Results 101 to 110 of about 3,063,525 (235)

An AI‐assisted workflow for generating historical species distributions from avian museum specimens

Ibis, EarlyView.
The Earth's biodiversity is changing rapidly due to human activities. Natural history collections could help us better understand how and why biodiversity is changing but are grossly under‐used in this respect. Artificial intelligence (AI) has the potential to transform this situation by enabling us to unlock data associated with museum specimens more ...
Peter Learned, Mark Adams, Arianna Salili‐James, Malcolm Penn, Paul Sweet, Thomas Trombone, Ken Norris   +6 more
wiley   +1 more source

Rhododendron diversity patterns provide new insights for conserving China's montane flora

Journal of Integrative Plant Biology, EarlyView.
Integrating distribution, phylogenetic, and functional trait data for 603 Rhododendron species in China identified significant conservation hotspots of multidimensional diversity, particularly in the Hengduan Mountains. Climate seasonality and topographic heterogeneity jointly influenced these patterns; however, notable conservation gaps remained ...
Ming‐Shu Zhu, Zhi‐Qiong Mo, Ya‐Yuang Luo, Chao‐Nan Fu, Ting Zhang, Michael Möller, Jie Cai, Wei Zheng, De‐Zhu Li, Lian‐Ming Gao   +9 more
wiley   +1 more source

Modeling of the geographical distribution of two forest‐forming fucoids in the Strait–Alboran demarcation (southern Iberian Peninsula): Implications for conservation and restoration

Journal of Phycology, EarlyView.
Abstract Marine forests formed by canopy‐forming brown algae of the former Cystoseira complex are key habitat‐forming components of Mediterranean coastal ecosystems, supporting biodiversity and multiple ecosystem functions. However, many populations have declined in recent decades due to increasing anthropogenic pressures and climate change, raising ...
Pablo Pérez‐Castro, Elena Bañares‐España, Antonio Flores‐Moya, Ignacio J. Melero‐Jiménez   +3 more
wiley   +1 more source

Systematic and Taxonomic Revision of Ostrea stentina Species Complex (Bivalvia: Ostreidae): New Insights From a Topotype‐Based Integrative Approach

Zoologica Scripta, EarlyView.
ABSTRACT Cryptic marine species complexes with plastic morphology, shallow divergence, and broad distributions are among the hardest taxonomic problems in zoology. The Ostrea stentina complex, reported across the Atlantic, Mediterranean, and Indo‐Pacific, is a striking example. We present the first topotype‐anchored integrative revision of this complex,
Matteo Garzia, Serge Gofas, Paolo Mariottini, Daniele Salvi   +3 more
wiley   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

High-Performance Parallel Direct Georeferencing for Massive ULS LiDAR Measurements

Remote Sensing
The rapid increase in point density and acquisition rate of UAV laser scanning (ULS) systems has shifted the primary bottleneck of LiDAR workflows from data acquisition to post-processing, particularly during direct georeferencing of massive LiDAR ...
Mei Yu, Yuhao Zhou, Hua Liu, Bo Liu
doaj   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

WTO direct action convergence, Seattle, WA (nov. 20-28), registration application [verso]

, 1999
Alternate title: DAN registration. Affiliated web page url: www.agitprop.org/artandrevolution/wto. Also sent out as document 6 of 19 in a Direct Action Network (DAN) organizing packet; these documents are contained in a 9 X 12 inch envelope stating ...
Direct Action Network (DAN)
core  

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source