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.
Showing 421–440 of 1591 papers
Anna Taranenko, Serhiy Taranenko, Maksym Kulyk +3
This study estimates GHG emissions from different tillage practices for winter wheat on a Ukrainian farm. Conventional tillage emitted 319.24 t CO2e, driven by fertilizer synthesis and denitrification. No-Till cut emissions by 16.73% and en…
Tailakov O.V.
This work addresses algorithmic support for a digital platform monitoring fugitive greenhouse gas emissions from coal mining. Without an abstract, details are limited, but such monitoring infrastructure can improve the accuracy of methane m…
Zhang X.
A field study examining how combining nitrogen fertilizer with a nitrification inhibitor affects phytoremediation efficiency and greenhouse gas emissions in heavy-metal-contaminated soil. It suggests a possible co-benefit of suppressing N2O…
Hatano R.
A review synthesizing how land use change in peatlands drives greenhouse gas emissions. It covers drainage, agricultural conversion and deforestation that accelerate peat oxidation and CO2/N2O/CH4 release, and likely discusses rewetting and…
Borges A.V.
This study shows that African inland waters (rivers and lakes) are a globally significant source of greenhouse gases. It quantifies emissions often overlooked in terrestrial and oceanic carbon budgets, improving the accuracy of global GHG i…
Feofilovs M.
This paper proposes a conceptual framework for using remote sensing to estimate greenhouse gas emissions from peatlands in Latvia. Without an abstract, details are limited, but it addresses monitoring design for land-use emissions. Peatland…
Jadhav A.
This study applies an ARDL cointegration approach to examine how climate dynamics and agricultural inputs drive agricultural greenhouse gas emissions in India. It estimates long-run equilibrium and short-run dynamics, suggesting input-inten…
Galford G.L.
This study models how alternative futures of deforestation and agricultural management in the southern Amazon affect greenhouse gas emissions. It highlights how land-use and farming choices shape emission pathways. Direct business GX implic…
Woodrow R.L.
This study reports that greenhouse gas emissions from streams are enhanced at night and during flood events. It implies that carbon budgets for rivers and catchments may be underestimated when diurnal and event-scale variability is ignored.…
Yiqing Wang, Jinghui He, Josep Peñuelas +9
A global meta-analysis of 1,957 observations from 140 field experiments assessed how agricultural management shapes soil microbial carbon economic strategies (acquisition, conversion, allocation, release). Straw return raised acquisition, c…
Carvalho J.L.N.
A study examining the potential for soil carbon sequestration across Brazil's different biomes. Without an abstract, details are limited, but it likely assesses land-use and agricultural carbon sinks by region. The focus is the regional rol…
Amer P.
A methodological framework for incorporating genetic traits that affect greenhouse gas emission intensity into livestock selection indexes. It proposes weighting schemes that combine economic and environmental objectives to reduce emissions…
Venkat K.
A study on how food waste in the United States affects climate change and the economy. It sits in the literature linking food-loss reduction to both GHG mitigation and cost savings, relevant to waste- and supply-chain-related emissions. No …
Ren F.
A synthetic analysis estimating greenhouse gas emissions from manure-amended agricultural soils in China. It contributes to refining agricultural GHG inventories, though no abstract is available to detail methods or findings.
Cheng J.
This study proposes a synergistic system using N-doped biochar that remodels soil microbial functions to mitigate agricultural greenhouse gas emissions. It offers foundational insights relevant to agricultural emission reductions and carbon…
Brandenstein N.
A study analyzing the determinants of individual greenhouse gas emissions in Germany. The title indicates that key drivers are largely domain-specific rather than explained by a single generic factor. Without an abstract, methods and detail…
Makutėnienė D.
An empirical study examining the non-linear relationship between greenhouse gas emissions and agricultural economic performance in the Baltic countries. It likely tests threshold effects and trade-offs between emission reduction and agricul…
Kijewska A.
This study applies agglomerative clustering to greenhouse gas emission data from EU member states, grouping countries with similar emission structures. It typifies members by emission levels and trends, highlighting differences in mitigatio…
Ahmadreza Goharbakhsh, Haniyeh Rahbari, Kayvan Aghabayk
Using AIS, FAO food prices, and freight futures, the study assesses the 2026 Strait of Hormuz disruption via local projections and IMO GHG accounting. Hormuz transits fell up to 95.1%, and overland rerouting raised ton-km costs 2.4-4.2x and…
Mengjie Han, Lei Zhu, Minxuan Sun +16
Year-round eddy covariance measurements on Dachen Island (East China Sea) quantify forest NEE seasonality, driven mainly by shortwave radiation. The forest acts as a sink (55.6–114.4 gC m−2 yr−1), yet combined forest and fishery blue carbon…
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