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Different Traits Determine Introduction, Naturalization and Invasion Success In Woody Plants: Proteaceae as a Test Case

Overview of attention for article published in PLOS ONE, September 2013
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Title
Different Traits Determine Introduction, Naturalization and Invasion Success In Woody Plants: Proteaceae as a Test Case
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0075078
Pubmed ID
Authors

Desika Moodley, Sjirk Geerts, David M. Richardson, John R. U. Wilson

Abstract

A major aim of invasion ecology is to identify characteristics of successful invaders. However, most plant groups studied in detail (e.g. pines and acacias) have a high percentage of invasive taxa. Here we examine the global introduction history and invasion ecology of Proteaceae--a large plant family with many taxa that have been widely disseminated by humans, but with few known invaders. To do this we compiled a global list of species and used boosted regression tree models to assess which factors are important in determining the status of a species (not introduced, introduced, naturalized or invasive). At least 402 of 1674 known species (24%) have been moved by humans out of their native ranges, 58 species (14%) have become naturalized but not invasive, and 8 species (2%) are invasive. The probability of naturalization was greatest for species with large native ranges, low susceptibility to Phytophthora root-rot fungus, large mammal-dispersed seeds, and with the capacity to resprout. The probability of naturalized species becoming invasive was greatest for species with large native ranges, those used as barrier plants, tall species, species with small seeds, and serotinous species. The traits driving invasiveness of Proteaceae were similar to those for acacias and pines. However, while some traits showed a consistent influence at introduction, naturalization and invasion, others appear to be influential at one stage only, and some have contrasting effects at different stages. Trait-based analyses therefore need to consider different invasion stages separately. On their own, these observations provide little predictive power for risk assessment, but when the causative mechanisms are understood (e.g. Phytophthora susceptibility) they provide valuable insights. As such there is considerable value in seeking the correlates and mechanisms underlying invasions for particular taxonomic or functional groups.

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Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
South Africa 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 128 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Student > Ph. D. Student 21 16%
Researcher 19 14%
Student > Bachelor 17 13%
Student > Doctoral Student 10 7%
Other 29 21%
Unknown 16 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 44%
Environmental Science 41 30%
Earth and Planetary Sciences 4 3%
Biochemistry, Genetics and Molecular Biology 2 1%
Computer Science 2 1%
Other 6 4%
Unknown 20 15%