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

An organic matter database (OMD): consolidating global residue data from agriculture, fisheries, forestry and related industries

Gudeta W. Sileshi, Edmundo Barrios, Johannes Lehmann, Francesco N. Tubiello

Earth system science data · 2025

Read source ↗ All evidence

Summary

Sileshi et al. present the Organic Matter Database (OMD), the first comprehensive global consolidation of residue and by-product data from agriculture, fisheries, forestry and agro-processing industries. The database includes definitions, classification typologies and estimation methods to enable consistent reporting of these materials across sectors and nations. The work addresses a critical data gap by providing evidence-based quantification of residue availability at national and global scales, intended to support circular economy transitions and sustainable resource management policy.

UK applicability

The OMD framework and classification methods are applicable to UK agricultural and forestry residue management planning. The database will enable UK policymakers and farmers to benchmark national residue production against global norms and to identify opportunities for soil amendment and bioenergy applications consistent with circular economy commitments.

Key measures

Quantities of residues and by-products produced globally; nutrient concentrations in residues; national-level estimates of residue availability; competing end-uses (soil amendment, livestock feed, bioenergy, industrial applications)

Outcomes reported

The study presents the Organic Matter Database (OMD), consolidating global quantities and nutrient concentrations of residues and by-products from agriculture, fisheries, forestry and related industries. It provides national-level estimates of residue availability for soil amendment, livestock feed, bioenergy and other applications, alongside assessment frameworks for environmental impacts of residue management practices.

Theme
Measurement & metrics
Subject
Food & agricultural policy
Study type
Policy
Study design
Policy report
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Food supply chain
DOI
10.5194/essd-17-369-2025
Catalogue ID
SNmp0oinap-hknkm8

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.