Basso, Bruno

Basso, Bruno

Bruno Basso

Crop Modeling, Land Use Sustainability
 307 Natural Science
  (517) 353-9009

Bruno Basso's research deals mainly with water, carbon, nitrogen cycling and modeling in agro-ecosystems, and spatial analysis of crop yield. Basso's modeling research has focused on extending soil-crop-atmosphere models to spatial domains at the field scale, and in particular on developing, testing, and deploying SALUS, a next-generation process-based model that integrates crop productivity with water, carbon, and nutrient fluxes in a spatially explicit manner. Through this research, it has been possible to integrate the effects of topography and soil properties on soil water balance, and thereby partition surface vs. subsurface flows in different landscape positions. This has important value for better understanding and predicting nitrogen conservation patterns in cropped landscapes as well as soil carbon change - and has led to important insights for the likely effects of climate change on carbon and water footprints of future cropping systems, as noted in recent publications.

Recent Publications

Basso, B. and J.T. Ritchie, 2014. Overstating temperature over drought effects on maize yield. In press, Nature Climate Change.
Bassu, S., N. Brisson, J.L. Durand, K. Boote, J. Lizaso, J.W. Jones, C. Rosenzweig, A.C. Ruane, M. Adam, C. Baron, B. Basso, et al., 2014. How do various maize crop models vary in their responses to climate change factors? Global Change Biology, doi:10.1111/gcb.12520.
Asseng, S., F. Ewert, C. Rosenzweig, J.W. Jones, J.L. Hatfield, A. Ruane, K.J. Boote, P. Thorburn, R.P. Rötter, D. Cammarano, N. Brisson, B. Basso, et al., 2013. Quantifying uncertainties in simulating wheat yields under climate change, Nature Climate Change, doi:10.1038/nclimate1916.
Basso, B., D. Cammarano, D. Fiorentino, J.T. Ritchie, 2013. Wheat yield response to spatially variable nitrogen fertilizer in Mediterranean environment. European Journal of Agronomy, 51, pp 65-70.
Dzotsi, K. A., B. Basso, J.W. Jones, 2013. Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT. Ecological Modelling. 260, pp: 62-76, doi:10.1016/j.ecolmodel.2013.03.017.


Researcher ID
University Research Corridor (URC) report