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 401–420 of 1591 papers
Pryor S.W.
A study assessing how different agricultural practices affect energy use and greenhouse gas emissions in South African sugarcane production. It appears to contribute farm-level emissions inventory or LCA-type evidence relevant to decarboniz…
Caviglia M.
This study estimates greenhouse gas emissions from volatile anaesthetics (e.g. desflurane, sevoflurane) across 41 countries over 2013–2023. These agents have high global warming potentials yet are often poorly captured in national inventori…
Sarbassov Y.
A case study quantifying greenhouse gas emissions from municipal solid waste management at Astana International Airport. It highlights the decarbonization potential of waste handling at a specific facility. Detailed methods and findings are…
Xie Y.
An empirical study examining how agricultural economic quality and energy consumption affect greenhouse gas emissions across China's major grain-producing regions. It offers a lens on balancing agricultural decarbonization with economic dev…
Kai Cheng, Ang Chen, Yu Ren +13
Using paired UAV and satellite LiDAR, tree-density maps, and multiple biomass datasets across China's planted forests, this study shows aboveground biomass responds in a hump-shaped way to stand density. Matching density to local conditions…
Rogelio Omar Corona-Núñez, Rosa Isela Jasso-Flores, Francisco E. Ramas Arauz +3
Using 992 household surveys and 100-m machine learning models, this study estimates spatially disaggregated per capita carbon footprints for diet, housing, and transportation in the Mexico City Metropolitan Area. Mean footprints reach 10.1 …
Sadagat E. Ahmadova, Jeyhun Mahmudov, Rahibə ƏBDÜLHƏSƏNOVA +2
Using a 79-economy panel (1995–2022), this paper examines whether the carbon intensity of production relates to within-country income inequality. It finds that, conditional on income, higher per capita emissions are associated with lower me…
Elysse Prussing, Jenni Doust, Frances Guy +1
A retrospective Australian regional study compared carbon footprints of Midwifery Group Practice (MGP) versus standard medically led maternity care. MGP episodes averaged 52.87 kgCO2e versus 99.51 kgCO2e for standard care—roughly half. Find…
Haixuan Geng, Ling Xie, Yu Jiang +3
Using 2000-2025 land-use data, this study analyzes carbon-stock dynamics and drivers in South China's karst-coastal zones. Coupling PLUS and InVEST models, it simulates three land-management scenarios for 2030 and 2035. A steep-slope protec…
Sophia Aparecida Morro Chamilete, Matheus Deniz, A. L. M. Novo +4
This study integrates GHG emissions and removals into a farm-scale carbon balance for Brazilian tropical dairy systems, comparing high (HPS) and medium (MPS) production levels using IPCC and LEAP guidelines. HPS shows lower emission intensi…
Jia-Wei Yu, Zu-Heng Cheng, De-Xing An +3
Using land-use, socioeconomic, and MODIS NPP data, this study estimates China's land-use carbon emissions and sequestration for 2000–2021. Construction-land emissions rose 235% while forest sequestration grew 16.6%. A Gaussian Process Regre…
Xuechen Yang, Xiaojing Hu
This paper examines microbial carbon and its role in soil carbon sequestration. It links the global terrestrial carbon cycle to agricultural ecosystem management, discussing how microbial biomass and metabolites contribute to soil organic c…
Fei Chen, Shuo Zhang, Jiajun Chen +2
Integrating Landsat/Sentinel time series, random forest, LSTM–Land Change Modeler, and InVEST, this study reconstructs vegetation trajectories and a no-removal counterfactual after large-scale Spartina alterniflora removal in Yancheng, Chin…
Naima Iram, Kiah Eng Lim, Muhammad Ariq Khalingga +4
Soil organic carbon stocks and GHG fluxes were measured across six tropical intertidal seagrass meadows in Singapore. Top 0–25 cm stocks averaged 27.5 Mg C ha⁻¹ with high within-site variability unexplained by geomorphic setting. CO₂ flux d…
Haslinda Mohamad Hamran, Khamarrul Azahari Razak, Hsiao‐Wen Wang +8
Using hydrodynamic modelling under 5- to 100-year ARI scenarios on Penang Island, the study maps intensifying urban flood trends. It develops a community-led NbS retrofitting framework—bioswales, infiltration wells, and retention storage in…
Khushboo ., Sofia Arif, Naji Ullah +7
Agriculture contributes 21-37% of global GHG emissions while being highly climate-vulnerable. Reviewing 109 studies, this paper assesses nature-based solutions (NbS) such as conservation tillage and agroforestry, finding carbon sequestratio…
Xin Wang, Zimeng Luo, Yadong Yu +1
This study assesses the sustainability of China's nitrogen-phosphorus cycling system under future carbon-neutrality transition scenarios, linking agricultural nutrient flows with decarbonization pathways. It highlights how fertilizer and nu…
程晋, 李南青, Mengxiao Li +5
A 3-year field experiment in China tested how dry-season crops affect subsequent rice yield and GHG emissions. Wheat-rice rotation minimized GWP but also yield, while garlic- and rapeseed-rice raised yield at the cost of higher methane emis…
Zewei Jiang, Shihong Yang, Qingqing Pang +11
This paper examines how integrated water–carbon management reshapes the trade-offs among greenhouse gas emissions, productivity, and economic returns in rice systems. As rice cultivation is a major methane source, it offers empirical insigh…
Michael Ajanja Sakha, Harun Ireri Gitari, Sagar Maitra +3
This review synthesizes how specific soil physical, biological, and chemical properties drive agricultural GHG emissions. It shows that soil temperature, moisture, structure, pH, organic matter, CEC, and microbial processes interact to regu…
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