Evidence map›Paper›PMID 32676848›Full record

ArticleEnvironmental monitoring and assessment2020

The influence of marine fish farming on water and sediment quality: Ildır Bay (Aegean Sea).

Saniye Türk Çulha, Fatma Rabia Karaduman

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Saniye Türk ÇulhaDepartment of Hydrobiology, Fisheries Faculty, Izmir Katip Çelebi University, 35620, Izmir, Turkey. trksanye@gmail.com.ORCID https://orcid.org/0000-0003-0380-0858
Fatma Rabia KaradumanGraduate School of Natural and Applied Sciences, Izmir Katip Çelebi University, 35620, Izmir, Turkey.

Funding

İzmir Katip Çelebi University Scientific Research Projects Coordination Unit 2014-1-TEZ-44
6 · The paper itself

Abstract

The aim of this study was to examine the possible effects of the physicochemical parameters of the water at a fish farm where aquaculture activities are carried out (temperature, pH, salinity, total dissolved solids, electrical conductivity, dissolved oxygen, Secchi depth, nitrite-nitrogen, nitrate-nitrogen, phosphate-phosphorus, ammonium-nitrogen, silica, chlorophyll-a, and suspended particle matter) and in the sediments (%burnable organic matter and %organic carbon). The area of study was an open sea network cage farm where European seabass (Dicentrarchus labrax), gilthead seabream (Sparus aurata), and meagre (Argyrosomus regius) species are cultivated with an annual capacity of 7900 tons in the Bay of Çeşme Ildır (Aegean Sea). Samples of surface and bottom water and sediment were taken seasonally from four stations (three cage and one reference station) between December 2013 and October 2014. The study found that the maximum concentrations of ammonium-nitrogen, phosphate-phosphorus, and nitrite-nitrogen were observed in summer, whereas those of nitrate-nitrogen, silica, and chlorophyll-a increased in spring. In comparison with other studies conducted in the region, the amounts of nutrients, except for silica, were found to be considerably lower. Nonetheless, the values of silica and phosphate-phosphorus exceeded the limits for clean seawater. There has been no similar study conducted in recent years due to increased aquaculture capacity in this bay.

Indexed as

BaysWaterAquacultureEnvironmental MonitoringGeologic SedimentsNitrogenOceans and SeasPhosphorusNitrogenPhosphorusWaterAquacultureMonitoringNutrientsSedimentWater pollution

Identifiers

What OpenQuestion holds

Textmetadata
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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.