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An empirically informed agent-based model of a Nepalese smallholder village

Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, kno...

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Autores principales: Roxburgh, Nicholas, Evans, Andrew, GC, Raj K., Malleson, Nick, Heppenstall, Alison, Stringer, Lindsay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374244/
https://www.ncbi.nlm.nih.gov/pubmed/34434796
http://dx.doi.org/10.1016/j.mex.2021.101276
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author Roxburgh, Nicholas
Evans, Andrew
GC, Raj K.
Malleson, Nick
Heppenstall, Alison
Stringer, Lindsay
author_facet Roxburgh, Nicholas
Evans, Andrew
GC, Raj K.
Malleson, Nick
Heppenstall, Alison
Stringer, Lindsay
author_sort Roxburgh, Nicholas
collection PubMed
description Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, knowledge, behaviour, and experiences; and they facilitate a multi-scale, causal understanding of system dynamics. However, developing detailed, empirically informed agent-based models is typically a time and resource intensive activity. Here, we describe a detail-rich, ethnographically informed agent-based model of a Nepalese smallholder village that was created for the purpose of studying the impact of multiple stressors on mountain communities. In doing so, we aim to make the model accessible to other researchers interested in simulating such communities and to provide inspiration for other socio-ecological system modellers. • The model is described using the ODD protocol. • The number of replicate runs required for experiments is discussed, and the model validation and sensitivity analysis processes that have been conducted are explained. • Suggestions are made for how the model can practically be used and for how model outputs can be analysed.
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spelling pubmed-83742442021-08-24 An empirically informed agent-based model of a Nepalese smallholder village Roxburgh, Nicholas Evans, Andrew GC, Raj K. Malleson, Nick Heppenstall, Alison Stringer, Lindsay MethodsX Method Article Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, knowledge, behaviour, and experiences; and they facilitate a multi-scale, causal understanding of system dynamics. However, developing detailed, empirically informed agent-based models is typically a time and resource intensive activity. Here, we describe a detail-rich, ethnographically informed agent-based model of a Nepalese smallholder village that was created for the purpose of studying the impact of multiple stressors on mountain communities. In doing so, we aim to make the model accessible to other researchers interested in simulating such communities and to provide inspiration for other socio-ecological system modellers. • The model is described using the ODD protocol. • The number of replicate runs required for experiments is discussed, and the model validation and sensitivity analysis processes that have been conducted are explained. • Suggestions are made for how the model can practically be used and for how model outputs can be analysed. Elsevier 2021-03-31 /pmc/articles/PMC8374244/ /pubmed/34434796 http://dx.doi.org/10.1016/j.mex.2021.101276 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Roxburgh, Nicholas
Evans, Andrew
GC, Raj K.
Malleson, Nick
Heppenstall, Alison
Stringer, Lindsay
An empirically informed agent-based model of a Nepalese smallholder village
title An empirically informed agent-based model of a Nepalese smallholder village
title_full An empirically informed agent-based model of a Nepalese smallholder village
title_fullStr An empirically informed agent-based model of a Nepalese smallholder village
title_full_unstemmed An empirically informed agent-based model of a Nepalese smallholder village
title_short An empirically informed agent-based model of a Nepalese smallholder village
title_sort empirically informed agent-based model of a nepalese smallholder village
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374244/
https://www.ncbi.nlm.nih.gov/pubmed/34434796
http://dx.doi.org/10.1016/j.mex.2021.101276
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