<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-08T16:05:02Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/6707" metadataPrefix="oai_dc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/6707</identifier><datestamp>2026-02-03T11:17:44Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Emergent diversity in an open-ended evolving virtual community</dc:title>
   <dc:creator>Fernández-Rodríguez, Jose David</dc:creator>
   <dc:creator>Lobo Fernández, Daniel</dc:creator>
   <dc:creator>Martín Reyes, Gema María</dc:creator>
   <dc:creator>Doursat, René</dc:creator>
   <dc:creator>Vico-Vela, Francisco José</dc:creator>
   <dc:subject>Biología computacional</dc:subject>
   <dc:subject>L-systems</dc:subject>
   <dc:subject>Artificial life</dc:subject>
   <dc:subject>Evo-devo-eco</dc:subject>
   <dc:subject>Artificial ecology</dc:subject>
   <dc:subject>Evolutionary dynamics</dc:subject>
   <dc:description>Understanding the dynamics of biodiversity has&#xd;
become an important line of research in theoretical ecology and,&#xd;
in particular, conservation biology. However, studying the evolution&#xd;
of ecological communities under traditional modeling approaches&#xd;
based on differential calculus requires speciesʼ characteristics to be&#xd;
predefined, which limits the generality of the results. An alternative&#xd;
but less standardized methodology relies on intensive computer&#xd;
simulation of evolving communities made of simple, explicitly&#xd;
described individuals. We study here the formation, evolution, and&#xd;
diversity dynamics of a community of virtual plants with a novel&#xd;
individual-centered model involving three different scales: the&#xd;
genetic, the developmental, and the physiological scales. It constitutes&#xd;
an original attempt at combining development, evolution, and&#xd;
population dynamics (based on multi-agent interactions) into one&#xd;
comprehensive, yet simple model. In this world, we observe that our&#xd;
simulated plants evolve increasingly elaborate canopies, which are&#xd;
capable of intercepting ever greater amounts of light. Generated&#xd;
morphologies vary from the simplest one-branch structure of&#xd;
promoter plants to a complex arborization of several hundred&#xd;
thousand branches in highly evolved variants. On the population&#xd;
scale, the heterogeneous spatial structuration of the plant community&#xd;
at each generation depends solely on the evolution of its component&#xd;
plants. Using this virtual data, the morphologies and the dynamics&#xd;
of diversity production were analyzed by various statistical methods,&#xd;
based on genotypic and phenotypic distance metrics. The results&#xd;
demonstrate that diversity can spontaneously emerge in a community&#xd;
of mutually interacting individuals under the influence of specific&#xd;
environmental conditions.</dc:description>
   <dc:description>This research&#xd;
was partially supported by a grant for the GENEX project (P09-TIC-5123) from the Consejería de&#xd;
Innovación y Ciencia de Andalucía. J.D.F. was supported by a FPU grant from the Spanish Ministerio&#xd;
de Educación. R.D. wishes to thank the Région Ile-de-France for supporting his research position at&#xd;
the Complex Systems Institute, Paris Ile-de-France.</dc:description>
   <dc:date>2013-12-02T10:59:02Z</dc:date>
   <dc:date>2013-12-02T10:59:02Z</dc:date>
   <dc:date>2012</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>Fernandez JD, Lobo D, Martin G, Doursat R &amp; Vico FJ (2012) Emergent diversity in an open-ended evolving virtual community. Artificial Life, 18(2), pp. 199-222. (http://www.mitpressjournals.org/loi/artl)</dc:identifier>
   <dc:identifier>DOI:10.1162/artl_a_00059</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10630/6707</dc:identifier>
   <dc:language>spa</dc:language>
   <dc:rights>open access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>MIT Press</dc:publisher>
</oai_dc:dc>
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