2485 papers
This paper introduces ROUGE, a new socio-economic disaster impact database for the Global South that leverages Large Language Models to extract detailed, non-monetary data from International Federation of Red Cross and Red Crescent Societies reports, thereby addressing existing gaps in geographic coverage and data bias.
A two-year study across 16 Western European cities reveals that urban green space patchiness negatively impacts pollination effectiveness by reducing visitation rates of small wild bees, a keystone functional group, rather than by affecting the more abundant but less effective hoverflies.
By constructing an ENSO- and aerosol-adjusted satellite temperature record, this study reveals a statistically significant acceleration in lower-tropospheric warming rates after 2015—reaching up to 0.48 °C per decade—that suggests an ongoing increase in the underlying warming trend amplified by El Niño, potentially leading to an additional 0.5–1.0 °C of warming over the next decade.
This systematic review reveals that while agroforestry and agricultural carbon projects in developing countries consistently enhance livelihoods through income and food security gains, REDD+ conservation initiatives often impose significant opportunity costs without compensatory income, indicating that project success critically depends on secure land tenure, timely and differentiated benefit-sharing, and designs that prioritize income generation alongside carbon mitigation.
This study demonstrates that the Oxygen Minimum Zone in the Tropical Eastern Pacific acts as a critical environmental filter that reduces pelagic macrofaunal species richness and drives high spatial variation in community composition, suggesting that expanding hypoxia will significantly reshape biodiversity in these marine ecosystems.
This study reveals that global kilometer-scale models fail to realistically simulate mesoscale convective systems because they decouple storm organization from environmental conditions, leading to excessive storm initiation and rainfall that cannot be sustained, thereby undermining the reliability of future climate projections.
Using a comprehensive dataset of 42,605 finishers from 2002 to 2025, this study demonstrates that common analytical flaws and the strong correlation between race-day heat and the calendar year render heat effects on IRONMAN performance unidentifiable, leaving wind load as the only measurable environmental factor.
This study analyzes daily temperature data across 370 Chinese cities over the 25-year period from 2000 to 2024 using a city-specific fixed-threshold approach to reveal a significant, spatially heterogeneous increase in urban extreme heat risk, with the national mean risk rate in 2024 reaching approximately 2.4 times that of 2000; the relative-threshold approach produced a more even seasonal distribution of identified events and generally higher estimates of risk growth, while both approaches showed highly consistent trend directions.
This study demonstrates that the effectiveness of feature selection methods for predicting soil pH is highly dependent on the chosen machine learning algorithm, with the combination of XGBoost and simulated annealing (SA-FS1) emerging as the optimal strategy for balancing accuracy, stability, and transferability.
This study demonstrates that integrating Landsat-9 OLI and ASTER remote sensing data with advanced spectral analysis and SVM classification effectively maps ultramafic lithologies and assesses chromium prospectivity in the Tekirova–Kemer–Kumluca ophiolite complex of southern Türkiye, achieving high accuracy and strong correlation with field geochemical data.