Results 191 to 200 of about 5,668 (262)

Regulated deficit irrigation exhibits limited effects on soil health and microbial communities in processing tomatoes

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Regulated deficit irrigation (RDI) has been increasingly adopted in California processing tomato (Solanum lycopersicum L.) systems as a strategy to reduce agricultural water use in water‐limited regions. While late‐season RDI can achieve substantial water savings with minimal yield penalties, its implications for soil health and microbial ...
Kelsey Fenn, Courtney Emerson, Logan Ebert, Noelymar Gonzalez‐Maldonado, Erika Yao, Radomir Schmidt, Tom Turini, Kate Scow, Cristina Lazcano, Mallika Nocco   +9 more
wiley   +1 more source

Fecal degradation and nutrient loss of manure from cattle offered four bermudagrass cultivars

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Bermudagrass (Cynodon spp.) is one of the most common warm‐season perennial grasses utilized in the southeastern United States for pasture or stored forage. However, there is a paucity of data evaluating the fecal nutrient losses overtime by cattle grazing different bermudagrass cultivars.
Justin C. Burt, Abbigail R. Hines, Katie Davis, S. Leanne Dillard, W. Brandon Smith   +4 more
wiley   +1 more source

Urban emissions and expansion intensify extreme precipitation and flood susceptibility in Texas. [PDF]

NPJ Nat Hazards
Moraglia G, Aboelnour M, Crippa P.
europepmc   +1 more source

Prediction of cereal rye biomass accumulation in Wisconsin based on weather and agronomic management

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Abstract Cereal rye (Secale cereale L.) biomass accumulation is strongly influenced by weather conditions and management practices, making accurate biomass estimates critical for guiding farmers’ management decisions. In this study, we evaluated how weather (e.g., temperature and rainfall) and management practices (including planting and termination ...
Fabiano Colet, Benjamin Bradford, Spyridon Mourtzinis, Tatiane Severo Silva, Damon L. Smith, Guilherme Chudzik, Mark A. Kendall, Matthew D. Ruark, Anastasia Kurth, Jose J. Nunes, Daniel H. Smith, Rodrigo Werle, Shawn P. Conley   +12 more
wiley   +1 more source

Modelling and simulation of smart city drainage system based on digital twin five-dimensional models. [PDF]

PLoS One
Zhao Y, Yang M.
europepmc   +1 more source

Climate Resilience and Environmental Sustainability of Healthcare Facilities in a Rural District of Pakistan: A Mixed‐Methods Assessment Using the WHO Framework

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
A mixed‐methods WHO CRES‐HCF assessment of 12 rural healthcare facilities in Matiari, Pakistan, found only medium climate preparedness (33%–67%), with WASH (41%), workforce (37%), and infrastructure (48%) domains weakest, and energy highest (51%). Environmental built‐form analysis identified poor ventilation, excessive solar heat exposure, insufficient
Humaira Nazir, Lala‐Rukh Matties, Jai K. Das, Zulfiqar A. Bhutta   +3 more
wiley   +1 more source

Unified multi-task learning for hydrological processes using a shared transformer framework. [PDF]

Sci Rep
Demiray BZ, Demir I.
europepmc   +1 more source

Selected Physical and Geotechnical Properties of Loess in Wairarapa Valley, New Zealand

New Zealand Journal of Geology and Geophysics, Volume 69, Issue 4, December 2026.
Loess up to 10 m thick covers marine terraces, old river aggradation terraces, and gentle hill country slopes in Wairarapa, New Zealand. In the drier eastern and southern parts of Wairarapa, the loess is subject to dry summer and autumn and wet winter and spring in most years.
Alan S. Palmer
wiley   +1 more source

FlowsDT: A geospatial digital twin for navigating urban flood dynamics. [PDF]

Comput Environ Urban Syst
Mandal D, Zou L, Wadhwa A, Wilkho RS, Cai Z, Zhou B, Ye X, Newman G, Gharaibeh N, Güneralp B.   +9 more
europepmc   +1 more source

GLoN: A Global–Local Framework for Global Agricultural Nitrogen Loss Prediction

Modern Agriculture, Volume 4, Issue 2, December 2026.
Accurate global prediction of agricultural nitrogen loss is hindered by imbalanced, heterogeneous data and a ‘one‐size‐fits‐all’ assumption that ignores regional variation. We propose GLoN (Global–Local Nitrogen Prediction), which builds region‐specific models with local variables and synthesises them into a weighted global model.
Baobao Pan, Kaibin Wang, Alex Kai Qin, Xiaoyu Xia, Di Liu, Deli Chen, Shu Kee Lam   +6 more
wiley   +1 more source