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How to navigate Land Sector and Removals Standard (LSRS) implementation while securing your climate change mitigation programme?
With the LSRS now published and taking effect next year, companies are verifying how they account for emissions, removals, traceability, and permanence.
This webinar will provide:
Strategic Clarity on LSRS Implementation
A Solution about the Permanence Risk
Carbon accounting distinguishes between two types of carbon loss (reversals). Understanding this distinction is vital for fair liability structures:
The Logic: By isolating avoidable reversals, we ensure that monitoring is directly linked to the farmer’s actions, fostering a shared incentive structure that builds trust in the regenerative movement.
While quantification methods are robust, the most significant gap is traceability and supply chain connectivity.
The latest standards clarify monitoring frequency, offering flexibility while maintaining scientific rigor:
New quantification requirements are forcing climate models to evolve toward higher transparency and accuracy:

.jpg)
How to navigate Land Sector and Removals Standard (LSRS) implementation while securing your climate change mitigation programme?
With the LSRS now published and taking effect next year, companies are verifying how they account for emissions, removals, traceability, and permanence.
This webinar will provide:
Strategic Clarity on LSRS Implementation
A Solution about the Permanence Risk
Carbon accounting distinguishes between two types of carbon loss (reversals). Understanding this distinction is vital for fair liability structures:
The Logic: By isolating avoidable reversals, we ensure that monitoring is directly linked to the farmer’s actions, fostering a shared incentive structure that builds trust in the regenerative movement.
While quantification methods are robust, the most significant gap is traceability and supply chain connectivity.
The latest standards clarify monitoring frequency, offering flexibility while maintaining scientific rigor:
New quantification requirements are forcing climate models to evolve toward higher transparency and accuracy:
