2020
DOI: 10.3389/fsufs.2020.00041
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Co-benefits and Trade-Offs From Agro-Food System Redesign for Circularity: A Case Study With the FAN Agent-Based Model

Abstract: Realizing more sustainable food, feed, and bioenergy systems will require interventions such as increased recycling of nutrients and coordination of biomass flows among farms. Innovative tools to explore the co-benefits and trade-offs of improving flow circularity in agro-food systems at different scales are needed to better understand the efficacy of these sustainability solutions. Here, we applied the FAN ("Flows in Agro-food Networks") agent-based model to simulate contrasting scenarios of material flows lo… Show more

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Cited by 25 publications
(12 citation statements)
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“…Transport and distribution modelling has been used to optimise manure transportation, and strategy is critical in delivering the favoured economic outcomes for anaerobic digestion because transport costs will limit capability [51]. Prior research demonstrates that the implementation of transport strategy can reduce the economic barrier to utilising feedstocks for bioconversion to biogas, soil conditioners, and feeds, but it is the use of geographical information systems (GISs) that has been shown to incisively demonstrate the value allocation of resource flows in systems and supply chain networks [52]. The resource flow modelling that geographic information provides defines the boundaries to economic development for transporting foods, and these types of trade-off models of connectivity have been applied to anaerobic digestion capacities [53].…”
Section: Resultsmentioning
confidence: 99%
“…Transport and distribution modelling has been used to optimise manure transportation, and strategy is critical in delivering the favoured economic outcomes for anaerobic digestion because transport costs will limit capability [51]. Prior research demonstrates that the implementation of transport strategy can reduce the economic barrier to utilising feedstocks for bioconversion to biogas, soil conditioners, and feeds, but it is the use of geographical information systems (GISs) that has been shown to incisively demonstrate the value allocation of resource flows in systems and supply chain networks [52]. The resource flow modelling that geographic information provides defines the boundaries to economic development for transporting foods, and these types of trade-off models of connectivity have been applied to anaerobic digestion capacities [53].…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, in a historical analysis of the complex nexus among landscape, livestock, farming population and land uses in the agrarian metabolism in Barcelona, researchers have concluded that there has been a conspicuous decrease in circularity over time [146], which needs to be restored. French researchers tried to simulate the re-designing of the farming system in a small region of France, by imagining near-complete local circularity through crop and livestock symbiosis (feed-manure cycle), fewer livestock and avoidance of external inputs (chemical fertilisers for instance) [171], and arrived at the conclusion that while mitigating greenhouse gas (GHG) emissions, the farming community would have to be content with a drop in both food and bioenergy production. The British case study in Velenturf (2017) [11] documents how some existing symbiotic relationships came into being in the UK, to utilise agricultural feedstock (as well as wood-waste and bio-refuse derived fuel), in the service of the energy sector, and emphasises the importance of government-planned, facilitated and selforganised industrial symbiotic partnerships in circular bio-economies.…”
Section: Discussion-systematic Reviewmentioning
confidence: 99%
“…This clearly shows that the economic impacts of SFSCs in particular, and agriculture and food systems in general, are context-specific and vary among countries/territories. Other articles have dealt with the relations between agri-food systems and innovative economic models, such as circular economies [35,100,222,[230][231][232], green economies [233], and bio-economies [234].…”
Section: Economymentioning
confidence: 99%
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mentioning
confidence: 99%