Evidence map›Paper›PMID 37783692›Full record

ArticleNature communications2023

Sustainably developing global blue carbon for climate change mitigation and economic benefits through international cooperation.

Cuicui Feng, Guanqiong Ye, Jiangning Zeng, Jian Zeng, Qutu Jiang, Liuyue He, Yaowen Zhang, Zhenci Xu

Abstract read
In one paragraph

Article in Nature communications, 2023. 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

8 authors.

Cuicui Feng *Ocean College, Zhejiang University, Zhoushan, China.ORCID http://orcid.org/0000-0001-7728-0942
Guanqiong Ye *Ocean College, Zhejiang University, Zhoushan, China. gqy@zju.edu.cn.ORCID http://orcid.org/0000-0002-2063-5068
Jiangning ZengKey Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China.
Jian ZengZhejiang Institute of Hydraulics & Estuary, Hangzhou, China.
Qutu JiangDepartment of Geography, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-8771-8557
Liuyue HeOcean College, Zhejiang University, Zhoushan, China.
Yaowen ZhangOcean College, Zhejiang University, Zhoushan, China.
Zhenci XuDepartment of Geography, The University of Hong Kong, Hong Kong, China. xuzhenci@hku.hk.ORCID http://orcid.org/0000-0003-4123-077X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blue carbon is the carbon storage in vegetated coastal ecosystems such as mangroves, salt marshes, and seagrass. It is gaining global attention as its role in climate change mitigation and local welfare growth. However, a global assessment on the long-term spatiotemporal sustainable development status of blue carbon has not been conducted, and the relations among blue carbon ecosystems, driving forces for climate change mitigation, and socioeconomic interventions for development capacity on a global scale are still unclear. Here, we constructed a blue carbon development index (BCDI), comprising three subsystems: driving force, resource endowment, and development capacity, to assess the sustainable development level of 136 coastal countries' blue carbon over 24 consecutive years and explore the relationship among subsystems. We further propose a cooperation model to explore the feasibility of global blue carbon cooperation and quantify benefit allocation to specific countries. The results showed an upward trend in BCDI scores with variations in regional performance over the past two decades, and we found a positive correlation between development capacity and blue carbon resource endowment. Based on the scenario simulations of global cooperation, we found that coastal countries could improve the global average BCDI score, add 2.96 Mt of annual carbon sequestration, and generate $136.34 million in 2030 under Global Deep Cooperation scenario compared with the Business-As-Usual scenario.

Identifiers

PMID37783692
PMCPMC10545692

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Registered trials

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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.