A dynamic model for water management at the farm level integrating strategic, tactical and operational decisions. (February 2018)

• Record Type: Journal Article
• Authors: Robert, Marion; Thomas, Alban; Sekhar, Muddu; Raynal, Hélène; Casellas, Éric; Casel, Pierre; Chabrier, Patrick; Joannon, Alexandre; Bergez, Jacques-Éric
• Is Part Of: Environmental modelling & software. Volume 100(2018)
• Page Start: 123
• Page End: 135
• Publication Date: 2018-02
• Subjects: Farmer's decision-making process -- Adaptation -- Modeling -- Climate change -- Water management policy; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2017.11.013
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Farming systems are complex and have several dimensions that interact in a dynamic and continuous manner depending on farmers' management strategies. This complexity peaks in Indian semi-arid regions, where small farms encounter a highly competitive environment for markets and resources, especially unreliable access to water from rainfall and irrigation. NAMASTE, a dynamic computer model for water management at the farm level, was developed to reproduce interactions between decisions (investment and technical) and processes (resource management and biophysical) under scenarios of climate-change, socio-economic and water-management policies. The most relevant and novel aspects are i) system-based representation of farming systems, ii) description of dynamic processes via management flexibility and adaptation, iii) representation of farmers' decision-making processes at multiple temporal and spatial scales, iv) management of shared resources. NAMASTE's ability to simulate farmers' adaptive decision-making processes is illustrated by simulating a virtual Indian village composed of two virtual farms with access to groundwater. Highlights: NAMASTE models farming systems in semi-arid regions highly dependent on irrigation. NAMASTE uses system-based representation of farming systems. NAMASTE describes dynamic processes via management flexibility and adaptation. Farmers' decision processes are represented at multiple temporal and spatial scales. NAMASTE allows the management of shared resources.