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dc.contributor.authorDeng, Jie
dc.contributor.authorTaylor, Washington
dc.contributor.authorSaavedra, Serguei
dc.date.accessioned2022-11-18T18:18:39Z
dc.date.available2022-11-18T18:18:39Z
dc.date.issued2022-10
dc.identifier.urihttps://hdl.handle.net/1721.1/146544
dc.description.abstract<jats:p>The persistence of virtually every single species depends on both the presence of other species and the specific environmental conditions in a given location. Because in natural settings many of these conditions are unknown, research has been centered on finding the fraction of possible conditions (probability) leading to species coexistence. The focus has been on the persistence probability of an entire multispecies community (formed of either two or more species). However, the methodological and philosophical question has always been whether we can observe the entire community and, if not, what the conditions are under which an observed subset of the community can persist as part of a larger multispecies system. Here, we derive long-term (using analytical calculations) and short-term (using simulations and experimental data) system-level indicators of the effect of third-party species on the coexistence probability of a pair (or subset) of species under unknown environmental conditions. We demonstrate that the fraction of conditions incompatible with the possible coexistence of a pair of species tends to become vanishingly small within systems of increasing numbers of species. Yet, the probability of pairwise coexistence in isolation remains approximately the expected probability of pairwise coexistence in more diverse assemblages. In addition, we found that when third-party species tend to reduce (resp. increase) the coexistence probability of a pair, they tend to exhibit slower (resp. faster) rates of competitive exclusion. Long-term and short-term effects of the remaining third-party species on all possible specific pairs in a system are not equally distributed, but these differences can be mapped and anticipated under environmental uncertainty.</jats:p>en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/journal.pcbi.1010630en_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.titleUnderstanding the impact of third-party species on pairwise coexistenceen_US
dc.typeArticleen_US
dc.identifier.citationDeng, Jie, Taylor, Washington and Saavedra, Serguei. 2022. "Understanding the impact of third-party species on pairwise coexistence." PLOS Computational Biology, 18 (10).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Theoretical Physicsen_US
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.updated2022-11-18T18:11:14Z
dspace.orderedauthorsDeng, J; Taylor, W; Saavedra, Sen_US
dspace.date.submission2022-11-18T18:11:15Z
mit.journal.volume18en_US
mit.journal.issue10en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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