Results 111 to 120 of about 11,225 (267)

Fine Sediment Depositional Patterns and Fish Habitat Following Wildfire and Debris Flow

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT The 2020 Cameron Peak wildfire burned part of the Poudre River catchment in Colorado, USA. The river flows through a high‐gradient canyon before entering a lower‐gradient transition zone with modified channel morphology and flow regime. Widespread post‐fire erosion introduced fine sediment (< 2 mm) to the river, causing sediment deposition and
Aaron Katz   +3 more
wiley   +1 more source

Making Waves: The Effects of Whitewater Parks on Fish Passage in Colorado

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Instream structures have fragmented riverine habitats throughout much of the world, including the Western USA. Whitewater parks (WWPs) are relatively new instream structures designed to create hydraulic waves for recreational boating and surfing by constricting flows into a steep chute or drop.
Eric E. Richer   +5 more
wiley   +1 more source

Towards Holistic Braided River Management: The Interface of Geomorphology, Hydrology, Ecology and Economics

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Braided rivers are some of the most dynamic and complex river systems in the world. They provide unique habitat to rare species, supply natural resources, and act as a source of groundwater recharge. However, they can also pose significant flooding and erosion hazards. Current management of braided rivers in Aotearoa New Zealand faces a strong
Clare Wilkinson   +5 more
wiley   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +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

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