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Prediction of Potential Forest Risk Areas for Phytopythium helicoides in China Under Climate Change Based on Maximum Entropy Modeling.

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Title: Prediction of Potential Forest Risk Areas for Phytopythium helicoides in China Under Climate Change Based on Maximum Entropy Modeling.
Authors: Kong, Yuzhe1 (AUTHOR), Jiao, Binbin2 (AUTHOR), Dai, Size3 (AUTHOR), Yang, Chun1,4 (AUTHOR), Chen, Qing1,4 (AUTHOR), Dai, Tingting1,2 (AUTHOR) 13770647123@163.com
Source: Forests (19994907). May2026, Vol. 17 Issue 5, p626. 20p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 194117173
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Prediction of Potential Forest Risk Areas for Phytopythium helicoides in China Under Climate Change Based on Maximum Entropy Modeling.
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  Data: <searchLink fieldCode="JN" term="%22Forests+%2819994907%29%22">Forests (19994907)</searchLink>. May2026, Vol. 17 Issue 5, p626. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194117173
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        Value: 10.3390/f17050626
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 626
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      – TitleFull: Prediction of Potential Forest Risk Areas for Phytopythium helicoides in China Under Climate Change Based on Maximum Entropy Modeling.
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            NameFull: Jiao, Binbin
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            NameFull: Yang, Chun
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            NameFull: Chen, Qing
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 17
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