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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
64 X users

Citations

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168 Dimensions

Readers on

mendeley
217 Mendeley
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

Miguel Berdugo, Sonia Kéfi, Santiago Soliveres, Fernando T. Maestre

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 216 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 25%
Researcher 35 16%
Student > Master 17 8%
Student > Bachelor 15 7%
Student > Postgraduate 8 4%
Other 27 12%
Unknown 60 28%
Readers by discipline Count As %
Environmental Science 64 29%
Agricultural and Biological Sciences 40 18%
Earth and Planetary Sciences 15 7%
Engineering 5 2%
Mathematics 3 1%
Other 13 6%
Unknown 77 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 2020.
All research outputs
#805,133
of 24,037,774 outputs
Outputs from Nature Ecology & Evolution
#1,134
of 1,946 outputs
Outputs of similar age
#18,170
of 428,186 outputs
Outputs of similar age from Nature Ecology & Evolution
#51
of 73 outputs
Altmetric has tracked 24,037,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 153.5. This one is in the 41st percentile – i.e., 41% 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 428,186 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.