Shellfish-DEPOMOD: Modelling the biodeposition from suspended shellfish aquaculture and assessing benthic effects

Weise, A.; Cromey, Chris J; Callier, Myriam D.; Archambault, Philippe; Chamberlain, Jon; McKindsey, Christopher W.

doi:10.1016/j.aquaculture.2008.12.001

Cited by 118 publications

(78 citation statements)

References 48 publications

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“…In other instances, presumably with higher water flow than in the aforementioned studies, little evidence has been found that individual growth was affected by intraspecific (Fréchette et al 1996;Sénéchal et al 2008) or interspecific competition (Lesser et al 1992) in mussel suspension culture. Current speed near our study site was measured for one month in 2005 (Weise et al 2009). Nominal height of the collectors is about 1 to 5 m above the bottom (Lachance-Bernard 2008).…”

Section: Discussionmentioning

confidence: 99%

Body size, population density and factors regulating suspension-cultured blue mussel (Mytilusspp.) populations

Fréchette¹,

Lachance-Bernard²,

Daigle

2010

Aquat. Living Resour.

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-We sampled 27 month-old mussel populations grown on collector ropes in Cascapédia Bay, Quebec, to test whether density-dependent growth was present concomitantly to self-thinning, a process which was previously shown to occur in this system and thought to be driven by spatial constraints. Biomass-density curves of raw samples were curvilinear, suggesting density-dependent growth. However, at least two cohorts were present. Fractionating the samples on the basis of age yielded a linear relationship for the main, 2 year-old cohort. This implies density-independent growth and rules out food regulation in these populations. Therefore, our results are consistent with inferences drawn previously from the values of the self-thinning exponent, that is, space-regulated self-thinning. Our results suggest that curvilinearity of the raw biomass-density curves resulted from a bias caused by including the 1 year-old cohort and spat of the year in the analysis. This conclusion is supported by a model showing that samples with mixed cohorts can yield linear, concave or convex biomass-density curves without density-dependent growth. The shape of the curves depends on the scaling relationships between cohort abundances. It appears that the shape of biomass-density curves may be a useful complementary criterion -in addition to the value of self-thinning exponents -for the identification of food or space as factors regulating cultured populations. Key words:Mussel culture / Population regulation / Mussel density / Self-thinning Résumé -Le processus d'autoréduction (mortalité par compétition, "self-thinning") observé chez les populations de moules élevées sur collecteurs de naissain dans la baie de Cascapédia (Québec) a été attribué à la compétition pour l'espace. Dans le but de déterminer si la compétition affecte également la croissance individuelle, nous avons étudié la courbe biomasse-densité d'échantillons en culture depuis 27 mois. Nous observons des courbes concaves, ce qui à première vue correspond à un processus dépendant de la densité. Toutefois, les échantillons comptaient au moins deux cohortes. L'analyse des moules de la cohorte principale, âgée de 2 ans, indique une relation linéaire. La croissance est donc indépendante de la densité, ce qui exclut toute forme de compétition pour la nourriture et confirme les conclusions des travaux antérieurs, fondées sur la valeur de l'exposant de la fonction d'autoréduction. L'analyse suggère que la concavité des courbes biomasse-densité brutes s'explique par un biais causé par l'inclusion des moules âgées d'un an et du naissain dans l'analyse. Cette conclusion est appuyée par un modèle de l'effet du mélange des cohortes. Ce modèle indique qu'en absence de compétition, les courbes biomasse-densité peuvent être linéaires, convexes ou concaves, la forme de la relation dépendant de la relation entre les effectifs des cohortes. Il semble que la courbe biomasse-densité soit un outil diagnostique utile -s'ajoutant à l'exposant de la fonction d'autoréduction -pour la mise en évid...

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Section: Discussionmentioning

confidence: 99%

Body size, population density and factors regulating suspension-cultured blue mussel (Mytilusspp.) populations

Fréchette¹,

Lachance-Bernard²,

Daigle

2010

Aquat. Living Resour.

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“…Dale et al, 2008), and in the present application we assumed a profile for the bioirrigation rate of the type reported by Canavan et al (2006) for a coastal lake (formulation reported in Table 2). Organic matter oxidation is described by means of a multi-G model (Westrich and Berner, 1984) with three types of organic matter: labile (OM1), semi-refractory (OM2), and mussel biodeposits (faeces + pseudofaeces) (OM3), following the approach by Van Cappellen and Wang (1996). Oxic and anoxic pathways of organic matter oxidation, as well as secondary redox reactions, are included (Table A2).…”

Section: Model Theory: Mussel Farm Deposition Model and Early Diagenementioning

confidence: 99%

“…The modelling study by Hartstein and Stevens (2005) applied a sensitivity approach to study the organic deposition of Perna canaliculus in New Zealand, comparing sites characterised by different hydrodynamic exposure and assuming an arbitrary particle release rate. Weise et al (2009) modelled mussel biodeposition at different sites on the eastern coast of Canada, imposing organic wastage from the farm lines as model input, on the basis of site-specific field measurements (Callier et al, 2006) and extrapolation from other sites. It is worth remarking here that the integration of growth and deposition models can represent a resources which allows the model to be applied at different sites in which environmental variables are known, without the need of performing in situ estimations of biodeposits' production.…”

Section: Integrated Model Featuresmentioning

confidence: 99%

“…The complete set of parameters used in the deposition model and their values and references are reported in Table A1 (Appendix). Settling velocities for mussel faeces and pseudofaeces were set to 1.0 ± 0.1 and 0.1 ± 0.01 cm s −1 (Weise et al, 2009;Chamberlain, 2002). The settling velocity of each particle was randomly selected from a Gaussian distribution.…”

Section: Model Theory: Mussel Farm Deposition Model and Early Diagenementioning

confidence: 99%

“…Only recently has the quantitative understanding of these processes received attention in relation to the assessment of "positive modifications" induced by shellfish farm deposition on benthic habitats (McKindsey et al, 2011). The influence of local hydrodynamics on the fluxes of organic matter deposited by mussel farms was the focus of two modelling studies, by Hartstein and Stevens (2005) and Weise et al (2009). Based on these works it was possible to have a clearer mechanistic understanding of the relationship between the values of flux and the area affected by organic deposition and the different farming conditions (in terms of local hydrodynamics and farm characteristics -depth and geometry).…”

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Modelling biogeochemical processes in sediments from the north-western Adriatic Sea: response to enhanced particulate organic carbon fluxes

et al. 2018

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Abstract. This work presents the result of a study carried out in the north-western Adriatic Sea, by combining two different types of biogeochemical models with field sampling efforts. A longline mussel farm was taken as a local source of perturbation to the natural particulate organic carbon (POC) downward flux. This flux was first quantified by means of a pelagic model of POC deposition coupled to sediment trap data, and its effects on sediment bioirrigation capacity and organic matter (OM) degradation pathways were investigated constraining an early diagenesis model by using original data collected in sediment porewater. The measurements were performed at stations located inside and outside the area affected by mussel farm deposition. Model-predicted POC fluxes showed marked spatial and temporal variability, which was mostly associated with the dynamics of the farming cycle. Sediment trap data at the two sampled stations (inside and outside of the mussel farm) showed average POC background flux of 20.0-24.2 mmol C m −2 d −1 . The difference of organic carbon (OC) fluxes between the two stations was in agreement with model results, ranging between 3.3 and 14.2 mmol C m −2 d −1 , and was primarily associated with mussel physiological conditions. Although restricted, these changes in POC fluxes induced visible effects on sediment biogeochemistry. Observed oxygen microprofiles presented a 50 % decrease in oxygen penetration depth (from 2.3 to 1.4 mm), accompanied by an increase in the O 2 influx at the station below the mussel farm (19-31 versus 10-12 mmol O 2 m −2 d −1 ) characterised by higher POC flux. Dissolved inorganic carbon (DIC) and NH + 4 concentrations showed similar behaviour, with a more evident effect of bioirrigation underneath the farm. This was confirmed through constraining the early diagenesis model, of which calibration leads to an estimation of enhanced and shallower bioirrigation underneath the farm: bioirrigation rates of 40 yr −1 and irrigation depth of 15 cm were estimated inside the shellfish deposition footprint versus 20 yr −1 and 20 cm outside. These findings were confirmed by independent data on macrofauna composition collected at the study site. Early diagenesis model results indicated a larger organic matter mineralisation below the mussel farm (11.1 versus 18.7 mmol m −2 d −1 ), characterised by similar proportions between oxic and anoxic degradation rates at the two stations, with an increase in the absolute values of oxygen consumed by OM degradation and reduced substances re-oxidation underneath the mussel farm.

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The Role of Shellfish Farms in Provision of Ecosystem Goods and Services

Ferreira¹,

Hawkins²,

Bricker³

2011

Shellfish Aquaculture and the Environment

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Shellfish-DEPOMOD: Modelling the biodeposition from suspended shellfish aquaculture and assessing benthic effects

Cited by 118 publications

References 48 publications

Body size, population density and factors regulating suspension-cultured blue mussel (Mytilusspp.) populations

Body size, population density and factors regulating suspension-cultured blue mussel (Mytilusspp.) populations

Modelling biogeochemical processes in sediments from the north-western Adriatic Sea: response to enhanced particulate organic carbon fluxes

The Role of Shellfish Farms in Provision of Ecosystem Goods and Services

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