Researchers at Oregon State University, Texas A&M and Ghent University studied plant water use on a global scale across all climates. A new study in the journal Nature Ecology & Evolution may help ...
Plant and Soil, Vol. 412, No. 1/2, Part I: Special Issue: Belowground solutions to global challenges (March 2017), pp. 215-233 (19 pages) Aims: A soil-plant-atmosphere continuum (SPAC) model for ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
A spatially explicit mechanistic model, MAESTRA, was used to separate key parameters affecting transpiration to provide insights into the most influential parameters for accurate predictions of within ...
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