Evidence map›Paper›PMID 38822036›Full record

ArticleNature communications2024

Global biogeography of microbes driving ocean ecological status under climate change.

Zhenyan Zhang, Qi Zhang, Bingfeng Chen, Yitian Yu, Tingzhang Wang, Nuohan Xu, Xiaoji Fan, Josep Penuelas, Zhengwei Fu, Ye Deng and 2 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  9. One Health, One Microbiome.Microbiome · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

12 authors.

Zhenyan Zhang *College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.ORCID http://orcid.org/0000-0002-9122-2391
Qi Zhang *College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.
Bingfeng ChenCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.
Yitian YuCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.
Tingzhang WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, PR China.
Nuohan XuCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.
Xiaoji FanKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, PR China.
Josep PenuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Zhengwei FuCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, 310032, PR China.
Ye DengState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, PR China.ORCID http://orcid.org/0000-0002-7584-0632
Yong-Guan ZhuState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, PR China.ORCID http://orcid.org/0000-0003-3861-8482
Haifeng QianCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China. hfqian@zjut.edu.cn.ORCID http://orcid.org/0000-0003-0807-9991

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22241603-3National Natural Science Foundation of China (National Science Foundation of China) 22376187
6 · The paper itself

Abstract

Microbial communities play a crucial role in ocean ecology and global biogeochemical processes. However, understanding the intricate interactions among diversity, taxonomical composition, functional traits, and how these factors respond to climate change remains a significant challenge. Here, we propose seven distinct ecological statuses by systematically considering the diversity, structure, and biogeochemical potential of the ocean microbiome to delineate their biogeography. Anthropogenic climate change is expected to alter the ecological status of the surface ocean by influencing environmental conditions, particularly nutrient and oxygen contents. Our predictive model, which utilizes machine learning, indicates that the ecological status of approximately 32.44% of the surface ocean may undergo changes from the present to the end of this century, assuming no policy interventions. These changes mainly include poleward shifts in the main taxa, increases in photosynthetic carbon fixation and decreases in nutrient metabolism. However, this proportion can decrease significantly with effective control of greenhouse gas emissions. Our study underscores the urgent necessity for implementing policies to mitigate climate change, particularly from an ecological perspective.

Indexed as

Climate ChangeMicrobiotaOceans and SeasBiodiversityCarbon CycleEcosystemSeawater

Identifiers

PMID38822036
PMCPMC11143227

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.