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Dupuy, Madeleine M., author.
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, including conservation biocontrol, but also illustrates the necessity of regional predictive models
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Michels, Kristin K., author.
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To test the spatial edge effect, we selected best-fit generalized linear mixed models with a range
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Gustafson, Gregory Gene, author.
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likelihood ratio tests yielded some significant results. Mixed effects models were run first and top fixed
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Hamilton, Bryan T., author. (orcid)0000-0001-5967-1966
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primarily on small mammals, indirectly depending on snow melt for survival and reproduction. Climate models
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Gill, Nathan S., author.
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distribution model and numerous mixed-effect models, I evaluated the effect of disturbance interactions on four
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van Rees, Charles Barteld, author.
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. Models that treated water features like rivers, streams, and drainage canals as corridors for gallinule
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Peltier, Drew, author.
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include more complex temporal variability in growth into predictive models. These results also demonstrate
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Sisson, Nicholas B., author. (orcid)0000-0003-0066-9225
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to play an important role in assessing the biological significance of our species distribution models
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Reyes, Julian J., author. (orcid)0000-0003-4351-2455
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ecological services these ecosystems provide. Process-based models are useful to quantify the separate and
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Fite, Ethan Andrew, author.
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growth models show similar parameters to those from other Southern Appalachian populations as well as
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Layman, Nathan Charles, author. (orcid)0000-0003-2238-6584
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. Using computational models, we examined two of the major transitions thought to facilitate the evolution
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Emeterio, Sarah E., author.
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, as proposed in Schafer et al. 2012? Results of generalized linear mixed effects models and visual

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