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

A farm platform approach to optimizing temperate grazing-livestock systems: metrics for trade-off assessments and future innovations

Paul Harris, Taro Takahashi, M. S. A. Blackwell, Laura Cardenas, Adrian L. Collins, Jennifer A. J. Dungait, Mark C. Eisler, J. M. B. Hawkins, T. H. Misselbrook, Graham A. McAuliffe, J. McFadzean, P. J. Murray, R. J. Orr, M. Jordana Rivero, Lianhai Wu, Michael Lee

EGUGA · 2017

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Summary

This paper presents a farm platform approach designed to optimise temperate grazing-livestock systems through comprehensive multi-metric assessment. The research, as indicated by its focus, developed tools for quantifying trade-offs between productivity and environmental performance, supporting evidence-based farm management and future system innovations in pasture-based livestock farming.

UK applicability

Directly applicable to UK farming context, as the research addresses temperate grazing systems prevalent in British agriculture. The metrics framework and trade-off assessment approach would inform UK farm management practices and policy around sustainable intensification of grassland-based livestock production.

Key measures

Environmental and productivity metrics for grazing-livestock systems; soil health indicators; greenhouse gas emissions; nutrient cycling; water quality; farm-scale trade-off assessments

Outcomes reported

The study developed and applied a multi-metric farm platform approach to assess trade-offs between productivity, environmental performance, and sustainability outcomes in grazing-livestock systems. As suggested by the title, the work evaluated key performance indicators across soil, water, greenhouse gas, and nutrient cycling dimensions.

Theme
Farming systems, soils & land use
Subject
Grassland & pasture systems
Study type
Research
Study design
Field trial
Source type
Conference paper
Status
Published
Geography
United Kingdom
System type
Pasture-based livestock
Catalogue ID
BFmoc27ro9-sdjd8h

Topic tags

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