📄 earth science

Integrating Explainable Machine Learning, Extreme Value Analysis, and CMIP6 Projections for Extreme Precipitation Prediction in the Eastern Mediterranean Coastal Region of Türkiye

This study integrates explainable machine learning, extreme value analysis, and CMIP6 projections to reveal a post-2020 precipitation regime shift in Türkiye's eastern Mediterranean coast, identifying near-surface humidity as the dominant driver of extremes while projecting a future of fewer but potentially more intense events under climate change scenarios.

Fatma Deniz Cüvitoğlu, Ali Cüvitoğlu2026-06-24
📄 earth science

Impact of multi-species mixtures and soil type on soil functioning in sown grasslands: a mesocosm experiment

This mesocosm study demonstrates that sowing multi-species grass mixtures, compared to monocultures, consistently enhances belowground soil functioning by increasing biomass production, microbial catabolic diversity, and greenhouse gas emissions across different soil types and management regimes.

Robin Tersago, Jeroen Meermans, Camille Van Eupen, Jan Willem van Groenigen, Ben Aernouts, Ellen Desie, Karen Vancampenh (…)2026-06-24
📄 earth science

Socio-ecological Adaptation and Resilience among Riverbank Erosion Affected Charland Dwellers in Bangladesh

This study reveals that while charland dwellers in Bangladesh exhibit remarkable social and psychological resilience through indigenous practices like mutual aid and adaptive housing, their survival remains constrained by a lack of institutional support and policy integration, necessitating a shift from reactive coping to sustainable, systemic resilience.

Tulika Podder2026-06-24
📄 earth science

GMIA-NEXT: Next-Generation Global Map of Irrigated Areas

This paper presents GMIA-NEXT, a robust, 30-meter resolution global irrigated area dataset for the 2023/24 growing season developed by integrating multi-source Earth observation data with machine learning and a newly compiled ground-truth database to overcome the limitations of existing coarse or untimely irrigation maps.

Endalkachew Abebe Kebede, Yanhua Xie, Gabriel Laboy, Kevin Bhimani, Anna Boser, Anton Urfels, Bhoktear Khan, Matthew Ade (…)2026-06-24
📄 earth science

Monitoring Forest Landscape Restoration Success Using Sentinel-2 NDVI and Field Measurements in Timor-Leste

This study demonstrates that integrating Sentinel-2 NDVI data with field measurements effectively quantifies the successful vegetation recovery of a 148-hectare Forest Landscape Restoration site in Timor-Leste, providing a scalable framework for monitoring restoration outcomes in tropical drylands.

Albino da Silva Barbosa, Adalfredo do Rosario Ferreira, José Ronaldo Oqui Ronaldo Oqui Fernandes, Bartolomeu de Jesus So (…)2026-06-24
📄 earth science

Seismic Compression-Quiescence Anomalies as Earthquake Precursors: Prospective Prediction for the Kashmir Himalayan Fault Belt and Validation Across Four Tectonic Regimes

This paper introduces the Magnitude Compression Index (C) as a precursor to earthquakes, demonstrating its effectiveness in validating signals across four tectonic regimes and identifying imminent M 5.0–6.0 seismic risks in three specific zones of the Kashmir Himalayan Fault Belt, where a predicted event was subsequently confirmed.

Ramakrishna Pasupuleti2026-06-24
📄 earth science

Enchytraeids drive horizontal redistribution of small microplastics in soils

This study demonstrates that enchytraeids, a type of soil mesofauna, significantly drive the horizontal redistribution of small microplastics away from contamination hotspots, revealing a previously overlooked pathway that complements the known vertical transport mediated by earthworms.

Yin Liu, Patria Novita Kusumawardani, Shen Sesselle, Steven Sleutel, Richard Hoogenboom, Andre Skirtach, Stefaan De Neve (…)2026-06-24
📄 earth science

Factors influencing soil organic odor contamination in Chinese chemical pesticide brownfield sites: A meta-analysis

This meta-analysis identifies key factors influencing soil organic odor contamination in Chinese chemical pesticide brownfield sites, revealing that production zones exhibit the highest pollution levels while concentrations are negatively correlated with temperature and soil depth but positively correlated with production duration and pesticide variety diversity.

Fangyu Zhang, Shuguang Wang, Zhongjun Xu, Aijun Lin2026-06-24