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On the 12th of February, the AgriDENZ project hosted a webinar on farm-level GHG accounting where Koen Deconinck from the OECD Trade and Agriculture Directorate presented ongoing work including insights from a new comprehensive database of 200 tools for farm-level GHG estimation.
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This webinar presents the findings of a global meta-analysis examining the factors that regulate the effectiveness of biological nitrification inhibition (BNI) in reducing nitrous oxide (N₂O) emissions from agricultural systems. BNI is a plant-mediated process in which certain metabolites inhibit soil nitrifying microorganisms, slowing the conversion of ammonium to nitrate and potentially reducing N₂O emissions. By synthesizing results from 23 published studies, this analysis evaluates the influence of genetic, environmental, and management factors on cumulative N₂O emission reduction. The results highlight that plant genus and species, soil physical characteristics (including texture, clay and sand content, and bulk density), soil nutrient status (such as soil organic carbon, total nitrogen, available phosphorus, NH₄⁺ and NO₃⁻), drainage conditions, irrigation, geographic factors, measurement timing, and nitrogen fertilization practices (type and application rate) are key drivers shaping BNI effectiveness.
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Manure management on livestock farms contributes significantly to the climate impact of agriculture via emissions of methane, nitrous oxide and ammonia. The IPCC tier 2 method to estimate methane emissions, developed in 1996, is based on the maximal methane production rate of fresh excreta (B0) and a conversion factor MCF to account for storage conditions. This calculation concept was meant to be simple, because it should be applicable worldwide, including regions where the staff carrying out the calculations has limited information about manure management systems or expertise in how management and environmental conditions may affect the processes behind methane emissions. Three researchers with much experience in developing models to calculate methane emissions from livestock farming will present new improvements of the tier 2 method as well as alternative approaches for calculating the emission. The intention of the webinar is to stimulate new initiatives to investigate the calculation of methane emissions from manure management, with the aim to develop a new generation of methods.
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The Global Research Alliance (GRA), the African Climate Action Partnership (AfCAP), and the Government of New Zealand co-hosted this webinar to showcase the achievements of the New Zealand Climate Smart Agriculture (NZCSA) Initiative. The session highlights the initiatives key capability-building efforts across Africa focused on improving agricultural greenhouse gas (GHG) inventories, and the important role of the AfCAP Livestock Community of Practice. Through the NZCSA Initiative, technical work in ten countries has progressed beyond default emissions estimates to more advanced Tier 2 methodologies, enabling more accurate and country-specific data.
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As part of its ongoing commitment to supporting developing countries in strengthening agricultural productivity, food security, market competitiveness, and agricultural greenhouse gas (GHG) accounting, AgriDENZ launched Foundations for Change — a four-part webinar learning series.
The series provides targeted advice, technical support, and training to both existing and new partners across Africa and Asia. It is designed to foster informed dialogue and strengthen collaboration among stakeholders on the key drivers, tools, and investment opportunities shaping agricultural GHG mitigation, measurement, and management.
The first webinar, “What Is Driving Change? – Emerging Market and Policy Signals”, held on 27 May 2026, examined the accelerating commercial, policy, and regulatory pressures reshaping global agriculture. Frans van Wyk, Director of Agrifusion South Africa, drew on practical regional examples to illustrate how countries and producers must navigate these shifts.
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Elaine Mitchell, Naoya Takeda, Liam Grace, Peter Grace, Ken Day, Sahar Ahmadi, Warwick Badgery, Annette Cowie, Aaron Simmons, Richard Eckard, Matthew Tom Harrison, William Parton, Brian Wilson, Susan Orgill, Raphael A. Viscarra Rossel, David Pannell, Paige Stanley, Felicity Deane and David Rowling
In 2023, the Australian Government issued ~250,000 soil carbon credits following a measurement period characterised by high rainfall (Decile 10). The inferred soil organic carbon (SOC) sequestration rates during this period, ranging from ~2 to 8 t C ha−1 yr−1, significantly exceed rates reported in Australian scientific studies (~0.1 to 1.2 t C ha−1 yr−1). Our analysis, incorporating SOC and biomass measurements alongside remote sensing of NDVI, reveals that these SOC gains were largely attributable to above-average rainfall rather than project interventions. Moreover, these gains were not sustained when rainfall returned to average levels, raising concerns about the durability of credited sequestration and its additionality beyond natural climatic variability. Our findings demonstrate that current safeguards within the Soil Carbon Method—such as withholding 25% of credits during the first measurement period—are likely insufficient to account for climatic variability. To strengthen the integrity of the carbon crediting system, we recommend extending the minimum measurement period for credit issuance to at least five years. Additionally, governments should establish science-based ‘reasonable bounds’ for expected long-term SOC gains from management practices to sense-check reported outcomes. These measures will ensure that credited SOC sequestration is more closely tied to management-driven outcomes rather than short-term climate-driven fluctuations.
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