A bottom-up approach to estimating emissions from food systems: Using Biennial Transparency Reports for fine- grained, country-level estimations

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cg.authorship.typesCGIAR single centre
cg.contributor.affiliationCenter for International Forestry Research
cg.contributor.donorCGIAR Trust Fund
cg.contributor.programAcceleratorClimate Action
cg.creator.identifierChristopher Martius: 0000-0002-6884-0298
cg.identifier.doihttps://doi.org/10.17528/cifor-icraf/009409
cg.identifier.urlhttps://www.cifor-icraf.org/publications/pdf_files/brief/9409-Brief.pdf
cg.placeBogor, Indonesia and Nairobi, Kenya
cg.reviewStatusInternal Review
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 13 - Climate action
dc.contributor.authorPingault, N.
dc.contributor.authorMartius, C.
dc.date.accessioned2026-01-07T02:37:24Z
dc.date.available2026-01-07T02:37:24Z
dc.identifier.urihttps://hdl.handle.net/10568/179447
dc.titleA bottom-up approach to estimating emissions from food systems: Using Biennial Transparency Reports for fine- grained, country-level estimationsen
dcterms.abstractEstimating greenhouse gas emissions from food systems remains a major challenge due to the lack of harmonized, sector-specific data that capture their cross-cutting nature. Food systems span all economic sectors along which national GHG inventories are usually structured: energy, industry, agriculture, land use and waste. However, national inventories are not fine-grained enough to disaggregate the share of food in those emissions, obscuring their full contribution and hindering integrated mitigation planning. Reliable, up-to-date country-level data are scarce, and global databases rely heavily on top-down estimates and outdated assumptions. To address this gap, we introduce a model estimating food system emissions (FSE) in Common Reporting Tables (CRT). The FSE-CRT model is a straightforward, transparent and bottom-up approach that draws exclusively on official national data, as reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC) through their Biennial Transparency Reports (BTRs) and CRTs. It offers a credible alternative to global datasets that is grounded in nationally generated data that countries can control and validate (data sovereignty), and aligned with their priorities for food security and self-determined reporting.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationPingault, N. and C. Martius (2025). A bottom-up approach to estimating emissions from food systems: Using Biennial Transparency Reports for fine- grained, country-level estimations. CIFOR-ICRAF Brief. Bogor, Indonesia and Nairobi, Kenya: CIFOR-ICRAF. https://doi.org/10.17528/cifor-icraf/009409
dcterms.extent12p
dcterms.issued2025-12-07
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCIFOR-ICRAF
dcterms.subjectgreenhouse gas emissions
dcterms.subjectfood systems
dcterms.subjecteconomic aspects
dcterms.subjectagricultural practices
dcterms.subjectclimate change mitigation
dcterms.typeBrief

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