Towards environmentally friendly finfish farming: A potential for mussel farms to compensate fish farm effluents

[1]  U. Raudsepp,et al.  Assessing the potential for sea-based macroalgae cultivation and its application for nutrient removal in the Baltic Sea. , 2022, Science of the Total Environment.

[2]  Liye Yu,et al.  Growth performance and ecological services evaluation of razor clams based on dynamic energy budget model. , 2022, Journal of environmental management.

[3]  R. Filgueira,et al.  The role of Dynamic Energy Budgets in conservation physiology , 2021, Conservation physiology.

[4]  M. Futter,et al.  Stakeholder Perspectives on Blue Mussel Farming to Mitigate Baltic Sea Eutrophication , 2021, Sustainability.

[5]  F. Melzner,et al.  Salinity Driven Selection and Local Adaptation in Baltic Sea Mytilid Mussels , 2021, Frontiers in Marine Science.

[6]  B. Worm,et al.  Recovery of assessed global fish stocks remains uncertain , 2021, Proceedings of the National Academy of Sciences.

[7]  B. Pecorino,et al.  Circular Economy Models in Agro-Food Systems: A Review , 2021, Sustainability.

[8]  D. Little,et al.  A 20-year retrospective review of global aquaculture , 2021, Nature.

[9]  Gerrit Timmerhaus,et al.  The optimum velocity for Atlantic salmon post-smolts in RAS is a compromise between muscle growth and fish welfare , 2021, Aquaculture.

[10]  B. Sadoul,et al.  Using the Dynamic Energy Budget theory to evaluate the bioremediation potential of the polychaete Hediste diversicolor in an integrated multi-trophic aquaculture system , 2020, Ecological Modelling.

[11]  Ü. Suursaar Combined impact of summer heat waves and coastal upwelling in the Baltic Sea , 2020 .

[12]  R. Filgueira,et al.  Modelling bivalve culture - Eutrophication interactions in shallow coastal ecosystems. , 2020, Marine pollution bulletin.

[13]  Sebastiaan A.L.M. Kooijman,et al.  The standard dynamic energy budget model has no plausible alternatives , 2020 .

[14]  G. Schernewski,et al.  Potential and Feasibility of Mytilus spp. Farming Along a Salinity Gradient , 2020, Frontiers in Marine Science.

[15]  K. Timmermann,et al.  A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea. , 2020, The Science of the total environment.

[16]  S. Lien,et al.  Trans-Atlantic Distribution and Introgression as Inferred from Single Nucleotide Polymorphism: Mussels Mytilus and Environmental Factors , 2020, Genes.

[17]  A. Rosemarin,et al.  Identifying barriers and opportunities for a circular phosphorus economy in the Baltic Sea region. , 2019, Water research.

[18]  H. Skov,et al.  Cleaning up seas using blue growth initiatives: Mussel farming for eutrophication control in the Baltic Sea. , 2019, The Science of the total environment.

[19]  I. Gren The economic value of mussel farming for uncertain nutrient removal in the Baltic Sea , 2019, PloS one.

[20]  Junbo Zhang,et al.  Bio mitigation based on integrated multi trophic aquaculture in temperate coastal waters: practice, assessment, and challenges , 2019, Latin American Journal of Aquatic Research.

[21]  K. Lika,et al.  A DEB model for European sea bass (Dicentrarchus labrax): Parameterisation and application in aquaculture , 2019, Journal of Sea Research.

[22]  H. Kautsky,et al.  Random forest assessment of correlation between environmental factors and genetic differentiation of populations: Case of marine mussels Mytilus , 2019, Oceanologia.

[23]  A. Smaal,et al.  Goods and Services of Marine Bivalves , 2018, Springer International Publishing.

[24]  R. Filgueira,et al.  Performance measures and models for open‐water integrated multi‐trophic aquaculture , 2018, Reviews in Aquaculture.

[25]  S. H. Bennekou,et al.  Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms , 2018, EFSA journal. European Food Safety Authority.

[26]  R. Howarth,et al.  A Century of Legacy Phosphorus Dynamics in a Large Drainage Basin , 2018, Global Biogeochemical Cycles.

[27]  Berit Hasler,et al.  The Baltic Sea as a time machine for the future coastal ocean , 2018, Science Advances.

[28]  G. Sarà,et al.  Integrating multiple stressors in aquaculture to build the blue growth in a changing sea , 2018, Hydrobiologia.

[29]  E. Gustafsson,et al.  Key processes in the coupled carbon, nitrogen, and phosphorus cycling of the Baltic Sea , 2017, Biogeochemistry.

[30]  S. Niiranen,et al.  The importance of benthic–pelagic coupling for marine ecosystem functioning in a changing world , 2017, Global change biology.

[31]  H. Hinrichsen,et al.  Combining hydrodynamic modelling with genetics: can passive larval drift shape the genetic structure of Baltic Mytilus populations? , 2017, Molecular ecology.

[32]  R. Filgueira,et al.  Bivalve aquaculture‐environment interactions in the context of climate change , 2016, Global change biology.

[33]  K. Timmermann,et al.  The use of shellfish for eutrophication control , 2016, Aquaculture International.

[34]  R. Filgueira,et al.  Informing Marine Spatial Planning (MSP) with numerical modelling: A case-study on shellfish aquaculture in Malpeque Bay (Eastern Canada). , 2015, Marine pollution bulletin.

[35]  J. Kotta,et al.  Establishing Functional Relationships between Abiotic Environment, Macrophyte Coverage, Resource Gradients and the Distribution of Mytilus trossulus in a Brackish Non-Tidal Environment , 2015, PloS one.

[36]  M. Maar,et al.  Growth potential of blue mussels (M. edulis) exposed to different salinities evaluated by a Dynamic Energy Budget model , 2015 .

[37]  Eliécer Díaz,et al.  Sediment macrofauna communities at a small mussel farm in the northern Baltic proper , 2015 .

[38]  B. Hasler,et al.  Mussels as a tool for mitigation of nutrients in the marine environment. , 2014, Marine Pollution Bulletin.

[39]  M. BlairJennifer,et al.  Growth of rainbow trout (Oncorhynchus mykiss) in warm-temperate lakes: implications for environmental change , 2013 .

[40]  T. Chopin,et al.  Open-water integrated multi-trophic aquaculture: environmental biomitigation and economic diversification of fed aquaculture by extractive aquaculture , 2012 .

[41]  Sebastiaan A.L.M. Kooijman,et al.  The “covariation method” for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach , 2011 .

[42]  Sebastiaan A.L.M. Kooijman,et al.  The “covariation method” for estimating the parameters of the standard Dynamic Energy Budget model II: Properties and preliminary patterns , 2011 .

[43]  J. Carstensen,et al.  Hypoxia Is Increasing in the Coastal Zone of the Baltic Sea , 2011, Environmental science & technology.

[44]  Malin L. Pinsky,et al.  Unexpected patterns of fisheries collapse in the world's oceans , 2011, Proceedings of the National Academy of Sciences.

[45]  M. Holmer Environmental issues of fish farming in offshore waters: perspectives, concerns and research needs. , 2010 .

[46]  Yngvar Olsen,et al.  Will the Oceans Help Feed Humanity? , 2009, BioScience.

[47]  K. Herkül,et al.  Effects of the suspension feeding mussel Mytilus trossulus on a brackish water macroalgal and associated invertebrate community , 2009 .

[48]  H. Paerl,et al.  Controlling Eutrophication: Nitrogen and Phosphorus , 2009, Science.

[49]  D. Conley,et al.  Internal Ecosystem Feedbacks Enhance Nitrogen-fixing Cyanobacteria Blooms and Complicate Management in the Baltic Sea , 2007, Ambio.

[50]  Tânia Sousa,et al.  Thermodynamics of organisms in the context of dynamic energy budget theory. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[51]  D. Krause‐Jensen,et al.  Monitoring nutrient release from fish farms with macroalgal and phytoplankton bioassays , 2006 .

[52]  H. Mooney,et al.  Effect of aquaculture on world fish supplies , 2000, Nature.

[53]  G. Sarà,et al.  Dynamic Energy Budget provides mechanistic derived quantities to implement the ecosystem based management approach , 2019, Journal of Sea Research.

[54]  N. Kautsky Role of biodeposition by Mytilus edulis in the ciculation of matter and nutrients in a Baltic coastal ecosystim. , 1987 .