Results 221 to 230 of about 109,697 (288)

Estimating the botanical composition of bahiagrass–rhizoma peanut pastures using aerial multispectral imagery and deep learning

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Estimating the botanical composition in mixed pastures is challenging due to resource‐intensive sampling methods overlooking grassland spatial variability. We aimed to (I) classify bahiagrass (Paspalum notatum Flügge) and rhizoma peanut (Arachis glabrata Benth.) in grass–legume pastures using aerial multispectral imagery and machine learning, (
Igor L. Bretas, Chang Zhao, Jose C. B. Dubeux Jr., Yu Xin, Zhou Tang, Kevin R. Trumpp, Javier P. Acuna, Ian M. Small, Cleber H. L. de Souza   +8 more
wiley   +1 more source

Ecological niche divergence and specialization in Dianthus pseudocrinitus, a neo-endemic species: ecological evidence challenges sister-taxon delimitation. [PDF]

BMC Ecol Evol
Behroozian M.
europepmc   +1 more source

Remote sensing and machine learning models to assess and predict turfgrass performance and soil water stress under deficit irrigation for creeping bentgrass

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Turfgrass management faces challenges related to water scarcity, making it essential to explore innovative technologies, such as remote sensing and machine learning (ML), to monitor turf quality (TQ) and soil moisture levels effectively. The objective of this study was to develop ML models using unmanned aerial vehicle and imagery technology ...
Haoguang Yang, Devan Gladden, Stephanie Rossi, Bingru Huang   +3 more
wiley   +1 more source

Desertification monitoring in arid oasis environment using Google Earth Engine, machine learning, and field-based hydrogeological assessment. [PDF]

Sci Rep
Moumane A, Azougarh Y, Enajar AA, Alkhuraiji WS, Bahdou I, Al Karkouri J, Nahas F, Rebouh NY, Youssef YM.   +8 more
europepmc   +1 more source

Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China

Ecology and Evolution, Volume 16, Issue 3, March 2026.
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang, Yu Peng, Ying Ye, Yue Qi, Lizheng He   +4 more
wiley   +1 more source

Ecological Drivers of Vertebrate Richness and Implications for Inland Wetland Survey in Korea. [PDF]

Animals (Basel)
Lee Y, Kim M, Kim JG, Lee S.
europepmc   +1 more source

Weathering the Storm: Legacies of Extreme Meteorological Events and Daily Weather Variability Shape the Skin Microbiota of the Endangered Golden Alpine Salamander Salamandra atra aurorae (Trevisan, 1982)

Ecology and Evolution, Volume 16, Issue 3, March 2026.
In 2018 the Vaia windstorm caused severe damage to much of the woodland habitat of the golden Alpine salamander (Salamandra atra aurorae), an endangered subspecies endemic to the Venetian Prealps, the consequences of which are still being understood. We profiled the bacterial and fungal skin microbiota of 56 golden Alpine salamanders from forest plots ...
Emily L. Pascoe, Federico Polli, Matteo Girardi, Michele Dalponte, Matteo Marcantonio, Antonio Romano, Luca Roner, Giulio Galla, Lucia Zanovello, Paolo Pedrini, Heidi C. Hauffe   +10 more
wiley   +1 more source

Aeolian sand migration induced land degradation and desertification hotspots identification in the semi-arid rain shadow regions of Anantapur, India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Kottala RB, Pujari PS, Gugulothu S.   +4 more
europepmc   +1 more source

Predation Risk Does Not Delay Breeding but Reduces Nest Survival in High‐Arctic Shorebirds

Ecology and Evolution, Volume 16, Issue 3, March 2026.
We assessed the impact of arctic foxes' predation pressure on two sympatric sandpiper species. Fox activity influenced the breeding ecology of both sandpipers, with earlier nest initiations and lower nest survival rates in areas of high fox activity. ABSTRACT Understanding predator–prey interactions is crucial for correctly answering many fundamental ...
Laura Bonnefond, David Pinaud, Loïc Bollache, Thomas Pagnon, Eric Buchel, Brigitte Sabard, Vladimir Gilg, Jérôme Moreau, Olivier Gilg   +8 more
wiley   +1 more source