Effective decision making for sustainability requires consideration of multiple evaluation criteria. A numerical weight, assigned to each criterion, is the most common tool used to formalize preferences in Multiple Criteria Decision Making (MCDM). However, there are methods other than applying weights, which can be used to explore and articulate preferences. Two such groups have been identified as aspirational and holistic methods. The authors are interested in establishing if the different approaches to MCDM vary in their ability to facilitate a learning environment. There has been little examination of how this might best be achieved. An attempt is made to set out some hypotheses about which characteristics of MCDM tools may best support such learning. Additionally, three MCDM tools, representing the weighting, aspirational and holistic methods, are evaluated through a workshop for their ability to support individual learning. This includes a new tool, referred to as Target Ordering, which explores preferences through criteria targets rather than applying a weight to the criteria themselves.
To meet the anticipated increase in global demand for food and fibre products, large areas of land around the world are being cleared and infrastructure constructed to enable irrigation, referred to herein as 'greenfield irrigation'. One of the challenges in assessing the profitability of a greenfield irrigation development is understanding the impact of variability in climate and water availability and the trade-offs with scheme size, cost and the sensitivity of crop yield to water stress. For example, is it more profitable to irrigate a small area of land most years or a large area once every few years? And, is it more profitable to partially or fully water the crop? This paper presents a new method for efficiently linking a river system model and an agricultural production model to explore the financial trade-offs of different management choices, thereby enabling the optimal scheme area and most appropriate level of farmer risk to be identified. The method is demonstrated for a hypothetical but plausible greenfield irrigation development based around a large dam in the Flinders catchment, northern Australia. It was found that a dam and irrigation development paid for and operated by the same entity is not, under the conditions examined in this analysis, economically sustainable. The method could also be Water Resour Manage (2016) used to explore the impact of different management strategies on the agricultural production and profitability of existing irrigation schemes within a whole of river system context.
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