
00:00 | Welcome and introduction
Perennial's Priti Montanier welcomes guests, introduces the presenters, and gives an overview of the webinar agenda.
03:51 | Development and applicability
Perennial's Jim Kellner, PhD, presents the development history of VT0014, its applicability in agricultural land management methodologies, and its integration with Verra's VCS program. He gives insights into the challenges faced in the voluntary carbon markets and how VT0014 addresses them.
09:48 | VT0014 Core working group and advisory group
Overview of the tool’s core working group, advisory group, and the collaborative process that influenced its development.
13:45 | Technical description and use cases
Explanation of the technical aspects of VT0014, including digital soil mapping, its role in reducing sampling burdens and costs, and its compatibility with existing biogeochemical models. Describes use cases for digital soil mapping, past peer-reviewed research on it, and how VT0014 can be implemented globally.
25:28 | Insights from Project Developers
Panel discussion with Anthesis’ Daan van de Kamp, rTek’s Stuart Bowlin, Kateri’s Kevin Silverman, and Perennial’s Jim Kellner on the role of VT0014 in building consistency, trust, and scalability within carbon markets. Addresses questions on the tool's predictability, how it creates a framework for Scope 3 reduction and removal projects, and its ability to evolve over time.
35:04 | Panel topic: Opening up carbon markets in new regions
Stuart Bowlin of rTek describes how VT0014 enables regions like Kazakhstan with minimal samples to get involved in carbon markets and utilize tailored, fine-tuned models. Jim adds on that unique models give project developers the ability to innovate and find the solution that’s best for their situation.
43:18 | Panel topic: How VT0014 improves precision and efficiency
Jim describes how VT0014 improves precision and sampling efficiency compared to relying on samples alone. He explains how outcomes need to pass a coverage test, statistical test, and show predictive power to determine samples needed.
50:24 | Q&A Session
Jim responds to audience questions about safeguards in VT0014 for ensuring consistent accuracy of DSM models, why outcome-based validation matters, and what happens when uncertainty deductions put a project at risk of failure.