2385 papers
The paper introduces "Skittles," a high-throughput, multicolor flow cytometric workflow that enables precise, standardized, and quantitative characterization of micro- and nano-plastics in liquid suspensions, offering fluorescence-based discrimination, enumeration, and size distribution analysis validated against microscopy and Raman spectroscopy.
This study reveals significant spatial heterogeneity and localized hotspots of phthalate contamination in the soil and water of Ibeju-Lekki, Lagos, driven by nearby petroleum infrastructure, with specific sites like SS9A and UW17A exhibiting extreme pollution levels that necessitate urgent monitoring and source control.
This study challenges the traditional assumption that upland terrestrial soils are consistent atmospheric methane sinks by demonstrating, through ecosystem-scale measurements across North America, that most upland sites actually function as net methane sources, revealing a critical scale-inference error in current global methane budget estimates.
This study of Sri Lankan cascade reservoir landscapes reveals that while soil carbon stocks increase significantly from forests to wetlands along hydrological gradients, the connecting ecotones exhibit a consistent 32–35% carbon deficit relative to expected mixing models, highlighting their structural vulnerability and the critical role of wetlands as terminal carbon sinks.
This study analyzes the spatiotemporal evolution of carbon storage in China's Pearl River Delta from 2000 to 2023 using the InVEST, GTWR, and XGBoost-SHAP models to reveal a shift from terrain-dominated to human-disturbance-driven dynamics, identifying vegetation as the primary stabilizing factor and providing targeted strategies for carbon sink conservation and urban development control.
This paper presents a non-ergodic ground-motion model for the Czech Republic that utilizes regional data to derive site- and path-specific terms, significantly reducing aleatory variability and altering seismic hazard estimates compared to traditional ergodic models.
This study utilizes the Google Earth Engine platform to implement the RUSLE model with multi-temporal data, revealing that topography and changing land cover are the primary drivers of significant soil erosion in Imo State, Nigeria, with Oguta and Ohaji/Egbema identified as critical hotspots requiring targeted conservation planning.
This study demonstrates that adding relative sunshine duration to a temperature and humidity-based model significantly improves the accuracy and reduces the systematic bias of monthly mean daily global solar radiation estimates for Tébessa, Algeria, despite the predictors' high collinearity at the monthly scale.
This study reveals that increasing sand fixation drives *Agriophyllum squarrosum* to shift its root system from deep, coarse structures to shallow, complex ones, a transformation primarily mediated by improvements in soil moisture, nutrient availability, and physical structure.
This study demonstrates that for downscaling WaPOR evapotranspiration data from 300 m to 20 m across African irrigation sites, direct deep-learning super-resolution models significantly outperform physics-informed networks in accuracy, suggesting that enforcing hard mass-conservation constraints improves consistency but not predictive performance.