臺灣畫眉(Leucodioptron taewanum)曾被认为是画眉鸟的亞種,但是現已被獨立为一個分開的物種。 基于線粒體細胞色素b基因的研究,Li et al (2006)認為臺灣画眉與中國画眉在大约1.5百萬年前演化分開為兩個物種,而L. c. canorum與L. c. owstoni大约於600,000年前分開為兩個亞種。[2]
L. c. canorum被引入到臺灣、新加坡和夏威夷。 在夏威夷群島,画眉在20世紀初被引入在原生森林和人造棲所,在考艾島,毛伊島和夏威夷島較常見,但是較少見於在歐胡島和莫洛凱島。
参考文献
^Garrulaxcanorus. IUCN Red List of Threatened Species 2010. International Union for Conservation of Nature. 2008.. 数据库资料包含解释为何此物种为无危
^(英文)Shou-Hsien Li, Jing-Wen Li, Lian-Xian Han, Cheng-Te Yao, Haitao Shi, Fu-Min Lei, Chungwei Yen (2006) "Species delimitation in the Hwamei Garrulax canorus", Ibis 148 (4): 698–706. doi:10.1111/j.1474-919X.2006.00571.x
^(英文)Birding in Taiwan - Hwamei 页面存档备份,存于互联网档案馆 查询於2007-07-16.
(英文)MacKinnon, John & Phillipps, Karen (2000) A Field Guide to the Birds of China, Oxford University Press, Oxford.
(英文)Pratt, H. Douglas; Bruner, Philip L. & Berrett, Delwyn G. (1987), A Field Guide to the Birds of Hawaii and the Tropical Pacific, Princeton University Press, Chichester.
(英文)Robson, Craig (2002) A Field Guide to the Birds of South-East Asia, New Holland Publishers (UK) Ltd., London.
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1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...