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John A. Young

Researcher at United States Geological Survey

Publications -  61
Citations -  1738

John A. Young is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Population & Tsuga. The author has an hindex of 18, co-authored 57 publications receiving 1545 citations. Previous affiliations of John A. Young include United States Forest Service.

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Influences of upland and riparian land use patterns on stream biotic integrity

TL;DR: In this article, the authors explored land use, fish assemblage structure, and stream habitat associations in 20 catchments in Opequon Creek watershed, West Virginia, to determine the relative importance of urban and agriculture land use on stream biotic integrity, and evaluate the spatial scale at which land use effects were most pronounced.
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Influence of eastern hemlock (Tsuga canadensis) forests on aquatic invertebrate assemblages in headwater streams

TL;DR: It is suggested that hemlock decline may result in long-term changes in headwater ecosystems leading to reductions in both within-stream and park-wide benthic community diversity.
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Intersex (Testicular Oocytes) in Smallmouth Bass from the Potomac River and Selected Nearby Drainages

TL;DR: The prevalence of testicular oocytes is discussed in terms of human population and agricultural intensity and the number of histologic sections needed to accurately detect the condition in mature smallmouth bass was statistically evaluated.
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Reproductive endocrine disruption in smallmouth bass (Micropterus dolomieu) in the Potomac River basin: spatial and temporal comparisons of biological effects

TL;DR: Bass collected in the South Branch Potomac had less sperm per testes mass with a lower percentage of those sperm being motile when compared to those from the Gauley River (low prevalence of TO), and an inverse relationship was noted between TO severity and sperm motility.
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Accounting for groundwater in stream fish thermal habitat responses to climate change.

TL;DR: Air-water temperature regression models can provide a powerful and cost-effective approach for predicting future stream temperatures while accounting for effects of groundwater and Habitat fragmentation due to thermal barriers may have an increasingly important role for trout population viability in headwater streams.