Grazing intensities versus stocking methods: Implications for greenhouse gas emissions in integrated crop-livestock systems

Predicted global warming of 2.7 °C by the end of the century threatens the Paris Agreement targets, underscoring the need for improved food-system management to increase productivity while reducing greenhouse gas (GHG) emissions. Integrated crop–livestock systems (ICLS) represent a promising pathway, although important uncertainties remain regarding the balance between carbon dioxide (CO 2 ) removal and methane (CH 4 ) and nitrous oxide (N 2 O) emissions. Therefore, this study assessed how stocking methods (continuous vs. rotational) and grazing intensities (moderate vs. low) affect the global warming potential (GWP) and GHG emission intensity (GHGI) of ICLS relative to ungrazed areas. The experiment combined soybean [ Glycine max (L.) Merr.] and maize ( Zea mays L.) in rotation with Italian ryegrass ( Lolium multiflorum Lam.) grazed by sheep. Over three years, GWP (kg CO 2 eq ha -1 yr -1 ) was quantified based on net CO 2 , N 2 O, and CH 4 emissions, together with the energy costs of farming operations. ICLS produced more crude protein (grain plus meat) than ungrazed areas (842.4 ± 53.2 vs. 586.6 ± 20.0 kg ha -1 yr -1 ; P < 0.01), corresponding to a 44% increase. However, ICLS was a net GHG source (+1786.5 kg CO 2 -eq ha -1 yr -1 ; P < 0.01), with sheep enteric CH 4 emission accounting for approximately 49% of total GWP. Moderate grazing intensity increased GHGI relative to low grazing intensity (6.19 ± 0.27 vs. 4.47 ± 0.32 kg CO 2 -eq kg -1 crude protein yr -1 ; P < 0.01) across stocking methods. Overall, grazing intensity had a greater influence on GHGI than stocking method, identifying grazing intensity as the primary lever for emission intensity control in ICLS. Despite enteric CH 4 emissions, these findings highlight that ICLS can be optimized through management to reconcile productivity and climate mitigation. • Integrated systems boost protein yield but also total greenhouse gas emissions • Methane from grazing animals drives the climate footprint of integrated systems • Soil carbon gains from integration partly offset the system's total emissions • Halving grazing intensity cut the emission intensity of protein production • Grazing intensity, not the stocking method, was the main driver of climate impact

Authors

Institutions

Publication Details

Journal
Journal of Agriculture and Food Research
Published
2026-01-29
DOI
https://doi.org/10.1016/j.jafr.2026.102730
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Grazing intensities versus stocking methods: Implications for greenhouse gas emissions in integrated crop-livestock systems

Vicente José Laamon Pinto Simões, Diego Fernandes de Bastos, Jean Víctor Savian, Carolina Bremm et al.
Journal of Agriculture and Food Research
Agriculture Sustainability and Environmental Impact
article

Grazing intensities versus stocking methods: Implications for greenhouse gas emissions in integrated crop-livestock systems

Vicente José Laamon Pinto Simões, Diego Fernandes de Bastos, Jean Víctor Savian, Carolina Bremm, Paulo Cesar de Faccio Carvalho, Jeferson Diekow, Alexandre Berndt, Taise Robinson Kunrath, Cimélio Bayer
article en

Abstract

Predicted global warming of 2.7 °C by the end of the century threatens the Paris Agreement targets, underscoring the need for improved food-system management to increase productivity while reducing greenhouse gas (GHG) emissions. Integrated crop–livestock systems (ICLS) represent a promising pathway, although important uncertainties remain regarding the balance between carbon dioxide (CO 2 ) removal and methane (CH 4 ) and nitrous oxide (N 2 O) emissions. Therefore, this study assessed how stocking methods (continuous vs. rotational) and grazing intensities (moderate vs. low) affect the global warming potential (GWP) and GHG emission intensity (GHGI) of ICLS relative to ungrazed areas. The experiment combined soybean [ Glycine max (L.) Merr.] and maize ( Zea mays L.) in rotation with Italian ryegrass ( Lolium multiflorum Lam.) grazed by sheep. Over three years, GWP (kg CO 2 eq ha -1 yr -1 ) was quantified based on net CO 2 , N 2 O, and CH 4 emissions, together with the energy costs of farming operations. ICLS produced more crude protein (grain plus meat) than ungrazed areas (842.4 ± 53.2 vs. 586.6 ± 20.0 kg ha -1 yr -1 ; P < 0.01), corresponding to a 44% increase. However, ICLS was a net GHG source (+1786.5 kg CO 2 -eq ha -1 yr -1 ; P < 0.01), with sheep enteric CH 4 emission accounting for approximately 49% of total GWP. Moderate grazing intensity increased GHGI relative to low grazing intensity (6.19 ± 0.27 vs. 4.47 ± 0.32 kg CO 2 -eq kg -1 crude protein yr -1 ; P < 0.01) across stocking methods. Overall, grazing intensity had a greater influence on GHGI than stocking method, identifying grazing intensity as the primary lever for emission intensity control in ICLS. Despite enteric CH 4 emissions, these findings highlight that ICLS can be optimized through management to reconcile productivity and climate mitigation. • Integrated systems boost protein yield but also total greenhouse gas emissions • Methane from grazing animals drives the climate footprint of integrated systems • Soil carbon gains from integration partly offset the system's total emissions • Halving grazing intensity cut the emission intensity of protein production • Grazing intensity, not the stocking method, was the main driver of climate impact

Journal of Agriculture and Food ResearchVol. 26
Universidade Federal do Rio Grande do Sul (BR), Brazilian Agricultural Research Corporation (BR), Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR), Instituto Nacional de Investigación Agropecuaria (UY), Universidade Federal do Paraná (BR)
Openalex Percentile: Top 77%
Agriculture Sustainability and Environmental Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.