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dc.contributor.authorSong, Chuliang
dc.contributor.authorSaavedra, Serguei
dc.date.accessioned2021-10-21T14:41:10Z
dc.date.available2021-10-21T14:41:10Z
dc.date.issued2020-04
dc.date.submitted2019-09
dc.identifier.issn1553-734X
dc.identifier.issn1553-7358
dc.identifier.urihttps://hdl.handle.net/1721.1/133068
dc.description.abstract© 2020 Song, Saavedra. 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. The network architecture of an ecological community describes the structure of species interactions established in a given place and time. It has been suggested that this architecture presents unique features for each type of ecological interaction: e.g., nested and modular architectures would correspond to mutualistic and antagonistic interactions, respectively. Recently, Michalska-Smith and Allesina (2019) proposed a computational challenge to test whether it is indeed possible to differentiate ecological interactions based on network architecture. Contrary to the expectation, they found that this differentiation is practically impossible, moving the question to why it is not possible to differentiate ecological interactions based on their network architecture alone. Here, we show that this differentiation becomes possible by adding the local environmental information where the networks were sampled. We show that this can be explained by the fact that environmental conditions are a con-founder of ecological interactions and network architecture. That is, the lack of association between network architecture and type of ecological interactions changes by conditioning on the local environmental conditions. Additionally, we find that environmental conditions are linked to the stability of ecological networks, but the direction of this effect depends on the type of interaction network. This suggests that the association between ecological interactions and network architectures exists, but cannot be fully understood without attention to the environmental conditions acting upon them.en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/JOURNAL.PCBI.1007787en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleTelling ecological networks apart by their structure: An environment-dependent approachen_US
dc.typeArticleen_US
dc.identifier.citationSong C, Saavedra S (2020) Telling ecological networks apart by their structure: An environment-dependent approach. PLoS Comput Biol 16(4)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.relation.journalPLoS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-10-20T17:11:28Z
dspace.orderedauthorsSong, C; Saavedra, Sen_US
dspace.date.submission2021-10-20T17:11:29Z
mit.journal.volume16en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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