2353 papers
Using six months of GOES-19 Geostationary Lightning Mapper data, this study reveals that isolated wind farms systematically enhance mesoscale lightning density by 20–55% within approximately 10 km and maintain elevated levels up to 80 km compared to matched turbine-free control regions.
This study documents the floristic composition and structural dynamics of a floodplain forest in Arapixuna, Pará, revealing a 72% mortality rate in the natural woody regenerative stratum over three years while highlighting the ecological resilience of key species like *Schizolobium amazonicum* to water stress.
This study demonstrates that explicitly incorporating geological prior information into diffusion-based probabilistic gravity inversion significantly improves reconstruction accuracy and structural fidelity, though the optimal prior choice depends on whether the goal is minimizing error or preserving geological structure.
This study presents a participatory ecological monitoring framework for kelp ecosystems in southern Chile that integrates scientific surveys, landing records, and stakeholder knowledge to establish operational indicators and management thresholds for adaptive governance in a multiple-use marine protected area.
This study developed a dynamic geospatial framework using Random Forest machine learning and Sentinel-1 imagery to map flood susceptibility and exposure in Trujillo, Peru, demonstrating that the model effectively identifies priority areas under varying El Niño precipitation conditions without requiring retraining.
Using historically-calibrated ice sheet projections, this study reveals that Antarctic meltwater induces only weak global climate responses when released in a warming future climate, contrasting sharply with the strong impacts seen in earlier studies that assumed unrealistic pre-industrial or high-end release rates, thereby highlighting that the climatic effects of meltwater are highly sensitive to the timing of its release relative to Southern Ocean precipitation changes.
This study utilizes the Statistical DownScaling Model under various emission scenarios to project that the Jerash region of Jordan will experience significant temperature increases, substantial precipitation declines, and up to a 60% reduction in groundwater recharge by 2100, underscoring the urgent need for adaptive water management strategies in this semi-arid area.
This interlaboratory study demonstrates that a harmonized extraction protocol for microplastics in compost is feasible and effective across diverse analytical techniques, while identifying that variability in quantification stems primarily from subsampling and analysis methods rather than the extraction process itself, thereby providing critical insights for the development of ISO standard 24899.
The paper reveals that the rapid post-2005 decline in global aerosol emissions, particularly sulphur, has significantly accelerated near-term warming by approximately 0.14°C, potentially causing the world to reach 1.5°C and 2°C thresholds years earlier and necessitating steeper greenhouse gas reductions to meet climate goals.
This study demonstrates that intensifying pasture management across 13 million hectares of the Brazilian Cerrado could meet projected 2030 demands for soybean and livestock production without deforestation, simultaneously freeing land for native vegetation regeneration and increasing regional carbon stocks by up to 0.47 Pg by 2050.