↓ Skip to main content

Mapping the Drivers of Climate Change Vulnerability for Australia’s Threatened Species

Overview of attention for article published in PLOS ONE, May 2015
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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
32 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
103 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
Mapping the Drivers of Climate Change Vulnerability for Australia’s Threatened Species
Published in
PLOS ONE, May 2015
DOI 10.1371/journal.pone.0124766
Pubmed ID
Authors

Jasmine R. Lee, Ramona Maggini, Martin F. J. Taylor, Richard A. Fuller

Abstract

Effective conservation management for climate adaptation rests on understanding the factors driving species' vulnerability in a spatially explicit manner so as to direct on-ground action. However, there have been only few attempts to map the spatial distribution of the factors driving vulnerability to climate change. Here we conduct a species-level assessment of climate change vulnerability for a sample of Australia's threatened species and map the distribution of species affected by each factor driving climate change vulnerability across the continent. Almost half of the threatened species assessed were considered vulnerable to the impacts of climate change: amphibians being the most vulnerable group, followed by plants, reptiles, mammals and birds. Species with more restricted distributions were more likely to show high climate change vulnerability than widespread species. The main factors driving climate change vulnerability were low genetic variation, dependence on a particular disturbance regime and reliance on a particular moisture regime or habitat. The geographic distribution of the species impacted by each driver varies markedly across the continent, for example species impacted by low genetic variation are prevalent across the human-dominated south-east of the country, while reliance on particular moisture regimes is prevalent across northern Australia. Our results show that actions to address climate adaptation will need to be spatially appropriate, and that in some regions a complex suite of factors driving climate change vulnerability will need to be addressed. Taxonomic and geographic variation in the factors driving climate change vulnerability highlights an urgent need for a spatial prioritisation of climate adaptation actions for threatened species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 3%
Australia 2 2%
Finland 1 <1%
United States 1 <1%
Unknown 96 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 17 17%
Student > Master 13 13%
Student > Bachelor 13 13%
Student > Doctoral Student 6 6%
Other 15 15%
Unknown 20 19%
Readers by discipline Count As %
Environmental Science 39 38%
Agricultural and Biological Sciences 29 28%
Social Sciences 4 4%
Engineering 2 2%
Veterinary Science and Veterinary Medicine 1 <1%
Other 7 7%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 01 February 2016.
All research outputs
#1,990,074
of 25,097,836 outputs
Outputs from PLOS ONE
#24,506
of 217,801 outputs
Outputs of similar age
#24,691
of 272,224 outputs
Outputs of similar age from PLOS ONE
#708
of 6,859 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 88% 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 272,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 6,859 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.