Results 141 to 150 of about 101,934 (328)
Physically consistent mesoscale model evaluation in complex terrain
This study introduces a novel approach for evaluating mesoscale atmospheric models in complex terrain by selecting physically consistent grid points and applying height‐based corrections. The method corrects for sensor height and terrain elevation differences between model and observations using a time‐varying lapse rate.
Gaspard Simonet +2 more
wiley +1 more source
The growth of Araucaria araucana, like that of many other conifers, is characterised by the production of a monopodial stem with branch whorls. However, the periodicity of whorl formation in this species has not been subjected to systematic study.
CHRISTOPHER H. LUSK, CARLOS LE-QUESNE
doaj
Direct measurement of bidirectional turbulent fluxes of atmospheric cluster ions
First direct eddy covariance measurements of vertical turbulent fluxes of atmospheric cluster ions are presented. The net turbulent flux was mostly positive for negative cluster ions (net emission of negative ions) and mostly negative for positive cluster ions (net deposition of positive ions).
Luzie Kamecke +2 more
wiley +1 more source
ABSTRACT The Columbia river provides the largest Pacific outflow in the Western Hemisphere and the greatest hydropower production of any North American river system. For hydropower generation and flood risk management, four massive water storage reservoirs followed the Columbia River Treaty between Canada and the United States, with three Canadian dams,
Colleen A. Phelan +2 more
wiley +1 more source
The reproductive cycle of interior lodgepole pine spans approximately 26 months, with seed cones initiating in late summer, followed by pollen conelets emerging the next spring when pollination occurs.
Emelie Dykstra +3 more
doaj +1 more source
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard +9 more
wiley +1 more source
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich +15 more
wiley +1 more source
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean +4 more
wiley +1 more source
An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson +2 more
wiley +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source

