Evidence map›Paper›PMID 39596885›Full record

ArticleBiology2024

Comparison of Environmental DNA Metabarcoding and a Traditional Survey Method for Assessing Fish Diversity and Distribution Along Salinity Gradient in an Urban Brackish Reservoir, China.

Xu Wang, Jiaqiao Wang, Lin Lin, Liangmin Huang, Kai Liu, Guangjie Dai, Qianwen Cai, Jun Li, Shilong Feng, Guangzhao Wang and 3 more

Abstract read
In one paragraph

Article in Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Xu WangFisheries College, Jimei University, Xiamen 361021, China.
Jiaqiao WangFisheries College, Jimei University, Xiamen 361021, China.ORCID 0000-0003-0863-6380
Lin LinFisheries College, Jimei University, Xiamen 361021, China.
Liangmin HuangFisheries College, Jimei University, Xiamen 361021, China.ORCID 0000-0002-5905-7867
Kai LiuFisheries College, Jimei University, Xiamen 361021, China.
Guangjie DaiAgriculture, Rural and Water Resources Bureau of Jimei District, Xiamen 361022, China.
Qianwen CaiAgriculture, Rural and Water Resources Bureau of Jimei District, Xiamen 361022, China.
Jun LiFisheries College, Jimei University, Xiamen 361021, China.
Shilong FengFisheries College, Jimei University, Xiamen 361021, China.
Guangzhao WangFisheries College, Jimei University, Xiamen 361021, China.
Yapeng HuiFisheries College, Jimei University, Xiamen 361021, China.
Longhui QiuEngineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt, Ministry of Education, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.
Fenfen JiFisheries College, Jimei University, Xiamen 361021, China.

Funding

Ecological Environment Improvement Project of Xinglinwan Reservoir S23394Fujian Provincial Department of Education Science and Technology projects JAT220179Natural Science Foundation of Fujian Province, China 2021J01825Natural Science Foundation of Fujian Province, China 2023J05156
6 · The paper itself

Abstract

With the decrease in fish diversity, the monitoring of fish has become a current research hotspot. Here, the fish diversity and spatial distribution along a salinity gradient (0.28‱-3.32‱) in Xinglinwan Reservoir, China, were investigated using eDNA and the TSM. With the combination of both methods, 12 species from 6 orders, 9 families, and 11 genera were observed. The invasive species

Indexed as

environmental DNA metabarcodingfish diversitytraditional survey methodXinglinwan Reservoir

Identifiers

PMID39596885
PMCPMC11592076

What OpenQuestion holds

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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.