Xref: utzoo sci.math:12029 sci.bio:3442 Path: utzoo!attcan!uunet!wuarchive!zaphod.mps.ohio-state.edu!pacific.mps.ohio-state.edu!ohstpy!miavx1!miamiu!jahayes From: JAHAYES@MIAMIU.BITNET Newsgroups: sci.math,sci.bio Subject: Re: Mathematical ecology Message-ID: <90226.183932JAHAYES@MIAMIU.BITNET> Date: 14 Aug 90 23:39:32 GMT References: <1482@ntmtv.UUCP> <1990Aug9.180603.5489@athena.mit.edu> <5056.26c7f37a@vax5.cit.cornell.edu> Distribution: sci Organization: Miami University - Academic Computer Service Lines: 30 Mathematical ecology is simply the application of mathematical techniques to the analysis of ecological problems. This might consist of using linked differential equations to describe, say, n-species interactions -- obviously, this could be addressed easily using matrix techniques. I'm currently using cellular automaton theory to examine species distributions on a (roughly) two-dimen- sional surface (e.g. coral reefs). I suppose that falls into the field of mathematical ecology. Some prominent workers in the field include Robert May, Simon Levin, and Robert Levins. There are several textbooks, although Pielou's "Mathematical Ecology" is more a guide to enumeration techniques (i.e. diversity indices, measures of contagion, etc.). I could supply a list of some sample texts if you could be more specific in your request (I especially recommend May's 1973 "Stability and Diversity in [or is it 'of'?] Model Ecosystems"; I believe it to be a flawed analysis, but it gives you some idea of what can be done. Also check out recent issues of the journals Theoretical Population Biology, the Journal of Theoretical Biology, Ecological Modelling, and the American Naturalist for some more or less mathematical approaches. Hope this helps. (Sorry if I've repeated some of this thread; I've been out of town and our news server has gotten flakey in the interim). ------ Josh Hayes, Zoology, Miami University, Oxford OH 45056 jahayes@miamiu.acs.muohio.edu or jahayes@miamiu.bitnet I don't need a disclaimer, because I never lie, and I'm always right. So there. Nyah.