Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system
Although numerous studies show that communities are jointly influenced by predation and competitive interactions, few have resolved how temporal variability in these interactions influences community assembly and stability. Here, we addressed this challenge in experimental microbial microcosms by em...
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Veröffentlicht in: | Ecology letters 2020-06, Vol.23 (6), p.983-993 |
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description | Although numerous studies show that communities are jointly influenced by predation and competitive interactions, few have resolved how temporal variability in these interactions influences community assembly and stability. Here, we addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools to: (1) detect causal interactions between prey species in the absence and presence of a predator; (2) quantify the time‐varying strength of these interactions and (3) explore stability in the resulting communities. Our findings show that predators boost the number of causal interactions among community members, and lead to reduced dynamic stability, but higher coexistence among prey species. These results correspond to time‐varying changes in species interactions, including emergence of morphological characteristics that appeared to reduce predation, and indirectly facilitate growth of predator‐susceptible species. Jointly, our findings suggest that careful consideration of both context and time may be necessary to predict and explain outcomes in multi‐trophic systems.
Few studies have resolved how temporal variability in species interactions influences community assembly and stability. We addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools. Our work provides evidence that the temporal dynamics of species in response to predation and competition can be highly variable, suggesting both context and time resolution may be necessary to understand the stability of multi‐trophic systems. |
doi_str_mv | 10.1111/ele.13500 |
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Few studies have resolved how temporal variability in species interactions influences community assembly and stability. We addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools. Our work provides evidence that the temporal dynamics of species in response to predation and competition can be highly variable, suggesting both context and time resolution may be necessary to understand the stability of multi‐trophic systems.</description><identifier>ISSN: 1461-023X</identifier><identifier>EISSN: 1461-0248</identifier><identifier>DOI: 10.1111/ele.13500</identifier><identifier>PMID: 32243074</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Animals ; Causality ; Coexistence ; diversity ; Dynamic models ; Dynamic stability ; EDMhelper ; empirical dynamic modelling ; Food Chain ; Microcosms ; Microorganisms ; Physical characteristics ; Predation ; Predators ; Predatory Behavior ; predator–prey interactions ; Prey ; Species ; Species diversity ; stability ; Time dependence</subject><ispartof>Ecology letters, 2020-06, Vol.23 (6), p.983-993</ispartof><rights>2020 The Authors. published by CNRS and John Wiley & Sons Ltd.</rights><rights>2020 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4540-d0c195c946e5a37b431e265095f9258e950606f63038b592bcb8c9190a3a35fe3</citedby><cites>FETCH-LOGICAL-c4540-d0c195c946e5a37b431e265095f9258e950606f63038b592bcb8c9190a3a35fe3</cites><orcidid>0000-0002-3921-3535</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fele.13500$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fele.13500$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32243074$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Blasius, Bernd</contributor><creatorcontrib>Karakoç, Canan</creatorcontrib><creatorcontrib>Clark, Adam Thomas</creatorcontrib><creatorcontrib>Chatzinotas, Antonis</creatorcontrib><creatorcontrib>Blasius, Bernd</creatorcontrib><title>Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system</title><title>Ecology letters</title><addtitle>Ecol Lett</addtitle><description>Although numerous studies show that communities are jointly influenced by predation and competitive interactions, few have resolved how temporal variability in these interactions influences community assembly and stability. Here, we addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools to: (1) detect causal interactions between prey species in the absence and presence of a predator; (2) quantify the time‐varying strength of these interactions and (3) explore stability in the resulting communities. Our findings show that predators boost the number of causal interactions among community members, and lead to reduced dynamic stability, but higher coexistence among prey species. These results correspond to time‐varying changes in species interactions, including emergence of morphological characteristics that appeared to reduce predation, and indirectly facilitate growth of predator‐susceptible species. Jointly, our findings suggest that careful consideration of both context and time may be necessary to predict and explain outcomes in multi‐trophic systems.
Few studies have resolved how temporal variability in species interactions influences community assembly and stability. We addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools. 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Clark, Adam Thomas ; Chatzinotas, Antonis ; Blasius, Bernd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4540-d0c195c946e5a37b431e265095f9258e950606f63038b592bcb8c9190a3a35fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animals</topic><topic>Causality</topic><topic>Coexistence</topic><topic>diversity</topic><topic>Dynamic models</topic><topic>Dynamic stability</topic><topic>EDMhelper</topic><topic>empirical dynamic modelling</topic><topic>Food Chain</topic><topic>Microcosms</topic><topic>Microorganisms</topic><topic>Physical characteristics</topic><topic>Predation</topic><topic>Predators</topic><topic>Predatory Behavior</topic><topic>predator–prey interactions</topic><topic>Prey</topic><topic>Species</topic><topic>Species diversity</topic><topic>stability</topic><topic>Time dependence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karakoç, Canan</creatorcontrib><creatorcontrib>Clark, Adam Thomas</creatorcontrib><creatorcontrib>Chatzinotas, Antonis</creatorcontrib><creatorcontrib>Blasius, Bernd</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Ecology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karakoç, Canan</au><au>Clark, Adam Thomas</au><au>Chatzinotas, Antonis</au><au>Blasius, Bernd</au><au>Blasius, Bernd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system</atitle><jtitle>Ecology letters</jtitle><addtitle>Ecol Lett</addtitle><date>2020-06</date><risdate>2020</risdate><volume>23</volume><issue>6</issue><spage>983</spage><epage>993</epage><pages>983-993</pages><issn>1461-023X</issn><eissn>1461-0248</eissn><abstract>Although numerous studies show that communities are jointly influenced by predation and competitive interactions, few have resolved how temporal variability in these interactions influences community assembly and stability. 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Few studies have resolved how temporal variability in species interactions influences community assembly and stability. We addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools. Our work provides evidence that the temporal dynamics of species in response to predation and competition can be highly variable, suggesting both context and time resolution may be necessary to understand the stability of multi‐trophic systems.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>32243074</pmid><doi>10.1111/ele.13500</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3921-3535</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Causality Coexistence diversity Dynamic models Dynamic stability EDMhelper empirical dynamic modelling Food Chain Microcosms Microorganisms Physical characteristics Predation Predators Predatory Behavior predator–prey interactions Prey Species Species diversity stability Time dependence |
title | Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system |
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