Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewedRegenerative

Livestock Grazing Technologies as the Leading Factor in Preserving the Quality of Pasture Ecosystems

International Journal of Agriculture and Biosciences · 2025

Read source ↗ All evidence

Summary

This 2025 narrative review reframes the drivers of pasture ecosystem preservation by positioning management technology—rather than animal type or stocking rate alone—as the primary leverage point for sustainability. The authors develop a comparative framework examining rotational, adaptive, and precision grazing systems as critical technological interventions affecting pasture health and ecological function. The work contributes conceptually to understanding how management systems engineering, implemented through modern grazing technologies, determines long-term pasture sustainability outcomes.

Regional applicability

The framework is likely applicable to UK grassland management, where rotational and adaptive grazing are established practices; however, adoption of precision grazing technologies remains variable across UK farms. The review's emphasis on technology-driven outcomes may inform UK policy discussions around sustainable intensification and agri-environment scheme design.

Key measures

Pasture ecosystem quality indicators; sustainability outcomes across different grazing technology systems; comparative effectiveness of rotational, adaptive, and precision grazing approaches

Outcomes reported

The review examines how livestock grazing technologies (rotational, adaptive, and precision grazing systems) function as primary determinants of pasture ecosystem quality and long-term sustainability. The study presents a comparative framework for evaluating technology-driven management systems rather than animal-centred factors alone.

Theme
Farming systems, soils & land use
Subject
Grassland & pasture systems
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Pasture-based livestock
DOI
10.47278/journal.ijab/2025.148
Catalogue ID
NRmo3f989t-001

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.