Life-history correlates of plant invasiveness at regional and continental scales

Hamilton, MA; Murray, BR; Cadotte, MW; Hose, GC; Baker, AC; Harris, CJ; Licari, D

Life-history correlates of plant invasiveness at regional and continental scales

Hamilton, MA Murray, BR

Cadotte, MW Hose, GC

Baker, AC Harris, CJ Licari, D

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Publication Type:: Journal Article
Citation:: Ecology Letters, 2005, 8 (10), pp. 1066 - 1074
Issue Date:: 2005-10-01

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Field	Value	Language
dc.contributor.author	Hamilton, MA	en_US
dc.contributor.author	Murray, BR https://orcid.org/0000-0002-4734-5976	en_US
dc.contributor.author	Cadotte, MW	en_US
dc.contributor.author	Hose, GC https://orcid.org/0000-0003-2106-5543	en_US
dc.contributor.author	Baker, AC	en_US
dc.contributor.author	Harris, CJ	en_US
dc.contributor.author	Licari, D	en_US
dc.date.issued	2005-10-01	en_US
dc.identifier.citation	Ecology Letters, 2005, 8 (10), pp. 1066 - 1074	en_US
dc.identifier.issn	1461-023X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3781
dc.description.abstract	We implemented cross-species and independent-contrasts multiple regression models to compare life-history correlates of invasion success between regional and continental spatial scales among non-native plants of eastern Australia. We focussed on three life-history traits that represent major axes of variation in plant life history: specific leaf area (SLA), plant height and seed mass. After controlling for residence time and cross-correlation with other life-history traits, small seed mass was significantly and uniquely correlated with invasion success at continental and regional scales. High SLA was significantly and uniquely correlated with invasion success at the continental scale only. Plant height could not explain unique variation in invasion success at either spatial scale. Variation among spatial scales in the significance and strength of life-history relationships with invasion success suggests that the search for predictive tools of invasion need not be fruitless, as long as predictive investigations are targeted at appropriate spatial scales. ©2005 Blackwell Publishing Ltd/CNRS.	en_US
dc.relation.ispartof	Ecology Letters	en_US
dc.relation.isbasedon	10.1111/j.1461-0248.2005.00809.x	en_US
dc.subject.classification	Ecology	en_US
dc.title	Life-history correlates of plant invasiveness at regional and continental scales	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	8	en_US
utslib.for	060208 Terrestrial Ecology	en_US
utslib.for	0501 Ecological Applications	en_US
utslib.for	0602 Ecology	en_US
utslib.for	0603 Evolutionary Biology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Resources)
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	8	en_US

Abstract:

We implemented cross-species and independent-contrasts multiple regression models to compare life-history correlates of invasion success between regional and continental spatial scales among non-native plants of eastern Australia. We focussed on three life-history traits that represent major axes of variation in plant life history: specific leaf area (SLA), plant height and seed mass. After controlling for residence time and cross-correlation with other life-history traits, small seed mass was significantly and uniquely correlated with invasion success at continental and regional scales. High SLA was significantly and uniquely correlated with invasion success at the continental scale only. Plant height could not explain unique variation in invasion success at either spatial scale. Variation among spatial scales in the significance and strength of life-history relationships with invasion success suggests that the search for predictive tools of invasion need not be fruitless, as long as predictive investigations are targeted at appropriate spatial scales. ©2005 Blackwell Publishing Ltd/CNRS.

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http://hdl.handle.net/10453/3781