↓ Skip to main content

Modeling Hawaiian Ecosystem Degradation due to Invasive Plants under Current and Future Climates

Overview of attention for article published in PLOS ONE, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
16 X users
facebook
3 Facebook pages

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
82 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modeling Hawaiian Ecosystem Degradation due to Invasive Plants under Current and Future Climates
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0095427
Pubmed ID
Authors

Adam E. Vorsino, Lucas B. Fortini, Fred A. Amidon, Stephen E. Miller, James D. Jacobi, Jonathan P. Price, Sam 'Ohukani'ohi'a Gon, Gregory A. Koob

Abstract

Occupation of native ecosystems by invasive plant species alters their structure and/or function. In Hawaii, a subset of introduced plants is regarded as extremely harmful due to competitive ability, ecosystem modification, and biogeochemical habitat degradation. By controlling this subset of highly invasive ecosystem modifiers, conservation managers could significantly reduce native ecosystem degradation. To assess the invasibility of vulnerable native ecosystems, we selected a proxy subset of these invasive plants and developed robust ensemble species distribution models to define their respective potential distributions. The combinations of all species models using both binary and continuous habitat suitability projections resulted in estimates of species richness and diversity that were subsequently used to define an invasibility metric. The invasibility metric was defined from species distribution models with <0.7 niche overlap (Warrens I) and relatively discriminative distributions (Area Under the Curve >0.8; True Skill Statistic >0.75) as evaluated per species. Invasibility was further projected onto a 2100 Hawaii regional climate change scenario to assess the change in potential habitat degradation. The distribution defined by the invasibility metric delineates areas of known and potential invasibility under current climate conditions and, when projected into the future, estimates potential reductions in native ecosystem extent due to climate-driven invasive incursion. We have provided the code used to develop these metrics to facilitate their wider use (Code S1). This work will help determine the vulnerability of native-dominated ecosystems to the combined threats of climate change and invasive species, and thus help prioritize ecosystem and species management actions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Researcher 17 21%
Student > Bachelor 9 11%
Student > Master 7 9%
Student > Postgraduate 3 4%
Other 3 4%
Unknown 20 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 33%
Environmental Science 22 27%
Earth and Planetary Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 1 1%
Business, Management and Accounting 1 1%
Other 6 7%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 September 2023.
All research outputs
#2,956,291
of 24,469,913 outputs
Outputs from PLOS ONE
#37,248
of 211,248 outputs
Outputs of similar age
#28,992
of 232,215 outputs
Outputs of similar age from PLOS ONE
#818
of 4,720 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 82% of its peers.
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 232,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4,720 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.