Bruno Basso

John A. Hannah Distinguished Professor Michigan State University

  • East Lansing MI

Bruno Basso's research deals mainly with water, carbon, nitrogen cycling & modeling in agro-ecosystems.

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Spotlight

3 min

MSU team develops scalable climate solutions for agricultural carbon markets

Why this matters: Builds trust in carbon markets. This science-based baseline system dramatically improves accuracy, helping ensure carbon credits are credible and truly reflect climate benefits. Enables real climate impact by accounting for both soil carbon and nitrous oxide emissions, the approach delivers a full, net climate assessment. Scales across millions of acres. Tested on 46 million hectares in 12 Midwest states, this approach is ready for large-scale adoption, helping farmers transition to regenerative practices with confidence and clarity. New research from Michigan State University, led by agricultural systems scientist Bruno Basso, addresses a major problem in agricultural carbon markets: how to set an accurate starting point, or “baseline,” for measuring climate benefits. Most current systems use fixed baselines that don’t account for the soil carbon changes and emissions that would occur if business-as-usual practices were maintained on fields. Such inaccuracies can distort carbon credit calculations and undermine market trust. “The choice of baseline can dramatically influence carbon credit generation; if the model is inaccurate, too many or too few credits may be issued, calling market legitimacy into question,” said Basso, a John A. Hannah Distinguished Professor in the Department of Earth and Environmental Sciences, the Department of Plant, Soil and Microbial Sciences and the W.K. Kellogg Biological Station at MSU. “Our dynamic baseline approach provides flexible scenarios that capture the comparative climate impacts of soil organic carbon, or SOC, sequestration and nitrous oxide emissions from business-as-usual practices and the new regenerative system.” The research, published in the journal Scientific Reports, covers 46 million hectares of cropland across the U.S. Midwest, provides carbon market stakeholders with a scalable, scientifically robust crediting framework. It offers both the investment-grade credibility and operational simplicity needed to expand regenerative agriculture. Regenerative agriculture and carbon markets Regenerative agriculture includes practices like cover cropping, reduced or no tillage, diversified rotations, adaptive grazing and agroforestry. These methods restore soil health, enhance biodiversity, increase system resilience and help mitigate climate change by building SOC and reducing greenhouse gas emissions. Carbon markets offer a promising financial mechanism to accelerate regenerative transitions. By compensating farmers for verified climate benefits, they can act as either offset markets (for external buyers) or inset markets (within agricultural supply chains). However, the integrity of these markets hinges on reliable, science-based measurement, reporting and verification systems that integrate modeling, field data and remote sensing. A breakthrough multi-model ensemble approach To overcome limitations in traditional modeling, the MSU scientists and colleagues from different institutions in the U.S. and Europe deployed a multi-model ensemble, or MME, framework, using eight validated crop and biogeochemical models across 40,000 locations in 934 counties spanning 12 Midwestern states. The MME avoids model selection bias, lowering uncertainty in soil carbon predictions from 99% (with single models) to just 36% (with the MME). “This is a game changer for carbon markets,” said Basso. “It delivers a level of accuracy and scalability — from individual fields to entire regions — that current systems lack.” The MME platform also enables the creation of precalculated, practice-based dynamic baselines, reducing the burden of data collection and easing participation for producers. Improved mitigation assessments Unlike many approaches that consider only SOC, the MSU lead team’s study evaluates both SOC sequestration and nitrous oxide emissions to determine net climate impact. “This comprehensive assessment ensures that carbon credits represent true climate mitigation,” said Tommaso Tadiello, postdoctoral fellow in MSU’s Department of Earth and Environmental Sciences and co-author of the study. “A practice that increases soil carbon may improve soil health,” added Basso, “but it may not deliver actual climate benefits if it simultaneously increases nitrous oxide emissions. Our method provides a full accounting of the net climate effect.” The research team found that the combination of no-till and cover cropping delivered an average net mitigation of 1.2 metric tons of carbon dioxide-equivalent per hectare annually, potentially abating 16.4 teragrams of carbon dioxide-equivalent across the study area. This research was supported by the Michigan Department of Agriculture and Rural Development, U.S. Department of Energy’s Great Lakes Bioenergy Research Center, National Science Foundation Long-Term Ecological Research, Builders Initiative, The Soil Inventory Project, Generation IM Foundation, Walton Family Foundation, Morgan Stanley Sustainable Solutions Collaborative and MSU AgBioResearch.

Bruno Basso

2 min

Ask the Expert: How to make agriculture more sustainable

MSU’s Bruno Basso outlines key steps the grain industry can take — with public support — to reduce its greenhouse gas emissions by more than 70% over the next decade Michigan State University Foundation Professor Bruno Basso has long been a believer in the power of digital agriculture. For years, he’s worked to show how emerging digital tools and technologies — things like drones, robotics, satellite imagery and computer models of soil and plant growth — can help farmers promote sustainability without sacrificing profits. Now, in addition to belief, he also has concrete numbers. Basso, an ecosystems scientist in the College of Natural Science and the W.K. Kellogg Biological Station, has helped outline how America’s grain industry can shrink its carbon footprint by 71% by 2030. The team — which included researchers at Duke University, the U.S. Department of Energy’s Argonne National Laboratory and Benson Hill, a sustainable food technology company — published its findings online on June 21 in the journal the Proceedings of the National Academy of Sciences. Basso, who recently won a $250,000 award for sustainability innovations, sat down with MSUToday to talk about how farmers can achieve those reductions and how the public can help. The full article is attached and well worth the read.  Basso tackles tough questions such as: How big is this problem? How much of our greenhouse gas emissions come from agriculture? Your new paper focuses on grains in particular. How big of an emitter is grain production, especially compared to other ag sectors such as livestock, which tends to get more attention? You talked about getting a 23% reduction by better management of fertilizer. How do we get to a 70% reduction by 2030? What are the obstacles that we need to overcome by 2030? Are you a journalist looking to cover this topic then let us help. Bruno Basso is available to speak with media, simply click on his icon now to arrange an interview today.

Bruno Basso

Biography

Bruno Basso's research deals mainly with water, carbon, nitrogen cycling and modeling in agro-ecosystems for sustainable intensification and long-term sustainability. He uses geospatial analysis and tools linked to crop modeling.

During his carrier, Dr. Basso has participated as PI and Co-PI in several international projects. He is the author of more than 150 publications (Books written (2); chapters of books (6); technical refereed papers (47); Technical papers non refereed (98); invited keynote lectures (30).

Areas of Expertise

Sustainabile Intensification
Nitrogren
Water
Carbon
Agro-Ecosystems

Accomplishments

Innovation of the Year, Michigan State University Technology

2016

Fellow of the Soil Science Society of America

2015

Fellow of the American Society of Agronomy

2013

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Education

Michigan State University

PhD

Crop and Soil Sciences

2000

News

Carbon storage offers hope for climate - and cash for farmers

New York Post  online

2021-05-21

Farmers increasingly have been growing offseason cereals and grasses to prevent erosion and improve soil. Now, they're gaining currency as weapons against climate change. Experts believe keeping ground covered year-round rather than bare in winter is among practices that could reduce emissions of planet-warming gases while boosting the agricultural economy, if used far more widely.

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Midwest can adapt to climate change through soil management

AGDAILY  online

2021-03-10

Farmers in the Midwest may be able to bypass the warming climate not by getting more water for their crops but rather by adapting to climate change through soil management, says a new study from Michigan State University. “The Midwest supplies 30% of the world's corn and soybeans,” said Bruno Basso, an ecosystems scientist and MSU Foundation Professor in the Department of Earth and Environmental Sciences within the College of Natural Science.

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Michigan State researchers go high-tech to refine farming

Big Ten Network  online

2020-04-15

"We face a global paradox, that we have to produce more food with less land and under the tract of increased climate variability and extreme events that we witness just about every year now," says Bruno Basso, a professor in the Department of Earth and Environmental Sciences and lead researcher at the Digital Agricultural System Lab. "Compared to the past where the goal was only increasing production, we have to allow resources to be maintained more with integrity for the next generation, to continue to produce food."

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Patents

Methods and systems for precision crop management

US 12079874

2024

The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.

Journal Articles

Winter Wheat Experiments to Optimize Sowing Dates and Densities in a High-Yielding Environment in New Zealand: Field Experiments and AgMIP-Wheat Multi-Model Simulations

Open Data Journal for Agricultural Research

2024

This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat).

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Corn yield response to phosphorus fertilizer in Michigan: a metamodeling approach for phosphorus management policies

Journal of Agriculture and Food Research

2024

Phosphorus (P) pollution from nonpoint sources is a persistent agricultural externality. P fertilizer use in excess of crop removal leads to soil P accumulation and increases chance of P runoff from agricultural fields. For fertilizer-intensive crops such as corn, effective nutrient management can partly mitigate the externality associated with fertilizer use. In states such as Michigan with abundant freshwater resources that are vulnerable to P pollution and where corn is grown intensively, understanding yield response is instrumental for P management policies. We analyze corn yield response to P fertilizer and control for soil P

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Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass‐based biofuel production

GCB Bioenergy

2024

This study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass‐based biofuel production in Michigan. Using three life cycle assessment (LCA) databases—US lifecycle inventory (USLCI) database, GREET, and Ecoinvent—each with multiple versions, we recalculated the global warming intensity (GWI) and GHG mitigation potential in a static calculation. Employing Monte Carlo simulations along with local and global sensitivity analyses, we assess uncertainties and pinpoint key parameters influencing GWI. The convergence of results across our previous study, static calculations, and Monte Carlo simulations enhances the credibility of estimated GWI values.

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