Electronic Supplementary Material for Apetrei et al. 2024 "Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning"

Chronological data

Year of publication2024
Date of availability in catalog2025-12-01
Available from / since 2025-12-01

Language of the resource

English

Related external resources

Supplement to DOI: 10.1016/j.ecolmodel.2023.110609
Apetrei, C. I., Strelkovskii, N., Khabarov, N. & Javalera Rincón, V. (2024). Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning. Ecological Modelling, 489, Article 110609
Documents DOI: 10.6084/m9.figshare.24917670
Apetrei, C. I., Strelkovskii, N., Khabarov, N. & Javalera Rincón, V. (2023). RAGE-learning ABM extension - model outputs corresponding to ECOMOD publication. figshare. Dataset.

Related PubData resources

Supplement to

Item type Resource ,
Dissertation
Apetrei, Cristina I.

Abstract

This dataset contains the supplementary materials for the paper "Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning". It consists of the ODD+D protocol of agent-based model extension, additional details of parameters and settings used for the simulations described in the associated publication, and the results of sensitivity analyses.

Resource type

Dataset

Kinds of Data

Context Materials / Supporting information
Logfiles / Usage Data / Protocols

Methods

Simulation
Modeling

Thematic classification

Nachhaltige Transformation

Keywords

Modellierung; Landwirt; Kleinbäuerliche Strukturen; Entscheidungsfindung; Lernen; Verhalten; Adaptives Lernen; Praxislernen; Soziales Lernen; Lernprozess; Sozial-ökologisches System; Nachhaltigkeit; Transformation; Modeling; Farmer; Smallholder Structures; Decision Making; Learning; Behavior; Adaptive Learning; Learning by Doing; Social Learning; Learning Process; Social-ecological System; Sustainability; Transformation

More information

Time Period of the Collection of the Data

2021-07-01 - 2022-03-31

Time Period of the Creation of the Dataset

2024-03-01 - 2024-04-30

Temporal Coverage of the Dataset

Geolocation (Country)

Geolocation (Region/Location)