Results 171 to 180 of about 1,178,025 (303)

Transforming Agricultural Water Management Through the Water–Energy–Food Nexus: Trends, Opportunities, Barriers and Solutions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Agricultural water management (AWM) is increasingly transitioning towards transformative thinking, where interconnected sectors, including water, energy and food, are managed holistically. Trends point towards cross‐sectoral and harmonised strategies to optimise water use efficiency and productivity, integrate renewable energy, promote ...
Luxon Nhamo   +5 more
wiley   +1 more source

Transforming Agricultural Water Management for Healthy People and Planet: Thinking Beyond Water

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This paper develops the concept of Thinking Beyond Water, a transdisciplinary paradigm that reframes agricultural water management (AWM) as a systems catalyst for planetary health, equity, justice and resilience. Moving beyond conventional irrigation‐centric models, we reimagine AWM through integrative frameworks such as the planetary ...
Tafadzwanashe Mabhaudhi   +6 more
wiley   +1 more source

Construction and Application of a Novel C‐Vine Copula‐Based Multi‐Variate Ecological Drought Index

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT A comprehensive ecological drought index capturing vegetation growth conditions and meteorological–hydrological variability is essential for assessing ecological drought and optimizing water resource management. This study selected soil moisture (SM), actual evapotranspiration (ET), land surface temperature (LST) and leaf area index (LAI) to ...
Haofei Zhang, Xingye Han, Zhijun Wu
wiley   +1 more source

Subcellular Localization of Iron in Rhizophora mangle Leaves Revealed by Integrated Perls Reaction, TEM, STEM‐HAADF, and EDS Analyses

open access: yesMicroscopy Research and Technique, EarlyView.
Perls–TEM–STEM‐HAADF–EDS enables high‐resolution localization and elemental characterization of Fe‐containing deposits in Rhizophora mangle leaf cells. ABSTRACT Mangrove ecosystems are frequently exposed to high concentrations of iron (Fe) in sediments, resulting in Fe accumulation in plant tissues. Although Fe is an essential micronutrient involved in
Silvia Rodrigues Machado   +4 more
wiley   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

open access: yesInternational Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo   +5 more
wiley   +1 more source

Divergent patterns of richness and density in the global soil seed bank. [PDF]

open access: yesNat Commun
Auffret AG   +13 more
europepmc   +1 more source

Contrasting Heatwave Regimes in Dry and Humid Subtropical Mexico: A Station‐Based Probabilistic Assessment

open access: yesInternational Journal of Climatology, EarlyView.
Heatwaves have intensified under a warming climate, producing substantial environmental and societal impacts. This study characterizes heatwave regimes in two contrasting regions of Mexico using a percentile‐based threshold and a Poisson distribution framework.
Jorge Cortés‐Ramos   +6 more
wiley   +1 more source

I wish I were there… a review of tropical ecosystems and ecological concepts

open access: yesFrontiers of Biogeography, 2013
Jennifer S. Powers
doaj  

Spatio‐Temporal Analysis of Human Thermal Comfort and Relationships With Large‐Scale Climate Indices Along Ghana's Coastal‐Urban Corridor From 1980 to 2020

open access: yesInternational Journal of Climatology, EarlyView.
Four decades of UTCI data show increasing thermal stress along Ghana's coastal‐urban corridor, with very strong heat‐stress days rising by about 1.4 days/year. Random Forest–SHAP analysis with temporal validation identified AOD as the strongest model‐based predictor of monthly UTCI variability, followed by TSA, WHWP, and AMO.
Kwadwo Frimpong   +3 more
wiley   +1 more source

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