Evidence map›Paper›PMID 39516472›Full record

ArticleNature communications2024

Anomalous scaling of branching tidal networks in global coastal wetlands and mudflats.

Fan Xu, Zeng Zhou, Sergio Fagherazzi, Andrea D'Alpaos, Ian Townend, Kun Zhao, Weiming Xie, Leicheng Guo, Xianye Wang, Zhong Peng and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. 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. 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

15 authors.

Fan XuState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0001-5820-4717
Zeng ZhouThe National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China. zeng.zhou@hhu.edu.cn.ORCID http://orcid.org/0000-0002-4745-1621
Sergio FagherazziDepartment of Earth and Environment, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4048-5968
Andrea D'AlpaosDepartment of Geosciences, University of Padova, Padova, Italy.ORCID http://orcid.org/0000-0003-1172-8278
Ian TownendSchool of Ocean and Earth Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0003-2101-3858
Kun ZhaoThe National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China.ORCID http://orcid.org/0000-0001-9259-8182
Weiming XieState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Leicheng GuoState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0002-1261-2536
Xianye WangState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Zhong PengState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Zhicheng YangDepartment of Marine Sciences, University of Georgia, Athens, GA, 30602, USA.
Chunpeng ChenState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Guangcheng ChengState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0001-6825-5411
Yuan XuState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China. yuanxu@sklec.ecnu.edu.cn.ORCID http://orcid.org/0000-0001-6004-8119
Qing HeState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42361144873National Natural Science Foundation of China (National Science Foundation of China) 42376161National Natural Science Foundation of China (National Science Foundation of China) 42376168National Natural Science Foundation of China (National Science Foundation of China) U2040216
6 · The paper itself

Abstract

Branching networks are key elements in natural landscapes and have attracted sustained research interest across the geosciences and numerous intersecting fields. The prevailing consensus has long held that branching networks are optimized and exhibit fractal properties adhering to power-law scaling relationships. However, tidal networks in coastal wetlands and mudflats exhibit scaling properties that defy conventional power-law descriptions, presenting a longstanding enigma. Here we show that the observed atypical scaling represents a universal deviation from an ideal fractal branching network capable of fully occupying the available space. Using satellite imagery of tidal networks from diverse global locations, we identified an inherent "laziness" in this deviation-where the increased ease of channel formation paradoxically decreases the space-filling efficiency of the network. We developed a theoretical model that reproduces the ideal fractal branching network and the laziness phenomenon. The model suggests that branching networks can emerge under a localized competition principle without adhering to conventionally assumed optimization-driven processes. These results reveal the dual nature of branching networks, where "laziness" complements the well-known optimization process. This property provides more flexible strategies for controlling tidal network morphogenesis, with implications for coastal management, wetland restoration, and studies in fluvial and planetary systems.

Identifiers

PMID39516472
PMCPMC11549412

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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.