Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis
Equations were developed through multiple regression analysis (MRA) to explain the variability of potential environmental impacts (PEIs) estimated by life cycle assessment (LCA). The case studied refers to the production of seabass in basic offshore fish farms. Contribution analysis showed that the...
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doaj-2c71b54030054f45b503ea9b7db922de2020-11-25T00:12:12ZengMDPI AGSustainability2071-10502019-06-011113352310.3390/su11133523su11133523Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression AnalysisBenjamín García García0Caridad Rosique Jiménez1Felipe Aguado-Giménez2José García García3IMIDA, Calle Mayor s/n, 30150 Alberca de las Torres, Murcia, SpainCampus de Espinardo, Edificio C, Universidad de Murcia, 30100 Espinardo, Murcia, SpainIMIDA, Estación de Acuicultura Marina, Puerto de San Pedro del Pinatar, 30740 San Pedro del Pinatar, Murcia, SpainIMIDA, Calle Mayor s/n, 30150 Alberca de las Torres, Murcia, SpainEquations were developed through multiple regression analysis (MRA) to explain the variability of potential environmental impacts (PEIs) estimated by life cycle assessment (LCA). The case studied refers to the production of seabass in basic offshore fish farms. Contribution analysis showed that the components of the system which most influence the potential environmental impacts are the feed (54% of the overall impact) and the fuel consumed by vessels operating in the farm (23%). Feed and fuel varied widely from one fish farm to another due to different factors, such as the efficiency of the feeding system used in each of them, or the distance from the harbor to the farm. Therefore, a number of scenarios (13) were simulated with different values of both factors and the results of the PEI were fitted by MRA to the model: PEI = a + b × Feed + c × Fuel. For all the PEIs, the regression coefficients were significant (<i>p</i> < 0.05) and R<sup>2</sup> was 1. These equations allow us to estimate simply and quickly very different scenarios that reflect the reality of different farms at the present time, but also future scenarios based on the implementation of technologies that will decrease both feed and fuel consumption.https://www.mdpi.com/2071-1050/11/13/3523environmental impactfeedlife cycle assessmentoffshore fish farm<i>Dicentrarchus labrax</i> |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Benjamín García García Caridad Rosique Jiménez Felipe Aguado-Giménez José García García |
spellingShingle |
Benjamín García García Caridad Rosique Jiménez Felipe Aguado-Giménez José García García Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis Sustainability environmental impact feed life cycle assessment offshore fish farm <i>Dicentrarchus labrax</i> |
author_facet |
Benjamín García García Caridad Rosique Jiménez Felipe Aguado-Giménez José García García |
author_sort |
Benjamín García García |
title |
Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis |
title_short |
Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis |
title_full |
Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis |
title_fullStr |
Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis |
title_full_unstemmed |
Life Cycle Assessment of Seabass (<i>Dicentrarchus labrax</i>) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis |
title_sort |
life cycle assessment of seabass (<i>dicentrarchus labrax</i>) produced in offshore fish farms: variability and multiple regression analysis |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2019-06-01 |
description |
Equations were developed through multiple regression analysis (MRA) to explain the variability of potential environmental impacts (PEIs) estimated by life cycle assessment (LCA). The case studied refers to the production of seabass in basic offshore fish farms. Contribution analysis showed that the components of the system which most influence the potential environmental impacts are the feed (54% of the overall impact) and the fuel consumed by vessels operating in the farm (23%). Feed and fuel varied widely from one fish farm to another due to different factors, such as the efficiency of the feeding system used in each of them, or the distance from the harbor to the farm. Therefore, a number of scenarios (13) were simulated with different values of both factors and the results of the PEI were fitted by MRA to the model: PEI = a + b × Feed + c × Fuel. For all the PEIs, the regression coefficients were significant (<i>p</i> < 0.05) and R<sup>2</sup> was 1. These equations allow us to estimate simply and quickly very different scenarios that reflect the reality of different farms at the present time, but also future scenarios based on the implementation of technologies that will decrease both feed and fuel consumption. |
topic |
environmental impact feed life cycle assessment offshore fish farm <i>Dicentrarchus labrax</i> |
url |
https://www.mdpi.com/2071-1050/11/13/3523 |
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