Pulse Brain · Growing Health Evidence Index
Conference paper

Visualisation of uncertainty for the trade-off triangle used in sustainable agriculture

Paul Harris, Taro Takahashi, Michael Lee

EGU General Assembly Conference Abstracts · 2017

Read source ↗ All evidence

Summary

This conference paper develops and presents visualisation methods to communicate uncertainty in agricultural sustainability trade-off analyses, specifically applied to the trade-off triangle framework. The work addresses a methodological gap in representing the inherent uncertainties when balancing multiple competing sustainability objectives in farming systems. As suggested by the title and presentation venue, the authors propose approaches to improve transparency and clarity in how uncertainty is communicated to stakeholders evaluating complex agricultural sustainability decisions.

UK applicability

The visualisation methodology could be applicable to UK agricultural policy and farm-level decision-making contexts where sustainability trade-offs (e.g. productivity, environmental impact, economic viability) must be communicated to farmers and policymakers with explicit acknowledgement of uncertainties. However, the paper's geographic focus and direct applicability to UK conditions cannot be determined from the metadata provided.

Key measures

Visualisation techniques for uncertainty representation in sustainability trade-off triangles

Outcomes reported

The study presents visualisation approaches to represent uncertainty within the trade-off triangle framework, a tool used to balance competing sustainability objectives in farming systems. The work addresses the methodological challenge of transparently communicating inherent uncertainties when evaluating complex sustainability decisions.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Methodological development
Study design
Methodological development
Source type
Conference paper
Status
Published
Geography
International
System type
Other
Catalogue ID
BFmowc1xys-o846gd

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.