ClimeGreAq: A software-based DSS for the climate change adaptation of Greek aquaculture

Environmental Modelling & Software - Tập 143 - Trang 105121 - 2021
Orestis Stavrakidis-Zachou1,2, Astrid Sturm3, Konstadia Lika2, Frank Wätzold3, Nikos Papandroulakis1
1Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, 71500, Crete, Greece
2Department of Biology, University of Crete, Heraklion, 71003, Crete, Greece
3Brandenburg University of Technology Cottbus-Senftenberg, Chair of Environmental Economics, Erich-Weinert-Straße 1, 03046, Cottbus, Germany

Tài liệu tham khảo

Aguera, 2015, Parameter estimations of dynamic energy budget (DEB) model over the life-history of a key Antarctic species: the Antarctic sea star Odontaster validus Koehler, 1906, Plos one, 10, 10.1371/journal.pone.0140078 Baki, 2017, Feed cost/production income analysis of seabass (Dicentrarchus labrax) aquaculture, Int. J. Ecosys. Ecol. Sci., 7, 859 Besson, 2016, Influence of water temperature on the economic value of growth rate in fish farming: the case of sea bass (Dicentrarchus labrax) cage farming in the Mediterranean, Aquaculture, 462, 47, 10.1016/j.aquaculture.2016.04.030 Brander, 2018, Climate change implications for fisheries and aquaculture, 45 Brauner, 2019, What happens when decision support systems fail?—the importance of usability on performance in erroneous systems, Behav. Inf. Technol., 1 Casini, 2015, Decision support system development for integrated management of European coastal lagoons, Environ. Model. Software, 64, 47, 10.1016/j.envsoft.2014.11.008 Capalbo, 2017, Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making, Agric. Syst., 155, 191, 10.1016/j.agsy.2016.10.009 ClimeFish Project. [online] http://www.climefish.eu/aims-and-goals (Accessed July 2020). Cobo, 2019, A decision support system for fish farming using particle swarm optimization, Comput. Electron. Agric., 161, 121, 10.1016/j.compag.2018.03.036 Dabbadie, 2018, Effects of climate change on aquaculture: drivers, impacts and policies Drechsler, 2020, 104892 European Commission, 2014 Engle, 2010 Falconer, 2018, GIS technologies for sustainable aquaculture, 290 2017 2019 Halide, 2009, Developing a decision support system for sustainable cage aquaculture, Environ. Model. Software, 24, 694, 10.1016/j.envsoft.2008.10.013 Han, 2017, Climate-Agriculture-Modeling and Decision Tool (CAMDT): a software framework for climate risk management in agriculture, Environ. Model. Software, 95, 102, 10.1016/j.envsoft.2017.06.024 Hermawan, 2015, An integrated decision support system for the management of sustainable mariculture in Indonesia, Adv. Environ. Biol., 9, 21 Holzworth, 2015, Agricultural production systems modelling and software: current status and future prospects, Environ. Model. Software, 72, 276, 10.1016/j.envsoft.2014.12.013 Kašpar, 2018, Decision support approaches in adaptive forest management, Forests, 9, 10.3390/f9040215 Kay, 2008, Comparison of uncertainty sources for climate change impacts: flood frequency in England, Climatic Change, 92, 41, 10.1007/s10584-008-9471-4 Kazak, 2018, Urbanization and thermal comfort in adaptation to climate change actions—the case of the wrocław larger urban zone (Poland), Sustainability, 10, 1083, 10.3390/su10041083 Koçak, 2004, Cost analysis in gilthead sea bream (Sparus aurata Linnaeus, 1758) and sea bass (Dicentrarchus labrax Linnaeus, 1758) production in Mila district-Muğla Province, Turkey, Turk. J. Fish. Aquat. Sci., 4, 33 Kooijman, 2010 Lieske, 2015, Coping with climate change: the role of spatial decision support tools in facilitating community adaptation, Environ. Model. Software, 68, 98, 10.1016/j.envsoft.2015.02.005 Luna, 2019, Integration of environmental sustainability and product quality criteria in the decision-making process for feeding strategies in seabream aquaculture companies, J. Clean. Prod., 217, 671, 10.1016/j.jclepro.2019.01.248 Lupatsch, 2003, Comparison of energy and protein efficiency among three fish species gilt-head sea bream (Sparus aurata), European sea bass (Dicentrarchus labrax) and white grouper (Epinephelus aeneus): energy expenditure for protein and lipid deposition, Aquaculture, 225, 175, 10.1016/S0044-8486(03)00288-6 Marques, 2019, Fitting multiple models to multiple data sets, J. Sea Res., 143, 48, 10.1016/j.seares.2018.07.004 Mathisen, 2016, Decision support systems in fisheries and aquaculture: a systematic review, ArXiv e-prints McIntosh, 2011, Environmental decision support systems (EDSS) development – challenges and best practices, Environ. Model. Software, 26, 1389, 10.1016/j.envsoft.2011.09.009 Navarro-Martín, 2009, Balancing the effects of rearing at low temperature during early development on sex ratios, growth and maturation in the European sea bass (Dicentrarchus labrax): limitations and opportunities for the production of highly female-biased stocks, Aquaculture, 296, 347, 10.1016/j.aquaculture.2009.07.022 Nobre, 2009, A dynamic ecological-economic modelling approach for aquaculture management, Ecol. Econ., 68, 3007, 10.1016/j.ecolecon.2009.06.019 Österblom, 2020, Science-industry collaboration: sideways or highways to ocean sustainability?, One Earth, 3, 79, 10.1016/j.oneear.2020.06.011 Piedecausa, 2010, Simulating the temporal pattern of waste production in farmed gilthead seabream (Sparus aurata), European sea bass (Dicentrarchus labrax) and Atlantic bluefin tuna (Thunnus thynnus), Ecol. Model., 221, 634, 10.1016/j.ecolmodel.2009.11.011 Pierleoni, 2014, Climate change and decision support systems for water resource management, Procedia Eng., 70, 1324, 10.1016/j.proeng.2014.02.146 Porporato, 2019, Site suitability for finfish marine aquaculture in the central Mediterranean Sea, Front. Mar. Sci., 6, 772, 10.3389/fmars.2019.00772 Rosa, 2012, Impact of climate change in Mediterranean aquaculture, Rev. Aquacult., 4, 163, 10.1111/j.1753-5131.2012.01071.x Schweizer, 2019, Scenarios and decision support for security and conflict risks in the context of climate change, Curr. Clim. Change Rep., 5, 12, 10.1007/s40641-019-00123-0 Stavrakidis-Zachou, 2018, Towards a computer-based decision support system for aquaculture stakeholders in Greece in the context of climate change, Int. J. Sustain. Agric. Manag. Inf., 4, 219 Stavrakidis-Zachou, 2019, A DEB model for European sea bass (Dicentrarchus labrax): parameterisation and application in aquaculture, J. Sea Res., 143, 262, 10.1016/j.seares.2018.05.008 Stavrakidis-Zachou, 2021, Projecting climate change impacts on Mediterranean finfish production: a case study in Greece, Climatic Change, 165, 67, 10.1007/s10584-021-03096-y Stelzenmüller, 2017, Aquaculture site-selection and marine spatial planning: the roles of GIS-based tools and models', 131 Sturm, 2018, DSS-Ecopay - a decision support software for designing ecologically effective and cost effective agri-environment schemes to conserve endangered grassland biodiversity, Agric. Syst., 161, 113, 10.1016/j.agsy.2018.01.008 Syntesa. [online] http://www.syntesa.fo/(Accessed July 2020). Teske, 2019 Varga, 2020, Long-term dynamic simulation of environmental impacts on ecosystem-based pond aquaculture, Environ. Model. Software, 134, 104755, 10.1016/j.envsoft.2020.104755 Wätzold, 2016, A novel, spatiotemporally explicit ecological-economic modelling procedure for the design of cost effective agri-environment schemes to conserve biodiversity, Am. J. Agric. Econ., 98, 489, 10.1093/ajae/aav058 Wells, 2020, Future HAB science: directions and challenges in a changing climate, Harmful Algae, 91, 101632, 10.1016/j.hal.2019.101632 Wenkel, 2013, LandCaRe DSS - an interactive decision support system for climate change impact assessment and the analysis of potential agricultural land use adaptation strategies, J. Environ. Manag., 127, 168, 10.1016/j.jenvman.2013.02.051 AMPP. [online] https://www.apachefriends.org/index.html (Accessed July 2020). Ziaja, 2019, Role of knowledge networks and boundary organizations in coproduction: a short history of a decision-support tool and model for adapting multiuse reservoir and water-energy governance to climate change in California, Am. Meteorol. Soc., 11, 823