2012
DOI: 10.1007/s10530-012-0220-2
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Shrub management is the principal driver of differing population sizes between native and invasive populations of Rosa rubiginosa L.

Abstract: An essential step in understanding biological invasions is the comparison of species' performance in the native and introduced ranges, especially for longlived woody exotics. We explored causes for the higher density and abundance of invasive Rosa rubiginosa L. populations by comparing plant performance and habitat attributes in both ranges. Native shrubs in Spain and Germany were, on average, taller than introduced shrubs in Central and Southern Argentina. Inside 100 m 2 plots rose-cover in Spain and Germany … Show more

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Cited by 12 publications
(22 citation statements)
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References 75 publications
(78 reference statements)
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“…The Ideal Weed and Disturbance Hypotheses ( Table 1) partly explain the invasion success of R. rubiginosa in Argentina 31, 35, 36 . However, the Enemy Release Hypothesis failed to explain abundance patterns – natural enemies appeared equally harmful to the species in the native and introduced ranges 31 ( Table 1).…”
Section: Case Study On An Invasive Rosementioning
confidence: 97%
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“…The Ideal Weed and Disturbance Hypotheses ( Table 1) partly explain the invasion success of R. rubiginosa in Argentina 31, 35, 36 . However, the Enemy Release Hypothesis failed to explain abundance patterns – natural enemies appeared equally harmful to the species in the native and introduced ranges 31 ( Table 1).…”
Section: Case Study On An Invasive Rosementioning
confidence: 97%
“…First, we synthesize previous cross-continental case studies that compared plant performance between invasive populations in Central and Southern Argentina with native populations in Spain and Germany (for more details see Zimmermann et al , 2012) 31 . Second, we compare climatic conditions as well as land use and human population density between invasive and native R. rubiginosa populations at a global scale.…”
Section: Case Study On An Invasive Rosementioning
confidence: 99%
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