Assessment of climatic parameter variation and its impact on sustainable agriculture in Dir Upper Pakistan with mitigation and adaptation strategies. [PDF]
Khan R +9 more
europepmc +1 more source
ABSTRACT This paper investigates the impact of dust accumulation and temperature on the performance of monocrystalline and polycrystalline photovoltaic (PV) panels under the climatic conditions of Niamey, Niger, with a focus on seasonal variations. High‐resolution performance data were collected across the rainy, Harmattan, and hot seasons to evaluate ...
Falmata Abdoulaye Moussa +3 more
wiley +1 more source
Soil water-holding capacity does not mediate aridity effects on plant functional traits in Iberian dune ecosystems. [PDF]
Moreira X +8 more
europepmc +1 more source
Based on field outcrop data, core descriptions, comprehensive thin section data (plain, cast, and fluorescent), scanning electron microscopy, whole rock analysis via X‐ray diffraction, physical property tests, element logging, core recording, and oil pilot tests, we propose utilizing a mature and practical three component classification method for ...
Lin Xie +7 more
wiley +1 more source
Climate-Driven Futures of Olive (<i>Olea europaea</i> L.): Machine Learning-Based Ensemble Species Distribution Modelling of Northward Shifts Under Aridity Stress. [PDF]
Özdel MM, Ustaoğlu B, Cürebal İ.
europepmc +1 more source
Wind Resource Evaluation With Atmospheric Stability Across Different Surface Types
Wind resource evaluation with atmospheric stability across different surface types. ABSTRACT This study investigates the influence of atmospheric stability on wind resource assessment across various surface conditions, focusing on wind shear and prevailing wind direction as key analytical parameters.
Zejia Hua, Wei Tao, Guanjun Wang
wiley +1 more source
Sequential Thresholds Shape Drylands' Multitrophic Response to Aridification. [PDF]
Morant J +3 more
europepmc +1 more source
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker +4 more
wiley +1 more source
Global dataset for realized thermal and aridity niche limits for terrestrial vertebrates. [PDF]
Watson M, Kerr J.
europepmc +1 more source
Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
wiley +1 more source

