Agent-based modeling on interaction between water and labor availability in rainfed rice ecosystem, northeast Thailand

Naivinit Warong, Le Page Christophe, Thongnoi M., Trébuil Guy. 2008. Agent-based modeling on interaction between water and labor availability in rainfed rice ecosystem, northeast Thailand. In : 2nd International Forum on Water and Food = Second Forum International sur l'Eau et l'Alimentation, 10-14 novembre 2008, Addis Abéba, Ethiopie. CGIAR-CPWF. s.l. : s.n., 4 p. Forum International sur l'Eau et l'Alimentation. 2, Addis Abéba, Éthiopie, 10 Novembre 2008/14 Novembre 2008.

http://www.ifwf2.org/addons/download_presentation.php?fid=1025

Communication sans actes

Prévisualisation

Version publiée - Anglais
Utilisation soumise à autorisation de l'auteur ou du Cirad.
document_546425.pdf
Télécharger (354kB) | Prévisualisation

Résumé : An Agent-Based Model (ABM) was co-designed with local rice farmers to represent the human-environment interactions between land/water use and labor management. A rainfed area of Ubon Ratchathani Province, Thailand was the study site. This ABM evolved along a Companion Modeling (ComMod) process to integrate the research team¿s scientific point of view with the local farmers¿ desired development outcomes. The model consists of four interacting components: Climate, Hydrology, Household, and Rice. The "Household" is a rule-based agent that makes daily decisions on the different stages of rice production including water and labor availability. Four main rice decision-making processes are modeled: i) nursery establishment, ii) transplanting, iii) harvesting, and iv) post harvest decisions including labor migration. The toposequence of lower to upper paddies and types of land use (water bodies, human settlement, paddy fields) are defined in model¿s spatial settings. The paper describes the structure of key decision-making algorithms implemented in this ABM. The participatory use of this model to facilitate the discovery and assessment of different water and labor availability scenarios is also explained. The impact of such scenarios on farming practices and labor management is also analyzed and discussed.

Mots-clés Agrovoc : Oryza

Mots-clés géographiques Agrovoc : Thaïlande

Classification Agris : P10 - Ressources en eau et leur gestion
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations