Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Agricultural carbon footprint is farm specific: Case study of two organic farms

Cornelius Adewale, John P. Reganold, Stewart S. Higgins, R. Evans, Lynne Carpenter‐Boggs

Journal of Cleaner Production · 2019

Read source ↗ All evidence

Summary

This case study from 2019 examined the carbon footprint of two organic farms to investigate farm-specific variation in greenhouse gas balance and sequestration potential. The authors, affiliated with Washington State University's agricultural research programme, suggest that carbon footprint outcomes in organic systems are influenced by farm-specific factors beyond certification status, challenging generalised assumptions about organic farming's climate mitigation potential. The work contributes to the literature on climate impact assessment in alternative farming systems by highlighting the importance of contextual analysis rather than categorical claims.

UK applicability

The methodology and analytical approach may inform UK organic farm assessment frameworks, particularly as UK organic producers face increasing pressure to quantify climate credentials. However, findings from US-based farms may not directly transfer to UK conditions, which differ in climate, soil types, labour availability, and regulatory context.

Key measures

Agricultural carbon footprint (likely including emissions from inputs, operations, and soil carbon changes; specific metrics not determinable from title alone)

Outcomes reported

The study measured and compared the agricultural carbon footprint (greenhouse gas emissions and sequestration) of two organic farms operating under similar management philosophies but with different production characteristics. The research demonstrated that carbon footprint outcomes vary substantially between farms despite both being certified organic operations.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Case study
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Organic systems
DOI
10.1016/j.jclepro.2019.04.253
Catalogue ID
BFmovi20nx-4oxh11

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.