Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows. (April 2020)
- Record Type:
- Journal Article
- Title:
- Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows. (April 2020)
- Main Title:
- Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows
- Authors:
- Fernandez-Mena, Hugo
Gaudou, Benoit
Pellerin, Sylvain
MacDonald, Graham K.
Nesme, Thomas - Abstract:
- Highlights: We present an agent-based model: Flows in Agro-food Networks (FAN). FAN aims to simulate complex material exchanges at the local scale. FAN is applied to simulate material exchanges for a small region in France. The number of flows is sensitive to distance and shared interest between agents. FAN provides a proof of concept of farming circular economy. Abstract: Agro-food networks are characterized by complex material exchanges among farms, processors, consumers, and waste managers involved in fertilization, food, feed and bioenergy production. Better coordination of material exchanges at the local scale can facilitate more efficient resource use. Here, we present a new agent-based model, "Flows in Agro-food Networks" (FAN), which simulates the processing and exchange of fertilizers, feed, food and wastes among farms and multiple upstream or downstream partners (feed and fertilizer suppliers, food industries, waste processors, and anaerobic digesters) in small farming regions. FAN includes a series of environmental indicators that can be used to assess alternative scenarios in terms of ecosystem services, nutrient cycling, and resource autonomy. We use a French case study to demonstrate FAN's dynamics and to explore the sensitivity of key parameters. We show a strong influence of spatial distance between agents, their disposition to exchange, and their preference for specific materials on local agro-food network simulations. FAN is powerful theoretical tool toHighlights: We present an agent-based model: Flows in Agro-food Networks (FAN). FAN aims to simulate complex material exchanges at the local scale. FAN is applied to simulate material exchanges for a small region in France. The number of flows is sensitive to distance and shared interest between agents. FAN provides a proof of concept of farming circular economy. Abstract: Agro-food networks are characterized by complex material exchanges among farms, processors, consumers, and waste managers involved in fertilization, food, feed and bioenergy production. Better coordination of material exchanges at the local scale can facilitate more efficient resource use. Here, we present a new agent-based model, "Flows in Agro-food Networks" (FAN), which simulates the processing and exchange of fertilizers, feed, food and wastes among farms and multiple upstream or downstream partners (feed and fertilizer suppliers, food industries, waste processors, and anaerobic digesters) in small farming regions. FAN includes a series of environmental indicators that can be used to assess alternative scenarios in terms of ecosystem services, nutrient cycling, and resource autonomy. We use a French case study to demonstrate FAN's dynamics and to explore the sensitivity of key parameters. We show a strong influence of spatial distance between agents, their disposition to exchange, and their preference for specific materials on local agro-food network simulations. FAN is powerful theoretical tool to explore and assess opportunities for a circular economy in small farming regions and to unravel interactions between recycling, environmental performance and food production. … (more)
- Is Part Of:
- Agricultural systems. Volume 180(2020)
- Journal:
- Agricultural systems
- Issue:
- Volume 180(2020)
- Issue Display:
- Volume 180, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 180
- Issue:
- 2020
- Issue Sort Value:
- 2020-0180-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Agro-food networks -- Material exchanges -- Biomass and nutrient flows -- Circular economy -- Agent-based model
Agricultural systems -- Periodicals
Agriculture -- Environmental aspects -- Periodicals
338.16 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0308521X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.agsy.2019.102718 ↗
- Languages:
- English
- ISSNs:
- 0308-521X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0757.410000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12929.xml