作者: M. Mbatudde , G. Majaliwa , G. Eilu , E. Kakudidi , H. Dalitz
DOI: 10.1111/AJE.12058
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摘要: The various human-induced threats imposed on nature have recently triggered the study of species’ distributions. We developed potential suitability models using two algorithms for a threatened African mahogany, Entandrophragma angolense, in three East countries; Kenya, Tanzania and Uganda. effect features selection modelling algorithm predictions was explored. Occurrence records highresolution environmental data were used. species distribution techniques genetic rule prediction; maximum entropy modelling. With Maxent, area under receiver characteristic operating curve (AUC) tested independent ranged from 0.942 to 0.972 when automatic 0.974 0.666 with target or specific features. GARP, AUC 0.591 0.736 all types 0.388 0.805 (Tables 1 2). E. angolense best predicted by soil, rainfall aspect GARP. Potential increased increasing decreased slope. Low elevation suitability, while high levels either variable suitability. maps vulnerable require multi-algorithm, fine scale approach incorporation variables like slope, land use elevation. Species can offer insight requirements help guide development management plans. Results this suggest that plans should promote protection terrestrial forests surrounding water bodies including Mabira forest