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 1101–1120 of 1268 papers
Yiwen Wang, Xiyu Guo, Hui Zhu +1
This study used a decision tree method to map mangroves in Hainan Bamen Bay with high accuracy, analyzing spatiotemporal dynamics and carbon storage from 2000 to 2020. Results show significant mangrove expansion and increased carbon storage…
Aziz Khan, Hadeel Bin Amer, Thabet Abdeljawad +1
A nonlinear discrete mathematical model with neural networks analyzes how plant CO2 absorption capacities affect atmospheric CO2 levels. Using DNIM-LM algorithm, the study shows that higher absorption capacity leads to faster CO2 reduction,…
Ebenezer Appiah, Na Song, Isaac Appiah-Otoo +3
This paper uses machine learning to analyze economic determinants of Africa's carbon emissions, forecasts future trends, and proposes a roadmap toward carbon neutrality. It models Africa's unique economic structures and emission patterns.
Zhanhang Zhou, Keke Li, Chen Zeng +8
This study uses a spatial optimization model to analyze crop switching in China for synergizing climate adaptation and mitigation. Results show adaptation strategies increase production but raise GHG emissions, while mitigation strategies r…
Zhenggui Zhang, Weibin Huang, Jian Wang +10
This study evaluates the effects of planting green manure on soil greenhouse gas emissions and carbon/nitrogen pools through a three-year maize field experiment and meta-analysis. Results indicate that green manure can enhance soil carbon s…
Tianzhi Huang, Li Ma, Xuemei Wang +3
This study prioritizes ecological restoration pathways for carbon neutrality and land degradation neutrality in China's degraded landscapes. Using a fuzzy MCDM framework, it identifies precipitation, soil moisture, soil organic carbon, and …
Alessia Bono, Benjamin James Henley, Alan Crivellaro +3
Analyzing 100 years of tree-ring data from King Billy pines in Tasmania, this study finds a decline in wood density from 0.418 to 0.343 g/cm³, resulting in a 10% reduction in carbon accumulation. It suggests that climate change may limit fo…
XU Xiaona, ZHANG Huayong, ZHANG Huayong
This study analyzes the spatiotemporal dynamics of net ecosystem productivity (NEP) in Horqin Sandy Land, China, from 2000 to 2020, and investigates the driving mechanisms under combined anthropogenic and environmental pressures. The findin…
Pengtao Liu, Han Fang, Kang Xueer +1
This study analyzes spatiotemporal changes in dryness-wetness boundaries in the Otindag Sandy Land (China) from 1961-2023 using meteorological data. Results show a significant drying trend, with the dry-wet boundary shifting southeastward, …
Hao Tan, Lin Haixia, Ke-Fan Yi +7
Using the China Meteorological Forcing Dataset, this study analyzes crop heat stress in Xinjiang with three indicators: Accumulated Heat Stress Days (AHSD), Heat Stress Intensity (HSI), and Heat Degree Days (HDD). Mann-Kendall trend test, S…
LIU Yuhan, ZHAO Yuanyuan, GAO Guanglei +3
This study analyzes the spatiotemporal patterns and driving forces of dust weather events in five Central Asian countries from 2000 to 2020 using meteorological observations. The results show that dust events are concentrated in spring and …
Jintao Gao, Chong Zhang, Jing Jing +2
This study analyzes vegetation growth dynamics in the Qinling-Daba Mountains, a climate transition zone in China, using MODIS data and climate factors from 2001-2023. It applies multiple linear regression to predict NDVI under future climat…
Zulfira RAKHMANKULOVA, Elena SHUYSKAYA, Maria PROKOFIEVA +4
This study examines the effects of drought and elevated temperature on C3 and C4 halophytes in Amaranthaceae. It analyzes morphophysiological, biochemical, and molecular-genetic mechanisms of tolerance, highlighting their potential for rest…
GAN Guojing, WU Jinglu, YANG Ruibiao +3
This study integrates satellite data and a degree-day model to reconstruct decadal snow and ice dynamics in the Balkhash Lake Basin from 1950 to 2014, assessing hydrological impacts under climate change. Results highlight the critical role …
Cao Xiaoyun, Zhou Bingrong, Lei Chunmiao +3
This study analyzes spatiotemporal variations of snow depth in the Sanjiangyuan region from 1980 to 2020 using remote sensing data, attributing changes to climate factors. It reveals elevation-dependent and regional differences in snow dept…
HU Mengjun, XU Aokang, HU Mengjun
This study reconstructs environmental evolution since the Last Glacial Interstadial using aeolian sediments from eastern Qinghai Lake, China. By analyzing grain size, chroma, and magnetic susceptibility, it reveals a synergistic trade-off b…
Assessing future drought evolution and driving mechanisms in the Weigan River Basin under CMIP6 climate scenarios Abstract: Drought is one of the most severe natural disasters affecting the sustainable development of the ecological environment and socio-economics in the Weigan River Basin. Based...
WANG Wenbo, LIN Li, CHEN Dandan +2
This study assesses future drought evolution in the Weigan River Basin, China, using the Standardized Moisture Anomaly Index (SZI) based on CMIP6 multi-model simulations. It analyzes changes in drought frequency and intensity under future c…
Spatio-temporal Evolution Analysis of Tourism Climate Comfort in Xinjiang, China and the Five Central Asian Countries under the Context of Climate Change (Postprint)
Guan Jingyun, Sun Zhiyang, Xu Xiaoliang +3
This study analyzes spatiotemporal changes in the Holiday Climate Index (HCI) for Xinjiang and five Central Asian countries from 1960 to 2100 using high-resolution meteorological data and CMIP6 models, assessing future risks to tourism clim…
Precipitation or temperature? Nonlinear responses of particulate matter and ozone to meteorological extremes in an arid climate Postprint
LI Yalong, HU Bing, Marie Anne Eurie FORIO +10
Analyzing 2000-2023 data from arid northern Xinjiang, China, this study examines how temperature and precipitation extremes affect PM2.5, PM10, and ozone. Rising temperatures reduce PM but increase ozone, while precipitation generally suppr…
Zi-Liang Li
This paper proposes a physics-guided multimodal prediction model for tropical cyclones in the western North Pacific, incorporating target-specific predictor hierarchies and a target-conditioned transformer to improve forecast accuracy.
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