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Predicting shifting sustainability trade-offs in marine finfish aquaculture under climate change
- Publication Year :
- 2018
-
Abstract
- Defining sustainability goals is a crucial but difficult task because it often involves the quantification of multiple interrelated and sometimes conflicting components. This complexity may be exacerbated by climate change, which will increase environmental vulnerability in aquaculture and potentially compromise the ability to meet the needs of a growing human population. Here, we developed an approach to inform sustainable aquaculture by quantifying spatio-temporal shifts in critical trade-offs between environmental costs and benefits using the time to reach the commercial size as a possible proxy of economic implications of aquaculture under climate change. Our results indicate that optimizing aquaculture practices by minimizing impact (this study considers as impact a benthic carbon deposition≥1g Cm−2day−1) will become increasingly difficult under climate change. Moreover, an increasing temperature will produce a poleward shift in sustainability trade-offs. These findings suggest that future sustainable management strategies and plans will need to account for the effects of climate change across scales. Overall, our results highlight the importance of integrating environmental factors in order to sustainably manage critical natural resources under shifting climatic conditions.
- Subjects :
- 0106 biological sciences
Trade-offs
Settore BIO/07 - Ecologia
Aquatic Organisms
Conservation of Natural Resources
010504 meteorology & atmospheric sciences
Climate Change
Mechanistic predictive models
Population
Fisheries
Climate change
Aquaculture
01 natural sciences
Mediterranean Sea
Regional climate models
Seabass
Global and Planetary Change
Environmental Chemistry
Ecology
2300
Effects of global warming
seaba
Animals
Humans
Environmental impact assessment
education
Environmental planning
0105 earth and related environmental sciences
General Environmental Science
education.field_of_study
mechanistic predictive model
010604 marine biology & hydrobiology
regional climate model
Fishes
Temperature
Natural resource
Sustainable management
Sustainability
Business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....43f384301c0f503db06e41255c404abd