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 1181–1191 of 1191 papers

Peer-reviewed🌍 GlobalJournalSpringer Link (Chiba Institute of Technology)2026#Climate ScienceDOI

On the Use of Global Ecosystem Dynamics Investigation (GEDI) in the Mangrove Ecosystem. Estimation of Canopy Aboveground Biomass Density in Lian Batangas, Philippines

Jejomar Bulan, Jumar Cadondon, Floro Junior Roque +4

This study estimates mangrove aboveground biomass density (AGBD) using GEDI data in Lian Batangas, Philippines. AGBD ranged from 10 to 30 Mg/ha, with variations due to uneven planting periods. Findings support carbon stock assessment and su…

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Peer-reviewed🌍 GlobalJournalFrontiers in Microbiology2026#Climate ScienceDOI

Advancing methane mitigation in ruminants through feed additive combinations: efficacy, interactions, and implementation challenges

E. Ramos‐Morales, Juan Manuel Palma‐Hidalgo, John Richard Newbold +3

This paper reviews the use of feed additive combinations to mitigate methane emissions from ruminants. While individual additives show promise, validation in large-scale systems is lacking. The complexity of hydrogen metabolism and microbia…

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

AtlantECO Deliverable - D10.7 - AtlantECO Roadmap for future activities

André Abreu, Gillian B. Ainsworth, Bruno Buongiorno Nardelli +8

This roadmap builds on AtlantECO's achievements in integrating observations, omics, and modeling across the Atlantic basin. It outlines strategic directions for sustaining impact, linking climate variability, biodiversity, carbon cycling, a…

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Peer-reviewedJournalFrontiers in Climate2026#Climate ScienceDOI

Measuring carbon sequestration and climate change mitigation potential of croplands under different climatic scenarios using RothC model

Amanullah Adeel, Mustafa Hasani, G. Sonal Chonde +1

This study used the RothC and InVEST models to quantify historical and future soil organic carbon (SOC) dynamics in croplands of western India. Historical data (2010-2024) showed high sequestration rates, but future projections under CMIP6 …

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Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Climate ScienceDOI

P23-4 Effect of Tillage Methods on Greenhouse Gas Emissions from Paddy-Upland Rotation Fields: A Case Study of Hokkaido Peat Soil Field Using LCA Method (Poster Presentation, 23. Global Environment, 2009 Kyoto Conference)

P23-4 耕起法が水田転換畑における温室効果ガス発生量に及ぼす影響 : LCA手法を用いた北海道泥炭土圃場の事例(ポスター紹介,23.地球環境,2009年度京都大会)

(著者不明)

This study evaluates the impact of different tillage methods on greenhouse gas emissions from paddy-upland rotation fields in Hokkaido peat soil using LCA methodology. It provides insights for GHG mitigation in agricultural practices.

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Peer-reviewed🇨🇳 ChinaJournalSustainable Development2026#Climate ScienceDOI

Agricultural Land Use Change and Environmental Quality Nexus: Implications for Sustainable Development Goals 11, 13, and 15

Shah Fahad, Aftab Khan, Muhammad Luqman +1

This study examines the impact of arable land, grazing land, and forest area changes on CO2 emissions in Pakistan from 1990-2021 using ARDL. Forest area reduces emissions by 25.98% short-run and 17.10% long-run; grazing land increases emiss…

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Peer-reviewed🌍 GlobalJournalFrontiers in Climate2026#Climate ScienceDOI

Deep learning model anticipates climate change induced reduction in major commodity crop yields for Canada in 2050

Amanjot Bhullar, Khurram Nadeem, Nathaniel K. Newlands +2

This study uses deep learning to predict the impact of climate change on major crop yields in Canada. It projects declining suitability for canola, peas, spring wheat, and soy in the Prairies by 2050, with gains for barley and oats. Net los…

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