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dc.contributor.authorJelbert, K
dc.contributor.authorBuss, D
dc.contributor.authorMcDonald, J
dc.contributor.authorTownley, S
dc.contributor.authorFranco, M
dc.contributor.authorStott, I
dc.contributor.authorJones, O
dc.contributor.authorSalguero Gomez, R
dc.contributor.authorBuckley, Y
dc.contributor.authorKnight, T
dc.contributor.authorSilk, M
dc.contributor.authorSargent, F
dc.contributor.authorRolph, S
dc.contributor.authorWilson, P
dc.contributor.authorHodgson, D
dc.date.accessioned2019-11-28T11:45:11Z
dc.date.issued2019-12-06
dc.description.abstractInvasive plant species threaten native biodiversity, ecosystems, agriculture, industry and human health worldwide, lending urgency to the search for predictors of plant invasiveness outside native ranges. There is much conflicting evidence about which plant characteristics best predict invasiveness. Here we use a global demographic survey for over 700 plant species to show that populations of invasive plants have better potential to recover from disturbance than non-invasives, even when measured in the native range. Invasives have high stable population growth rates in their invaded ranges, but this metric cannot be predicted based on measurements in the native ranges. Recovery from demographic disturbance is a measure of transient population amplification, linked to high levels of reproduction, and shows phylogenetic signal. Our results demonstrate that transient population dynamics and reproductive capacity can help to predict invasiveness across the plant kingdom, and should guide international policy on trade and movement of plants.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 10, article 5602en_GB
dc.identifier.doi10.1038/s41467-019-13556-w
dc.identifier.grantnumberNE/L007770/1en_GB
dc.identifier.grantnumberNE/N006798/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39862
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.compadre-db.org/en_GB
dc.rights© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/
dc.titleDemographic amplification is a predictor of invasiveness among plantsen_GB
dc.typeArticleen_GB
dc.date.available2019-11-28T11:45:11Z
dc.identifier.issn2041-1723
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData Availability: All data used for analyses are provided in online supplementary materials, alongside code for analysis. The COMPADRE database11 is published online https://www.compadre-db.org/. All data are available from authors on request.en_GB
dc.identifier.journalNature Communicationsen_GB
dc.rights.urihttp://creativecommons.org/ licenses/by/4.0/en_GB
dcterms.dateAccepted2019-10-31
exeter.funder::Natural Environment Research Council (NERC)en_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-10-31
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-11-28T08:55:06Z
refterms.versionFCDAM
refterms.dateFOA2020-02-19T15:40:46Z
refterms.panelAen_GB


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© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article’s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/