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A theoretical foundation for multi-scale regular vegetation patterns

Overview of attention for article published in Nature, 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
82 news outlets
blogs
19 blogs
twitter
107 X users
facebook
9 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
1 Google+ user
reddit
4 Redditors
video
1 YouTube creator

Readers on

mendeley
363 Mendeley
citeulike
1 CiteULike
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Article details
Title
A theoretical foundation for multi-scale regular vegetation patterns
Published in
Nature, January 2017
DOI 10.1038/nature20801
Pubmed ID
Authors
Abstract

Self-organized regular vegetation patterns are widespread and thought to mediate ecosystem functions such as productivity and robustness, but the mechanisms underlying their origin and maintenance remain disputed. Particularly controversial are landscapes of overdispersed (evenly spaced) elements, such as North American Mima mounds, Brazilian murundus, South African heuweltjies, and, famously, Namibian fairy circles. Two competing hypotheses are currently debated. On the one hand, models of scale-dependent feedbacks, whereby plants facilitate neighbours while competing with distant individuals, can reproduce various regular patterns identified in satellite imagery. Owing to deep theoretical roots and apparent generality, scale-dependent feedbacks are widely viewed as a unifying and near-universal principle of regular-pattern formation despite scant empirical evidence. On the other hand, many overdispersed vegetation patterns worldwide have been attributed to subterranean ecosystem engineers such as termites, ants, and rodents. Although potentially consistent with territorial competition, this interpretation has been challenged theoretically and empirically and (unlike scale-dependent feedbacks) lacks a unifying dynamical theory, fuelling scepticism about its plausibility and generality. Here we provide a general theoretical foundation for self-organization of social-insect colonies, validated using data from four continents, which demonstrates that intraspecific competition between territorial animals can generate the large-scale hexagonal regularity of these patterns. However, this mechanism is not mutually exclusive with scale-dependent feedbacks. Using Namib Desert fairy circles as a case study, we present field data showing that these landscapes exhibit multi-scale patterning-previously undocumented in this system-that cannot be explained by either mechanism in isolation. These multi-scale patterns and other emergent properties, such as enhanced resistance to and recovery from drought, instead arise from dynamic interactions in our theoretical framework, which couples both mechanisms. The potentially global extent of animal-induced regularity in vegetation-which can modulate other patterning processes in functionally important ways-emphasizes the need to integrate multiple mechanisms of ecological self-organization.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 107 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 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 3 <1%
United States 3 <1%
Spain 2 <1%
Germany 2 <1%
Taiwan 1 <1%
Japan 1 <1%
Israel 1 <1%
France 1 <1%
Finland 1 <1%
Other 2 <1%
Unknown 346 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 95 26%
Researcher 63 17%
Student > Master 44 12%
Student > Bachelor 22 6%
Student > Doctoral Student 21 6%
Other 54 15%
Unknown 64 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 93 26%
Environmental Science 65 18%
Earth and Planetary Sciences 25 7%
Physics and Astronomy 20 6%
Biochemistry, Genetics and Molecular Biology 16 4%
Other 54 15%
Unknown 90 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 803. 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 24 May 2026.
All research outputs
#29,710
of 34,554,170 outputs
Outputs from Nature
#2,468
of 117,908 outputs
Outputs of similar age
#492
of 466,728 outputs
Outputs of similar age from Nature
#42
of 830 outputs
Altmetric has tracked 34,554,170 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 117,908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.0. This one has done particularly well, scoring higher than 97% 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 466,728 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 99% of its contemporaries.
We're also able to compare this research output to 830 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.