Erin Landguth

University of Montana

United States

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Articles (14)

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2025

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2025

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2024

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2022

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2020

Collaborators (8)

Kristen C Ruegg

Colorado State University

UNITED STATES

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Tal Avgar

UNITED STATES

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Clayton Lamb

The University of British Columbia

CANADA

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Curtis W. Noonan

University of Montana

UNITED STATES

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Christopher C. Caudill

UNITED STATES

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Michael Charleston

Professor in Bioinformatics

University of Tasmania

AUSTRALIA

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Travis Seaborn

Assistant Professor

North Dakota State University

UNITED STATES

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Stephanie Galla

Assistant Professor, Avian Biology

Boise State University

UNITED STATES

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Erin Landguth

Research Interests

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Articles (14)

Changing grizzly bear space use and functional connectivity in response to human disturbance in the southern Canadian Rocky Mountains

Population Genomics Reveals Local Adaptation Related to Temperature Variation in Two Stream Frog Species: Implications for Vulnerability to Climate Warming

A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19

Reconstructing mountain goat history in the Olympic Mountains, USA

Individual-Based Models for Incorporating Landscape Processes in the Conservation and Management of Aquatic Systems

Simulating plasticity as a framework for understanding habitat selection and its role in adaptive capacity and extinction risk through an expansion of CDMetaPOP

Simulation-based insights into community uniqueness within fragmented landscapes

Corridor‐based approach with spatial cross‐validation reveals scale‐dependent effects of geographic distance, human footprint and canopy cover on grizzly bear genetic connectivity

CDMetaPOP 2: a multispecies, eco‐evolutionary simulation framework for landscape demogenetics and connectivity

Evolutionary potential mitigates extinction risk under climate change in the endangered southwestern willow flycatcher

Revisiting classical SIR modelling in light of the COVID-19 pandemic

Daily 1 km terrain resolving maps of surface fine particulate matter for the western United States 2003–2021

MrIML: Multi‐response interpretable machine learning to model genomic landscapes

Modelling multilocus selection in an individual‐based, spatially‐explicit landscape genetics framework

Collaborators (8)

Kristen C Ruegg

Tal Avgar

Clayton Lamb

Curtis W. Noonan

Christopher C. Caudill

Michael Charleston

Travis Seaborn

Stephanie Galla

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