Improving Species Distribution Models for Stream Networks by Incorporating Spatial Autocorrelation in Multi‐Sourced Datasets: A Range‐Wide Assessment of Idaho Giant Salamander Status and Future Risk.

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Title: Improving Species Distribution Models for Stream Networks by Incorporating Spatial Autocorrelation in Multi‐Sourced Datasets: A Range‐Wide Assessment of Idaho Giant Salamander Status and Future Risk.
Authors: Isaak, Daniel J.1 (AUTHOR) disaak67@gmail.com, Dumelle, Michael2 (AUTHOR), Horan, Dona L.1 (AUTHOR), Mason, Daniel H.3 (AUTHOR), Franklin, Thomas W.3 (AUTHOR), Nagel, David E.1 (AUTHOR), Ver Hoef, Jay M.4 (AUTHOR), Young, Michael K.3 (AUTHOR)
Source: Diversity & Distributions. Sep2025, Vol. 31 Issue 9, p1-17. 17p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 188311404
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  Data: Improving Species Distribution Models for Stream Networks by Incorporating Spatial Autocorrelation in Multi‐Sourced Datasets: A Range‐Wide Assessment of Idaho Giant Salamander Status and Future Risk.
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  Data: <searchLink fieldCode="JN" term="%22Diversity+%26+Distributions%22">Diversity & Distributions</searchLink>. Sep2025, Vol. 31 Issue 9, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=188311404
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        Value: 10.1111/ddi.70085
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Improving Species Distribution Models for Stream Networks by Incorporating Spatial Autocorrelation in Multi‐Sourced Datasets: A Range‐Wide Assessment of Idaho Giant Salamander Status and Future Risk.
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              Text: Sep2025
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              Y: 2025
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