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Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?

Overview of attention for article published in Global Change Biology, October 2013
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Article details
Title
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?
Published in
Global Change Biology, October 2013
DOI 10.1111/gcb.12370
Pubmed ID
Authors
Abstract

Invasions have increased the size of regional species pools, but are typically assumed to reduce native diversity. However, global-scale tests of this assumption have been elusive because of the focus on exotic species richness, rather than relative abundance. This is problematic because low invader richness can indicate invasion resistance by the native community or, alternatively, dominance by a single exotic species. Here, we used a globally replicated study to quantify relationships between exotic richness and abundance in grass-dominated ecosystems in 13 countries on six continents, ranging from salt marshes to alpine tundra. We tested effects of human land use, native community diversity, herbivore pressure, and nutrient limitation on exotic plant dominance. Despite its widespread use, exotic richness was a poor proxy for exotic dominance at low exotic richness, because sites that contained few exotic species ranged from relatively pristine (low exotic richness and cover) to almost completely exotic-dominated ones (low exotic richness but high exotic cover). Both exotic cover and richness were predicted by native plant diversity (native grass richness) and land use (distance to cultivation). Although climate was important for predicting both exotic cover and richness, climatic factors predicting cover (precipitation variability) differed from those predicting richness (maximum temperature and mean temperature in the wettest quarter). Herbivory and nutrient limitation did not predict exotic richness or cover. Exotic dominance was greatest in areas with low native grass richness at the site- or regional-scale. Although this could reflect native grass displacement, a lack of biotic resistance is a more likely explanation, given that grasses comprise the most aggressive invaders. These findings underscore the need to move beyond richness as a surrogate for the extent of invasion, because this metric confounds monodominance with invasion resistance. Monitoring species' relative abundance will more rapidly advance our understanding of invasions.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 2%
South Africa 2 <1%
Switzerland 2 <1%
Brazil 2 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Czechia 1 <1%
Argentina 1 <1%
Unknown 298 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 72 23%
Researcher 68 22%
Student > Master 37 12%
Student > Bachelor 24 8%
Student > Doctoral Student 21 7%
Other 47 15%
Unknown 44 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 158 50%
Environmental Science 80 26%
Earth and Planetary Sciences 14 4%
Computer Science 3 <1%
Biochemistry, Genetics and Molecular Biology 2 <1%
Other 7 2%
Unknown 49 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 November 2014.
All research outputs
#17,929,553
of 30,017,478 outputs
Outputs from Global Change Biology
#6,516
of 7,552 outputs
Outputs of similar age
#133,403
of 233,469 outputs
Outputs of similar age from Global Change Biology
#64
of 81 outputs
Altmetric has tracked 30,017,478 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.6. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 233,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.