Abstract
Land managers face growing societal and policy expectations to produce more food, conserve biodiversity, enhance carbon sequestration, maintain economic viability and reduce greenhouse gas emissions, yet practices affording these outcomes may not be congruent. Using a transdisciplinary participatory approach with Australian sheep producers, we co-design interventions intended to reduce greenhouse gas emissions while simultaneously improving biodiversity, productivity and profitability. Planting native trees yields the greatest abatement potential, followed by antimethanogenic feed supplements. Nature-based solutions and emissions-removal practices are generally more profitable than emissions-reduction measures, particularly antimethanogenic feed additives. Nonetheless, carbon sequestration in soils and vegetation diminishes longitudinally and remains reversible, whereas emissions reductions, such as avoided enteric methane, are continual and permanent. We conclude that (1) greater benefits arise when interventions target contextualised economic, environmental, psychological and institutional constraints, and (2) stacking complementary innovations yields more favourable outcomes than isolated practice changes, particularly when interventions target underperforming indicators.
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Data availability
Data generated in this study are deposited in Zenodo under accession code https://doi.org/10.5281/zenodo.17708034. Further information are provided in the Supplementary Information file.
References
Harrison, M. T. Climate change benefits negated by extreme heat. Nat. Food 2, 855–856 (2021).
Liu, K. et al. Climate change shifts forward flowering and reduces crop waterlogging stress. Environ. Res. Lett. 16, 094017 (2021).
Harrison, M. T., Evans, J. R., Dove, H. & Moore, A. D. Recovery dynamics of rainfed winter wheat after livestock grazing 1. Growth rates, grain yields, soil water use and water-use efficiency. Crop Pasture Sci 62, 947–959 (2011).
Taylor, C. A., Harrison, M. T., Telfer, M. & Eckard, R. Modelled greenhouse gas emissions from beef cattle grazing irrigated leucaena in northern Australia. Anim. Prod. Sci. 56, 594–604 (2016).
Meier, E. A., Thorburn, P. J., Bell, L. W., Harrison, M. T. & Biggs, J. S. Greenhouse Gas Emissions From Cropping and Grazed Pastures Are Similar: A Simulation Analysis in Australia. Front. Sustain. Food Syst. 3, https://doi.org/10.3389/fsufs.2019.00121 (2020).
Ho, C. K. M., Jackson, T., Harrison, M. T. & Eckard, R. J. Increasing ewe genetic fecundity improves whole-farm production and reduces greenhouse gas emissions intensities: 2. Economic performance. Anim. Prod. Sci. 54, 1248–1253 (2014).
Ceballos, G. et al. Accelerated modern human-induced species losses: Entering the sixth mass extinction. Sci. Adv. 1, e1400253 (2015).
Diaz, S. et al. Pervasive human-driven decline of life on Earth points to the need for transformative change. Science 366, eaax3100 (2019).
Cabernard, L., Pfister, S. & Hellweg, S. Biodiversity impacts of recent land-use change driven by increases in agri-food imports. Nat. Sustain. 7 https://doi.org/10.1038/s41893-024-01433-4 (2024).
Burke, L. M. & Lashof, D. A. in Impact of Carbon Dioxide, Trace Gases, and Climate Change on Global Agriculture Vol. 53 27–43 (1990).
Tollefson, J. Intensive farming may ease climate change. Nature 465, 853 (2010).
Smith, P. et al. Greenhouse gas mitigation in agriculture. Philos. Trans. R. Soc. Lond. B Biol. Sci. 363, 789–813 (2008).
Henry, B. & Eckard, R. Greenhouse gas emissions in livestock production systems. Trop. Grasslands 43, 232–238 (2009).
Paustian, K. et al. Agricultural soils as a sink to mitigate CO emissions. Soil Use Manage 13, 230–244 (1997).
Department of Climate Change, Energy, the Environment and Water. Net zero, <https://www.dcceew.gov.au/climate-change/emissions-reduction/net-zero> (2025).
Harrison, M. T. et al. Carbon myopia: The urgent need for integrated social, economic and environmental action in the livestock sector. Glob Chang Biol 27, 5726–5761 (2021).
Rizzo, G., Migliore, G., Schifani, G. & Vecchio, R. Key factors influencing farmers’ adoption of sustainable innovations: a systematic literature review and research agenda. Org. Agric. 14, 57–84 (2024).
Fischer, K., Vico, G., Röcklinsberg, H., Liljenström, H. & Bommarco, R. Progress towards sustainable agriculture hampered by siloed scientific discourses. Nat. Sustain. 8, 66–74 (2025).
Herrero, M. et al. Greenhouse gas mitigation potentials in the livestock sector. Nat. Clim. Change 6, 452–461 (2016).
Honan, M., Feng, X., Tricarico, J. M. & Kebreab, E. Feed additives as a strategic approach to reduce enteric methane production in cattle: modes of action, effectiveness and safety. Anim. Prod. Sci. 62, 1303–1317 (2021).
Patra, A. K. A meta-analysis of the effect of dietary fat on enteric methane production, digestibility and rumen fermentation in sheep, and a comparison of these responses between cattle and sheep. Livest. Sci. 162, 97–103 (2014).
Patra, A., Park, T., Kim, M. & Yu, Z. Rumen methanogens and mitigation of methane emission by anti-methanogenic compounds and substances. J. Anim. Sci. Biotechnol. 8, 13 (2017).
Bilotto, F., Christie-Whitehead, K. M., Malcolm, B. & Harrison, M. T. Carbon, cash, cattle and the climate crisis. Sustain. Sci. 18, 1795–1811 (2023).
Kinley, R. D. et al. Mitigating the carbon footprint and improving productivity of ruminant livestock agriculture using a red seaweed. J. Clean. Prod. 259 https://doi.org/10.1016/j.jclepro.2020.120836 (2020).
Bilotto, F. et al. Costs of transitioning the livestock sector to net-zero emissions under future climates. Nat. Commun. 16, 3810 (2025).
Bilotto, F. et al. Towards resilient, inclusive, sustainable livestock farming systems. Trends Food Sci. Technol. 152 https://doi.org/10.1016/j.tifs.2024.104668 (2024).
Dittmann, M. T. & Leiber, F. Effect size and land-requirements of plant-based feeding interventions to reduce methane emissions from cattle and sheep in European subalpine regions. Anim. Feed Sci. Technol. 308, 115884–115884 (2024).
Harrison, M. T., McSweeney, C., Tomkins, N. W. & Eckard, R. J. Improving greenhouse gas emissions intensities of subtropical and tropical beef farming systems using. Agric. Syst. 136, 138–146 (2015).
Furtado, A. J. et al. Pigeon pea intercropped with tropical pasture as a mitigation strategy for enteric methane emissions of nellore steers. Animals (Basel) 13, 1323–1323 (2023).
Harrison, M. T. et al. The concordance between greenhouse gas emissions, livestock production and profitability of extensive beef farming systems. Anim. Prod. Sci. 56, 370–384 (2016).
Mokany, K. et al. Farm revegetation has substantial potential to improve biodiversity outcomes. Journal of Environmental Management 380, 125174 (2025).
Fleming, A. et al. Improving acceptance of natural capital accounting in land use decision making: Barriers and opportunities. Ecol. Econ. 200 https://doi.org/10.1016/j.ecolecon.2022.107510 (2022).
Eldridge, D. J. & Freudenberger, D. Ecosystem wicks: Woodland trees enhance water infiltration in a fragmented agricultural landscape in eastern Australia. Aust. Ecol. 30, 336–347 (2005).
Monckton, D. & Mendham, D. S. Maximising the benefits of trees on farms in Tasmania - a desktop review of investment opportunities to improve farm enterprise productivity, profitability and sustainability. Aust. For. 85, 6–12 (2022).
Veldman, J. W. et al. Tyranny of trees in grassy biomes. Science 347, 484–485 (2015).
Veldman, J. W. et al. Where tree planting and forest expansion are bad for biodiversity and ecosystem services. BioScience 65, 1011–1018 (2015).
Yang, Y. et al. Optimizing crop rotation increases soil carbon and reduces GHG emissions without sacrificing yields. Agric., Ecosyst. Environ. 342, 108220 (2023).
Balmford, A. et al. The environmental costs and benefits of high-yield farming. Nat. Sustain. 1, 477–485 (2018).
Wiedemann, S. G. et al. Application of life cycle assessment to sheep production systems: investigating co-production of wool and meat using case studies from major global producers. Int. J. Life Cycle Assess. 20, 463–476 (2015).
Gerber, J. S. et al. Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation. Nat. Food 5, 125–135 (2024).
Mueller, N. D. et al. Closing yield gaps through nutrient and water management. Nature 490, 254–257 (2012).
Turner, L., Wilkinson, R. & Kilpatrick, S. Recordkeeping helps increase farmer confidence to change practices. Rural Ext. Innov. Syst. J. https://doi.org/10.3316/informit.563509707797205 (2018).
Amorim, H. C. S. et al. Temperate silvopastures provide greater ecosystem services than conventional pasture systems. Sci. Rep. 13, 18658 (2023).
Canadell, J. G. et al. Multi-decadal increase of forest burned area in Australia is linked to climate change. Nat. Commun. 12, 6921 (2021).
Municipal Association of Victoria. Simplified native vegetation map of Victoria - pre 1750, <https://www.aph.gov.au/DocumentStore.ashx?id=abd52915-81ae-4fc4-8ee3-2ece6e58cb43> (2018).
Geoscience Australia. Natural vegetation – Pre-European settlement (1788) (Edition 2), <https://d28rz98at9flks.cloudfront.net/42280/42280_00_0.jpg> (2018).
Corona, A. P. Proceedings of the National Environmental Science Academy 2023 PREFACE. Rev. Int. Contam. Ambient. 39, V–20 (2023).
Travers, E., Härdtle, W. & Matthies, D. Corridors as a tool for linking habitats? Shortcomings and perspectives for plant conservation. J. Nat. Conserv. 60 https://doi.org/10.1016/j.jnc.2021.125974 (2021).
Luo, J., de Klein, C. A. M., Ledgard, S. F. & Saggar, S. Management options to reduce nitrous oxide emissions from intensively grazed pastures: A review. Agriculture Ecosystems & Environment 136, 282–291 (2010).
Waghorn, G. Beneficial and detrimental effects of dietary condensed tannins for sustainable sheep and goat production-Progress and challenges. Anim. Feed Sci. Technol. 147, 116–139 (2008).
Min, B. R. et al. Dietary mitigation of enteric methane emissions from ruminants: A review of plant tannin mitigation options. Animal Nutrition 6 https://doi.org/10.1016/j.aninu.2020.05.002 (2020).
Muleke, A. et al. Clarifying confusions over carbon conclusions: antecedent soil carbon drives gains realised following intervention. Glob. Environ. Change Adv. 1, 100001 (2023).
O’Grady, A. P. et al. Grazing systems and natural capital: Influence of grazing management on natural capital in extensive livestock production systems. Nat. Based Solut. 6, 100181 (2024).
Kabir, M. J. et al. Extreme weather dominates farm management effects on long-term trends in soil carbon. Trends Food Sci. Technol. 146, 104409 (2024).
Chen, F. et al. Cropland carbon stocks driven by soil characteristics, rainfall and elevation. Sci. Total Environ. 862, 160602 2023).
Glasson, C. R. K. et al. Benefits and risks of including the bromoform containing seaweed Asparagopsis in feed for the reduction of methane production from ruminants. Algal Research-Biomass Biofuels and Bioproducts 64 https://doi.org/10.1016/j.algal.2022.102673 (2022).
Adam, C. et al. The effect of Asparagopsis oil supplementation level on tissue residues and meat quality of Merino sheep fed high- or low-quality basal diets. Small Rumin. Res. 254, 107659 (2026).
Arndt, C. et al. Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5 degrees C target by 2030 but not 2050. Proc Natl Acad Sci USA 119, e2111294119 (2022).
Harrison, M. T., Christie, K. M., Rawnsley, R. P. & Eckard, R. J. Modelling pasture management and livestock genotype interventions to improve whole-farm productivity and reduce greenhouse gas emissions intensities. Anim. Prod. Sci. 54, 2018–2028 (2014).
Shahpari, S., Allison, J., Harrison, M. T. & Stanley, R. An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning. Land 10 https://doi.org/10.3390/land10040364 (2021).
Bewsell, D., Monaghan, R. M. & Kaine, G. Adoption of stream fencing among dairy farmers in four New Zealand catchments. Environ Manage 40, 201–209 (2007).
Sangha, K. K., Ahammad, R., Russell-Smith, J. & Costanza, R. Payments for Ecosystem Services opportunities for emerging Nature-based Solutions: Integrating Indigenous perspectives from Australia. Ecosyst. Serv. 66 https://doi.org/10.1016/j.ecoser.2024.10160 (2024).
Alcock, D. J., Harrison, M. T., Rawnsley, R. P. & Eckard, R. J. Can animal genetics and flock management be used to reduce greenhouse gas emissions but also maintain productivity of wool-producing enterprises?. Agric. Syst. 132, 25–34 (2015).
Browne, N. A., Eckard, R. J., Behrendt, R. & Kingwell, R. S. A comparative analysis of on-farm greenhouse gas emissions from agricultural enterprises in south eastern Australia. Anim. Feed Sci. Technol 166-167, 641–652 (2011).
Harrison, M. T. et al. Increasing ewe genetic fecundity improves whole-farm production and reduces greenhouse gas emissions intensities: 1. Sheep production and emissions intensities. Agricultural Systems 131, 23–33 (2014).
Matson, P. A., Parton, W. J., Power, A. G. & Swift, M. J. Agricultural intensification and ecosystem properties. Science 277, 504–509 (1997).
Kehoe, L. et al. Biodiversity at risk under future cropland expansion and intensification. Nat. Ecol. Evol. 1, 1129–1135 (2017).
Rawnsley, R. et al. A review of whole farm-system analysis in evaluating greenhouse-gas mitigation strategies from livestock production systems. Anim. Prod. Sci. 58, 980–989 (2018).
Pham-Kieu, M., Ives, S., Badgery, W. & Harrison, M. T. Tensions between private and public benefit associated with carbon farming. Sustain. Prod. Consump. 49, 387–397 (2024).
Phelan, D. C. et al. Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania. Agric. Syst. 167, 113–124 (2018).
Tao, R. et al. Optimizing Crop Management with Reinforcement Learning and Imitation Learning. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Ijcai 2023, 6228-6236 (2023).
Eshetae, M. A., Abera, W., Tamene, L., Mulatu, K. & Tesfaye, A. Understanding farm typology for targeting agricultural development in mixed crop-livestock farming systems of Ethiopia. Farming System 2 https://doi.org/10.1016/j.farsys.2024.100088 (2024).
Alvarez, S. et al. Capturing farm diversity with hypothesis-based typologies: An innovative methodological framework for farming system typology development. PLOS ONE 13, e0194757 (2018).
MLA. Sheep numbers – as at June 2021 Natural Resource Management Region. Available: https://www.mla.com.au/globalassets/mla-corporate/prices--markets/documents/trends--analysis/fast-facts--maps/mla_sheep-distribution-map-june-2021_v02-final.pdf [Accessed 16 June 2025]. (2022).
McLaren, C. Dry sheep equivalents for comparing different classes of livestock. (Department of Primary Industries, 1997).
Donnelly, J. R., Moore, A. D. & Freer, M. GRAZPLAN: Decision support systems for Australian grazing enterprises .1. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS. Agric. Syst. 54, 57–76 (1997).
Moore, A. D., Donnelly, J. R. & Freer, M. GRAZPLAN: Decision support systems for Australian grazing enterprises .3. Pasture growth and soil moisture submodels, and the GrassGro DSS. Agric. Syst. 55, 535–582 (1997).
Freer, M., Moore, A. D. & Donnelly, J. R. GRAZPLAN: Decision support systems for Australian grazing enterprises .2. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS. Agric. Syst. 54, 77–126 (1997).
McPhee, M. J. et al. GrassGro(TM) simulation of pasture, animal performance and greenhouse emissions on low and high sheep productivity grazing systems: 1-year validation and 25-year analysis. Animal 18, 101088 (2024).
Clark, S. G., Donnelly, J. R. & Moore, A. D. The GrassGro decision support tool: its effectiveness in simulating pasture and animal production and value in determining research priorities. Aust. J. Exp. Agric. 40, 247–256 (2000).
McKenzie, N. J. & Hook, J. Interpretations of the Atlas of Australian soils: consulting report to the Environmental Resources Information Network (ERIN). (CSIRO Division of Soils Technical Report 94/1992, 1992).
CSIRO and Bureau of Meteorology. Climate Change in Australia Information for Australia’s Natural Resource Management Regions: Technical Report. (CSIRO and Bureau of Meteorology, Australia, 2015).
Lopez, M. B., Dunn, J., Wiedemann, S. & Eckard, R. A Greenhouse Accounting Framework for Beef and Sheep properties based on the Australian National Greenhouse Gas Inventory methodology, <http://piccc.org.au/Tools> (2023).
Department of Agriculture Fisheries and Forestry. Australia’s forests 2016, <https://www.agriculture.gov.au/abares/forestsaustralia/profiles/australias-forests-2016> (2016).
Department of Climate Change, Energy, the Environment and Water. National Vegetation Information System (NVIS) Version 7.0 – Pre-1750 Vectors., <https://fed.dcceew.gov.au/datasets/0f192b24bb9042c38a49adca7966d836/about> (2024).
Giljohann, K. M. et al. Accounting for Australia’s threatened species: Estimating historical and recent change in terrestrial habitat. Ecol. Indicators 170, 112978 (2025).
Ferrier, S. et al. Mapping more of terrestrial biodiversity for global conservation assessment. BioScience 54, 1101–1109 (2004).
Hodge, I., Quille, P. & O’Connell, S. A review of potential feed additives intended for carbon footprint reduction through methane abatement in dairy cattle. Animals (Basel) 14, 568 (2024).
Badgery, W. et al. Reducing enteric methane of ruminants in Australian grazing systems - a review of the role for temperate legumes and herbs. Crop Pasture Sci 74, 661–679 (2023).
Clean Energy Regulator. Reforestation by environmental or mallee plantings FullCAM method 2014 (closed), <https://cer.gov.au/schemes/australian-carbon-credit-unit-scheme/accu-scheme-methods/reforestation-environmental-or-mallee-plantings-fullcam-method-2014-closed > (2024).
DCCEEW. National Forest and Sparse Woody Vegetation Data (Version 6.0 - 2021 Release). (2022). <https://www.data.gov.au/data/dataset/national-forest-and-sparse-woody-vegetation-data-version-6-0-2021-release>.
Clean Energy Regulator. Quarterly carbon market report: March quarter 2023, <https://cer.gov.au/markets/reports-and-data/quarterly-carbon-market-reports/quarterly-carbon-market-report-march-quarter-2023> (2023).
Stern, N. & Stiglitz, J. E. Report of the high-level commission on carbon prices, <https://static1.squarespace.com/static/54ff9c5ce4b0a53decccfb4c/t/59b7f2409f8dce5316811916/1505227332748/CarbonPricing_FullReport.pdf> (2017).
Coleman, K. & Jenkinson, D. S. RothC-A model for the turnover of carbon in soil Model description and users guide (Windows version). (2014).
Summers, D. M., Bryan, B. A., Nolan, M. & Hobbs, T. J. The costs of reforestation: A spatial model of the costs of establishing environmental and carbon plantings. Land Use Policy 44, 110–121 (2015).
Coopers, P. W. A. nature-positive Australia: The value of an Australian biodiversity market, <https://www.pwc.com.au/government/A-nature-positive-Australia-The-value-of-an-Australian-biodiversity-market.pdf> (2022).
Carbon Neutral. Biodiverse Reforestation: Putting a value on co-benefits- Yarra Yarra Biodiversity Corridor, <https://carbonneutral.com.au/co-benefits-blog/> (2022).
Clean Energy Regulator. Biodiversity Market Register, <https://cer.gov.au/markets/reports-and-data/biodiversity-market-register> (2025).
Clayton, E. Final report on the effects of omega-3 in Merino and Border Leicester x Merino first cross ewes and intergenerational effects in maidens. <https://www.mla.com.au/contentassets/c23c0149cf854aa9b8e1bf7cb22ac157/b.lsm.0018_final_report.pdf> (2014).
Smith, R. W. et al. Effects of wildlife grazing on the production, ground cover and plant species composition of an established perennial pasture in the Midlands region, Tasmania. Wildlife Res 39, 123–136 (2012).
Leech, F. J. et al. Comparative effect of alternative fertilisers on pasture production, soil properties and soil microbial community structure. Crop Pasture Sci 70, 1110–1127 (2019).
Acknowledgements
This project was funded by Australian Wool Innovation (AWI), who invests in research, development, innovation and marketing activities along the global supply chain for Australian wool (Project No. OF-00614; M.T.H., K.M.C.-W., S.M.), and Meat & Livestock Australia (Project No. B.CCH.2121; M.T.H., K.M.C.-W., G.B., K.M., R.A., R.W., G.R., L.W., N.D.B., S.M., F.C.G. and H.B.). AWI is grateful for its funding, which is primarily provided by Australian wool-growers through a wool levy and by the Australian Government, which provides a matching contribution for eligible R&D activities. We are grateful to the case study farmers for their time, effort and careful thought in co-refining results in the paper. We acknowledge support from Hamideh Keshavarzi in conducting the economic analyses. This study was approved by the University of Tasmania Human Research Ethics Committee (Ethics Reference Number H0017705). We thank Esri for the use of their ArcGIS Pro software (version 3.4) in the preparation of basemaps presented in this paper.
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G.B., K.M.C.-W. and M.T.H. wrote the first draft; R.A., L.J.W., F.C.G., N.D.B., G.B. and K.M.C.-W. conducted farm systems simulations; K.M. and H.B. conducted biodiversity assessments; G.B,. A.D., C.C., C.M.R., L.J.W., K.M.C.-W., and M.J.K. economic analyses; M.T.H. and S.M. liaised with case study farmers; R.W. and G.R. conducted FlintPRO simulations; M.T.H. conceptualised the study; G.B., K.M.C.-W. and M.T.H. conceptualised the interventions; all authors revised the manuscript.
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Bhattarai, G., Christie-Whitehead, K.M., Drake, A. et al. Tailoring Australian carbon farming can realise greater co-benefits. Nat Commun (2026). https://doi.org/10.1038/s41467-026-68628-5
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DOI: https://doi.org/10.1038/s41467-026-68628-5


