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Nathaniel P. Hitt

Researcher at United States Geological Survey

Publications -  56
Citations -  2057

Nathaniel P. Hitt is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Population & Groundwater. The author has an hindex of 23, co-authored 49 publications receiving 1756 citations. Previous affiliations of Nathaniel P. Hitt include University of Montana & Virginia Tech.

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Metacommunity theory as a multispecies, multiscale framework for studying the influence of river network structure on riverine communities and ecosystems

TL;DR: In this article, the authors argue that the principles of metacommunity theory would help stream ecologists to understand how the complex spatial structure of river networks mediates the relative influences of local and regional control on species composition.
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Intercrosses and the U.S. Endangered Species Act: Should Hybridized Populations be Included as Westslope Cutthroat Trout?

TL;DR: It is recommended that only nonhybridized populations be included as westslope cutthroat trout in the unit to be considered for listing, and populations of unknown status should be protected until more information about these populations becomes available.
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Spread of hybridization between native westslope cutthroat trout, Oncorhynchus clarki lewisi, and nonnative rainbow trout, Oncorhynchus mykiss

TL;DR: In this paper, the authors examined spatial and temporal patterns of hybridization between native westslope cutthroat trout, Oncorhynchus clarki lewisi, and nonnative rainbow trout, O. mykiss, in streams of the Flathead River system in Montana, U.S.A.
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Evidence for fish dispersal from spatial analysis of stream network topology

TL;DR: In this article, the authors explored spatial patterns of stream fish dispersal by evaluating how the size and proximity of connected streams explained variation in fish assemblage structure and how this relationship varied with local stream size.
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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.