Scientific Paper · source-verified

Scientific Literature on Carbon Dioxide Removal Revealed as Much Larger Through AI-Enhanced Systematic Mapping

Lück, Sarah; Callaghan, Max; Borchers, Malgorzata; Cowie, Annette; Fuss, Sabine; Gidden, Matthew; Hartmann, Jens; Kammann, Claudia; Keller, David P.; Kraxner, Florian; Lamb, William F.; Mac Dowell, Niall; Müller-Hansen, Finn; Nemet, Gregory F.; Probst, Benedict S.; Renforth, Phil; Repke, Tim; Rickels, Wilfried; Schulte, Ingrid; Smith, Pete; Smith, Stephen M.; Thrän, Daniela; Troxler, Tiffany G.; Sick, Volker; van der Spek, Mijndert; Minx, Jan C. · 2025-07-18

This study uses machine learning to conduct a large-scale systematic mapping of carbon dioxide removal (CDR) research, identifying nearly 29,000 relevant studies 3–4 times more than previously estimated. It reveals that CDR research is highly concentrated in specific options like biochar, dominated by technology-focused experimental studies, and disproportionately located in China and OECD countries. The study provides an open-access database to support climate assessments and policy decisions, including future IPCC reports.

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Lück, Sarah; Callaghan, Max; Borchers, Malgorzata; Cowie, Annette; Fuss, Sabine; Gidden, Matthew; Hartmann, Jens; Kammann, Claudia; Keller, David P.; Kraxner, Florian; Lamb, William F.; Mac Dowell, Niall; Müller-Hansen, Finn; Nemet, Gregory F.; Probst, Benedict S.; Renforth, Phil; Repke, Tim; Rickels, Wilfried; Schulte, Ingrid; Smith, Pete; Smith, Stephen M.; Thrän, Daniela; Troxler, Tiffany G.; Sick, Volker; van der Spek, Mijndert; Minx, Jan C.. 2025-07-18. Scientific Literature on Carbon Dioxide Removal Revealed as Much Larger Through AI-Enhanced Systematic Mapping. https://www.nature.com/articles/s41467-025-61485-8 (AI & Environment Resource Hub; record paper-350; collection snapshot 2026-09-15).

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Author or creator
Lück, Sarah; Callaghan, Max; Borchers, Malgorzata; Cowie, Annette; Fuss, Sabine; Gidden, Matthew; Hartmann, Jens; Kammann, Claudia; Keller, David P.; Kraxner, Florian; Lamb, William F.; Mac Dowell, Niall; Müller-Hansen, Finn; Nemet, Gregory F.; Probst, Benedict S.; Renforth, Phil; Repke, Tim; Rickels, Wilfried; Schulte, Ingrid; Smith, Pete; Smith, Stephen M.; Thrän, Daniela; Troxler, Tiffany G.; Sick, Volker; van der Spek, Mijndert; Minx, Jan C.
Publisher
Nature Communications
Publication date
2025-07-18
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day
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Unknown
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unknown
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unknown
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verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Climate & Weather
Legacy subdomain
Carbon Dioxide Removal (CDR) and AI for Systematic Evidence Mapping
journal
Nature Communications

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Source sheet: Scientific Paper · Row 354 · Original ID: paper-350.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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Related through shared environmental topics

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Shared topics: Governance and society; Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation

Scientific Paper · 2025-06-01

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Remote Sensing of Environment