Agricultural Carbon (Ag-C) Monitoring Program

Recordings of our Recent Webinars:

Recording of our “A Closer Look at Range-C: Simplified Carbon Monitoring on Rangelands” on November 19th, 2024.

Recording of our Quivira Coalition-hosted webinar on November 12th, 2024.

Your Guide to Tracking Carbon on Working Lands

The Agricultural Carbon Monitoring Program (Ag-C) features comprehensive guides to support land stewards with carbon monitoring on working lands. Developed through a collaborative process that brought together leading scientists and members of the farming and ranching community, the below Handbooks for rangelands (Range-C) and croplands (Crop-C) offer accessible and scientifically rigorous guidance on monitoring designs, sampling protocols, and laboratory methods. Point Blue Conservation Science also offers interpretation services for data submitted through the secure Ag-C portal (pending), which allows individuals to contribute to broader scientific understanding of conservation management practice impacts.

Crop-C

Building on the success of Range-C, the Cropland Carbon Monitoring Program (Crop-C) was released in the fall of 2024. The Crop-C Handbook guides users through the process of monitoring changes in carbon that result from common conservation farming practices. New features of this guide include a Quick-Form (highlighting key decisions), Pre-Assessment Survey, Project Cost Calculator and new recommendations for tracking bulk density in tilled systems. We recommend following the Crop-C Handbook from start to finish, but welcome users to navigate the sections in whatever way is most useful.

If you’re interested in learning details on our initial motivation to design this flexible monitoring framework, read our Crop-C scoping paper below.

Questions? email cropc@pointblue.org

Range-C

The Rangeland Carbon Monitoring Program (Range-C) was first introduced in July of 2023. The Range-C Handbook guides users through the process of monitoring changes in carbon in response to common conservation ranching practices. It is the first monitoring framework that we are aware of to offer fit-for-purpose monitoring designs alongside an “inference score” that provides data quality transparency. We recommend following the Range-C Handbook from start to finish, but welcome users to navigate the sections in whatever way is most useful.

 If you’re interested in learning details on our initial motivation to design this flexible monitoring framework, read our Range-C scoping paper below.

Questions? email rangec@pointblue.org