gxceed
GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Topic: #Climate Science (clear)

Showing 241–260 of 417 papers

🌍 Global📚 Peer-reviewed · JournalEnvironmental Research Communications2025#Climate ScienceDOI

The role of natural resource rent, economic sustainability, and renewable energy consumption on greenhouse gas emissions: an asymmetric analysis

Shang F.

This study analyzes the asymmetric impact of natural resource rent, economic sustainability, and renewable energy consumption on greenhouse gas emissions. Without an abstract, the specific dataset and countries are unclear, but it likely of…

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📚 Peer-reviewed · JournalEnvironmental Monitoring and Assessment2026#Climate ScienceDOI

A practical, low-cost floating flux chamber for measuring greenhouse gas emissions from small urban waterbodies

Bryn E. Reynolds, Cole J. C. Van De Ven, Evan Heyes +1

This paper presents a practical, low-cost floating flux chamber for measuring greenhouse gas (GHG) emissions from small urban waterbodies. It offers a simple alternative to expensive equipment, facilitating GHG quantification in urban envir…

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🇨🇳 China📚 Peer-reviewed · JournalEnvironmental Research Letters2026#Climate ScienceDOI

Substantial carbon sequestration potential over the Loess Plateau

Weixiang Cai, Chao Li, Lei Xu +5

This study evaluates carbon sequestration rates (CSR) in Loess Plateau ecosystems from 1980 to 2060 under three climate scenarios by integrating field data and models. It predicts a total increase of 2.62 Pg C in vegetation and soil, with C…

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🇨🇳 China📚 Peer-reviewed · JournalCommunications Earth & Environment2026#Climate ScienceDOI

Global patterns of stabilized soil organic carbon and their potential implications for climate mitigation

Zhaoxin LI, Ziheng Zou, Xiaobo Liu +12

This study maps global stabilized soil organic carbon in the top one meter using machine learning, estimating 1304 Pg C—about half of total soil carbon—concentrated in wetlands and cold regions. It introduces a metric of soil negative carbo…

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📚 Peer-reviewed · JournalNature Food2026#Climate ScienceDOI

Counting ozone reveals larger gains of decarbonization

Qinan Lu

This study shows that when ozone reduction benefits are counted alongside carbon reductions, the net gains from decarbonization are significantly larger than previously estimated. By quantifying air quality co-benefits, it strengthens the e…

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CN📚 Peer-reviewed · JournalAsian Journal of Water, Environment and Pollution2026#Climate ScienceDOI

Unraveling urban greenhouse gas variability in Hefei: Integrating anthropogenic, biogenic, and transport controls on carbon dioxide and methane

Dandan Liu, Xiangyuan Liu, Ke Tang +1

This study analyzes long-term XCO2 and XCH4 variability in Hefei using satellite, ground, and modeling data. XCO2 growth rate (2.41 ppm/yr) exceeds global average, with a seasonal peak in autumn. Strong anthropogenic combustion influence in…

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🌍 Global📚 Peer-reviewed · JournalEnvironmental Research Letters2026#Climate ScienceDOI

Nitrogen science for sustainable food systems and climate change mitigation

Diego Abalos, Klaus Butterbach-Bahl, Jorgen Olesen

This focus issue synthesizes nitrogen science across scales, addressing N2O emissions, nitrogen use efficiency, and accounting frameworks. It highlights integrated monitoring and modeling initiatives (SmartField, canN2Onet, N2Onet) and scen…

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📚 Peer-reviewed · JournalWorld Development Sustainability2026#Climate ScienceDOI

Africa's carbon emissions: Probing the economic determinants, forecasting and proposing a roadmap towards carbon neutrality using a machine learning algorithm

Ebenezer Appiah, Na Song, Isaac Appiah-Otoo +3

This paper uses machine learning to analyze economic determinants of Africa's carbon emissions, forecasts future trends, and proposes a roadmap toward carbon neutrality. It models Africa's unique economic structures and emission patterns.

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