Results 201 to 210 of about 30,185 (263)

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

Riparian Failure: Damming and Flow Stabilization Exclude Cottonwood Colonization Along a Dryland River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT The Marias River flows from Glacier National Park through northcentral Montana, and into the Missouri River. Annual flows gradually declined from 1902 to 2024 (~3.2%/decade) and the 1952 Tiber Dam and Lake Elwell reservoir were operated to attenuate peak flows and stabilize downstream flows year‐round.
Stewart B. Rood, Lori A. Goater
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

Undisturbed forest canopies slow understory warming by one-third across Europe

open access: yes
Haesen S   +52 more
europepmc   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law   +10 more
wiley   +1 more source

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