493 papers
This study reveals a pronounced hemispheric asymmetry in polar ocean carbon regulation, demonstrating that the Southern Ocean is primarily driven by biological and wind-induced processes while the Arctic is dominated by thermodynamic and freshwater stratification, resulting in opposing long-term trends in surface pCO₂.
This study proposes the Jointly Distributed Random Variables (JDRV) method as a computationally efficient and accurate analytical solution for the seismic reliability analysis of triangular rock wedge slopes, demonstrating that treating all geotechnical and geometric parameters as stochastic variables yields more conservative failure probabilities and identifying the sliding surface friction angle as the most critical sensitivity factor.
This study reveals that the greenhouse gas emissions from manufacturing AI hardware can rival or even exceed those from AI data center operations, highlighting the critical need to account for hardware production and corporate decarbonization efforts when assessing AI's total climate footprint.
Using the LandscapeDNDC model, this study reveals that the 2018 drought caused a significant, persistent reduction in Germany's forest carbon sink strength with spatially heterogeneous impacts, while also demonstrating that uncertainties in climate forcing data (specifically between E-OBS and ERA5) critically alter simulated carbon flux estimates by influencing evaporation, transpiration, and respiration rates.
This study integrates explainable machine learning, extreme value analysis, and CMIP6 projections to reveal a post-2020 precipitation regime shift in Türkiye's eastern Mediterranean coast, identifying near-surface humidity as the dominant driver of extremes while projecting a future of fewer but potentially more intense events under climate change scenarios.
This mesocosm study demonstrates that sowing multi-species grass mixtures, compared to monocultures, consistently enhances belowground soil functioning by increasing biomass production, microbial catabolic diversity, and greenhouse gas emissions across different soil types and management regimes.
This study reveals that while charland dwellers in Bangladesh exhibit remarkable social and psychological resilience through indigenous practices like mutual aid and adaptive housing, their survival remains constrained by a lack of institutional support and policy integration, necessitating a shift from reactive coping to sustainable, systemic resilience.
This paper presents GMIA-NEXT, a robust, 30-meter resolution global irrigated area dataset for the 2023/24 growing season developed by integrating multi-source Earth observation data with machine learning and a newly compiled ground-truth database to overcome the limitations of existing coarse or untimely irrigation maps.
This study demonstrates that integrating Sentinel-2 NDVI data with field measurements effectively quantifies the successful vegetation recovery of a 148-hectare Forest Landscape Restoration site in Timor-Leste, providing a scalable framework for monitoring restoration outcomes in tropical drylands.
This paper introduces the Magnitude Compression Index (C) as a precursor to earthquakes, demonstrating its effectiveness in validating signals across four tectonic regimes and identifying imminent M 5.0–6.0 seismic risks in three specific zones of the Kashmir Himalayan Fault Belt, where a predicted event was subsequently confirmed.