Evidence map›Paper›PMID 41971831›Full record

ArticleFundamental research2026

Understand systemic risk from mangrove ecosystem through network analysis.

Mimi Gong, Ke Yu, Qiang Huang, Yinglan A, Miriam Aczel, Ye Li, Maofang Ran, Yan Cheng, Kaiji Li, Shen Qu

Abstract read
In one paragraph

Article in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mimi GongAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.
Ke YuCenter for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
Qiang HuangCenter for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
Yinglan AAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.
Miriam AczelInstitute for Water, Environment and Health, United Nations University, Richmond Hill, L4B 3P4 Ontario, Canada.
Ye LiCenter for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
Maofang RanAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.
Yan ChengAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.
Kaiji LiAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.
Shen QuCenter for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangrove deforestation amplifies systemic risks by worsening extreme weather events, impeding socio-economic development, and exposing governance vulnerabilities. Yet, the extent to which mangrove dynamics-both loss and restoration-interact with climate, socio-economic, and governance systems to mitigate systemic risk remains underexplored. Drawing on the economic concept of "product space," we construct a Mangrove Multisystemic Risk Space, a network-based framework linking indicators across mangrove change, climate impacts, socio-economic development, and policy interventions. The network reveals a bipartite structure, with distinct clusters for mangrove loss and expansion, each surrounded by synergistic indicators. The mangrove loss cluster is tightly coupled with greenhouse gas emissions and climate extremes, while the expansion cluster aligns with renewable energy, economic growth, and population dynamics. Within this space, we identify two types of structurally significant indicators: "influential" (e.g., Ramsar site coverage) with high cascading potential, and "complex" indicators that require coordinated improvements across multiple dimensions, highlighting their systemic vulnerability. At the national level, the United States leads in achieving complex goals such as reducing extreme events, whereas New Zealand and Panama emerge as hubs of influential, well-performing indicators. These findings underscore the differentiated roles of mangrove-rich nations in mitigating systemic risk and call for strengthened global cooperation in mangrove conservation.

Indexed as

Cascading effectsComplex network analysisMangrove ecosystemsMultidimensional evaluationSystemic risk

Identifiers

PMID41971831
PMCPMC13069846

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.