Linking Farm-Level Measurement Systems to Environmental Sustainability Outcomes

The report analyzes the disconnect between farm-level 'means-based' indicators (which measure compliance with practices) and higher-scale 'impact' indicators (which measure ecosystem health). It argues that the current proliferation of uncoordinated metric initiatives leads to information overload and a lack of comparability. The authors advocate for a 'key impact approach'—focusing on a small set of strategic indicators—and the use of conceptual frameworks like DPSIR to bridge the gap between individual farm activities and landscape or national outcomes. Key recommendations include standardizing terminology, developing open data platforms, and adopting an evolutionary, stepwise approach to measurement.

• The proliferation of uncoordinated metric initiatives has created a 'cacophony of voices' and a lack of harmonization, making it difficult for decision-makers to compare data or identify which initiatives suit their needs.
• A 'key impact approach' is proposed as a pragmatic alternative to exhaustive lists of indicators, focusing on a few strategic 'headline' indicators linked to models to avoid stretching institutional capacity.
• There is a significant disconnect between the scale of management (the farm) and the scale of environmental impact (the landscape or ecosystem), creating a dilemma in how to attribute farm-level actions to larger-scale outcomes.
• The report identifies three types of information use for indicators: instrumental (decision-making), conceptual (learning and education), and legitimizing (defending actions or convincing others).
• The authors recommend a stepwise, evolutionary approach to measurement that begins with a few high-priority indicators embedded in a broad conceptual framework rather than attempting a comprehensive set from the start.
• The monetization of ecosystem services is presented as a potential incentive for farmers to adopt sustainable practices, provided that the delivery of these services can be verified through robust accounting.

APA

Russillo, A., & Pintér, L. (2009). Linking Farm-Level Measurement Systems to Environmental Sustainability Outcomes. International Institute for Sustainable Development. https://www.iisd.org/system/files/publications/linking_farm_level_measurement_systems.pdf

Chicago

Russillo, Aimee, and László Pintér. Linking Farm-Level Measurement Systems to Environmental Sustainability Outcomes. International Institute for Sustainable Development, 2009. https://www.iisd.org/system/files/publications/linking_farm_level_measurement_systems.pdf.

Wikipedia

{{cite report |last1=Russillo |first1=Aimee |last2=Pintér |first2=László |title=Linking Farm-Level Measurement Systems to Environmental Sustainability Outcomes |publisher=International Institute for Sustainable Development |date=October 2009 |url=https://www.iisd.org/system/files/publications/linking_farm_level_measurement_systems.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{russillo2009linking, author = {Russillo, Aimee and Pintér, László}, title = {{Linking Farm-Level Measurement Systems to Environmental Sustainability Outcomes}}, institution = {International Institute for Sustainable Development}, year = {2009}, month = oct, url = {https://www.iisd.org/system/files/publications/linking_farm_level_measurement_systems.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }