Causes and consequences of disordered hyperuniformity in global drylands

W Wensi Hu (School of Life Sciences, Nanjing University) L 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) M Manuel Delgado-Baquerizo (Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superiorde Investigaciones Científicas,) R Ricard Solé (Institució Catalana de Recerca i Estudis Avançats-Complex Systems Lab) S Sonia Kéfi (Institut des Sciences de l'Evolution de Montpellier, CNRS, Univ. de Montpellier, Institut de recherche pour le développement) M Miguel Berdugo (Departmento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid) N Nuo Xu (The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Institute of Polymer Chemistry, College of Chemistry) B Bo Wang Q Quan-Xing Liu (School of Mathematical Sciences, Shanghai Jiao Tong University) C Chi Xu (Department of Dental Implant Center, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, No. 9 Fanjiacun Road, Fengtai District, Beijing 100070, China)

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 ( ca. 50 to 500 m). Using mathematical models, we identify three potential mechanisms that can generate disordered hyperuniform vegetation patterns. These mechanisms are not limited to the well-studied Turing patterns and represent key general processes with respect to plant–plant or plant–sediment interactions. Further modeling indicates that disordered hyperuniformity enhances ecosystem functioning in terms of water retention use, and expands the range of aridity conditions under which the system can maintain itself, but may slow recovery of vegetation structure from disturbances. In a wider context, we also show that disordered hyperuniformity is likely to pertain to diverse dryland systems, such as termite-mound or fairy-circle landscapes. Our findings highlight that exploring disordered hyperuniformity of vegetation pattern of drylands (and potentially other large-scale systems) offers insights into the organization and resilience of ecosystems globally.

Article Details

Volume / Issue Vol. 122, Issue 41
Published October 14, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (10)

W

Wensi Hu

School of Life Sciences, Nanjing University

L

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

M

Manuel Delgado-Baquerizo

Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superiorde Investigaciones Científicas,

R

Ricard Solé

Institució Catalana de Recerca i Estudis Avançats-Complex Systems Lab

S

Sonia Kéfi

Institut des Sciences de l'Evolution de Montpellier, CNRS, Univ. de Montpellier, Institut de recherche pour le développement

M

Miguel Berdugo

Departmento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid

N

Nuo Xu

The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Institute of Polymer Chemistry, College of Chemistry

B

Bo Wang

Q

Quan-Xing Liu

School of Mathematical Sciences, Shanghai Jiao Tong University

C

Chi Xu

Department of Dental Implant Center, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, No. 9 Fanjiacun Road, Fengtai District, Beijing 100070, China