Classic Works in Evolutionary Biology

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Under construction.png This article is still under construction.
Expect it to change frequently until this notice is removed.


'What is This Page?'


This page grew out of a graduate seminar taught in EEB during the spring semester, 2008, by Kurt Schwenk. There was a general consensus that it would be useful to graduate students and the EEB community to have continuing access to the papers and book selections we read during the semester, as well as pdf files of additional papers included in the master list of 'classic' works in evolutionar biology. Many of these pdfs are available here.

What is 'The Master List'?


The 'master list' is a list of classic works in evolutionary biology compiled and partially annotated by Kurt Schwenk during the course of the semester. It was created based on Schwenk's personal choices as well as suggestions from EEB colleagues and various web sources. Obviouly there are potentially as many lists of 'classic works' as there are evolutionary biologists - this list is not intended in any way to be definitive. It is naturally subjective and reflects, to some degree, Schwenk's personal biases.

A Comment on Editing the Master List


A great advantage of using an EEBedia page for this purpose is that it can be edited and ammended by the EEB community (thank you Paul Lewis!). However, I have a request - as much as I would like to see additions, changes, annotations, etc., I ask that a copy of the 'original' master list be preserved. Thus, my suggestion is to post a new list, or to copy the original, modify it and post it with an appropriate new title.

If you make additions to the list, I strongly encourage you, whenever possible, to upload pdfs of the new paper. Since one of the principle purposes of this page is to educate graduate students and to help them prepare for their oral qualifying exams, making it easy to obtain suggested readings would be a great service. Not everything will be available in electronic format, obviously, but often more is available than one might think (i.e., it is available through web sources outside of JSTOR or other usual library electronic databases) and can be located by doing a Google search on the title. Scanned documents are good, but watch out for memory hogs - they might clog up the system.