Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialConference 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

All evidence

Summary

This conference paper presents methodological approaches for enhancing the visualisation of uncertainty within the trade-off triangle—a widely used tool in sustainable agriculture for evaluating competing objectives including productivity, environmental impact, and social benefit. The authors propose visual methods to better communicate uncertainty in these assessments, drawing on practices from geophysical science communication. The work is oriented towards strengthening decision support tools used in agricultural sustainability evaluation.

UK applicability

As a methodological contribution to sustainability assessment visualisation, this work would be broadly applicable to UK agricultural policy and farm-level decision-making contexts where the trade-off triangle is used. Its utility would depend on adoption of the proposed uncertainty visualisation approaches by UK advisory services and sustainability certification schemes.

Key measures

Visual representation techniques for uncertainty in trade-off triangle diagrams; integration of uncertainty quantification into agricultural sustainability evaluation frameworks

Outcomes reported

The study proposes visual methods for representing uncertainty within the trade-off triangle, a decision-support tool used to evaluate competing agricultural objectives (productivity, environmental impact, social benefit). The work aims to improve communication of uncertainty in agricultural sustainability assessments.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Methodological/conceptual paper
Source type
Conference paper
Status
Published
Geography
International
System type
Other
Catalogue ID
MGmowxcg2a-fwbv2c

Topic tags

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