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Rangecroft et al. provide an important and interesting paper on the challenges of interdisciplinary research and fieldwork with participants in water resource management. The paper shows the challenges of interaction between their research areas and demonstrates the importance of how a researcher interacts with their selected study sites. My key points reflect the use of different methodologies within social and natural sciences and across them as well as the main challenge of who has the power to influence the research directions. Research is not value-free and is highly influenced by one's own training and knowledge, which needs to be addressed in the research activities. Finally, an option might be to move beyond interdisciplinary constraints and to work within a stronger transdisciplinary framework. Water research very much needs to interact with non-academic people to understand the challenges and possible solutions. [ABSTRACT FROM AUTHOR]

Joint research between economists and hydrologists increasingly contributes to optimising the economic value gained from water, while safeguarding its social and environmental values. The application of hydro-economic analysis to mining regions, however, is limited. This paper examines why this is the case and how to confront it. The paper focuses on identifying and describing features of large-scale mines and mine regions that are challenging to analyse such as: magnitude of capital involved, time-scale and remoteness of projects, inherent environmental risks, and strong negative perceptions about mining's impacts on water. These characteristics may limit the applicability of established hydro-economic concepts and methods, thus risk-based metrics are discussed as complementary tools. We also contend that further research and development in water-related ecosystem services should be a priority, in order to better quantify trade-offs between the economic benefits of water use by mining and competing users, including environmental flows. Case studies of mining regions in Chile, Madagascar and Sweden are summarised to illustrate some of the issues raised. While data limitations are an obstacle, new and extended case studies are required to explore how the challenges may be addressed. [ABSTRACT FROM AUTHOR]