Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewedConventional

Effects of tree presence on forage yield and nutritive value in agroforestry livestock systems: a global systematic review

A. Ripamonti; M. Finocchi; A. Pulina; A. Franca; G. Seddaiu; L. Turini; Marcello Mele; A. Mantino

Agroforestry Systems · 2025

Read source ↗ All evidence

Summary

This global systematic review synthesises evidence on how tree integration in livestock agroforestry systems affects forage production and quality. The authors find that shade reduces herbage yield primarily through light limitation rather than nutrient competition, with effects on nutritive value varying by species and region—crude protein increases in shaded grasses but decreases in legumes. Optimal agroforestry success depends on low tree density, strategic placement, appropriate management practices, and species-specific responses to shade.

Regional applicability

UK temperate grassland and mixed farming systems could benefit from these findings on tree density and pruning management, though the review's global scope includes arid and tropical systems where water competition operates differently. Application would require adaptation to UK rainfall patterns and existing silvopasture practices.

Key measures

Herbage biomass yield; crude protein levels in grasses and legumes; fibre content; forage nutritive value; light availability; nutrient competition; water availability; tree density; grazing management; animal productivity

Outcomes reported

This systematic review evaluated the effect of tree presence on herbage biomass yield and forage nutritive quality across 131 research articles, five reviews, and four meta-analyses. The study measured changes in crude protein, fibre content, and overall forage quality under different tree densities, orientations, and management regimes.

Theme
Farming systems, soils & land use
Subject
Agroforestry & intercropping
Study type
Systematic Review
Study design
Systematic review and meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Agroforestry
DOI
10.1007/s10457-025-01214-8
Catalogue ID
NRmoef29zs-00n

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.