Evidence map›Paper›PMID 41463505›Full record

ArticleBiology2025

Modeling Dominant Macrobenthic Species Distribution and Predicting Potential Habitats in the Yellow River Estuary, China.

Chao Yuan, Juan Huang, Lan Wang, Tao Zhang, Haolin Yu, Huiying Sun, Yumeng Liu, Shuo Sun, Jingyi Sun, Yongjun Shang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 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

12 authors.

Chao YuanNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Juan HuangNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Lan WangNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Tao ZhangCAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266400, China.
Haolin YuCAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266400, China.
Huiying SunNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Yumeng LiuNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Shuo SunNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Jingyi SunNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Yongjun ShangFisheries College, Ocean University of China, Qingdao 266003, China.
Jie FengNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.
Jiangling XuNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266061, China.

Funding

China National Offshore Oil Corporation Marine Environment and Ecological Protection Public Welfare Foundation CF-MEEC/TR2025-13"Development of Key Technologies for Marine Development Suitability Assessment and Marine Disaster Impact Evaluation in the Specific Waters East of Rushan, Southern Shandong Peninsula", funded under the "Revealing the List and Taking the Lead" program of 001National Key R&D Program of China 2022YFD2401301Open Research Fund of the Key Laboratory of Ecological Prewarning, Protection, and Restoration of Bohai Sea, Ministry of Natural Resources 2023109Primary Research and Development Plan of Guangxi Province GuiKe AB21220064
6 · The paper itself

Abstract

Macrobenthic fauna are vital to the ecological health of the Yellow River Estuary, yet their long-term population drivers are poorly understood. This study used Boosted Regression Tree models to analyze the spatio-temporal distribution of five dominant species:

Indexed as

boosted regression treesmacrobenthospotential habitatsspecies distributionYellow River Estuary

Identifiers

PMID41463505
PMCPMC12730213

What OpenQuestion holds

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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.