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dc.contributor.authorSimmons, BI
dc.contributor.authorWauchope, HS
dc.contributor.authorAmano, T
dc.contributor.authorDicks, LV
dc.contributor.authorSutherland, WJ
dc.contributor.authorDakos, V
dc.date.accessioned2020-09-14T15:05:16Z
dc.date.issued2020-08-31
dc.description.abstractInteractions between species generate the functions on which ecosystems and humans depend. However, we lack an understanding of the risk that interaction loss poses to ecological communities. Here, we quantify the risk of interaction loss for 4,330 species interactions from 41 empirical pollination and seed dispersal networks across 6 continents. We estimate risk as a function of interaction vulnerability to extinction (likelihood of loss) and contribution to network feasibility, a measure of how much an interaction helps a community tolerate environmental perturbations. Remarkably, we find that more vulnerable interactions have higher contributions to network feasibility. Furthermore, interactions tend to have more similar vulnerability and contribution to feasibility across networks than expected by chance, suggesting that vulnerability and feasibility contribution may be intrinsic properties of interactions, rather than only a function of ecological context. These results may provide a starting point for prioritising interactions for conservation in species interaction networks in the future.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipRoyal Commission for the Exhibition of 1851en_GB
dc.description.sponsorshipCambridge Trusten_GB
dc.description.sponsorshipCambridge Department of Zoologyen_GB
dc.description.sponsorshipGrantham Foundation for the Protection of the Environmenten_GB
dc.description.sponsorshipKenneth Miller Trusten_GB
dc.description.sponsorshipAustralian Research Council (ARC)en_GB
dc.description.sponsorshipArcadiaen_GB
dc.identifier.citationVol. 18 (8), article e3000843en_GB
dc.identifier.doi10.1371/journal.pbio.3000843
dc.identifier.grantnumberNE/L002507/1en_GB
dc.identifier.grantnumberT180100354en_GB
dc.identifier.grantnumberNE/K015419/1en_GB
dc.identifier.grantnumberNE/N014472/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/122862
dc.language.isoenen_GB
dc.publisherPublic Library of Science (PLoS)en_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/32866143en_GB
dc.rights© 2020 Simmons et al. 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.en_GB
dc.titleEstimating the risk of species interaction loss in mutualistic communitiesen_GB
dc.typeArticleen_GB
dc.date.available2020-09-14T15:05:16Z
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionThis is the final version. Available on open access from the Public Library of Science via the DOI in this recorden_GB
dc.descriptionData Availability: All networks are publicly available from the Web of Life repository (www.web-of-life.es) and Data Dryad (https://doi.org/10.5061/dryad.76173). The raw data for S5 Analysis can be found at https://doi.org/10.5061/dryad.dncjsxkw2. The data underlying all plots except Figure A in S3 Analysis can be found at https://doi.org/10.6084/m9.figshare.12689258.v1. The data underlying Figure A in S3 Analysis can be found at https://doi.org/10.5061/dryad.cr3ften_GB
dc.identifier.eissn1545-7885
dc.identifier.journalPLoS Biologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-07-31
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-08-31
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-09-14T15:00:17Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-14T15:05:22Z
refterms.panelAen_GB


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© 2020 Simmons et al. 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.
Except where otherwise noted, this item's licence is described as © 2020 Simmons et al. 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.