Evidence map›Paper›PMID 30305423›Full record

ArticleJournal of the Royal Society, Interface2018

A topographic mechanism for arcing of dryland vegetation bands.

Punit Gandhi, Lucien Werner, Sarah Iams, Karna Gowda, Mary Silber

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 46 citations in OpenAlex.

  1. How spatial patterns can lead to less resilient ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Ecogeographic Study ofPlants (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Phenotypic plasticity: A missing element in the theory of vegetation pattern formation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Modern perspectives on near-equilibrium analysis of Turing systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

Punit GandhiMathematical Biosciences Institute, Ohio State University, Columbus, OH 43210, USA gandhi.138@mbi.osu.edu.ORCID 0000-0002-0527-5244
Lucien WernerDepartment of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Sarah IamsJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Karna GowdaDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0001-6812-4745
Mary SilberCommittee on Computational and Applied Mathematics and Department of Statistics,University of Chicago, Chicago, IL 60637, USA.
California Institute of Technology · USHarvard University · USThe Ohio State University · USUniversity of Chicago · USUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Banded patterns consisting of alternating bare soil and dense vegetation have been observed in water-limited ecosystems across the globe, often appearing along gently sloped terrain with the stripes aligned transverse to the elevation gradient. In many cases, these vegetation bands are arced, with field observations suggesting a link between the orientation of arcing relative to the grade and the curvature of the underlying terrain. We modify the water transport in the Klausmeier model of water-biomass interactions, originally posed on a uniform hillslope, to qualitatively capture the influence of terrain curvature on the vegetation patterns. Numerical simulations of this modified model indicate that the vegetation bands arc convex-downslope when growing on top of a ridge, and convex-upslope when growing in a valley. This behaviour is consistent with observations from remote sensing data that we present here. Model simulations show further that whether bands grow on ridges, valleys or both depends on the precipitation level. A survey of three banded vegetation sites, each with a different aridity level, indicates qualitatively similar behaviour.

Indexed as

EcosystemModels, BiologicalPlantsComputer SimulationDemographyWaterWaterdryland ecologyearly warning signspattern formationreaction–advection–diffusionspatial ecologyvegetation patterns

Identifiers

PMID30305423
PMCPMC6228493
OpenAlexW2880514884

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.