Bruno Basso is John A. Hannah Distinguished Professor and MSU Foundation Professor of Earth and Environmental Sciences at Michigan State University.
He is an
agroecosystem scientist and a crop systems modeler with interest in long-term sustainability of agricultural systems, digital agriculture, circular bioeconomy.
His
research focuses on assessing and modeling spatial and temporal variability of crop yield, soil organic carbon, GHG emission, water, and nutrients fluxes across agricultural landscapes under current and future climates.
He
holds global patents on AI, remote sensing, and crop model systems to evaluate cropland productivity and environmental sustainability.
He is a
Fellow of the American Association for the Advancement of Science (AAAS); Soil Science Society of America (SSSA); American Society of Agronomy (ASA). He is the recipient of the
2021 Morgan Stanley Sustainability Solution Prize Collaborative; 2019 Outstanding Faculty Award at Michigan State University; 2016 Recipient of the Innovation of the Year Award from Michigan State.
He serves as
member of the Board of Agriculture and Natural Resources of the US National Academies of Sciences, Engineering and Medicine (NASEM). He is a
member of the Biological and Environmental Research Advisory Committee (BERAC), Department of Energy, Office of Science. He is
ranked as top 2% scientist across all disciplines (PLOS one, 2021).
He has published more than 200 peer-review papers, and several high profile journals (Nature Climate Change, Nature Food, Nature Plants, Nature Sustainability, Nature Communication, PNAS, Scientific Reports). His H-index is 62 and his citation in November 2022 are 16349.
He received his Ph.D. from Michigan State University.
Personal website or Curriculum Vitae (may be attached below or with email):
My research falls broadly in the area of sustainable agriculture. My approach is to integrate diverse disciplines such as Biophysics, Climatology, Hydrology, Genetics, Agronomy, and Soil Science to understand the overall agricultural systems and to improve decision-making across a broad spectrum of stakeholders, from the smallholder farmer in the developing world to the industrial producer and policy maker at all scales.
I am mainly interested in the ecosystem of row-crop production systems. Chemically intensive production requirements have raised serious concerns about the sustainability of these systems. Of particular importance is the ability to provide sustainable ecosystem services (crop production, carbon sequestration, and nitrogen conservation, in particular).
Key aspects of my approach include the following:
1.Developing and applying advanced crop system models to predict the impact of weather, soil and management on short-term and long-term yield, nutrient uptake, water use efficiency and environmental outcomes
2.Exploring the advances and limitations of different air and space-borne platforms to obtain remotely sensed data and link this information with algorithms to understand spatial and temporal nutrient and water uptake by plants and to integrate this information in quantitative models
3.Assessing the impact of climate variability and change on agricultural production systems.
The understanding of the spatial and temporal variability aspects of the soil-plant-atmosphere system is at the core of my research. One of my main research goals is to develop new technologies and transfer knowledge to farmers to better manage this variability and to quantify the risk associated with the decisions they make in order to optimize economic and environmental outcomes.