This Credit Class and its accompanying methodology are designed to support the use of high-density, short-duration rotational targeted sheep grazing in vineyard systems to improve ecosystem functioning through active management of the soil and herbaceous cover in the vineyard understory. As with other Environmental Stewardship methodologies, the environmental benefits are implicit in the practice. Projects being developed under the Methodology for Grazing in Vineyard Systems are expected, based on prior research, to result in positive ecological outcomes. This methodology is new and likely imperfect and will be improved as new projects are created and lessons are learned.
Grazing in Vineyard Systems
credit protocol developer

Regen Registry
status
Published
project activities
Improved grazing
offset generation method

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Regen Registry
Registry
Regen Registry offers a flexible and interoperable toolkit for organizations and communities to develop, manage, and scale approaches to create ecological assets and finance projects.
Document History
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Initial submission
January 1, 2023
No items found.
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Expert peer review round 1
01/15/2023
Kelsey Brewer, PhD
UC Davis Doctoral Researcher
Juan Alvez, PhD
University of Vermont, Research Associate and Extension
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Expert peer review round 2
07/11/2023
Kelsey Brewer, PhD
UC Davis Doctoral Researcher
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Public comment
August 24, 2023
No items found.
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Methodology

Published
Methodology for Grazing in Vineyard Systems v1.0
This Environmental Stewardship methodology is designed to support the use of high-density, short-duration rotational targeted sheep grazing in vineyard systems to improve ecosystem functioning through active management of the soil and herbaceous cover in the vineyard understory. As with other Environmental Stewardship methodologies, the environmental benefits are implicit in the practice. Projects being developed under the Methodology for Grazing in Vineyard Systems are expected, based on prior research, to result in positive ecological outcomes. This methodology is new and likely imperfect and will be improved as new projects are created and lessons are learned.
