Regenerative Agriculture & Soil Carbon Measurement and Modeling

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Research Brief

Summary

This research brief from Agoro Carbon focuses on regenerative agriculture and its role in soil carbon sequestration. It highlights the impact of land-use changes on greenhouse gas emissions and how conventional agricultural practices, such as excessive tillage and overgrazing, have led to significant soil carbon losses. Regenerative practices, including no-till farming, cover cropping, and rotational grazing, are presented as effective solutions to restore soil organic carbon (SOC) and improve soil health, ultimately increasing farm profitability and resilience against climate change.

The report also details Agoro Carbon’s approach to measuring and modeling SOC using scientifically validated methods. Their strategy involves stratified soil sampling, third-party lab analysis, and the use of the DayCent model to estimate SOC changes over time. The study underscores the importance of accurate carbon credit measurement and verification, aligning with Verra’s standards. Through their initiatives, Agoro Carbon aims to provide farmers with reliable tools to enhance soil health while contributing to global climate mitigation efforts.

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The impacts of water runoff on these watersheds after a significant rainfall event:
The photo is from a grower with long-term no-till crop rotation and cover crops
This photo is from a grower with conventional farming practices

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The Data Team
The Data Team
John Pullis, Susan Wang, Mehedy Hassan, Thomas Pudil, Adri Chamorro, Katy Miles, Austyn Sanchez, Rodrigo Miranda, Fugui Wang
Agoro Carbon’s Data Team comprises three unique but intricately tied professionals who work together to understand the impact of newly adopted regenerative agriculture practices on soil organic carbon (SOC) levels. The stratification group is responsible for using scientifically proven tools and datasets to understand the specific characteristics of the land enrolled program and help determine the number of and specific placement of locations for soil samples to be collected in order to fully and accurately represent the SOC levels of growers’ soils. The soil sampling group then takes this information. It is tasked with the logistical operations surrounding the collection and analysis of these soil samples in order to determine SOC levels during different phases of the project.  This collected data and the specific management data of each enrolled grower are then used by the modeling group, in conjunction with research findings from around the country and the world, to determine the full impact of carbon practices on current and future SOC levels on a grower-by-grower basis.
More about The Data Team

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