Understanding what shapes learning opportunities and outcomes of conducting farm GHG assessments

18 May 2026

Professor Julie Ingram, LUNZ Footprint’s lead, describes the work done by her and her colleagues on a learning and capacity building evaluation framework for the project.

As farmers are increasingly being asked to carry out farm GHG assessments, we need to rethink how  to evaluate the tools they use. In particular, rather than a focus on reporting and compliance, we need to understand how GHG assessments can be meaningful and help bring about change on farm that benefits all. Understanding how farmers and those who support them learn is central to this.

In the project we wanted to create a framework for examining what shapes the learning opportunities and outcomes of conducting farm GHG assessments. It is well known that learning and behaviour reinforce each other, but the ability to learn depends on conditions like institutions, resources and capacity—factors that are often overlooked.  This framework addresses that gap, focusing on the net zero transitions.

We have drawn on a wide range of theories on knowledge and learning which stress the need to build capacity for farmers and others in the agriculture community whilst tackling equity and access.  We think that GHG tools and advisory services may play a key role where and when the focus is on supporting learning and empowering farmers to understand the implications of GHG assessments. A number of relevant concepts have been combined in an overarching framework which is being used to structure the data collection and analysis in the project.

LUNZ Footprint framework for assessing learning and action in the context of GHG assessment. The focus of the analysis will be on the areas highlighted in green but incorporating an understanding of the role of the other dimensions

This framework has prompted a number of questions which the project is investigating, for example:

Read a summary of this work here.
We plan to report on progress on this website when our analysis is complete.