Evidence map›Paper›PMID 42117818›Full record

ArticleBiology2026

Seasonal Variation in Zooplankton Community Structure and Its Environmental Drivers in the Coastal Waters of Lanshan Port.

Liang Zhang, Lan Wang, Cong Fang, Yinglu Ji, Sichao Pu, Huihui Tao, Haizhou Zhang, Yumeng Liu

Abstract read
In one paragraph

Article in Biology, 2026. 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

8 authors.

Liang ZhangNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.
Lan WangNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.ORCID 0009-0006-7412-2643
Cong FangZhejiang Environmental Technology Co., Ltd., Hangzhou 310030, China.
Yinglu JiNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.ORCID 0000-0002-7137-8268
Sichao PuNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.
Huihui TaoNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.
Haizhou ZhangNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.
Yumeng LiuNorth China Sea Marine Forecasting and Hazard Mitigation Center, Ministry of Natural Resources, Qingdao 266100, China.

Funding

North China Sea Bureau of the Ministry of Natural Resources 202302
6 · The paper itself

Abstract

Coastal port ecosystems serve as critical interfaces between marine environments and anthropogenic activities, yet zooplankton community dynamics in these transitional zones remain poorly understood. This study investigated seasonal variations in zooplankton assemblages and their environmental drivers in the coastal waters surrounding Lanshan Port, northern Yellow Sea, through quarterly field surveys spanning spring to winter. A total of 33 zooplankton species and 16 planktonic larval categories were identified, with Hydromedusa, Copepoda, and planktonic larvae comprising the three dominant groups. Marked seasonal disparities were observed in species richness (spring: 21 species and 11 larvae categories; winter: 8 species and 3 larvae categories), biomass (autumn: 333.7 mg/m

Indexed as

diversitydominanceenvironmental driversspatio-temporal distributionzooplankton community

Identifiers

PMID42117818
PMCPMC13162687

What OpenQuestion holds

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LicenceCC BY
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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.