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Regenerative Agriculture
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Regeneratively Managed Crop and Grasslands
credit protocol

GHG Benefits in Managed Crop and Grassland Systems Credit Class

credit class developer
Ecometric
status
Published
project activities
Regenerative Agriculture
Regeneratively Managed Crop and Grasslands
offset generation method
Carbon removal

In the case of this credit, the primary benefit that is monitored, quantified and used to determine the quantity of credits issued is Carbon Sequestration and storage. The additional benefits, or co-benefits, may be measured on a project by project basis as part of a formal protocol development process. Co-benefits (or secondary ecological benefits) are not currently considered in this credit class but a formal co-benefit measurement system is under development to be retrospectively added when complete, to allow for a credit that accounts for more than just carbon.

The primary indicator defined in this credit class is soil organic carbon. The units ofthis credit are: one crediting unit equals 1 metric ton of CO2e sequestered.

Document History

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Internal review
January - April 2023
Sam Bennetts
Dr. Gisel Booman, PhD
Head of Science, Regen Registry
Ned Horning
Principal Scientist, Regen Registry
Tica Lubin
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Initial submission
September 14, 2022
No items found.
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Published version 1
May 10,2023
No items found.
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Expert peer review
Sept 2022 - Dec 2022
Stuart Marsh, PhD
Professor Emeritus, The University of Arizona
Apostolos Papadopoulos, PhD
Professor, Harvard University
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Internal review round 2
Dec 1, 2022 - Sept 10, 2022
Dr. Gisel Booman, PhD
Head of Science, Regen Registry
Ned Horning
Principal Scientist, Regen Registry
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Published version 2 review process
May - July 2024
Dr. Gisel Booman, PhD
Head of Science, Regen Registry
Ned Horning
Principal Scientist, Regen Registry
Tica Lubin
Text Link
Internal review round 1
August 1, 2022
Dr. Gisel Booman, PhD
Head of Science, Regen Registry
Ned Horning
Principal Scientist, Regen Registry

Methodology

Published
methodology

Methodology for Soil Organic Carbon Estimation in Regenerative Cropping and Managed Grassland Ecosystems

This methodology protocol proposes the use of remotely sensed multispectral imagery and soil sample results to train an Artificial Neural Network (ANN) to monitor changes in Soil Organic Carbon (SOC) stocks, within a project area, through time.