supported by the 100 Young Talents Program of Chinese Academy of Sciences and partly supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDB26000000)~~
Supported by the Priority Programs in Science and Technology,Fujian Province(No.2010Y0010);the Priority Programin 863Project in China(No.2011AA02A114)~~
a National Science Foundation (USA) grant made to Xiang(DEB-0444125);supported by a NSF grant funded to D.E.Soltis (DEB-0090283)
We propose a simple statistical approach for using Dispersal-Vicariance Analysis (DIVA) software to infer biogeographic histories without fully bifurcating trees. In this approach, ancestral ranges are first optimiz...