Implementation of Agent-Based Models to support Life Cycle Assessment: A review focusing on agriculture and land use

Implementation of Agent-Based Models to support Life Cycle Assessment: A review focusing on agriculture and land use

Agent-Based Models (ABMs) have been adopted to simulate very different kinds of complex systems, from biological systems to complex coupled human-natural systems. In particular, when used to simulate man-managed systems, they have the advantage of allowing human behavioral aspects to be considered i...

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Bibliographic Details
Main Authors: Antonino Marvuglia, Tomás Navarrete Gutiérrez, Paul Baustert, Enrico Benetto
Format: Article
Language:English
Published: AIMS Press 2018-12-01
Series:AIMS Agriculture and Food
Subjects:
from biological systems to complex coupled human-natural systems. In particular
when used to simulate man-managed systems
they have the advantage of allowing human behavioral aspects to be considered in the modelling framework. This paper provides a literature review of the application of ABMs for agricultural and land use modelling. One section is specifically devoted to the coupling of ABMs and Life Cycle Assessment (LCA) models. The aim of the paper is to give a perspective of the different “modelling blocks” one needs to take into account to build an ABM
dealing with general issues that must be considered regardless of the domain of application (such as validity
uncertainty
parameter sensitivity
agent definition
data provision)
and providing concrete examples related specifically to ABMs applied to agricultural and land use modelling. The paper highlights the difficulties that the modelers can encounter in dealing with each of these modelling blocks
and presents the solutions that can be envisioned (mentioning those that have been applied in certain cases in the literature). As a general conclusion
we can observe that solutions based on complex systems simulations are starting
to some extent
to be influential in policymaking; however
practical user-friendly tools that allow scenario simulations also to non-expert users are clearly still lacking.
Agent-Based model| quantitative sustainability assessment| Life Cycle Assessment| life cycle sustainability analysis| agricultural modelling
Online Access:http://www.aimspress.com/article/10.3934/agrfood.2018.4.535/fulltext.html

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http://www.aimspress.com/article/10.3934/agrfood.2018.4.535/fulltext.html

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