Evidence map›Paper›PMID 41055984›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Causes and consequences of disordered hyperuniformity in global drylands.

Wensi Hu, Lijuan Cui, Manuel Delgado-Baquerizo, Ricard Solé, Sonia Kéfi, Miguel Berdugo, Nuo Xu, Bo Wang, Quan-Xing Liu, Chi Xu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Causes and consequences of disordered hyperuniformity in global drylands.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

10 authors.

Wensi Hu *School of Life Sciences, Nanjing University, Nanjing 210023, China.
Lijuan Cui *State Key Laboratory of Wetland Conservation and Restoration, Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China.
Manuel Delgado-BaquerizoLaboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superior de Investigaciones Científicas, Seville 41012, Spain.ORCID 0000-0002-6499-576X
Ricard SoléCatalan Institution for Research and Advanced Studies-Complex Systems Lab, Universitat Pompeu Fabra, Barcelona 08003, Spain.ORCID 0000-0001-6974-1008
Sonia KéfiInstitut des Sciences de l'Evolution de Montpellier, CNRS, Univ. de Montpellier, Institut de recherche pour le développement, Montpellier 34095, France.ORCID 0000-0002-9678-7770
Miguel BerdugoDepartmento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, Madrid 28040, Spain.ORCID 0000-0003-1053-8907
Nuo XuSchool of Life Sciences, Nanjing University, Nanjing 210023, China.
Bo WangKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.ORCID 0000-0003-1194-291X
Quan-Xing LiuSchool of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-8602-0154
Chi XuSchool of Life Sciences, Nanjing University, Nanjing 210023, China.ORCID 0000-0002-1841-9032

Funding

EC | NextGenerationEU (NGEU) TED2021-130908B-C41/AEI/10.13039/501100011033/Unión EuropeaGansu Provincial Science and Technology Planning Project No. 23ZDFA018Ministerio de Ciencia e Innovación (MCIN) IÂ + Â DÂ +Â i project PID2020-115813RA-I00MOST | National Key Research and Development Program of China (NKPs) 2022YFF1301000MOST | National Key Research and Development Program of China (NKPs) 2022YFF1303301MOST | National Natural Science Foundation of China (NSFC) U24A20178Postdoctoral Fellowship Program and China Postdoctoral Science Foundation BX20250081
6 · The paper itself

Abstract

Self-organization of individual organisms at a very small scale may result in recognizable functional ecosystem structures at a larger spatial scale. Drylands, which cover almost half of emerged lands, host some of the most remarkable vegetation patterns on Earth, including "disordered hyperuniformity," a recently defined class of such emergent self-organization structures. Yet, the extent, causes, and consequences of disordered hyperuniform vegetation patterns in drylands remain virtually unknown. Here, we analyzed high-resolution remote sensing images of 425 spot-like drylands across the globe and found that disordered hyperuniformity shapes vegetation patterns in about one out of ten drylands, with the distribution of plants appearing to be "disordered" to the naked eye, but supporting highly recognizable (uniform) patterns at larger scales (

Indexed as

Desert ClimateEcosystemModels, TheoreticalPlantsRemote Sensing Technologydrylandplant–plant interactionself-organizationspatial patternwater stress

Identifiers

PMID41055984
PMCPMC12541334

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.