Article: Potential habitat areas and priority protected areas of
2024 Volume 15, Page(s) 1365264
Abstract: Introduction: Tilia amurensis Rupr: Methods: In this study, the R language was used to evaluate 358 distribution records and 38 environment variables. The MaxEnt model was used to predict the potential distribution areas of : Results: The results ... ...
Abstract | Introduction: Tilia amurensis Rupr Methods: In this study, the R language was used to evaluate 358 distribution records and 38 environment variables. The MaxEnt model was used to predict the potential distribution areas of Results: The results showed that Bio18, Slope, Elev, Bio1, Bio9 and Bio2 were the dominant environmental factors affecting the distribution of Discussion: The total suitable area of |
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Language | English |
Publishing date | 2024-03-15 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2613694-6 |
ISSN | 1664-462X |
ISSN | 1664-462X |
DOI | 10.3389/fpls.2024.1365264 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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