ORIGINAL RESEARCH article
Front. Sustain.
Sec. Modeling and Optimization for Decision Support
Net greenhouse gas balances of South African pasture-based dairy farms using the DESTiny biogenic carbon model
Provisionally accepted- 1Stellenbosch University, Stellenbosch, South Africa
- 2ASSET Research, Pretoria, South Africa
- 3South African Environmental Observation Network, Pretoria, South Africa
- 4Milk SA, Pretoria, South Africa
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The DESTiny framework was used to calculate net greenhouse gas balances for 12 pasture-based dairy farms in South Africa's Garden Route. Farms were grouped as low-, moderate-, or high-input based on fertiliser use, purchased feed, stocking rate, conservation tillage, and forage self-sufficiency. Eleven of the 12 farms exhibited negative net GHG balances. Farm balances ranged from –15,211 to +6,764 t CO₂e year⁻¹, and carbon intensity per kg of fat-and-protein-corrected milk (FPCM) ranged from –2.21 to +0.53 kg CO₂e kg⁻¹ FPCM (median – 0.83 kg CO₂e kg⁻¹ FPCM). Low-input farms showed the most negative intensities (median – 1.09 kg CO₂e kg⁻¹ FPCM), followed by moderate-input farms (–0.94 kg CO₂e kg⁻¹ FPCM). High-input farms varied widely and included the only net source. External inputs (mostly purchased feed) and enteric methane each contributed approximately 40% of gross emissions. Farms achieving the greatest carbon accumulation potential typically combine high feed efficiency, strong milk solids, legume-rich pastures, conservation tillage, and near-complete reliance on home-grown forage. The results show that management decisions matter far more than input intensity, and that well-managed pasture-based dairies in this region generally maintain a negative net carbon flux. By fully integrating on-farm biogenic carbon fluxes, this work reveals that pasture-based dairy systems in temperate climates can have a strongly negative net carbon flux, transforming them from traditional emitters into verifiable climate assets.
Keywords: Biogenic Carbon2, DESTiny1, Net Greenhouse Gas4, Pasture-based Dairy3, System Dynamics Modelling5
Received: 11 Sep 2025; Accepted: 26 Jan 2026.
Copyright: © 2026 Reinecke, Blignaut, MEISSNER and Swanepoel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Riana Reinecke
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