Results 271 to 280 of about 10,876,993 (375)

Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China. [PDF]

open access: yesSci Rep
Elbeltagi A   +8 more
europepmc   +1 more source

Enhancing post‐fire decision‐making: a framework for rapid wildfire impact assessment and evidence‐based management planning

open access: yesRestoration Ecology, EarlyView.
Abstract Introduction Altered wildfire regimes, exacerbated by unsustainable management, threaten natural ecosystem recovery post‐fire. Effective restoration requires timely fire impact assessments and tailored, evidence‐based management. While fire databases and Environmental Impact Assessment (EIA) frameworks partially support decision‐making, a ...
Irina Cristal   +4 more
wiley   +1 more source

Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley. [PDF]

open access: yesSci Rep
Rueda Cadavid JF   +4 more
europepmc   +1 more source

A climate‐sensitive tropical urbanism under extreme heat†

open access: yesSingapore Journal of Tropical Geography, EarlyView.
Tropical urban dwellers face twin climate challenges that impinge on their quality of life: climate overheating and the urban heat island (UHI). The latter superimposed on the former to lead to high levels of thermal discomfort, carbon and energy consequences.
Rohinton Emmanuel
wiley   +1 more source

PFAS Vadose Zone Mass Discharge at an AFFF‐Impacted Site: 1. Validation Based on a Multiple Lines‐of‐Evidence Approach

open access: yesRemediation Journal, Volume 36, Issue 2, Spring 2026.
ABSTRACT Questions have recently been raised about the suitability of using porewater samples collected with suction lysimeters to estimate per‐ and polyfluoroalkyl substances (PFAS) mass discharge in the vadose zone. Multiple lines of evidence were evaluated to determine if porewater samples collected during a data gaps investigation in the former ...
Grant R. Carey   +8 more
wiley   +1 more source

Effect of sowing date and genotype on pearl millet yield across semi‐arid regions of Sub‐Saharan Africa

open access: yesCrop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract In climate change–vulnerable, food‐insecure semi‐arid regions of Sub‐Saharan Africa, limited studies compared the performance of pearl millet [Pennisetum glaucum (L.)] landraces and improved genotypes under staggered sowing to establish their interactions, resulting in a generalization that landraces are lower yielding than their improved ...
Simon K. Awala   +6 more
wiley   +1 more source

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