Evidence map›Paper›PMID 29101703›Full record

ArticleEnvironmental science and pollution research international2018

Hydrological conditions and phytoplankton community in the Lesina lagoon (southern Adriatic Sea, Mediterranean).

Carmela Caroppo, Leonilde Roselli, Antonella Di Leo

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Article in Environmental science and pollution research international, 2018. 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

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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

3 authors.

Carmela CaroppoNational Research Council, Institute for Coastal Marine Environment, Via Roma 3, 74123, Taranto, Italy. carmela.caroppo@iamc.cnr.it.ORCID http://orcid.org/0000-0002-0572-1048
Leonilde RoselliDepartment of Biological and Environmental Sciences & Technologies, University of Salento, 73100, Lecce, Italy.
Antonella Di LeoNational Research Council, Institute for Coastal Marine Environment, Via Roma 3, 74123, Taranto, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Lesina lagoon (southern Adriatic Sea, Mediterranean) is a coastal lagoon located in a highly intensified farming and tourist area. A monthly sampling was carried out in 1998 in five stations, representative of different hydrological features, in order to analyse phytoplankton composition and its relation to environmental parameters. Our results showed high spatial variability of abiotic variables. Phytoplankton abundances and biomass trends showed marked seasonality, with annual peaks occurring in late winter-early spring and summer periods. Phytoplankton blooms were due to the diatom Thalassiosira pseudonana and the dinoflagellate Prorocentrum cordatum. Statistical analyses showed that salinity and nutrients were the main factors affecting phytoplankton abundance and biomass. Phytoplankton dynamics was associated both to seasonality and the hydrodynamic regime of the system. Moreover, chemical-physical data were analysed together with those collected in the same stations in 2007, to compare their dynamics under different hydrological regimes. The two periods corresponded to the closure and opening, respectively, of canals connecting the lagoon to the sea. In general, abiotic variables (salinity, dissolved oxygen, pH, nitrate, phosphate and silicate concentrations) were significantly affected by the hydrodynamic regime. These data could provide a useful basis to complement the knowledge gained through current monitoring within the framework of the European Directives, as well as to implement conservation and management strategies of these transitional waters.

Indexed as

HydrodynamicsBiomassEcosystemEnvironmental MonitoringLakesMediterranean SeaPhytoplanktonSalinitySeasonsSeawaterDistributionDynamicsEnvironmental variablesHarmful speciesHydrologyLesina lagoonNutrientsPhytoplankton

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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.