Results 181 to 190 of about 53,515 (307)

Population Dynamics of Northern Pearl Dace Margariscus nachtriebi in Anthropogenically Altered Headwater Streams of the Nebraska Sandhills Ecoregion

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Empirical evidence of population demographic responses to environmental perturbations is a major knowledge gap for aquatic vertebrate populations. Extensive habitat alteration including channelization of headwater streams influences the habitat template on which small‐bodied fish are dependent to carry out distinct life stages and maintain or ...
Joseph Spooner, Jonathan Spurgeon
wiley   +1 more source

Assessing Spatial Riverbed Clogging and Its Dynamics at the Reach Scale: A Coupled Approach Combining Field Measurements and 1D Hydro‐Sedimentary Numerical Modeling

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Assessing spatial and temporal variability of clogging in gravel‐bed rivers is challenging because field methods typically rely on labor‐intensive measurements of fine‐sediment content, porosity, or hydraulic conductivity. Clogging is also highly dynamic, driven by hydro‐sedimentary conditions; yet few studies have examined it at large scales ...
D. Hernandez, B. Camenen, A. Bonnefoy
wiley   +1 more source

The diversity and abundance of chytrids on the Greenland Ice Sheet. [PDF]

open access: yesSci Rep
Perini L   +6 more
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity   +8 more
wiley   +1 more source

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