6.5 Concluding Remarks
Aquaculture can be core to Blue Growth targets with benefits exceeding the private
benefits. The sustainable and efficient management of aquaculture production, at
micro- but also at macro- level, requires the use of cutting-edge technology, novel IT
applications, and integrated socio-economic tools. The tools and the methodology
developed within the scope of the BlueBRIDGE project allow for the use of
advanced IT applications and facilities and the introduction of the wider socioeconomic and environmental effects of aquaculture into the production management.
This can support well-informed management and decision-making. The tools and
methods developed facilitate the estimation of an integrated value of production that
looks beyond output maximization. Developing and proposing easy-to-use tools
enable all producers and the sector overall to engage in the technology race and use it
at their own benefit. From a policy perspective, the outputs of the project enable the
well-informed and forward-looking decision-making and target setting.
References
Arnason, T., Bjornsson, B., Steinarsson, A., & Oddgeirsson, M. (2009). Effects of temperature and
body weight on growth rate and feed conversion ratio in turbot (Scophthalmus maximus).
Aquaculture, 295, 218–225.
Jobling, M. (2008). Environmental factors and rates of development and growth. In P. J. Hart &
J. D. Reynolds (Eds.), Handbook of fish biology and fisheries (Volume 1: Fish biology)
(pp. 97–122). Blackwell Publishing Ltd. https://doi.org/10.1002/9780470693803.ch5.
Mayer, P., Estruch, V., Blasco, J., & Jover, M. (2008). Predicting the growth of gilthead sea bream
(Sparus aurata L.) farmed in marine cages under production conditions using temperature-and
time-dependent models. Aquaculture Research, 1–7.
Petridis, D., & Rogdakis, L. (1996). The development of growth and feeding equation for sea
bream, Sparus aurata L., culture. Aquaculture Research, 27, 413–419.
Tsani, S., & Koundouri, P. (2018). A methodological note for the development of integrated
aquaculture production models, with P. Koundouri. Frontiers in Marine Science, 4, 406.
https://doi.org/10.3389/fmars.2017.00406.
Zhou, C., Xu, D., Lin, K., Sun, C., & Yang, X. (2017). Intelligent feeding control methods in
aquaculture with an emphasis on fish: A review. Reviews in Aquaculture, 1–19.
6 Techno- and Socio-economic Models of Production with Application to. . .
103
Aquaculture can be core to Blue Growth targets with benefits exceeding the private
benefits. The sustainable and efficient management of aquaculture production, at
micro- but also at macro- level, requires the use of cutting-edge technology, novel IT
applications, and integrated socio-economic tools. The tools and the methodology
developed within the scope of the BlueBRIDGE project allow for the use of
advanced IT applications and facilities and the introduction of the wider socioeconomic and environmental effects of aquaculture into the production management.
This can support well-informed management and decision-making. The tools and
methods developed facilitate the estimation of an integrated value of production that
looks beyond output maximization. Developing and proposing easy-to-use tools
enable all producers and the sector overall to engage in the technology race and use it
at their own benefit. From a policy perspective, the outputs of the project enable the
well-informed and forward-looking decision-making and target setting.
References
Arnason, T., Bjornsson, B., Steinarsson, A., & Oddgeirsson, M. (2009). Effects of temperature and
body weight on growth rate and feed conversion ratio in turbot (Scophthalmus maximus).
Aquaculture, 295, 218–225.
Jobling, M. (2008). Environmental factors and rates of development and growth. In P. J. Hart &
J. D. Reynolds (Eds.), Handbook of fish biology and fisheries (Volume 1: Fish biology)
(pp. 97–122). Blackwell Publishing Ltd. https://doi.org/10.1002/9780470693803.ch5.
Mayer, P., Estruch, V., Blasco, J., & Jover, M. (2008). Predicting the growth of gilthead sea bream
(Sparus aurata L.) farmed in marine cages under production conditions using temperature-and
time-dependent models. Aquaculture Research, 1–7.
Petridis, D., & Rogdakis, L. (1996). The development of growth and feeding equation for sea
bream, Sparus aurata L., culture. Aquaculture Research, 27, 413–419.
Tsani, S., & Koundouri, P. (2018). A methodological note for the development of integrated
aquaculture production models, with P. Koundouri. Frontiers in Marine Science, 4, 406.
https://doi.org/10.3389/fmars.2017.00406.
Zhou, C., Xu, D., Lin, K., Sun, C., & Yang, X. (2017). Intelligent feeding control methods in
aquaculture with an emphasis on fish: A review. Reviews in Aquaculture, 1–19.
6 Techno- and Socio-economic Models of Production with Application to. . .
103