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Creators/Authors contains: "Bertassello, Leonardo"

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  1. Abstract

    Coupled human‐water systems (CHWS) are diverse and have been studied across a wide variety of disciplines. Integrating multiple disciplinary perspectives on CHWS provides a comprehensive and actionable understanding of these complex systems. While interdisciplinary integration has often remained elusive, specific combinations of disciplines might be comparably easier to integrate (compatible), and/or their combination might be particularly likely to uncover previously unobtainable insights (complementary). This paper systematically identifies such promising combinations by mapping disciplines along a common set of topical, philosophical, and methodological dimensions. It also identifies key challenges and lessons for multidisciplinary research teams seeking to integrate highly promising (complementary) but poorly compatible disciplines. Applied to eight disciplines that span the environmental physical sciences and the quantitative and qualitative social sciences, we found that promising combinations of disciplines identified by the typology broadly reproduce patterns of recent interdisciplinary collaborative research revealed by a bibliometric analysis. We also found that some disciplines are centrally located within the typology by being compatible and complementary to multiple other disciplines along distinct dimensions. This points to the potential for these disciplines to act as catalysts for wider interdisciplinary integration.

    This article is categorized under:

    Engineering Water > Methods

    Human Water > Methods

    Science of Water > Methods

     
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    Free, publicly-accessible full text available March 1, 2025
  2. Abstract

    Millions of people displaced by conflicts have found refuge in water-scarce countries, where their perceived effect on water availability has shaped local water security discourses. Using an annual global data set, we explain the effects of refugee migrations on the host countries’ water stress through the food demand displaced by refugees and the water necessary to produce that food. The water footprint of refugee displacement increased by nearly 75% globally between 2005 and 2016. Although minimal in most countries, implications can be severe in countries already facing severe water stress. For example, refugees may have contributed up to 75 percentage points to water stress in Jordan. While water considerations should not, alone, determine trade and migration policy, we find that small changes to current international food supply flows and refugee resettlement procedures can potentially ease the effect of refugee displacement on water stress in water-vulnerable countries.

     
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  3. Abstract

    Wetlands play an important role in watershed eco‐hydrology. The occurrence and distribution of wetlands in a landscape are affected by the surface topography and the hydro‐climatic conditions. Here, we propose a minimalist probabilistic approach to describe the dynamic behaviour of wetlandscape attributes, including number of inundated wetlands and the statistical properties of wetland stage, surface area, perimeter, and storage volume. The method relies on two major assumptions: (a) wetland bottom hydrologic resistance is negligible; and (b) groundwater level is parallel to the mean terrain elevation. The approach links the number ofinundatedwetlands (depressions with water) to the distribution of wetland bottoms and divides, and the position of the shallow water table. We compared the wetlandscape attribute dynamics estimated from the probabilistic approach to those determined from a parsimonious hydrologic model for groundwater‐dominated wetlands. We test the reliability of the assumptions of both models using data from six cypress dome wetlands in the Green Swamp Wildlife Management Area, Florida. The results of the hydrologic model for groundwater‐dominated wetlands showed that the number of inundated wetlands has a unimodal dependence on the groundwater level, as predicted by the probabilistic approach. The proposed models provide a quantitative basis to understand the physical processes that drive the spatiotemporal hydrologic dynamics in wetlandscapes impacted by shallow groundwater fluctuations. Emergent patterns in wetlandscape hydrologic dynamics are of key importance not only for the conservation of water resources, but also for a wide range of eco‐hydrological services provided by connectivity between wetlands and their surrounding uplands.

     
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