493 papers
ClimDiT is a novel generative framework based on latent diffusion transformers that overcomes the limitations of traditional regression-based downscaling by producing high-resolution, spatially coherent, and probabilistically calibrated multivariate climate projections for the Iberian Peninsula.
This study utilized CR-39 nuclear track detectors to measure radon concentrations in 29 fertilizer and pesticide samples, finding that while levels varied significantly, all results remained well below international safety limits, indicating no significant radiological risk under normal usage conditions.
This study utilizes structural physics simulations to demonstrate that the thickness and distribution of gypsum-salt layers, which transition from double to single salt zones, are the primary controlling factors determining the deformation styles (ranging from high-angle faults to imbricate structures) and trap evolution in the supra-salt strata of the Zhongqiu-Dongqiu area in the Kuqa Depression.
This study uses an integrated modeling framework to demonstrate that while sustainable irrigation can enhance agricultural adaptation under low warming by improving efficiency, intensifying climate change will shift irrigation toward dependency, ultimately revealing that water availability—not agronomy—defines the hard limits of this adaptation strategy by 2050.
This study evaluates the environmental performance and EU Taxonomy "Do No Significant Harm" (DNSH) compliance of three Italian wastewater treatment plants using Life Cycle Assessment, revealing that flow centralization and efficiency upgrades offer the most effective strategies for reducing impacts and ensuring economic viability, whereas biodrying may increase emissions despite minor benefits.
This paper develops a repository of 34 validated SDG-aligned indicators derived from 100 global city climate strategies to advocate for a dual monitoring framework that combines internationally comparable SDG metrics with locally tailored indicators, addressing current gaps in strategy comprehensiveness and the lack of science-backed benchmarks.
This scientometric study analyzes the evolution, collaboration networks, and thematic focus of research on vegetation indices, particularly NDVI, for environmental monitoring in the Brazilian Cerrado, revealing significant growth in output and identifying key trends to guide future conservation efforts.
This study demonstrates that a Landsat-based random forest model, trained with eddy covariance data, can effectively estimate daily gross primary production across diverse peatland management regimes in Germany, Estonia, and Finland, thereby enabling consistent large-scale monitoring of peatland productivity under varying climate and land-use conditions.
In 2025, Emilia-Romagna, northern Italy, recorded the unexpected expansion of *Culex perexiguus*, a mosquito typically associated with arid regions and capable of transmitting West Nile virus, likely driven by climate anomalies and habitat shifts that also coincided with a decline in *Culex modestus*, thereby highlighting the need for enhanced public health monitoring.
This study documents a severe, multi-species epizootic on Norfolk Island reefs characterized by acute white syndrome causing rapid colony mortality and oocyte resorption, highlighting the urgent need to integrate disease dynamics into coral reef management strategies.