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- W1568904791 abstract "This project aimed to develop, customise and promote seasonal climate forecast (SCF) technologies to improve the management of irrigated agricultural production systems in Lombok, Indonesia. The climate of Lombok is highly variable being significantly influenced by the El Nino Southern Oscillation (ENSO) phenomenon, which greatly affects the productivity of the predominantly rice-based local agriculture. By customising ENSO-based SCF technologies for use in regional agricultural management and planning, there is significant potential to increase Lombok's agricultural productivity and revenue in favourable seasons and reduce the risk of crop losses in dry years and prolonged droughts. To achieve this, the objectives of the project embodied a range of decision support and 'systems modelling' development, capacity-building and information dissemination components including:• Collecting, synthesising, modelling and collating hydrologic and climatic data for integration into a climate-based decision support system.• Developing decision support tools for optimising choice of crop, crop area and irrigation water allocation based on seasonal climate information.• Promoting SCF-based planning amongst irrigators, government officials and community leaders.• Building local capacity in the development and operational use of decision support systems." @default.
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- W1568904791 date "2009-09-01" @default.
- W1568904791 modified "2023-09-24" @default.
- W1568904791 title "Seasonal climate forecasting for better irrigation system management in Lombok, Indonesia" @default.
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