1447 papers
This paper demonstrates that the number of clasts, rather than flow volume or grain size individually, is the fundamental quantity governing rock avalanche mobility by optimizing energy allocation toward translational motion and reducing dissipation.
This study develops a multiscale statistical framework to evaluate Earth-system variability across seven hierarchical recurrence domains, revealing a spectrum of preferred periodicities ranging from ~100 kyr to ~500 Myr that vary by dataset and timescale rather than adhering to a single universal geological clock.
This study introduces R-GeoXNet, a direction-aware relational graph neural network that integrates geochemical and structural data to effectively model anisotropic geological controls, achieving superior performance in regional polymetallic prospectivity mapping within the Lhasa-Woka area of Tibet compared to existing graph-based baselines.
This study combines bibliometric and systematic reviews of 2021–2026 research to map global trends in geospatial methods for land and water management, revealing a shift toward cloud-based platforms and machine learning while identifying critical gaps in real-time monitoring and policy integration to better support SDG 6 and SDG 15.
This study demonstrates that avian densities on the continental fragment islands of Mallorca and Menorca are significantly higher than on the nearby mainland, a phenomenon driven by species impoverishment and competitive release rather than high densities causing species loss.
This study demonstrates that spherical radial basis function inversion, when combined with a remove–restore strategy and optimized spectral domain selection, can reliably reconstruct gravity gradient fields from terrestrial gravity data by balancing signal recovery against noise amplification.
This study integrates the InVEST model and multiscale geographically weighted regression (MGWR) to analyze the spatiotemporal dynamics of water yield in the Liaodong Green Economic Zone from 2003 to 2023, revealing that landscape pattern evolution significantly influences water yield through spatially heterogeneous relationships where forest cover generally enhances yield while farmland expansion tends to reduce it.
This study develops a grid-based assessment framework that integrates ecosystem services with socioeconomic and ecological sustainability dimensions to prioritize forest management interventions across inhabited and uninhabited islands, demonstrating its application in South Korea to distinguish between restoration, improvement, and maintenance needs under data constraints.
This paper reports the discovery of a previously overlooked 2016 photographic record of a Cerulean Warbler in São Paulo, Brazil, which was identified through eBird review and represents the state's first documented occurrence as well as the earliest known photographic evidence of the species in the country.
This study demonstrates that incorporating seasonal greenhouse gas fluxes, particularly methane emissions driven by specific methanogenic archaea, is essential for accurately assessing the blue carbon potential of intertidal *Zostera noltii* seagrass meadows, as omitting these factors leads to overestimations of their carbon sequestration services.