📄 earth science

Butterfly diversity is lower in historically redlined neighborhoods: evidence from 151 US cities

This study demonstrates that historically redlined neighborhoods across 151 US cities support significantly lower butterfly diversity than higher-graded areas, a disparity primarily driven by the lack of developed open space and high-intensity development in formerly redlined zones, suggesting that urban greening in these areas could simultaneously address biodiversity loss and environmental injustice.

Meghan Clark, Natasha Gownaris, Andrew M. Wilson2026-09-09
📄 earth science

Bayesian Bed-Load Transportation modelling (BBLT) method: a novel predictive approach to quantifying and managing bed load transportation and reservoir sedimentation

This study introduces a novel Bayesian probabilistic framework (BBLT) that integrates hydraulic forcing and sediment transport dynamics to quantify uncertainty and predict reservoir sedimentation under variable flow conditions in Mediterranean catchments.

José-Luis Molina, Maria Carmen Molina, Carmen Patino-Alonso, Fernando Espejo2026-09-09
📄 earth science

Benthic macrobenthos communities on the North-East Greenland Shelf are sparse but biodiverse and linked to the overlaying water mass

This study reveals that the North-East Greenland Shelf hosts sparse but highly diverse benthic macrofauna communities, which differ significantly from the West Greenland Shelf due to low organic input and are strongly influenced by overlaying water masses, including those of Atlantic origin.

Ben J. O. Robinson, Mikael K. Sejr, Jørgen L. S. Hansen2026-09-09
📄 earth science

Ground Truth of Surface Rupture and Near-Fault Strong Motion: Video, Seismic and Field

This paper presents the first directly validated observation of concurrent surface rupture and near-fault strong motion during the 2026 Kumamoto earthquake, utilizing security camera footage, seismic records, and field measurements to reveal that the ground motion consisted of two distinct velocity pulses generated by subsurface and surface fault ruptures.

Ryosuke Ando, Motomasa Murata2026-09-09
📄 earth science

Mitigation Benefits and Drivers of Compound Hot–Dry Events under the SSP2-com Scenario

This study demonstrates that while the policy-informed SSP2-com scenario only modestly reduces compound hot–dry event risks by mid-century, it significantly mitigates their frequency and cumulative intensity by late century through mechanisms that extend beyond simple warming reduction, highlighting the critical role of precipitation variability and heat–drought dependence in shaping future compound extreme risks.

Rongyun Pan, Tianjun Zhou, Jie Jiang, Kangnian Ren2026-09-09
📄 earth science

What changed, and what do people perceive to have changed? Land use transformations in peninsular Spain over the past 50 years

This study reveals a growing divergence between documented land-use transformations and public perceptions in peninsular Spain over the past 50 years, where highly visible changes like urbanization are recognized while significant shifts in agriculture and forestry are increasingly overlooked, highlighting the need to integrate social perceptions into land-management policies.

Bianca Molina-Alvarado, Roberto Pascual-Rico, Antonio J. Carpio, Alisa Aliaga-Samanez, Pelayo Acevedo2026-09-09
📄 earth science

Pyrite oxidation flux underestimated due to landscape-mediated microbial sulfate reduction

This study demonstrates that microbial sulfate reduction in terrestrial landscapes, particularly in low-erosion and low-precipitation environments like the Himalayas, systematically alters riverine sulfate isotopic signals, implying that global pyrite oxidation fluxes—and consequently CO2 emissions and O2 consumption—may be up to double previous isotope-based estimates.

Samyak Pradhan, Lena Bakker, Anna Somlyay, Negar Haighipour, Philip Gautschi, Marcus Christl, Cara Magnabosco, Indra Sen (…)2026-09-09
📄 earth science

Airbnb and Urban Renewal in Lisbon (2015–2019): Spatial Interactions Revealed by Network-Enhanced Kernel Density Modelling

This study employs a combined planar and network-based Kernel Density Estimation approach to analyze the spatial relationship between Airbnb listings and urban renewal in Lisbon (2015–2019), revealing that while both phenomena overlap in central areas, network-enhanced analysis uncovers critical street-level patterns essential for precise urban planning and regulation.

Ricardo Mendes Correia, Mario V. Balzan2026-09-09
📄 earth science

Monte Carlo Positive-Unlabeled Two-Step Learning for Landslide Susceptibility Mapping under Inventory Uncertainty: Comparison with Hard-Threshold PU Two-Step and EIV in Northern Morocco

This study introduces MC-PU-2S, a Monte Carlo-based Positive-Unlabeled two-step learning framework that outperforms deterministic EIV and hard-threshold PU methods in landslide susceptibility mapping for Northern Morocco by effectively propagating inventory uncertainty to generate better-calibrated predictions and essential uncertainty metrics.

El harit Abdessamad ADRI, SINAN Mohamed, FALLAHI Azzeddine2026-09-09