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    <meta content="Johnson, Craig R." name="eprints.creators_name" />
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<meta content="This chapter examines cellular automaton models of sessile colonial organisms that compete for space and demonstrate intransitivity in competitive interactions. Comparisons of spatial (cellular automata) and non-spatial (difference equation) models of 3-species intransitive network reveal qualitatively different dynamics and highlight the importance of including spatial context in community models. The cellular automata demonstrate emergence of a rich variety of spatial pattern, with the scale and topology of pattern being dependent on species richness, network structure, the exact nature of overgrowth interactions, and often on initial percentage cover and spatial arrangement of individuals. For many models, pattern topology is robust to various forms and levels of disturbance. Species co-existence is sensitive to symmetry in both network structure and growth rates of species, and to the area of habitat patches. The minimum habitat area for co-existence of species in stable networks depends strongly on the scale and topology of the self-organising spatial pattern." name="eprints.abstract" />
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    <h1 class="ep_tm_pagetitle">Self-organizing in spatial competition systems</h1>
    <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Johnson, Craig R.</span> (1997) <xhtml:em>Self-organizing in spatial competition systems.</xhtml:em> In: Frontiers in Ecology - Building the Links. . Elsevier, Amsterdam, pp. 245-263. ISBN 008043200X</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/1291/1/Johnson_1997.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" border="0" class="ep_doc_icon" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/1291/1/Johnson_1997.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />26Mb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input value="1685" name="docid" accept-charset="utf-8" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">This chapter examines cellular automaton models of sessile colonial organisms that compete for space and demonstrate intransitivity in competitive interactions. Comparisons of spatial (cellular automata) and non-spatial (difference equation) models of 3-species intransitive network reveal qualitatively different dynamics and highlight the importance of including spatial context in community models. The cellular automata demonstrate emergence of a rich variety of spatial pattern, with the scale and topology of pattern being dependent on species richness, network structure, the exact nature of overgrowth interactions, and often on initial percentage cover and spatial arrangement of individuals. For many models, pattern topology is robust to various forms and levels of disturbance. Species co-existence is sensitive to symmetry in both network structure and growth rates of species, and to the area of habitat patches. The minimum habitat area for co-existence of species in stable networks depends strongly on the scale and topology of the self-organising spatial pattern.</p></div><table style="margin-bottom: 1em" border="0" cellpadding="3" class="not_ep_block"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Book Chapter</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270702.html">270000 Biological Sciences &gt; 270700 Ecology and Evolution &gt; 270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)</a></td></tr><tr><th valign="top" class="ep_row">Collections:</th><td valign="top" class="ep_row">UNSPECIFIED</td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1291</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Professor Craig R. Johnson</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">29 Jun 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">06 Feb 2008 23:00</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1291;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=1291">item control page</a></p>
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