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Human usage in the native range may determine future genetic structure of an invasion: insights from Acacia pycnantha

Overview of attention for article published in BMC Ecology and Evolution, October 2013
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Title
Human usage in the native range may determine future genetic structure of an invasion: insights from Acacia pycnantha
Published in
BMC Ecology and Evolution, October 2013
DOI 10.1186/1472-6785-13-37
Pubmed ID
Authors

Johannes J Le Roux, David M Richardson, John RU Wilson, Joice Ndlovu

Abstract

The influence of introduction history and post-introduction dynamics on genetic diversity and structure has been a major research focus in invasion biology. However, genetic diversity and structure in the invasive range can also be affected by human-mediated processes in the native range prior to species introductions, an aspect often neglected in invasion biology. Here we aim to trace the native provenance of the invasive tree Acacia pycnantha by comparing the genetic diversity and structure between populations in the native Australian range and the invasive range in South Africa. This approach also allowed us to explore how human actions altered genetic structure before and after the introduction of A. pycnantha into South Africa. We hypothesized that extensive movement and replanting in A. pycnantha's Australian range prior to its introduction to South Africa might result in highly admixed genotypes in the introduced range, comparable genetic diversity in both ranges, and therefore preclude an accurate determination of native provenance(s) of invasive populations.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Master 8 19%
Student > Postgraduate 4 10%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 48%
Environmental Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Social Sciences 2 5%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2013.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#3,511
of 3,714 outputs
Outputs of similar age
#194,929
of 219,838 outputs
Outputs of similar age from BMC Ecology and Evolution
#75
of 77 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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