Improving performance of species distribution model in mountainous areas with complex topography

This study aims to improve performance of species distribution model in mountainous areas with complex topography. Random Forest algorithm was used to evaluate distribution ranges of Trochodendron aralioides Siebold & Zucc. in northern Taiwan to identify the determinants of the plant distributio...

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Veröffentlicht in:	Ecological research 2021-07, Vol.36 (4), p.648-662
Hauptverfasser:	Liao, Chi‐Cheng, Chen, Yi‐Huey
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bioclimatology Climate Climate prediction cloud occurrence Collections Data collection Datasets Distribution Geographical distribution Habitat selection Habitats Interpolation Lapse rate leeward slope Mountain regions Mountainous areas Mountains Performance enhancement Plant species Regression models Spatial discrimination Spatial resolution Species Temperature differences Topography Training Trochodendron aralioides Weather stations Wind speed windward slope Yangmingshan area
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