Using agent-based modelling to simulate social-ecological systems across scales

Lippe Melvin, Bithell Mike, Gotts Nick, Natalini Davide, Barbrook-Johnson Peter, Giupponi Carlo, Hallier Mareen, Hofstede Gert Jan, Le Page Christophe, Matthews Robin, Schlüter Maja, Smith Peter, Teglio Andrea, Thellmann Kevin. 2019. Using agent-based modelling to simulate social-ecological systems across scales. GeoInformatica, 23 (2) : 269-298.

Quartile : Q3, Sujet : COMPUTER SCIENCE, INFORMATION SYSTEMS / Quartile : Q3, Sujet : GEOGRAPHY, PHYSICAL

Résumé : Agent-based modelling (ABM) simulates Social-Ecological-Systems (SESs) based on the decision-making and actions of individual actors or actor groups, their interactions with each other, and with ecosystems. Many ABM studies have focused at the scale of villages, rural landscapes, towns or cities. When considering a geographical, spatially-explicit domain, current ABM architecture is generally not easily translatable to a regional or global context, nor does it acknowledge SESs interactions across scales sufficiently; the model extent is usually determined by pragmatic considerations, which may well cut across dynamical boundaries. With a few exceptions, the internal structure of governments is not included when representing them as agents. This is partly due to the lack of theory about how to represent such as actors, and because they are not static over the time-scales typical for social changes to have significant effects. Moreover, the relevant scale of analysis is often not known a priori, being dynamically determined, and may itself vary with time and circumstances. There is a need for ABM to cross the gap between micro-scale actors and larger-scale environmental, infrastructural and political systems in a way that allows realistic spatial and temporal phenomena to emerge; this is vital for models to be useful for policy analysis in an era when global crises can be triggered by small numbers of micro-level actors. We aim with this thought-piece to suggest conceptual avenues for implementing ABM to simulate SESs across scales, and for using big data from social surveys, remote sensing or other sources for this purpose.

Mots-clés Agrovoc : modèle de simulation, sociologie, écosystème

Classification Agris : U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
F40 - Écologie végétale
L20 - Écologie animale

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Agences de financement européennes : European Commission

Programme de financement européen : H2020

Projets sur financement : (EU) Towards middle-range theories of the co-evolutionary dynamics of multi-level social-ecological systems

Auteurs et affiliations

• Lippe Melvin, Thünen Institute of International Forestry and Forest Economics (DEU) - auteur correspondant
• Bithell Mike, University of Cambridge (GBR)
• Gotts Nick
• Natalini Davide, Anglia Ruskin University (GBR)
• Barbrook-Johnson Peter, University of Surrey (GBR)
• Giupponi Carlo, University of Venice (ITA)
• Hallier Mareen, BUT (DEU)
• Hofstede Gert Jan, Wageningen University and Research Centre (NLD)
• Le Page Christophe, CIRAD-ES-UPR GREEN (FRA) ORCID: 0000-0002-1920-0091
• Matthews Robin, The James Hutton Institute (GBR)
• Schlüter Maja, Stockholm University (SWE)
• Smith Peter, University of Aberdeen (GBR)
• Teglio Andrea, University of Venice (ITA)
• Thellmann Kevin, Universität Hohenheim (DEU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/590823/)

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