2485 papers
This study utilizes pyrolysis gas chromatography tandem mass spectrometry to reveal that nano- and microplastics are pervasive in the muscle tissue of pelagic predators like dolphinfish and yellowfin tuna across global oceans, with contamination levels and polymer compositions reflecting geographic origins and plastic emissions rather than trophic position.
This mixed-methods study of post-conflict Monrovia (2020–2024) reveals that while International Non-Governmental Organization activities significantly drive environmental reconstruction outcomes—particularly through community education and rehabilitation programs—they struggle to effect structural behavioral changes like waste management, highlighting the need for long-term investment frameworks to sustain recovery.
This study applies the Hydrologic Landscapes classification method to the PCJ River Basins in southeastern Brazil, demonstrating that integrating relief, soil, aquifer, and climate data via GIS effectively identifies specific regions capable of simultaneously maximizing water yield and storage to guide sustainable water management in water-scarce areas.
This study evaluates Egypt's protected-area network from 1983 to 2022, revealing that while the total area has expanded significantly, the system remains highly unequal and fragmented with a coastal sub-network that is underrepresented and vulnerable to Lessepsian bioinvasion, necessitating a strategic shift from mere area accumulation toward improving connectivity, representativeness, and management effectiveness to meet the Kunming–Montreal Global Biodiversity Framework's 30×30 target.
This study proposes a behavior-day monitoring framework that aligns nocturnal heat exposure (defined as UTCI ≥ 28°C from 20:00 to 05:59) with next-day active mobility, demonstrating that while this metric captures high-heat-tail information, its effect is not independent of broader daytime heat patterns.
This study utilizes strong motion data from 143 Japanese earthquakes (2010–2024) to establish empirical relationships between various P-wave parameters and earthquake magnitude, demonstrating that a 5-second analysis window combined with multiple parameters significantly enhances the reliability of magnitude estimation for Earthquake Early Warning systems.
This study demonstrates that the invasion of *Ligustrum lucidum* in subtropical mountain forests significantly alters chemical and physical soil properties, including nutrient availability and bulk density, throughout the entire soil profile down to 50 cm depth, thereby creating a distinct belowground environment with potential consequences for ecosystem functioning and native vegetation recovery.
This paper introduces GeoExtractor, a large language model-powered multi-agent framework that employs a hierarchical extraction strategy to automatically convert unstructured geoscientific literature into structured data, significantly outperforming existing methods and successfully reconstructing known tectonic patterns from a compiled database of zircon analyses.
This study reveals that a marine heatwave-induced shallow mixed layer and enhanced stratification during Tropical Cyclone Winston (2016) facilitated the accumulation of subsurface heat, which was subsequently entrained by storm-induced mixing to sustain elevated energy fluxes and drive the cyclone's rapid intensification.
By applying a four-dimensional event-tracking framework to global ocean reanalysis data, this study characterizes the vertical structure and evolution of over 500 large-scale subsurface marine heatwaves, revealing seven distinct types driven by the interplay between large-scale climate variability (such as ENSO) and local ocean stratification.