Evidence map›Paper›PMID 34623520›Full record

ArticleEnvironmental monitoring and assessment2021

Assessment of potential variability of cadmium and copper trace metals using hindcast estimates.

Lestari Lestari, Harmesa Harmesa, Edwards Taufiqurrahman, Fitri Budiyanto, A'an Johan Wahyudi

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2021. 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
0.7field-weighted citation impact, top 32% of its field
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, 11 citations in OpenAlex.

  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

5 authors at 2 institutions in 2 countries.

Lestari LestariResearch Center for Oceanography, National Research and Innovation Agency (Formerly Indonesian Institute of Sciences - LIPI), Jakarta, Indonesia.
Harmesa HarmesaResearch Center for Oceanography, National Research and Innovation Agency (Formerly Indonesian Institute of Sciences - LIPI), Jakarta, Indonesia.
Edwards TaufiqurrahmanResearch Center for Oceanography, National Research and Innovation Agency (Formerly Indonesian Institute of Sciences - LIPI), Jakarta, Indonesia.
Fitri BudiyantoResearch Center for Oceanography, National Research and Innovation Agency (Formerly Indonesian Institute of Sciences - LIPI), Jakarta, Indonesia.
A'an Johan WahyudiResearch Center for Oceanography, National Research and Innovation Agency (Formerly Indonesian Institute of Sciences - LIPI), Jakarta, Indonesia. aanj001@brin.go.id.ORCID http://orcid.org/0000-0001-7435-4731
Indonesian Institute of Sciences · IDKing Abdulaziz University · SA

Funding

coremap-cti 2021-2022 17/A/DK/2021japan society for the promotion of science JPJSBP120198201
6 · The paper itself

Abstract

Trace metals are vital to primary productivity and play an essential role as main components in regulating oceanic biogeochemical cycles. Dissolved and particulate trace metals within the water column may vary due to primary production, temperature, and nutrient changes, factors that may also vary spatially and temporally. Furthermore, assessment of trace metals mainly relies on in situ observation, and so wide-area investigation of trace-metal concentration may be challenging and subject to technical constraints. A specific approach is therefore necessary that combines biogeochemical proxies, satellite data, and trace-metal linear correlation. This study aims to assess the potential spatio-temporal variability of sea surface cadmium (Cd) and copper (Cu) concentrations in Indonesian seas and surrounding areas. The correlations of Cd and Cu concentrations with primary production and nutrient data were used to convert hindcast satellite data into estimates of the metals' concentrations. The potential variability of trace metals can be determined by overlaying both data. Indonesia's Fisheries Management Areas (FMAs) were used for data clustering and analysis. The results show that Cd and Cu trace metals have similar distribution patterns throughout the year. However, dissolved Cu has a more diverse coverage area than dissolved Cd, including within the Halmahera, Seram, and Maluku Seas (FMAs 716 and 717), the Makassar Strait (FMA 717), and the Java-Sumatra upwelling area (FMA 573). Both Cd and Cu concentrations in the Java-Sumatra upwelling region follow the periodic upwelling pattern. Overall, both Cd and Cu show a declining trend in concentration from 2012 to 2019. It is estimated that dissolved Cd concentration declined from 1500-2000 pmol/kg in 2012 to 1000-1500 pmol/kg in 2019 for all locations. Dissolved Cu concentration decreased from 30-35 nmol/kg in 2012 to 25-30 nmol/kg in 2019. Estimated dissolved Cd and Cu follow the linear functions of silicate (SiO

Indexed as

Metals, HeavyTrace ElementsCadmiumCopperEnvironmental MonitoringCadmiumCopperMetals, HeavyTrace ElementsBiogeochemistryCadmiumCopperSpatio-temporal variabilityTrace metal

Identifiers

PMID34623520
OpenAlexW3204037080

What OpenQuestion holds

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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.