Publication Date: Research Org.: Oak Ridge National Lab. of Missouri, Columbia, MO (United States) USDA Agricultural Research Service, Tucson, AZ (United States).des Sciences du Climat et de l’Environnement, Paris (France) of California, Merced, CA (United States) Pennsylvania State Univ., University Park, PA (United States).of California, Berkeley, CA (United States) Indiana Univ., Bloomington, IN (United States).Together, these considerations offer a road map for clearer links between ecohydrological processes and the water potential gradients that have the ‘potential’ to substantially reduce conceptual and modelling uncertainties. Finally, we end by highlighting novel opportunities for linking more representative site-level observations of water potential to remotely sensed proxies. We discuss improvements to sensor technologies that facilitate in situ characterization of water potential, as well as strategies for building new networks that aggregate water potential data across sites. Here, we outline the conceptual and predictive gains that could be made with more continuous and discoverable observations of water potential in soils and plants. These gaps limit our conceptual understanding of biophysical responses to moisture stress and inject large uncertainty into hydrologic and land-surface models. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in situ, and plant water potential observations are generally discrete, sparse, and not yet aggregated into accessible databases. Water potential directly controls the function of leaves, roots and microbes, and gradients in water potential drive water flows throughout the soil–plant–atmosphere continuum.
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