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Daniel Beverly
Indiana University BloomingtonMeeting roles in:
Comparison of Machine Learning-Based Pedotransfer Functions Using High-Resolution Soil Water Retention Data for Improved Ecohydrological Modeling
Coupling continuous water potential and electrical resistivity tomography observations provides novel insight on the seasonal controls of whole-plant conductivity limiting tree and forest gas exchange
Beyond Biomass: Integrating Stocks and Fluxes to Advance Forest Carbon Quantification
Wetting, Drying, and Memory: Improving our understanding of hysteresis in ecophysiological processes
From soil water to soil water potential: challenges and opportunities across the soil-plant-atmosphere continuum
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