Life Cycle Assessment of products from Alaskan salmon processing wastes: Implications of coproduction, intermittent landings, and storage time

Cooper, Joyce; Diesburg, Steven; Babej, Alaric; Noon, Michael; Kahn, Ezra; Puettmann, Maureen; Colt, John

doi:10.1016/j.fishres.2013.11.015

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…[31]. The methodology used was CML-IA baseline [32], a mid-point methodology that has been used in numerous LCAs for aquaculture products [3,[7][8][9][10][11]53,54]. The impact categories used in this study were: Abiotic depletion (AD), abiotic depletion fossil fuels (ADFF), global warming (GW), ozone layer depletion (OLD), human toxicity (HT), fresh water aquatic ecotoxicity (FWAE), marine aquatic ecotoxicity (MAE), terrestrial ecotoxicity (TE), photochemical oxidation (PO), acidification (A), and eutrophication (E).…”

Section: Evaluation Of the Impact Of The Life Cyclementioning

confidence: 99%

Life Cycle Assessment of Seabass (Dicentrarchus labrax) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis

Garcı́a¹,

Jiménez

Aguado‐Giménez³

et al. 2019

Sustainability

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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 (p < 0.05) and R2 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.

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Section: Evaluation Of the Impact Of The Life Cyclementioning

confidence: 99%

Life Cycle Assessment of Seabass (Dicentrarchus labrax) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis

Garcı́a¹,

Jiménez

Aguado‐Giménez³

et al. 2019

Sustainability

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“…This methodology has been used in numerous seafood LCAs for both fishing and aquaculture [32,33,44,52,[57][58][59][60][61][62]. The impact categories used in this study to determine the potential impact are abiotic depletion (AD), global warming (GW), ozone layer depletion (OLD), photochemical oxidation (PO), acidification (A) and eutrophication (E).…”

Section: Evaluation Of the Impact Of The Life Cyclementioning

confidence: 99%

Life Cycle Assessment of Gilthead Seabream (Sparus aurata) Production in Offshore Fish Farms

Garcı́a¹,

Jiménez

Aguado‐Giménez

et al. 2016

Sustainability

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Abstract:Life cycle assessment is used in this study to evaluate the potential environmental impacts of producing gilthead seabream in an offshore sea farm exposed to storms in the Spanish Mediterranean Sea. The farming methods used can be considered as "basic" since no centralized or automatic food distribution system exists and there is no control system. This study aims to identify the main hotspots under these conditions and to propose and compare viable alternatives to them. Contribution analysis found that the component of the system with the greatest potential environmental impact (48% of the overall impact) was fish feed, especially the raw material used. Other contributory factors were the fuel consumed by the vessels operating in the farm (35%), the dumping of N and P in the environment due to the metabolism of the fish (12%), the cages and their anchorage system (5%). A sensitivity analysis showed that a significant reduction in potential environmental impact can be achieved by increasing feeding efficiency. Feed formulation in raw materials is also an important factor and could serve to diminish overall adverse effects. A balance needs to be found between productive performance (growth, survival and feed conversion rate), feed price and its influence on production costs and the overall environmental consequences.

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“…Berdasarkan Peraturan Presiden mengenai rencana aksi nasional penurunan emisi gas rumah kaca (RAN-GRK), Indonesia secara sukarela telah berkomitmen untuk menurunkan emisi GRK sebesar Jurnal Teknologi Industri Pertanian28 (1): 1-11 (2018) ISSN: 0216-3160 EISSN: 2252-3901 Terakreditasi DIKTI No 32a/E/KPT/2017Tersedia online http://journal.ipb.ac.id/index.php/jurnaltin Nomor DOI: 10.24961/j.tek.ind.pert.2018 *Penulis Korespodensi 26% pada tahun 2020 dan bisa bertambah menjadi 41% apabila ada dukungan pendanaan internasional. Supartono (2002); Hospido et al(2006);Iribarren et al(2010); Varquez-Rowe et al(2013) dan Cooper et al(2014) melaporkan bahwa dampak lingkungan yang pasti dihasilkan dari pengolahan hasil perikanan dan kelautan adalah potensi pemanasan global. Menurut Worm et al (2009), beberapa tahun belakangan ini penelitian mengenai dampak terhadap lingkungan akibat dari pengolahan hasil perikanan dan kelautan menjadi topik hangat karena semakin menurunnya kualitas hasil perikanan yang ditunjukkan dengan jumlah tangkapan pada suatu wilayah sudah mendekati bahkan melebihi MSY(maximum sustainable yield), kerusakan tempat hidup dan berkembang biak makhluk laut dan lain sebagainya.…”

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Dampak Pemanasan Globalpengolahan Hasil Perikanan Menggunakan Metode Life Cycle Assessment (Lca): Analisis Gate-to-Gate

Sofiah¹,

Yani²,

Ismayana³

2018

j.tek.ind.pert

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Life cycle assessment (LCA) is widely applied method for quantifying the environmental impact of products and processes. One of the most application of LCA is LCA in fishery product. This research was conducted in processing of fisheriesproduct industry in Cirebon Jawa Barat. The methodology of LCA based on life cycle assessment framework ISO 14040 which consist of four stages such as goal and scope definition, inventory analysis, impact assessment, and interpretation and improvement analysis. The scope of this LCA research is production process in industry. By calculating using IPCC, industry of fisheries product processing in this study emitted GHG as much as 0,56 g for fish product and GHG as much as 1,62 g for crab product. The alternatives for reducing environmental impacts are changing the refrigerant used, which can reduce the GHG emissions as much as 68.37% and adjusting the water usage, which can reduce the GHG emissions as much as 6,09%.

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Life Cycle Assessment of products from Alaskan salmon processing wastes: Implications of coproduction, intermittent landings, and storage time

Cited by 7 publications

References 15 publications

Life Cycle Assessment of Seabass (Dicentrarchus labrax) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis

Life Cycle Assessment of Seabass (Dicentrarchus labrax) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis

Life Cycle Assessment of Gilthead Seabream (Sparus aurata) Production in Offshore Fish Farms

Dampak Pemanasan Globalpengolahan Hasil Perikanan Menggunakan Metode Life Cycle Assessment (Lca): Analisis Gate-to-Gate

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