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Preliminary model of tunicate infestation impacts on seston availability and organic sedimentation in longline mussel farms
- Source :
- Aquaculture. 465:387-394
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- The productivity of a bivalve farm is largely determined by the availability of organic seston and the level of competition for that naturally limited resource. Farm production may also be curtailed by regulatory or certification frameworks concerned with controlling biodeposition, i.e. the sedimentation of organic material. Fouling communities dominated by filter-feeding tunicates which both compete for food resources and increase biodeposition levels thus have the potential to further limit bivalve farm productivity. In the present study a farm-scale modelling approach was used to quantify the effects of the tunicate Ciona intestinalis on longline mussel farms. Both cultured and fouling species were simulated using physiological modules that took into account their interactions with organic seston dynamics in terms of filtration and biodeposition, and also predicted their growth over a typical growing season. Various treatment scenarios for reducing C. intestinalis infestation levels were also analyzed. Model results showed that C. intestinalis populations can rapidly dominate mussel sleeves in terms of their overall biomass and contribution to organic sedimentation. Early treatments during the tunicate reproductive season were the most effective at controlling the level of infestation and its impacts on sestonic food availability, mussel production and organic sedimentation. The proposed generic modelling approach could potentially become an essential aquaculture management tool, especially in the context of biological invasions. Statement of relevance The growing importance of bivalve aquaculture combined with its vulnerability to environmental conditions compels to ensure its sustainable development and management. Biofouling can potentially disrupt farm productivity and become a nuisance with profound socio-economic consequences. The numerical tool developed in this study provides valuable information for the management and mitigation of fouling by filter-feeding species on mussel farms.
- Subjects :
- 0106 biological sciences
Biomass (ecology)
Ecology
business.industry
010604 marine biology & hydrobiology
Seston
Growing season
Context (language use)
04 agricultural and veterinary sciences
Mussel
Aquatic Science
Sedimentation
Biology
01 natural sciences
Fishery
Productivity (ecology)
Aquaculture
040102 fisheries
0401 agriculture, forestry, and fisheries
business
Subjects
Details
- ISSN :
- 00448486
- Volume :
- 465
- Database :
- OpenAIRE
- Journal :
- Aquaculture
- Accession number :
- edsair.doi...........aa44817cdfaf643fe6ecc010e73f68ed
- Full Text :
- https://doi.org/10.1016/j.aquaculture.2016.09.026