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.
Showing 1–20 of 837 papers
Qian Li, Tijana Martinović, Bartosz Adamczyk +7
This study examines how soil disturbances affect greenhouse gas dynamics, soil carbon stability, and microbial communities in drained peatland forests. It highlights the impact of disturbances on carbon storage and GHG emissions, underscori…
Chongyang Dong, Yu Wang, Yongshuai She +1
This study proposes an ensemble machine learning approach to simulate half-hourly carbon fluxes in China's forest ecosystems using limited meteorological data. By combining multiple ML models, the method improves estimation accuracy over tr…
Ryvanu Adi Nugroho, Djoni Hartono
This study analyzes the relationship between economic agglomeration (employment density) and per-capita carbon emissions across 514 Indonesian districts using an extended STIRPAT model. It finds a U-shaped nonlinear relationship: agglomerat…
MICHAEL SANMI AWOPETU, Adebimpe Moyosore Adefila, CHRISTOPHER JUNIOR BALLU
This study analyzes the causes and impacts of air pollution in The Gambia, identifying urbanization, vehicle emissions, biomass use, waste burning, and deforestation as major contributors. It assesses the role of the Atlantic Ocean and heal…
Wulan Tresna Mukti, Susanti Withaningsih, Asep Pranajaya +2
This study assessed carbon stocks in a montane forest in West Java, Indonesia, and evaluated their potential as indicators of ecosystem resilience. Average carbon stock was 192.77 tC/ha, with canopy trees contributing the most. Species dive…
Arianna Latini, Luciana Di Gregorio, Elena Valkama +7
This systematic review synthesizes evidence that organic matter application in EU agricultural soils enhances microbial biomass and activity, increases soil organic carbon, and potentially reduces N2O and CH4 emissions. Plant diversity is c…
Guixiang Zhou, Junxi Liu, Jiabao Zhang
This paper proposes a 'virus-mediated microbial carbon pump' concept, extending the microbial carbon pump theory by integrating soil viruses, microbes, and fauna interactions. It offers a new framework for understanding soil carbon sequestr…
Norberto Gomes de Araujo
This dataset supports the assessment of whole-ecosystem blue carbon stocks in a mangrove system in Timor-Leste. It includes field and lab measurements of vegetation structure, biomass, necromass, litter, and soil organic carbon across three…
Yongqi Zhao, Hong Liao, Lei Chen +3
This study uses WRF-Chem to assess how vegetation expansion under China's carbon neutrality pathway increases BVOC emissions and affects ozone pollution in the Beijing-Tianjin-Hebei region. In 2040, increased BVOCs raise urban MDA8 O3 by 3.…
Sonali McDermid, Benjamin I. Cook, Ram Singh +2
This study uses the last 150 years of reforestation in the eastern US as a historical analogue for Natural Climate Solutions, evaluating carbon stock recovery with TRENDY models. The multi-model mean total carbon stock recovers to values 10…
Hekuan Shu, Hai Wang, Chenwei Shen
This study uses CMIP6 simulations to show that East Asian aerosol emission reductions since 2013 have contributed to increased summer extreme heat events in Eastern China. Reduced aerosols increase shortwave radiation, shifting the westerly…
Chen M.
This paper investigates how nitrogen input to wetland ecosystems affects greenhouse gas emissions through soil labile carbon and nitrogen dynamics. It explores the mechanisms by which nitrogen enrichment alters carbon and nitrogen cycling, …
Shiekh Marifatul Haq, Muhammad Waheed, Ashutosh Kumar +3
This study evaluates carbon storage and its monetary value in mountain forests, examining relationships with elevation and forest structure. It provides insights for forest management and climate mitigation, though specific policy or indust…
YiShu Li, Hai Xiao, Dehua Mao +2
This study investigates internal carbon cycling and CO2 emissions in a subtropical urban shallow lake using multiple carbon fractions. It reveals mechanisms of greenhouse gas emissions from lakes, contributing to understanding carbon budget…
Marta Álvarez, Maribel I. García-Ibáñez, Nico Lange +27
CARIMED is the first harmonized data synthesis product for the Mediterranean Sea, integrating hydrographic, carbon, tracer, and ancillary data from 46 cruises (1976-2018). It applies quality control and bias adjustment, including a secondar…
Lidong Li, Tala Awada, Mark Stone +2
Using a deep learning model, this study evaluates the impacts of land-use and climate change on global soil organic carbon (SOC) storage. It identifies relative humidity (RH) as a previously overlooked control on SOC, showing that warming-i…
Martyn N. Futter, Mike Peacock, Emma E. Lannergård +5
Over three years, 40 Swedish constructed agricultural wetlands were monitored for water chemistry, dissolved GHGs, methane emissions, and sediment properties. Inlet phosphorus correlated positively with dissolved methane, revealing a tradeo…
Stubbendorff A.
This study systematically evaluates seven scores representing adherence to the EAT-Lancet reference diet and their associations with mortality, stroke, and greenhouse gas emissions across three cohorts. It provides evidence on how dietary p…
Hanafiah M.M.
This paper proposes characterization factors that use freshwater fish species extinction as an endpoint to assess the environmental impacts of water consumption and greenhouse gas emissions. It offers a method to integrate water resource an…
Peiyi Zhang
This review synthesizes knowledge on the variability and driving mechanisms of cropland nitrous oxide (N₂O) emission factors (EF). It highlights that fixed EFs fail to capture spatial and temporal heterogeneity, and recent advances in machi…
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