<rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <rdf:Description rdf:about="https://doi.org/10.1111/nph.19572">
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    <dct:isReferencedBy>Publikationer fr&#229;n Stockholms universitet</dct:isReferencedBy>
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    <dct:references>https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.19572</dct:references>
    <dct:references>https://doi.org/10.1111/nph.19572</dct:references>
    <dcat:downloadURL rdf:resource="https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.19572"/>
    <dct:isPartOf>New Phytologist</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2024-02-12</dct:created>
    <dc:description>Summary&lt;p&gt;   &lt;p&gt;A large fraction of plant litter comprises recalcitrant aromatic compounds (lignin and other phenolics). Quantifying the fate of aromatic compounds is difficult, because oxidative degradation of aromatic carbon (C) is a costly but necessary endeavor for microorganisms, and we do not know when gains from the decomposition of aromatic C outweigh energetic costs.&lt;/p&gt;  &lt;p&gt;To evaluate these tradeoffs, we developed a litter decomposition model in which the aromatic C decomposition rate is optimized dynamically to maximize microbial growth for the given costs of maintaining ligninolytic activity. We tested model performance against &amp;gt;&#65506;&#65408;&#65417;200 litter decomposition datasets collected from published literature and assessed the effects of climate and litter chemistry on litter decomposition.&lt;/p&gt;  &lt;p&gt;The model predicted a time&#65506;&#65408;&#65424;varying ligninolytic oxidation rate, which was used to calculate the lag time before the decomposition of aromatic C is initiated. Warmer conditions increased decomposition rates, shortened the lag time of aromatic C oxidation, and improved microbial C&#65506;&#65408;&#65424;use efficiency by decreasing the costs of oxidation. Moreover, a higher initial content of aromatic C promoted an earlier start of aromatic C decomposition under any climate.&lt;/p&gt;  &lt;p&gt;With this contribution, we highlight the application of eco&#65506;&#65408;&#65424;evolutionary approaches based on optimized microbial life strategies as an alternative parametrization scheme for litter decomposition models.&lt;/p&gt;  &lt;/p</dc:description>
    <dc:subject>0106 biological sciences</dc:subject>
    <dc:subject>Naturgeografi</dc:subject>
    <dc:subject>aromatic</dc:subject>
    <dc:subject>Climate</dc:subject>
    <dc:subject>lignin</dc:subject>
    <dc:subject>metabolic tradeoff</dc:subject>
    <dc:subject>litter decomposition</dc:subject>
    <dc:subject>04 agricultural and veterinary sciences</dc:subject>
    <dc:subject>Plants</dc:subject>
    <dc:subject>15. Life on land</dc:subject>
    <dc:subject>eco-evolutionary dynamics</dc:subject>
    <dc:subject>Lignin</dc:subject>
    <dc:subject>Models, Biological</dc:subject>
    <dc:subject>01 natural sciences</dc:subject>
    <dc:subject>Carbon</dc:subject>
    <dc:subject>Plant Leaves</dc:subject>
    <dc:subject>optimal control</dc:subject>
    <dc:subject>Biodegradation, Environmental</dc:subject>
    <dc:subject>Physical Geography</dc:subject>
    <dc:subject>13. Climate action</dc:subject>
    <dc:subject>0401 agriculture, forestry, and fisheries</dc:subject>
    <dc:subject>Oxidation-Reduction</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-4572-4347"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-3384-4547"/>
    <dc:creator>Chakrawal, Arjun, Lindahl, Bj&#246;rn D., Manzoni, Stefano, </dc:creator>
    <dc:date>2024-02-11</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>Summary&lt;p&gt;   &lt;p&gt;A large fraction of plant litter comprises recalcitrant aromatic compounds (lignin and other phenolics). Quantifying the fate of aromatic compounds is difficult, because oxidative degradation of aromatic carbon (C) is a costly but necessary endeavor for microorganisms, and we do not know when gains from the decomposition of aromatic C outweigh energetic costs.&lt;/p&gt;  &lt;p&gt;To evaluate these tradeoffs, we developed a litter decomposition model in which the aromatic C decomposition rate is optimized dynamically to maximize microbial growth for the given costs of maintaining ligninolytic activity. We tested model performance against &amp;gt;&#65506;&#65408;&#65417;200 litter decomposition datasets collected from published literature and assessed the effects of climate and litter chemistry on litter decomposition.&lt;/p&gt;  &lt;p&gt;The model predicted a time&#65506;&#65408;&#65424;varying ligninolytic oxidation rate, which was used to calculate the lag time before the decomposition of aromatic C is initiated. Warmer conditions increased decomposition rates, shortened the lag time of aromatic C oxidation, and improved microbial C&#65506;&#65408;&#65424;use efficiency by decreasing the costs of oxidation. Moreover, a higher initial content of aromatic C promoted an earlier start of aromatic C decomposition under any climate.&lt;/p&gt;  &lt;p&gt;With this contribution, we highlight the application of eco&#65506;&#65408;&#65424;evolutionary approaches based on optimized microbial life strategies as an alternative parametrization scheme for litter decomposition models.&lt;/p&gt;  &lt;/p</dct:abstract>
    <dc:title>Modelling optimal ligninolytic activity during plant litter decomposition</dc:title>
    <dc:identifier>10.1111/nph.19572</dc:identifier>
    <dct:relation>101001608</dct:relation>
  </rdf:Description>
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