Results 101 to 110 of about 4,953 (252)

Carbon sequestration strategies for climate resilience: Sorghum‐based innovations for sustainable agriculture in dryland regions

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is intensifying heat, drought, and food insecurity, threatening dryland farming and carbon management worldwide. We reviewed research on sorghum, a drought‐adapted C4 crop, covering physiology, roots, biomass allocation, soil carbon, bioenergy, breeding, phenotyping, management, and policy.
Monir Idres Yahya Ahmed, Ahmed Khaled Hassan Mohammedali, Nasrein Mohamed Kamal, Takashi Okamoto, Takayoshi Ishii   +4 more
wiley   +1 more source

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi, Samantha Hall, Maria Hernandez, Anil Mantri, Daniel Kliebenstein, Christian Nansen   +5 more
wiley   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard, Alain Beaulne, Mark Buehner, Laurence Coursol   +3 more
wiley   +1 more source

Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification

Remote Sensing
Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang, Yi-Mei Kuo, Kenneth Yeonkong Ma   +2 more
doaj   +1 more source

Model‐resolution impacts on all‐sky infrared radiance simulation and cloud‐dependent observation errors over Indonesia

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical weather prediction over Indonesia is particularly challenging, because convection evolves rapidly and is modulated strongly by land–sea interactions across the maritime continent. To constrain forecasts better, there is substantial potential in assimilating all‐sky infrared observations, provided that the associated observation‐error ...
Miranti I. Hastuti, Sarah L. Dance, Ross N. Bannister, Alison M. Fowler, Robert S. Plant   +4 more
wiley   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

A Generic Approach to Creating a National Soil Security Strategy

Sustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney, Pasquale Borrelli, Sandra J. Evangelista, Julia Feeth, Damien Field, Nicolas Francos, Irene Heuser, Anilkumar Hunakunti, Daniel Irving, Thilini Jayasekara, Bruce Lascelles, Fatima Maria de Souza Moreira, Budiman Minasny, Cristine L. S. Morgan, Wartini Ng, Julio C. Pachón Maldonado, Mercedes Román Dobarco, Amin Sharififar, Quentin Styc, Mara Thiene, David Watt, Jae E. Yang   +21 more
wiley   +1 more source