Schlagwort: carbon sequestration

Peer-reviewed Publications

Rineau et al. (2026): Enhanced weathering leads to substantial C accrual on crop macrocosms

Francois Rineau, Alexander H. Frank, Jannis Groh, Kristof Grosjean, Arnaud Legout, Daniil I. Kolokolov, Michel Mench, Maria Moreno-Druet, Benoît Pollier, Virmantas Povilaitis, Johanna Pausch, Thomas Puetz, Tjalling Rooks, Peter Schröder, Wieslaw Szulc, Beata Rutkowska, Xander Swinnen, Sofie Thijs, Harry Vereecken, Janna V. Veselovskaya, Mwahija Zubery, Renaldas Žydelis and Evelin Loit, IN: Biogeosciences, https://doi.org/10.5194/bg-23-2261-2026

Enhanced weathering (EW) is proposed as a key strategy for climate change mitigation and carbon dioxide removal technology. Dissolution of silicate minerals enhances the alkalinity of the pore water, resulting at a shift of the carbonate system towards carbonate and bicarbonate, leading to higher dissolved inorganic carbon when the water is equilibrated with the atmosphere. Here, the authors evaluated the effects of EW on a crop ecosystem under future climate change conditions within a macro-scale ecotron – an enclosed facility enabling complete quantification of carbon fluxes among the atmosphere, vegetation, soil, and leachates.

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Peer-reviewed Publications

Petersen et al. (2026): Assessing CO₂ storage in Danish biochars using inertinite benchmarking

Henrik I. Petersen, Jonathan H. Lindhardt, Natalia Lukasik, Aleksandra Malachowska, Ole-Kenneth Nielsen, Arezoo Taghizadeh-Toosi, Hamed Sanei, IN: Biomass and Bioenergy, https://doi.org/10.1016/j.biombioe.2026.109179

This study evaluates the carbon fractions and CO₂ removal (CDR) potential of a suite of Danish biochar samples produced from typical agricultural feedstocks (wheat straw, wood), digestate, and organic waste across a range of pyrolysis temperatures. The CO₂ storage potential per unit mass of biochar is expressed using the directly measured inertinite carbon concentration (Cinert, wt.%) determined through the inertinite benchmarking methodology.

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Peer-reviewed Publications

Petersen et al. (2026): Assessing CO₂ storage in Danish biochars using inertinite benchmarking

Henrik I. Petersen, Jonathan H. Lindhardt, Natalia Lukasik, Aleksandra Malachowska, Ole-Kenneth Nielsen, Arezoo Taghizadeh-Toosi, and Hamed Sanei, IN: Biomass and Bioenergy, https://doi.org/10.1016/j.biombioe.2026.109179

This study evaluates the carbon fractions and CO₂ removal (CDR) potential of a suite of Danish biochar samples produced from typical agricultural feedstocks (wheat straw, wood), digestate, and organic waste across a range of pyrolysis temperatures.

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Peer-reviewed Publications

Buma et al. (2026): Expert elicitation on agricultural enhanced weathering reveals carbon dioxide removal potential and uncertainties in loss pathways

Brian Buma, Christiana Dietzen, Doria R. Gordon, Kate Maher, Rebecca B. Neumann, Noah J. Planavsky, Tom Reershemius, Tim Jesper Suhrhoff, Sara Vicca, Bonnie G. Waring, Maya Almaraz, Salvatore Calabrese, Louis A. Derry, M. Granger Morgan, John Higgins, Benjamin Z. Houlton, Yoshiki Kanzaki, Alexandra Klemme, Tyler Kukla, Emily E. Oldfield, Ian M. Power, Christopher R. Pearce, Whendee L. Silver & Shuang Zhang, IN: Communications Earth & Environment, https://doi.org/10.1038/s43247-026-03375-5

Enhanced weathering in agriculture is a potential gigatonne-scale carbon dioxide removal (CDR) pathway, but its potential remains difficult to constrain. The authors used a formal expert elicitation process to estimate CDR potential and efficiency, uncertainties, and key data needs for six feedstocks.

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Peer-reviewed Publications

Yaseen et al. (2026): Forest blue carbon sink accounting: methodological advancements and uncertainty analysis

Muhammad Yaseen, Waseem Razzaq Khan, Ping Li, Farhan Khalid, Umair Ahmed, Kashif Ali Solangi, Lingxiao Li, Marina Gul, Saraj Bahadur, Haider Sultan and Xiaoshan Zhu, IN: Journal of Forestry Research, https://doi.org/10.1007/s11676-026-01992-6

Mangroves, seagrass beds, and salt marshes represent key Blue Carbon Ecosystems (BCEs) that serve as vital carbon sinks, playing a crucial role in climate change mitigation. However, accurately quantifying blue carbon sequestration in these ecosystems remains challenging due to diverse environmental conditions, inconsistent methodologies, and substantial uncertainties. With the increasing urgency of global climate targets, reliable accounting methods are important for shaping policies and integrating blue carbon into carbon markets. In light of current needs, this review examined a range of carbon accounting methods, including isotopic methods, Unmanned Aerial Vehicles (UAVs), Remote Sensing (RS), modeling approaches (e.g., DeNitrification–DeComposition model (DNDC) and climate models), direct measurements (e.g., biomass sampling and eddy covariance), and Machine Learning (ML).

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Peer-reviewed Publications

Dong et al. (2026): Biochar for simultaneous soil remediation and carbon sequestration: application, mechanism, and development prospect – a comprehensive review

Yingbo Dong, Xujiao Guan and Hai Lin, IN: Environmental Earth Sciences, https://doi.org/10.1007/s12665-026-12834-3

Biochar, as a carbon-enriched porous material obtained via pyrolysis of biomass in anoxic environments, exhibits significant potential for application in soil remediation and carbon cycle management due to its unique physicochemical properties. This article reviews the application and action mechanism of biochar in the remediation of heavy metals and organic pollutants contaminated soils, and the effects of carbon sequestration.

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Peer-reviewed Publications

Yu (2026): Machine learning-based assessment of soil organic carbon dynamics in soybean–wheat rotations in eastern China

Zhi Yu, IN: Nature Scientific Reports, https://doi.org/10.1038/s41598-026-38105-6

Soil organic carbon (SOC) is a critical component of agroecosystems, influencing carbon cycling, soil fertility, and structure, thereby affecting crop productivity. This study evaluated the spatial distribution and dynamics of SOC stocks in eastern China under soybean–wheat rotations using advanced machine learning models. Data were collected from Anhui, Hebei, Henan, Jiangsu, Shandong, Tianjin, and Beijing, measuring SOC at two soil depths (0–15 cm and 15–30 cm) before sowing and after harvest during 2022–2024. Among the models tested, Random Forest (RF) provided the most accurate SOC predictions, particularly in the 0–15 cm layer (R² = 0.89, RMSE = 0.95, PRD = 3.41).

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Peer-reviewed Publications

Fu et al. (2026): Enhanced forest carbon gains from stronger protection in China’s protected areas

Yuwen Fu, Wang Li, Zheng Niu, Fang Chen, Bing Zhang, Hailang Qiao, Li Wang and Jens-Christian Svenning, IN: Nature Communications, https://doi.org/10.1038/s41467-026-69505-x

Protected areas (PAs) are central to China’s forest conservation strategy, yet their effectiveness for carbon storage across governance and management contexts remains unclear. A clearer understanding of their current and future carbon benefits is essential for informing conservation and climate policy. Here, using 1-km GEDI satellite data, the authors show that forests within China’s PAs store on average 68.29 ± 0.17 Mg C ha⁻¹ – about 13% more than matched unprotected forests.

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Peer-reviewed Publications

Deng et al. (2026): Carbon storage in Sichuan Province (Southwest China) from 1980 to 2050: Spatial-temporal variation, driving factors and future trends

Qinglian Deng, Yuqi Guan, Xiong Duan, Bin Chen and Kun Zeng, IN: PLOS ONE, https://doi.org/10.1371/journal.pone.0342398

Research on carbon storage is crucial for guiding regional sustainable development. However, Sichuan Province lacks long-term systematic analyses of carbon storage, and the driving mechanisms behind its changes remain unclear. This study systematically examines the spatiotemporal evolution of LUCC (land use/cover change) and carbon storage in Sichuan from 1980 to 2020, analyzes driving factors of carbon storage changes, and simulates future carbon storage distribution under different scenarios, based on LUCC data and 13 driving factors.

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Peer-reviewed Publications

Ma et al. (2026): Plastic shed horticulture can sequestrate more than expected soil organic carbon

Xiao Ma, Nazim Gruda, Kang Tian, Liying Wang, Ziliang Zhang, Ying Tang, Xun Li, Zengqiang Duan and Jinlong Dong,IN: Agriculture, Ecosystems & Environment, https://doi.org/10.1016/j.agee.2026.110274

The high organic input rates and expanding coverage of China’s plastic shed horticulture suggest these soils represent a significant potential organic carbon pool. Using meta-analysis (22,403 plastic-sheds and 261 studies), the authors assessed soil organic matter (SOM) storage in plastic shed soils (0–20 cm depth) in China, and projected global organic carbon stocks.

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