Fencing the Flux: Seasonal Trends, Environmental Drivers, and Mitigation Opportunities of Methane Emissions From Farm Dams
Farm dams are significant methane (CH<sub>4</sub>) sources in agricultural landscapes. Fencing them to limit livestock access reduces organic matter and nutrient inputs, thereby limiting CH<sub>4</sub> emissions. However, existing studies on the benefits of fencing are constrained by short durations, omission of ebullitive fluxes, limited spatial and temporal coverage, and small sample sizes. Here, we report a large-scale, multi-season assessment of total CH<sub>4</sub> (diffusive + ebullitive) and carbon dioxide (CO<sub>2</sub>) fluxes from fenced and unfenced farm dams, along key environmental drivers. We monitored 113 farm dams in temperate mainland south-eastern Australia over 2 years, amounting to 39,552 and 45,408 hourly observations of total CH<sub>4</sub> and CO<sub>2</sub> fluxes, respectively. We integrated field-measured emissions with Sentinel-2 indices, topo-climate variables, and geostatistical models to identify flux drivers, quantify temperature sensitivity, and spatially extrapolate mitigation potential across Local Government Authorities (LGAs). We found that fencing reduced CH<sub>4</sub> fluxes by 66%-82% across seasons while also significantly lowering the temperature sensitivity of CH<sub>4</sub> fluxes, slowing the exponential rise in emissions under warming conditions. Specifically, CH<sub>4</sub> fluxes in fenced dams increased by 71% per 10°C warming (Q<sub>10</sub> = 1.71, E<sub>M</sub> = 0.4 eV), compared to unfenced dams increasing by 275% (Q<sub>10</sub> = 3.75, E<sub>M</sub> = 0.98 eV). CH<sub>4</sub> fluxes were driven by temperature, rainfall, and hydrological proxies (Modified Normalized Difference Water Index, MNDWI; Floating Algae Index, FAI), while CO<sub>2</sub> fluxes responded to rainfall and Normalized Difference Water Index (NDWI). Extrapolating our findings across the study area (~526,296 km<sup>2</sup>), fencing all farm dams could cut CH<sub>4</sub> fluxes by 1.16-1.35 kt year<sup>-1</sup>. By combining high-resolution emission data with scalable management strategies, this study offers a framework to improve greenhouse gas inventories and guide targeted climate mitigation in agriculture.
Authors
- Martino E. Malerba (ORCID: https://orcid.org/0000-0002-7480-4779)
- David B. Lindenmayer (ORCID: https://orcid.org/0000-0002-4766-4088)
- Benjamin C. Scheele (ORCID: https://orcid.org/0000-0001-7284-629X)
- Omosalewa Odebiri (ORCID: https://orcid.org/0000-0001-7483-5615)
- David Smith (ORCID: https://orcid.org/0000-0002-8861-129X)
Institutions
- Australian National University (AU)
- Deakin University (AU)
- RMIT University (AU)
Publication Details
- Journal
- Global Change Biology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/gcb.70637
- Citations
- 1
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- Australian Government