scholarly journals Climate forcing by battered-and-breaded fillets and crab-flavored sticks from Alaska pollock

Elem Sci Anth ◽  
2019 ◽  
Vol 7 ◽  
Author(s):  
Brandi L. McKuin ◽  
Jordan T. Watson ◽  
Alan C. Haynie ◽  
J. Elliott Campbell
Keyword(s):  
Supply Chain ◽  
Nitrogen Oxides ◽  
Organic Carbon ◽  
Greenhouse Gases ◽  
Food Production ◽  
Production Systems ◽  
Climate Impact ◽  
Climate Forcing ◽  
Anthropogenic Sources ◽  
Seafood Products

The food sector is a significant contributor to greenhouse gas emissions, contributing 10–32% of global anthropogenic sources. Compared with land-based food production systems, relatively little is known about the climate impact of seafood products. Previous studies have placed an emphasis on fishing activities, overlooking the contribution of the processing phase in the seafood supply chain. Furthermore, other studies have ignored short-lived climate forcing pollutants which can be particularly large for ship fuels. To address these critical knowledge gaps, we conducted a carbon footprint analysis of seafood products from Alaska pollock, one of the world’s largest fisheries. A holistic assessment was made including all components in the supply chain from fishing through retail display case, including a broad suite of climate forcing pollutants (well-mixed greenhouse gases, sulfur oxides, nitrogen oxides, black carbon and organic carbon), for domestic and top importers. We found that in some instances the processing phase contributed nearly twice the climate impact as the fishing phase of the seafood supply chain. For highly fuel-efficient fisheries, such as the Alaska pollock catcher-processor fleet, including the processing phase of the seafood supply chain is essential. Furthermore, the contribution from cooling emissions (sulfur and nitrogen oxides, and organic carbon) offsets a significant portion of the climate forcing from warming emissions. The estimates that include only greenhouse gases are as much as 2.6 times higher than the cases that include short-lived climate forcing pollutants. This study also advances our understanding of the climate impact of seafood distribution with products for the domestic retail market having a climate impact that is as much as 1.6 times higher than export products that undergo transoceanic shipping. A full accounting of the supply chain and of the impact of the pollutants emitted by food production systems is important for climate change mitigation strategies in the near-term.

scholarly journals Leveraging drought risk reduction for sustainable food, soil and climate via soil organic carbon sequestration

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Toshichika Iizumi ◽  
Rota Wagai
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Drought Tolerance ◽  
Food Production ◽  
Production Systems ◽  
Agricultural Drought ◽  
Climate Mitigation ◽  
Drought Risk ◽  
Organic Carbon Content ◽  
Economic Output

AbstractDrought is a major risk in global agriculture. Building-up soil organic carbon (SOC) enhances soil fertility and efficient use of rainwater, which can increase drought tolerance in food production. SOC management demonstrates its benefit at various locations and is a promising means to achieve food security and climate mitigation at once. However, no global assessment of its potential and co-benefits gained from SOC enhancement has been presented. Here we evaluated the extent to which SOC build-up could reduce agricultural drought risk. Using statistical analysis of spatially-explicit global crop and soil datasets, we find that relatively small enhancement in topsoil (0–30 cm) organic carbon content (OCtop) could increase drought tolerance of the food production systems operating over 70% of the global harvested area (particularly drylands). By closing the gap between current and upper limit of tolerance levels through SOC addition of 4.87 GtC at the global scale, farmer’s economic output in drought years would increase by ~16%. This level of SOC increase has co-benefit of reducing global decadal mean temperature warming by 0.011 °C. Our findings highlight that progress towards multiple development goals can be leveraged by SOC enhancement in carbon (C)-poor soils in drier regions around the world.

Consumer demand for animal welfare products.

2020 ◽  
pp. 53-74
Author(s):  
Faical Akaichi ◽  
Cesar Revoredo-Giha
Keyword(s):  
Economic Theory ◽  
Supply Chain ◽  
Willingness To Pay ◽  
Supply Chains ◽  
Animal Welfare ◽  
Food Production ◽  
Consumer Demand ◽  
Production Systems ◽  
Agricultural Practices ◽  
Demand Side

Abstract Modern agricultural practices have increased the efficiency of food production with a decrease in their cost and prices for consumers. However, to some extent this has been detrimental to the ethical way in which livestock are treated, particularly in more intensive production systems. On the demand side, an increasing number of consumers are interested in the way that food is produced and the attributes behind it. Animal welfare is one of those ethical attributes that are particularly important for consumers, and at the retail level, it is reflected in a number of labels aiming at passing cues (due to its nature as a credence attribute) to consumers. For meat supply chains, these labels have the possibility to positively affect sales if consumers are willing to pay more for products with those attributes. Moreover, if increasing animal welfare implies higher costs of production, it is important for the supply chain to know whether these costs can be passed on to consumers. These issues have motivated a substantive literature on the measurement of consumers' interest in animal welfare and their willingness to pay for its attributes. The purpose of this chapter is to provide an overview of the economic theory behind the measurement of animal welfare and some empirical applications.

Phosphorus: Past History and Contributions to the Global Food Supply

2019 ◽  
Vol 103 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Terry Roberts
Keyword(s):  
Food Security ◽  
Food Supply ◽  
Food Production ◽  
Production Systems ◽  
Past History ◽  
Phosphate Fertilizer ◽  
Global Food ◽  
Global Food Supply

Since its early rudimentary forms, phosphate fertilizer has developed in step with our understanding of successful food production systems. Recognized as essential to life, the responsible use P in agriculture remains key to food security.

scholarly journals Review: Impacts of shade on cattle well-being in the beef supply chain

2020 ◽  
Author(s):  
Lily N Edwards-Callaway ◽  
M Caitlin Cramer ◽  
Caitlin N Cadaret ◽  
Elizabeth J Bigler ◽  
Terry E Engle ◽  
...  
Keyword(s):  
Supply Chain ◽  
Heat Stress ◽  
Beef Cattle ◽  
Production Systems ◽  
Construction Materials ◽  
Well Being ◽  
Third Party ◽  
Ambient Temperatures ◽  
Stress Susceptibility ◽  
The Impact

ABSTRACT Shade is a mechanism to reduce heat load providing cattle with an environment supportive of their welfare needs. Although heat stress has been extensively reviewed, researched, and addressed in dairy production systems, it has not been investigated in the same manner in the beef cattle supply chain. Like all animals, beef cattle are susceptible to heat stress if they are unable to dissipate heat during times of elevated ambient temperatures. There are many factors that impact heat stress susceptibility in beef cattle throughout the different supply chain sectors, many of which relate to the production system, i.e. availability of shade, microclimate of environment, and nutrition management. The results from studies evaluating the effects of shade on production and welfare are difficult to compare due to variation in structural design, construction materials used, height, shape, and area of shade provided. Additionally, depending on operation location, shade may or may not be beneficial during all times of the year, which can influence the decision to make shade a permanent part of management systems. Shade has been shown to lessen the physiologic response of cattle to heat stress. Shaded cattle exhibit lower respiration rates, body temperatures, and panting scores compared to un-shaded cattle in weather that increases the risk of heat stress. Results from studies investigating the provision of shade indicate that cattle seek shade in hot weather. The impact of shade on behavioral patterns is inconsistent in the current body of research, some studies indicating shade provision impacts behavior and other studies reporting no difference between shaded and un-shaded groups. Analysis of performance and carcass characteristics across feedlot studies demonstrated that shaded cattle had increased ADG, improved feed efficiency, HCW, and dressing percentage when compared to cattle without shade. Despite the documented benefits of shade, current industry statistics, although severely limited in scope, indicate low shade implementation rates in feedlots and data in other supply chain sectors do not exist. Industry guidelines and third party on-farm certification programs articulate the critical need for protection from extreme weather but are not consistent in providing specific recommendations and requirements. Future efforts should include: updated economic analyses of cost versus benefit of shade implementation, exploration of producer perspectives and needs relative to shade, consideration of shade impacts in the cow-calf and slaughter plant segments of the supply chain, and integration of indicators of affective (mental) state and preference in research studies to enhance the holistic assessment of cattle welfare.

scholarly journals AI-Enabled Efficient and Safe Food Supply Chain

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1223
Author(s):  
Ilianna Kollia ◽  
Jack Stevenson ◽  
Stefanos Kollias
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Latent Variable ◽  
Food Production ◽  
Domain Adaptation ◽  
Experimental Studies ◽  
Food Supply Chain ◽  
Food Retail ◽  
Expiry Date ◽  
Safe Food

This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, ’from farm to fork’, as enabled by Artificial Intelligence (AI). The field is of great significance from economic, food safety and public health points of views. The paper focuses on effective food production, food maintenance energy management and food retail packaging labeling control, using recent advances in machine learning. Appropriate deep neural architectures are adopted and used for this purpose, including Fully Convolutional Networks, Long Short-Term Memories and Recurrent Neural Networks, Auto-Encoders and Attention mechanisms, Latent Variable extraction and clustering, as well as Domain Adaptation. Three experimental studies are presented, illustrating the ability of these AI methodologies to produce state-of-the-art performance in the whole food supply chain. In particular, these concern: (i) predicting plant growth and tomato yield in greenhouses, thus matching food production to market needs and reducing food waste or food unavailability; (ii) optimizing energy consumption across large networks of food retail refrigeration systems, through optimal selection of systems that can be shut-down and through prediction of the respective food de-freezing times, during peaks of power demand load; (iii) optical recognition and verification of food consumption expiry date in automatic inspection of retail packaged food, thus ensuring safety of food and people’s health.

scholarly journals Sustainability Analysis of Interconnected Food Production Systems via Theory of Barriers

2020 ◽  
Vol 53 (2) ◽  
pp. 15765-15770
Author(s):  
Tim Aschenbruck ◽  
Willem Esterhuizen ◽  
Murali Padmanabha ◽  
Stefan Streif
Keyword(s):  
Food Production ◽  
Production Systems ◽  
Sustainability Analysis

scholarly journals Transformation of the Innovative and Sustainable Supply Chain with Upcoming Real-Time Fashion Systems

2021 ◽  
Vol 13 (3) ◽  
pp. 1081
Author(s):  
Yoon Kyung Lee
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Computer Aided Design ◽  
Production Systems ◽  
Fashion Industry ◽  
Sustainable Supply Chain ◽  
Information Communication ◽  
Manufacturing Planning ◽  
Fashion Products ◽  
Aided Design

Technologies that are ready-to-use and adaptable in real time to customers’ individual needs are influencing the supply chain of the future. This study proposes a supply chain framework for an innovative and sustainable real-time fashion system (RTFS) between enterprises, designers, and consumers in 3D clothing production systems, using information communication technology, artificial intelligence (AI), and virtual environments. In particular, the RTFS is targeted at customers actively involved in product purchasing, personalising, co-designing, and manufacturing planning. The fashion industry is oriented towards 3D services as a service model, owing to the automation and democratisation of product customisation and personalisation processes. Furthermore, AI offers referral services to prosumers or/and customers and companies, and proposes individual designs with perfect styles and measurements using new 3D computer aided design and AI-based product design technologies for fashion and design companies and customers. Consequently, 3D fashion products in the RTFS supply chain are entirely digital, saving time and money with sampling and tracking capabilities, secured, and trusted with personalised service delivery.

scholarly journals Decision aiding handbooks for managing contaminated food production systems, drinking water and inhabited areas in Europe

2010 ◽  
Vol 45 (5) ◽  
pp. S23-S37 ◽  
Author(s):  
A.F. Nisbet ◽  
J. Brown ◽  
B.J. Howard ◽  
N.A. Beresford ◽  
H. Ollagnon ◽  
...  
Keyword(s):  
Drinking Water ◽  
Food Production ◽  
Production Systems ◽  
Decision Aiding ◽  
Contaminated Food

scholarly journals Sinking rates and ballast composition of particles in the Atlantic Ocean: implications for the organic carbon fluxes to the deep ocean

2009 ◽  
Vol 6 (1) ◽  
pp. 85-102 ◽  
Author(s):  
G. Fischer ◽  
G. Karakaş
Keyword(s):  
Organic Carbon ◽  
Atlantic Ocean ◽  
Sediment Trap ◽  
Carbon Flux ◽  
Coastal Upwelling ◽  
Production Systems ◽  
Deep Ocean ◽  
Biogeochemical Model ◽  
Carbonate Content ◽  
Organic Carbon Flux

Abstract. The flux of materials to the deep sea is dominated by larger, organic-rich particles with sinking rates varying between a few meters and several hundred meters per day. Mineral ballast may regulate the transfer of organic matter and other components by determining the sinking rates, e.g. via particle density. We calculated particle sinking rates from mass flux patterns and alkenone measurements applying the results of sediment trap experiments from the Atlantic Ocean. We have indication for higher particle sinking rates in carbonate-dominated production systems when considering both regional and seasonal data. During a summer coccolithophorid bloom in the Cape Blanc coastal upwelling off Mauritania, particle sinking rates reached almost 570 m per day, most probably due the fast sedimentation of densely packed zooplankton fecal pellets, which transport high amounts of organic carbon associated with coccoliths to the deep ocean despite rather low production. During the recurring winter-spring blooms off NW Africa and in opal-rich production systems of the Southern Ocean, sinking rates of larger particles, most probably diatom aggregates, showed a tendency to lower values. However, there is no straightforward relationship between carbonate content and particle sinking rates. This could be due to the unknown composition of carbonate and/or the influence of particle size and shape on sinking rates. It also remains noticeable that the highest sinking rates occurred in dust-rich ocean regions off NW Africa, but this issue deserves further detailed field and laboratory investigations. We obtained increasing sinking rates with depth. By using a seven-compartment biogeochemical model, it was shown that the deep ocean organic carbon flux at a mesotrophic sediment trap site off Cape Blanc can be captured fairly well using seasonal variable particle sinking rates. Our model provides a total organic carbon flux of 0.29 Tg per year down to 3000 m off the NW African upwelling region between 5 and 35° N. Simple parameterisations of remineralisation and sinking rates in such models, however, limit their capability in reproducing the flux variation in the water column.

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