultimately determines the bivalve–phytoplankton trophic interaction, which can range from a bottom‐up control triggered by ammonia excretion to a top‐down control via feeding. Results also suggest that temperature is the strongest climate change driver due to its influence on the metabolism of poikilothermic organisms (e.g. zooplankton and bivalves), which ultimately causes a concomitant increase of top‐down pressure on phytoplankton. Given the different thermal tolerance of cultured species, temperature is also critical to sort winners from losers, benefiting Crassostrea virginica over Mytilus edulis under the specific conditions tested in this numerical exercise. In general, it is predicted that bays with large rivers and high exchange with the open ocean will be more resilient under climate change when bivalve aquaculture is present.
Bibliography:Canadian Department of Fisheries and Oceans
istex:1E7D45F0996CC546D6BF61E5AECA6DF280646904
ark:/67375/WNG-MCGSFS2S-8
Figure S1. Model grids and bivalve lease distribution. Figure S2. Forcing for the hydrodynamic model simulations. Figure S3. Forcing boundary conditions for ecosystem model simulations. Figure S4. Chlorophyll in non-aquaculture scenarios. Figure S5. Primary Productivity (PP) and chlorophyll concentration in non-aquaculture scenarios. Figure S6. Comparative effects of mussels and oysters on nutrient and phytoplankton dynamics. Box S1. Ecosystem model equations. Table S1. Ecosystem model parameters. Table S2. Main characteristics of the embayments.
Aquatic Climate Change Adaptation Services Program - No. GULF-9-2014-2016
ArticleID:GCB13346
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1354-1013
1365-2486
DOI:10.1111/gcb.13346