Evidence map›Paper›PMID 41339478›Full record

Articlenpj biodiversity2025

Climate change will greatly alter multifaceted biodiversity patterns in goatfish species.

Hongwei Huang, Geng Qin, Zhixin Zhang, Qiang Lin

Abstract read
In one paragraph

Article in npj biodiversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Hongwei HuangState Key Laboratory of Tropical Oceanography, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, PR China.
Geng QinState Key Laboratory of Tropical Oceanography, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, PR China.
Zhixin ZhangState Key Laboratory of Tropical Oceanography, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, PR China. zxzhang@scsio.ac.cn.
Qiang LinState Key Laboratory of Tropical Oceanography, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, PR China. linqiang@scsio.ac.cn.

Funding

the development fund of South China Sea Institute of Oceanology of the Chinese Academy of Sciences SCSIO202208the National Key R&D Program of China 2023YFC3108800the National Natural Science Foundation of China 42276126the Natural Science Foundation of Guangdong Province E4DM2A02
6 · The paper itself

Abstract

Multifaceted biodiversity is crucial for biological conservation and ecosystem sustainability but has been largely neglected in marine biodiversity research. Here we focused on 53 goatfish species of the family Mullidae, developed species distribution models using 34,577 georeferenced occurrence records, and examined redistribution of multifaceted biodiversity patterns under climate change. Our results show that under current climate conditions, the species, phylogenetic, and functional diversity patterns of goatfishes peak in biodiversity hotspots such as the Indo-Pacific convergence zone, Coral Triangle, and Madagascar. These three facets of biodiversity are projected to undergo dramatic changes under climate change, with spatial mismatches observed across different facets. Our results suggest that future climate change might alter the biodiversity patterns of goatfishes and policymakers should account for multifaceted biodiversity when developing conservation strategies.

Identifiers

PMID41339478
PMCPMC12675787

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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.