Machine learning approaches delimit cryptic taxa in a previously intractable species complex.

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第一作者： Haley L A,Heine

第一单位： Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: haleyheine@gmail.com.

作者： Haley L A,Heine ^[1] ; Shahan,Derkarabetian ^[2] ; Rina,Morisawa ^[3] ; Phoebe A,Fu ^[4] ; Nathaniel H W,Moyes ^[5] ; Sarah L,Boyer ^[6]

作者单位： Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: haleyheine@gmail.com. ^[1] Museum of Comparative Zoology, Harvard University, 26 Oxford St., Cambridge, MA 02138, USA. Electronic address: sderkarabetian@gmail.com. ^[2] Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: rina.morisawa1@gmail.com. ^[3] Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: phoebefu954@gmail.com. ^[4] Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: nathanielmoyes@gmail.com. ^[5] Biology Department, Macalester College, 1600 Grand Ave., St. Paul, MN 55105, USA. Electronic address: boyer@macalester.edu. ^[6]

关键词 Aotearoa Cyphophthalmi New Zealand Opiliones

主题词动物(Animals);种系发生(Phylogeny);蜘蛛纲(Arachnida);蜘蛛(Spiders);新西兰(New Zealand)

DOI 10.1016/j.ympev.2024.108061

PMID 38485107

发布时间 2024-04-22

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准确一般字义偏差语意偏离译文作用小提交