Symmetric assembly and disassembly processes in an ecological network.
Identifieur interne : 000929 ( Main/Corpus ); précédent : 000928; suivant : 000930Symmetric assembly and disassembly processes in an ecological network.
Auteurs : Jason M. Tylianakis ; Laura B. Martínez-García ; Sarah J. Richardson ; Duane A. Peltzer ; Ian A. DickieSource :
- Ecology letters [ 1461-0248 ] ; 2018.
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- KwdEn :
- MESH :
Abstract
The processes whereby ecological networks emerge, persist and decay throughout ecosystem development are largely unknown. Here we study networks of plant and arbuscular mycorrhizal fungal (AMF) communities along a 120 000 year soil chronosequence, as they undergo assembly (progression) and then disassembly (retrogression). We found that network assembly and disassembly were symmetrical, self-reinforcing processes that together were capable of generating key attributes of network architecture. Plant and AMF species that had short indirect paths to others in the community (i.e. high centrality), rather than many direct interaction partners (i.e. high degree), were best able to attract new interaction partners and, in the case of AMF species, also to retain existing interactions with plants during retrogression. We then show using simulations that these non-random patterns of attachment and detachment promote nestedness of the network. These results have implications for predicting extinction sequences, identifying focal points for invasions and suggesting trajectories for restoration.
DOI: 10.1111/ele.12957
PubMed: 29611321
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pubmed:29611321Le document en format XML
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<author><name sortKey="Tylianakis, Jason M" sort="Tylianakis, Jason M" uniqKey="Tylianakis J" first="Jason M" last="Tylianakis">Jason M. Tylianakis</name>
<affiliation><nlm:affiliation>Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand.</nlm:affiliation>
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<affiliation><nlm:affiliation>Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, SL5 7PY, UK.</nlm:affiliation>
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<affiliation><nlm:affiliation>Bio-protection Research Centre, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand.</nlm:affiliation>
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<author><name sortKey="Martinez Garcia, Laura B" sort="Martinez Garcia, Laura B" uniqKey="Martinez Garcia L" first="Laura B" last="Martínez-García">Laura B. Martínez-García</name>
<affiliation><nlm:affiliation>Landcare Research, PO Box 69040, Lincoln, 7640, New Zealand.</nlm:affiliation>
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<affiliation><nlm:affiliation>Department of Soil Quality, Wageningen University, P.O. Box 47, Wageningen, 6700 AA, The Netherlands.</nlm:affiliation>
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<author><name sortKey="Richardson, Sarah J" sort="Richardson, Sarah J" uniqKey="Richardson S" first="Sarah J" last="Richardson">Sarah J. Richardson</name>
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<author><name sortKey="Peltzer, Duane A" sort="Peltzer, Duane A" uniqKey="Peltzer D" first="Duane A" last="Peltzer">Duane A. Peltzer</name>
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<author><name sortKey="Dickie, Ian A" sort="Dickie, Ian A" uniqKey="Dickie I" first="Ian A" last="Dickie">Ian A. Dickie</name>
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<author><name sortKey="Tylianakis, Jason M" sort="Tylianakis, Jason M" uniqKey="Tylianakis J" first="Jason M" last="Tylianakis">Jason M. Tylianakis</name>
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<author><name sortKey="Richardson, Sarah J" sort="Richardson, Sarah J" uniqKey="Richardson S" first="Sarah J" last="Richardson">Sarah J. Richardson</name>
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<author><name sortKey="Peltzer, Duane A" sort="Peltzer, Duane A" uniqKey="Peltzer D" first="Duane A" last="Peltzer">Duane A. Peltzer</name>
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<series><title level="j">Ecology letters</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ecology (MeSH)</term>
<term>Ecosystem (MeSH)</term>
<term>Mycorrhizae (MeSH)</term>
<term>Plant Roots (MeSH)</term>
<term>Plants (MeSH)</term>
<term>Soil Microbiology (MeSH)</term>
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<keywords scheme="MESH" xml:lang="en"><term>Ecology</term>
<term>Ecosystem</term>
<term>Mycorrhizae</term>
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<front><div type="abstract" xml:lang="en">The processes whereby ecological networks emerge, persist and decay throughout ecosystem development are largely unknown. Here we study networks of plant and arbuscular mycorrhizal fungal (AMF) communities along a 120 000 year soil chronosequence, as they undergo assembly (progression) and then disassembly (retrogression). We found that network assembly and disassembly were symmetrical, self-reinforcing processes that together were capable of generating key attributes of network architecture. Plant and AMF species that had short indirect paths to others in the community (i.e. high centrality), rather than many direct interaction partners (i.e. high degree), were best able to attract new interaction partners and, in the case of AMF species, also to retain existing interactions with plants during retrogression. We then show using simulations that these non-random patterns of attachment and detachment promote nestedness of the network. These results have implications for predicting extinction sequences, identifying focal points for invasions and suggesting trajectories for restoration.</div>
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<Title>Ecology letters</Title>
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<ArticleTitle>Symmetric assembly and disassembly processes in an ecological network.</ArticleTitle>
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<Abstract><AbstractText>The processes whereby ecological networks emerge, persist and decay throughout ecosystem development are largely unknown. Here we study networks of plant and arbuscular mycorrhizal fungal (AMF) communities along a 120 000 year soil chronosequence, as they undergo assembly (progression) and then disassembly (retrogression). We found that network assembly and disassembly were symmetrical, self-reinforcing processes that together were capable of generating key attributes of network architecture. Plant and AMF species that had short indirect paths to others in the community (i.e. high centrality), rather than many direct interaction partners (i.e. high degree), were best able to attract new interaction partners and, in the case of AMF species, also to retain existing interactions with plants during retrogression. We then show using simulations that these non-random patterns of attachment and detachment promote nestedness of the network. These results have implications for predicting extinction sequences, identifying focal points for invasions and suggesting trajectories for restoration.</AbstractText>
<CopyrightInformation>© 2018 John Wiley & Sons Ltd/CNRS.</CopyrightInformation>
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<AffiliationInfo><Affiliation>Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, SL5 7PY, UK.</Affiliation>
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<AffiliationInfo><Affiliation>Bio-protection Research Centre, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand.</Affiliation>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Community assembly</Keyword>
<Keyword MajorTopicYN="Y">ecosystem development</Keyword>
<Keyword MajorTopicYN="Y">mutualist network</Keyword>
<Keyword MajorTopicYN="Y">mycorrhizal symbiosis</Keyword>
<Keyword MajorTopicYN="Y">preferential attachment</Keyword>
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