dc.contributor.author | Hui, C | |
dc.contributor.author | Richardson, DM | |
dc.contributor.author | Robertson, MP | |
dc.contributor.author | Wilson, JRU | |
dc.contributor.author | Yates, CJ | |
dc.date.accessioned | 2011-10-03T09:35:09Z | |
dc.date.available | 2011-10-03T09:35:09Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Hui, C., Richardson, D.M., Robertson, M.P., Wilson, J.R.U. & Yates, C.J. (2011) Macroecology meets invasion ecology: linking the native distributions of Australian acacias to invasiveness. Diversity and Distributions, 17: 872-883. | en |
dc.identifier.issn | 1366-9516 | en |
dc.identifier.uri | http://hdl.handle.net/123456789/955 | |
dc.description.abstract | Aim Species’ native ranges reflect the net outcome of interactions between lifehistory
strategies and biotic and abiotic influences over evolutionary time-scales.
Differences in native ranges might be indicative both of relative historical
performance and adaptability to new conditions. Consequently, the native ranges
of successful invaders might have distinctive biogeographical characteristics. We
test this hypothesis by (1) quantifying macroecological patterns of the entire
assemblage of native taxa in Acacia subgenus Phyllodineae in Australia, (2) testing
whether highly invasive taxa represent random samples from the patterns
observed for the assemblage as a whole and (3) exploring the link between native
geographical range and the position of species along the introductionnaturalization-
invasion continuum.
Location Australia and worldwide.
Methods Three distributional metrics representing particular biogeographical
characteristics of species’ native ranges – the logarithms of range size, percolation
intercept and percolation exponent – were calculated by fitting a revised alpha
hull to records from Australia’s Virtual Herbarium. Randomization and cascaded
tests were used to compare these metrics for species at different stages of invasion.
Results The macroecological patterns of the three distributional metrics
displayed lognormal-like frequency distributions. Most invasive species had
significantly lower percolation exponents and larger native ranges than expected
from random draws from the entire assemblage of Australian acacias, but
percolation intercepts were not significantly different. This can be explained by a
selection bias at the early stages of invasion.
Main conclusions The outcome of the natural experiment of transplanting many
Australian acacias into novel environments is not random. While invasive species
have a particular macroecological pattern, this can be explained by the
observation that species with large native ranges and low percolation exponents
(i.e. high population increase rate) are most likely to have been introduced and
naturalized. Whether this pattern is an artefact of human selection or reflects a
human bias towards selecting invasive species remains to be seen. | en |
dc.description.sponsorship | Data on Australian Acacia species records are used with
permission of the Council of Heads of Australian Herbaria, the
custodian of Australia’s Virtual Herbarium. We acknowledge
financial support from the DST-NRF Centre of Excellence for
Invasion Biology and the Working for Water Programme
through their collaborative project on ‘Research for Integrated
Management of Invasive Alien Species’. The Oppenheimer
Memorial Trust and Stellenbosch University funded the
October 2010 Acacia workshop in Stellenbosch at which a
preliminary version of this paper was presented. C.H. is
supported by the NRF Blue Sky Programme and Subcommittee
B fund at Stellenbosch University. | en |
dc.format.extent | 737176 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.subject | native geographical range | en |
dc.subject | spatial scales | en |
dc.subject | species range size distribution | en |
dc.subject | wattles | en |
dc.title | Macroecology meets invasion ecology: linking the native distributions of Australian acacias to invasiveness | en |
dc.type | JournalArticles | en |
dc.cibjournal | Diversity and Distributions | en |
dc.cibproject | Large-scale patterns in diversity | en |