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1 Senaratna Sellamuttu, Sonali; Mith, S.; Hoanh, Chu Thai; Johnston, Robyn M.; Baran, E.; Dubois, M.; Soeun, M.; Craig, I.; Nam, S.; Smith, L. 2010. Commune agroecosystem analysis to support decision making for water allocation for fisheries and agriculture in the Tonle Sap Wetland System. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). 58p. (CPWF Project Report 71)
(Location: IWMI HQ Call no: e-copy only Record No: H043638)
(1.23 MB) (1.23MB)
This report synthesizes findings from the CPWF project number 71 titled “Commune Agroecosystem Analysis to Support Decision Making for Water Allocation for Fisheries and Agriculture in the Tonle Sap Wetland System.”
The Project on Commune Agroecosystem Analysis to Support Decision Making for Water Allocation for Fisheries and Agriculture in the Tonle Sap Wetland System was undertaken with the aim of improving fisheries considerations in the Commune Agroecosystem Analysis (CAEA) process undertaken in Cambodia, to facilitate better planning at the commune level. Under this project a number of changes were made to the CAEA tools and process and pilot tested in an adaptive, iterative manner in four communes – two that had conducted a CAEA previously and two that had not. Results and analyses indicated that the project had significantly strengthened the manner in which livelihoods, water resources and fisheries are now addressed by CAEA. The revised CAEA guidance manual has also shown potential for having wider uptake, and a number of tools have been used by several other projects within Cambodia.
(Location: IWMI HQ Call no: e-copy only Record No: H048520)
(1.57 MB)
Rivers provide unrivaled opportunity for clean energy via hydropower, but little is known about the potential impact of dam-building on the food security these rivers provide. In tropical rivers, rainfall drives a periodic flood pulse fueling fish production and delivering nutrition to more than 150 million people worldwide. Hydropower will modulate this flood pulse, thereby threatening food security. We identified variance components of the Mekong River flood pulse that predict yield in one of the largest freshwater fisheries in the world. We used these variance components to design an algorithm for a managed hydrograph to explore future yields. This algorithm mimics attributes of discharge variance that drive fishery yield: prolonged low flows followed by a short flood pulse. Designed flows increased yield by a factor of 3.7 relative to historical hydrology. Managing desired components of discharge variance will lead to greater efficiency in the Lower Mekong Basin food system.
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