<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1d3 20150301//EN" "http://jats.nlm.nih.gov/publishing/1.1d3/JATS-journalpublishing1.dtd">
<article article-type="other" dtd-version="1.1d3" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS Comput Biol</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">ploscomp</journal-id>
<journal-title-group>
<journal-title>PLoS Computational Biology</journal-title>
</journal-title-group>
<issn pub-type="epub">1553-7358</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/image.pcbi.v21.i05</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Issue Image</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Ecology</subject><subj-group><subject>Ecosystems</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Ecology and environmental sciences</subject><subj-group><subject>Ecology</subject><subj-group><subject>Ecosystems</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Computer and information sciences</subject><subj-group><subject>Systems science</subject><subj-group><subject>System stability</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Physical sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Systems science</subject><subj-group><subject>System stability</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Physical sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Statistics</subject><subj-group><subject>Statistical theories</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Ecology</subject><subj-group><subject>Biodiversity</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Ecology and environmental sciences</subject><subj-group><subject>Ecology</subject><subj-group><subject>Biodiversity</subject></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title><italic>PLoS Computational Biology</italic> Issue Image | Vol. 21(5) June 2025</article-title>
<alt-title alt-title-type="running-head">Issue Image</alt-title>
</title-group>
<pub-date pub-type="collection">
<month>6</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>10</day>
<month>6</month>
<year>2025</year>
</pub-date>
<volume>21</volume>
<issue>5</issue>
<elocation-id>ev21.i05</elocation-id>
<permissions>
<copyright-year>2025</copyright-year>
<license><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license>
</permissions>
<abstract>
<title><bold>Computational complexity in a random ecosystem</bold></title>
<p>Ecosystems consist of diverse mixtures of cooperating and competing species, which cause these systems to take a long time to reach stable equilibrium states. Here, we borrow tools from computational complexity theory to frame complex ecosystems as optimization problems, and we derive scaling laws for the time that it takes ecosystems to equilibrate. This image shows transient chaos in a model ecosystem, in which the equilibration time strongly varies as the initial species densities change. <ext-link ext-link-type="uri" xlink:href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013051">Gilpin et al. 2025</ext-link></p>
<p><italic>Image Credit: William Gilpin</italic></p>
</abstract>
</article-meta>
</front>
<body>
<sec id="s1">
<title/>
<fig id="image-pcbi-v21-i05-g001">
<object-id pub-id-type="doi">10.1371/image.pcbi.v21.i05.g001</object-id>
<caption>
<title><bold>Computational complexity in a random ecosystem</bold></title>
<p>Ecosystems consist of diverse mixtures of cooperating and competing species, which cause these systems to take a long time to reach stable equilibrium states. Here, we borrow tools from computational complexity theory to frame complex ecosystems as optimization problems, and we derive scaling laws for the time that it takes ecosystems to equilibrate. This image shows transient chaos in a model ecosystem, in which the equilibration time strongly varies as the initial species densities change. <ext-link ext-link-type="uri" xlink:href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013051">Gilpin et al. 2025</ext-link></p>
<p><italic>Image Credit: William Gilpin</italic></p>
</caption>
<graphic xlink:href="info:doi/10.1371/image.pcbi.v21.i05.g001"/>
<permissions>
<copyright-year>2025</copyright-year>
<license><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license>
</permissions>
</fig>
</sec>
</body>
</article>