2416 papers
This study reveals that while direct watershed burning of North American lakes has remained stable since 2008, atmospheric smoke exposure has surged dramatically, becoming the dominant and increasingly persistent pathway through which intensifying wildfires impact inland aquatic ecosystems.
This study utilizes Sentinel-2 data to analyze spatiotemporal variations in burn severity and vegetation health in Amritsar District from 2021 to 2024, revealing significant interannual differences in fire impact and a strong correlation between burn severity and vegetation degradation to inform future mitigation strategies.
This study demonstrates that deep learning models, specifically convolutional neural networks, can accurately classify smectite content ranges in hyperspectral VNIR data by leveraging spectral features in the 760–950 nm range, with the findings indicating that geological origin exerts a greater influence on spectral signatures than lithology, thereby offering significant potential for applications in geotechnical engineering, resource exploration, and waste storage site selection.
This study evaluates the coupling between rural economic development and the ecological environment in Yunnan Province through an industrial agglomeration lens, revealing a high level of coordinated synergy in 2022 and offering a scientific basis for promoting sustainable, industrial-driven revitalization in border ethnic regions.
This study demonstrates that sustained warming disrupts *Bombus impatiens* colony organization and brood care while increasing nectar rewards and visitation rates, ultimately decoupling pollinator activity from zucchini fruit set due to non-linear physiological costs and plant-mediated responses.
This study demonstrates that drainage anti-sliding piles (DASP) are significantly more effective than conventional piles in mitigating rainfall-induced loess landslide hazards by combining mechanical resistance with pore-pressure reduction to prevent large-scale source formation and drastically reduce run-out volume.
This study introduces and evaluates a new turbulence-based surface-layer parameterization (ESTAR) for the WRF model that replaces traditional Monin–Obukhov similarity functions with a dynamic 3D turbulence velocity scale, demonstrating that this approach reduces wind-speed biases, modulates surface energy fluxes, and improves precipitation patterns by allowing surface–atmosphere exchange to emerge naturally from the evolving boundary-layer state.
Shortening fire-return intervals in southeastern Australian dry forests drive a shift to alternative vegetation states that exhibit higher fuel hazard scores and flame heights but lower surface fuel flammability and reduced spotting potential compared to reference states.
This study systematically evaluates five convection-permitting ERA5 dynamical downscaling products over Italy, revealing that while most capture observed warming patterns, they often misrepresent precipitation trends and exhibit varying temporal consistency influenced by modeling choices and observational nudging, ultimately demonstrating the value of multi-model ensembles for robust climate trend estimation.
This paper proposes a comprehensive, stepwise methodology tailored to temperate climates to reveal that while Denmark's overall climate is projected to become wetter by the end of the 21st century, extreme summer meteorological droughts and specific hydrological droughts will concurrently increase in frequency and intensity due to shifting precipitation patterns and evapotranspiration.