📄 earth_science

Change in livelihoods among participating communities in carbon projects in developing countries between 2015 and 2026: a systematic review

This systematic review reveals that while agroforestry and agricultural carbon projects in developing countries consistently enhance livelihoods through income and food security gains, REDD+ conservation initiatives often impose significant opportunity costs without compensatory income, indicating that project success critically depends on secure land tenure, timely and differentiated benefit-sharing, and designs that prioritize income generation alongside carbon mitigation.

Ngenda Lubinda, Liberty Mweemba2026-07-15
📄 earth_science

Oxygen minimum zone as environmental filter of pelagic macrofaunal diversity in the Tropical Eastern Pacific

This study demonstrates that the Oxygen Minimum Zone in the Tropical Eastern Pacific acts as a critical environmental filter that reduces pelagic macrofaunal species richness and drives high spatial variation in community composition, suggesting that expanding hypoxia will significantly reshape biodiversity in these marine ecosystems.

Ramón Isaac Rojas-González, Isaac E. Diaz-Ortega, Juan Roberto F. Vallarta-Zárate, Mario Vásquez-Ortiz, Daniel Hernández (…)2026-07-15
📄 earth_science

Heat, wind, and the calendar: why a warming climate makes its performance effects unidentifiable at the IRONMAN World Championship

Using a comprehensive dataset of 42,605 finishers from 2002 to 2025, this study demonstrates that common analytical flaws and the strong correlation between race-day heat and the calendar year render heat effects on IRONMAN performance unidentifiable, leaving wind load as the only measurable environmental factor.

Andreas Will¹, Romuald Lepers², Beat Knechtle³2026-07-14
📄 earth_science

Urban extreme heat risk in China, 2000–2024: identification with historical city-specific thresholds and trend analysis

This study analyzes daily temperature data across 370 Chinese cities over the 25-year period from 2000 to 2024 using a city-specific fixed-threshold approach to reveal a significant, spatially heterogeneous increase in urban extreme heat risk, with the national mean risk rate in 2024 reaching approximately 2.4 times that of 2000; the relative-threshold approach produced a more even seasonal distribution of identified events and generally higher estimates of risk growth, while both approaches showed highly consistent trend directions.

Huang Yidi, Zhan Zhili2026-07-14
📄 earth_science

Comparative Assessment of Feature Selection Methods for Machine Learning-Based Soil pH Prediction

This study demonstrates that the effectiveness of feature selection methods for predicting soil pH is highly dependent on the chosen machine learning algorithm, with the combination of XGBoost and simulated annealing (SA-FS1) emerging as the optimal strategy for balancing accuracy, stability, and transferability.

Mir Nasser Navidi, Shahrokh Fatehi, Ayeh Lotfollahi, Ahmad Aliyari Boroujeni2026-07-14
📄 earth_science

Evaluation of ASTER and Landsat-9 OLI remote sensing data for ophiolite mapping and preliminary chromium prospectivity assessment in the Tekirova–Kemer– Kumluca region, southern Türkiye

This study demonstrates that integrating Landsat-9 OLI and ASTER remote sensing data with advanced spectral analysis and SVM classification effectively maps ultramafic lithologies and assesses chromium prospectivity in the Tekirova–Kemer–Kumluca ophiolite complex of southern Türkiye, achieving high accuracy and strong correlation with field geochemical data.

Mamadou Traore, Sezer UNAL, Ulaş Inan SEVIMLI, Mustafa Gurhan YALCIN, Jonas Didero TAKODJOU WAMBO, Ozgur AKTURK2026-07-14
📄 earth_science

Integrating Open-Source Earth Observation, RUSLE and Explainable Machine Learning to Map and Interpret Soil Erosion in the Thoubal River Basin, Manipur, Northeast India

This study integrates open-source Earth observation data with the Revised Universal Soil Loss Equation (RUSLE) and explainable machine learning to map and interpret soil erosion dynamics in the Thoubal River Basin, revealing a significant decline in mean soil loss driven by forest expansion while identifying critical conservation hotspots through a transparent, reproducible framework.

Md Shujat Mehdi2026-07-14
📄 earth_science

Long‑Term Drought Dynamics and Multi‑Index Evaluation in the Aleppo Region, Northern Syria (1984–2024)

This study analyzes 41 years of climatic and environmental data in northern Syria's Aleppo region to reveal a post-2000 shift from rainfall-driven to temperature-amplified droughts, demonstrating that a multi-index approach is essential for understanding the increasing complexity and persistence of drought conditions to inform future water management and agricultural adaptation strategies.

ola mossa2026-07-14