GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 321–340 of 1236 papers

Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Climate ScienceDOI

Allometric Models for Estimating Biomass and Carbon in High-Andean Living Fences: Contributions to Climate Change Mitigation from Agroforestry Systems

Jesús Solarte, José Julián Apraez Muñoz, Álvaro Javier Ceballos Freire

This study evaluates biomass and carbon sequestration in five tree species in high-Andean living fences in Colombia, developing allometric models. Acacia and alder showed the highest biomass and carbon fixation, with good model fit, highlig…

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Peer-reviewedJournalEcology and Industry of Russia2026#Climate ScienceDOI

Universal Mathematical Model of Greenhouse Gas Absorption

P. S. Ermakova, S. N. Nikulina, I. K. Belova

A parametric model for estimating annual carbon budget in temperate terrestrial photoautotrophic ecosystems is proposed, separating GPP and respiration to compute NEP. GPP parameterization accounts for PAR, temperature, VPD, and CO2. It ser…

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Peer-reviewed🇪🇺 EuropeJournalEnvironmental Management2026#Climate ScienceDOI

Upscaling Chamber-measured Greenhouse Gas Emissions in Rewetted Peat Extraction Sites Using Drone and Satellite Imagery

Aleksi Isoaho, Milla Niiranen, Eveliina Väyrynen +2

Developed a method to upscale chamber-measured GHG emissions from rewetted peat extraction sites using drone and satellite imagery. Classified surface types with random forest and predicted %-covers with XGBoost on Sentinel-2 data. Fluxes v…

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Peer-reviewed🇨🇳 ChinaJournalNature Geoscience2026#Climate ScienceDOI

Reforestation dominated China’s forest carbon sink from 1986 to 2019

Wenru Xu, Zhihua Liu, Philippe Ciais +10

This study quantifies China's forest carbon sink from 1986 to 2019, showing that reforestation was the dominant driver. Using satellite data and models, it highlights the contribution of forest management and ecological restoration to clima…

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🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Climate ScienceDOI

How disturbances are shaping global forest carbon dynamics

Yidi Xu

This paper provides scripts for assessing the impact of disturbances (fire, logging, pests) on global forest carbon budgets. It enables modeling of carbon dynamics with disturbances, improving projections of forest carbon sinks.

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Peer-reviewedJournalInternational Journal of Multidisciplinary Applied Business and Education Research2026#Climate ScienceDOI

<b>Landsat-Based Monitoring of Mangrove Blue Carbon Supporting Industry 5.0 in Gresik Coastal Area</b>

Achmad Dadang Burhanuddin, Nur Islakhun Nisa', Masruhin Masruhin +1

This study estimates mangrove blue carbon stocks in Gresik, Indonesia using Landsat 8/9 imagery and NDVI. Among three industrial zones, Industry A had the highest carbon stock (60.31 tC). The integration of remote sensing and GIS offers a l…

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