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Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass

Overview of attention for article published in Ecological Applications, May 2017
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

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4 tweeters

Citations

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18 Dimensions

Readers on

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67 Mendeley
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Title
Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass
Published in
Ecological Applications, May 2017
DOI 10.1002/eap.1535
Pubmed ID
Authors

Joseph P. Ceradini, Anna D. Chalfoun

Abstract

Invasive plants can negatively affect native species, however, the strength, direction, and shape of responses may vary depending on the type of habitat alteration and the natural history of native species. To prioritize conservation of vulnerable species, it is therefore critical to effectively predict species' responses to invasive plants, which may be facilitated by a framework based on species' traits. We studied the population and community responses of small mammals and changes in habitat heterogeneity across a gradient of cheatgrass (Bromus tectorum) cover, a widespread invasive plant in North America. We live-trapped small mammals over two summers and assessed the effect of cheatgrass on native small mammal abundance, richness, and species-specific and trait-based occupancy, while accounting for detection probability and other key habitat elements. Abundance was only estimated for the most common species, deer mice (Peromyscus maniculatus). All species were pooled for the trait-based occupancy analysis to quantify the ability of small mammal traits (habitat association, mode of locomotion, and diet) to predict responses to cheatgrass invasion. Habitat heterogeneity decreased with cheatgrass cover. Deer mouse abundance increased marginally with cheatgrass. Species richness did not vary with cheatgrass, however, pocket mouse (Perognathus spp.) and harvest mouse (Reithrodontomys spp.) occupancy tended to decrease and increase, respectively, with cheatgrass cover, suggesting a shift in community composition. Cheatgrass had little effect on occupancy for deer mice, 13-lined ground squirrels (Spermophilus tridecemlineatus), and Ord's kangaroo rat (Dipodomys ordii). Species' responses to cheatgrass primarily corresponded with our a priori predictions based on species' traits. The probability of occupancy varied significantly with a species' habitat association but not with diet or mode of locomotion. When considered within the context of a rapid habitat change, such as caused by invasive plants, relevant species' traits may provide a useful framework for predicting species' responses to a variety of habitat disturbances. Understanding which species are likely to be most affected by exotic plant invasion will help facilitate more efficient, targeted management and conservation of native species and habitats. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
United States 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Student > Master 14 21%
Researcher 10 15%
Student > Bachelor 7 10%
Other 5 7%
Other 5 7%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 66%
Environmental Science 9 13%
Veterinary Science and Veterinary Medicine 1 1%
Nursing and Health Professions 1 1%
Business, Management and Accounting 1 1%
Other 0 0%
Unknown 11 16%

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 30 May 2017.
All research outputs
#10,503,528
of 18,812,015 outputs
Outputs from Ecological Applications
#2,203
of 3,002 outputs
Outputs of similar age
#125,995
of 275,464 outputs
Outputs of similar age from Ecological Applications
#39
of 52 outputs
Altmetric has tracked 18,812,015 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 26th percentile – i.e., 26% 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 275,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.