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Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands

Overview of attention for article published in Nature Ecology & Evolution, January 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
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Readers on

mendeley
251 Mendeley
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Article details
Title
Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands
Published in
Nature Ecology & Evolution, January 2017
DOI 10.1038/s41559-016-0003
Pubmed ID
Authors
Abstract

The response of drylands to environmental gradients can be abrupt rather than gradual. These shifts largely occur unannounced and are difficult to reverse once they happen; their prompt detection is of crucial importance. The distribution of vegetation patch sizes may indicate the proximity to these shifts, but the use of this metric is hampered by a lack of large-scale studies relating these distributions to the provision of multiple ecosystem functions (multifunctionality) and comparing them to other ecosystem attributes, such as total plant cover. Here we sampled 115 dryland ecosystems across the globe and related their vegetation attributes (cover and patch size distributions) to multifunctionality. Multifunctionality followed a bimodal distribution across our sites, suggesting alternative states in the functioning of drylands. Although plant cover was the strongest predictor of multifunctionality when linear analyses were used, only patch size distributions reflected the bimodal distribution of multifunctionality observed. Differences in the coupling between nutrient cycles and in the importance of self-organizing biotic processes characterized the two multifunctionality states observed. Our findings support the use of vegetation patterns as indicators of ecosystem functioning in drylands and pave the way for developing effective strategies to monitor desertification processes.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 250 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 56 22%
Researcher 40 16%
Student > Master 21 8%
Student > Bachelor 16 6%
Student > Doctoral Student 10 4%
Other 37 15%
Unknown 71 28%
Readers by discipline
Readers by discipline Count As %
Environmental Science 74 29%
Agricultural and Biological Sciences 47 19%
Earth and Planetary Sciences 15 6%
Engineering 6 2%
Mathematics 4 2%
Other 15 6%
Unknown 90 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 14 February 2018.
All research outputs
#1,346,559
of 32,439,039 outputs
Outputs from Nature Ecology & Evolution
#1,519
of 2,729 outputs
Outputs of similar age
#21,870
of 451,948 outputs
Outputs of similar age from Nature Ecology & Evolution
#51
of 73 outputs
Altmetric has tracked 32,439,039 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 132.8. This one is in the 44th percentile – i.e., 44% 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 451,948 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 95% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.