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Representation of Ecological Systems within the Protected Areas Network of the Continental United States

Overview of attention for article published in PLOS ONE, January 2013
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3 X users
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1 Facebook page

Citations

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103 Dimensions

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135 Mendeley
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Title
Representation of Ecological Systems within the Protected Areas Network of the Continental United States
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054689
Pubmed ID
Authors

Jocelyn L. Aycrigg, Anne Davidson, Leona K. Svancara, Kevin J. Gergely, Alexa McKerrow, J. Michael Scott

Abstract

If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations and moderate to high productivity soils. We used national-level data for ecological systems and a protected areas database to explore alternative ways we might be able to increase representation of ecological systems within the continental US. By following one or more of these alternatives it may be possible to increase the representation of ecological systems in the protected areas network both quantitatively (from 10% up to 39%) and geographically and come closer to meeting the suggested Convention on Biological Diversity target of 17% for terrestrial areas. We used the Landscape Conservation Cooperative framework for regional analysis and found that increased conservation on some private and public lands may be important to the conservation of ecological systems in Western US, while increased public-private partnerships may be important in the conservation of ecological systems in Eastern US. We have not assessed the pros and cons of following the national or regional alternatives, but rather present them as possibilities that may be considered and evaluated as decisions are made to increase the representation of ecological systems in the protected areas network across their range of ecological, geographical, and geophysical occurrence in the continental US into the future.

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Italy 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
China 1 <1%
Mexico 1 <1%
Unknown 126 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 25%
Student > Ph. D. Student 24 18%
Student > Master 23 17%
Other 15 11%
Student > Bachelor 7 5%
Other 16 12%
Unknown 16 12%
Readers by discipline Count As %
Environmental Science 44 33%
Agricultural and Biological Sciences 44 33%
Social Sciences 9 7%
Earth and Planetary Sciences 5 4%
Psychology 3 2%
Other 8 6%
Unknown 22 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 May 2013.
All research outputs
#13,175,336
of 23,577,761 outputs
Outputs from PLOS ONE
#105,720
of 202,084 outputs
Outputs of similar age
#153,611
of 284,493 outputs
Outputs of similar age from PLOS ONE
#2,382
of 5,017 outputs
Altmetric has tracked 23,577,761 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 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 46th percentile – i.e., 46% 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 284,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,017 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.