Programme  OS8a Capacity building  abstract 400

Improving Farmers’ Adaptive Capacity to Manage Water Dynamics Through Participatory Agent-Based Modelling and Simulation in Northeast Thailand

Author(s): W. Naivinit, Guy Trébuil, Manitchara Thongnoi, Christophe Le Page

Keyword(s): adaptive management, water dynamic, labour migration, companion modelling, agent-based model

Article: abs400_article.pdf
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Session: OS8a Capacity building
AbstractThe XIIIth World Water Congress 2008
Global changes and water resources:

Confronting the expanding and diversifying pressures
1-4 September 2008, Montpellier, France


session: Capacity building in developing countries

Submitted for oral


Improving Farmers’ Adaptive Capacity to Manage Water Dynamics
Through Participatory

Agent-Based Modelling and Simulation in Northeast Thailand

W. Naivinit1, C. Le Page2, M. Thongnoi3, and

G. Trébuil4

1 Faculty of Agriculture, Ubon Rajathanee Universit; Ph.D. student
at Chulalongkorn

University, Thailand and Paris X – Nanterre University, France;
2, 4Cirad, UPR Green, Montpellier, F34000

CU – Cirad ComMod Project, Chulalongkorn University, Bangkok, Thailand;
3 M.Sc. student,

Faculty of Agriculture, Ubon Rajathanee University, Thailand

Northeast Thailand

has the largest rainfed lowland rice (RLR) ecosystem in the kingdom and is notoriously known for its high rate of

poor smallholders. The unstable rice productivity as a consequence of an unfavourable ecological environment

(erratic rainfall and infertile soils) interacting with low price of rice drives these poor people to migrate for more

profitable employment leaving often their land and its water underused. During the last 15 years, small water

resource improvement programs launched by the Thai government under its poverty alleviation agenda had limited

success. Labour migration is an adaptive strategy to cope with the uncertainty of rainfall and its distribution. As a

consequence, off-farm employment becomes a more and more important source of income. But the relationship

between labour migrations and land and water management on the farms is still poorly documented.
Therefore, we

used the Companion Modelling (ComMod) approach to improve the understanding of this key interaction and to

reinforce stakeholders’ adaptive capacity to deal with uncertainty linked to water dynamics and labour management

in the Lam Dome Yai watershed of Ubon Ratchathani Province. ComMod facilitates dialogue, shared learning, and

collective decision-making to strengthen the adaptive management capacity of local communities through integrative

collaborative modelling. The cyclic ComMod process is made of iterative loops comprising field investigations,

modelling, and participatory simulations relying on the combinations of Role-Playing Games (RPG) and Agent-Based

Models (ABM) used with stakeholders. In this case study, 5 ComMod loops were carried out to better understand

the problem being examined, stimulate exchange of points of view and enhance the creativity of the participants while

lessening the black box effect of computer models. The key processes embedded in the models are based on

stakeholders’ decision-making driven by human-environment interactions. We take into account the diversity of farm

types with their specific strategies and means of productions. The RPG and the ABM represent this diversity as rule

-based agents (local farmers) managing this specific RLR ecosystem. The RPG mainly helped the stakeholders to

understand the rules and sequence of ABM simulation while the ABM helped the stakeholders to better understand

self-situation and examined causes of actions of other players. The ABM is used to identify the scenarios with local

farmers, and simulated for discovery learning towards to desirable scenarios.
The communication presents and

discusses the various effects of this participatory modeling and simulation process on the different components of

farmers’ adaptive capacity: learning and understanding the problem, capacity and network building through social

learning, and new behaviours and practices such as more cash crops the dry season when additional water is

available by very small farming households. The preliminary results of scenarios simulated with farmers are also

discussed. In conclusion we explain how the outcomes of such a ComMod process could be used to inform water

policies at the regional level.

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