Results 301 to 310 of about 10,876,993 (375)

Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation. [PDF]

Sensors (Basel)
Baseca CC, Dionísio R, Ribeiro F, Metrôlho J.   +3 more
europepmc   +1 more source

Soil Properties and Plant Species Identity Independently Influence Arbuscular Mycorrhizal Fungal Composition Across Lowland Tropical Forests

Biotropica, Volume 58, Issue 2, March 2026.
We found that plant species identity and soil properties, especially soil phosphorus availability, independently structured arbuscular mycorrhizal fungal (AMF) community composition in tropical forests across central Panama. We also found that soil nutrient availability may mediate the interaction networks between plants and AMF. ABSTRACT Plant species
Mareli Sánchez‐Juliá, Blaine D. Martin, Iker R. Yturralde, Sunshine A. Van Bael   +3 more
wiley   +1 more source

Extreme dry-hot in North America and Europe: the amplified role of warming-enhanced land-air coupling. [PDF]

Natl Sci Rev
Qiao L, Zuo Z, Zhang R, Mei W, Chen D, Chang M, Zhang K.   +6 more
europepmc   +1 more source

Above and Belowground Plasticity Traits Allow Safflower (Carthamus tinctorius L.) Cultivation Under Low‐Input Water Management in Three Mediterranean Environments

Journal of Agronomy and Crop Science, Volume 212, Issue 2, March 2026.
ABSTRACT Biofuels can play an important role to reduce fossil fuels consumption and decrease carbon dioxide emissions. However, current biofuels derived from food crops can exacerbate food security concerns due to their competition for cropland and resources.
Claudio Russo, Valerio Cirillo, Nausicaa Pollaro, Andrea Chiodini, Fabio Terribile, Albino Maggio   +5 more
wiley   +1 more source

Quantifying the impacts of rainfall and evaporation on Lake Bonneville. [PDF]

Sci Adv
Mering J, Arnold AJ, Chari L, Lee HI, Lerback J, Ajoku O, Ibarra DE, Nelson S, Farnsworth A, Valdes P, Tripati A.   +10 more
europepmc   +1 more source

Geospatial Analysis of Population Exposure to Flooding in the Sudd Region, South Sudan

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT The Sudd wetland in South Sudan extends over 90,000 km2. Large‐scale flood events in recent years (2019–2022) are said to have led to the displacement of an estimated 1.8 million people in total. However, these estimates are approximate and to date there has not been a systematic analysis of population exposure to flooding in the Sudd region ...
Deng Majok Chol, Jim W. Hall, Kevin G. Wheeler, Mark Bernhofen, Courtney A. Di Vittorio, Kenneth M. Strzepek   +5 more
wiley   +1 more source

Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia. [PDF]

Sci Data
Saha A, Jain MK, Joshi P, Das S, Rawat NS.   +4 more
europepmc   +1 more source

Optimizing Flood Hazard Zonation and Planning Landscape‐Based Mitigation Measures in Gimba Sub Watersheds, Northeastern Ethiopia: A Comprehensive Approach

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flooding remains one of the most critical natural hazards threatening livelihoods, infrastructure, and ecological systems in Ethiopia's highland landscapes. This study presents a rigorously integrated, multi‐criteria flood risk assessment that combines the Analytical Hierarchy Process (AHP) with GIS‐based spatial modeling to delineate ...
Degfie Teku, Tesfaldet Sisay, Alemnew Ali, Amanuel Ayalew   +3 more
wiley   +1 more source

Ecological study of human brucellosis in Iran from 2000 to 2023 and the limited role of climatic factors. [PDF]

Sci Rep
Hamyali-Ainvand M, Eilami O, Soltani A, Azizi K.   +3 more
europepmc   +1 more source

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP‐Based Comparative Study

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang, Yong Lei, Guoru Huang, Zhaoyang Zeng, Long Qi, Wenjie Chen   +5 more
wiley   +1 more source