Evidence map›Paper›PMID 41233870›Full record

ArticleEnvironmental evidence2025

What evidence exists on the effectiveness of algae as biomonitors of pollution in estuaries? A systematic map protocol.

Daniel Tremmel, Carla Carvalho, Túlio Silva, Jana Del Favero, Bruno Guides Libardoni

Abstract read
In one paragraph

Article in Environmental evidence, 2025. 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

5 authors.

Daniel TremmelFederal Fluminense University, Rio de Janeiro, Brazil. dtremmel@id.uff.br.ORCID http://orcid.org/0000-0001-7125-476X
Carla CarvalhoFederal Fluminense University, Rio de Janeiro, Brazil.
Túlio SilvaFederal Fluminense University, Rio de Janeiro, Brazil.
Jana Del FaveroInfinito Mare, São Paulo, Brazil.
Bruno Guides LibardoniInfinito Mare, São Paulo, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 160500/2021-4Conselho Nacional de Desenvolvimento Científico e Tecnológico 315514/2020-5Conselho Nacional de Desenvolvimento Científico e Tecnológico 426338/2018-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.310301/2018-00Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/202.714/2018Instituto Nacional de Ciência e Tecnologia: Física Nuclear e Aplicações 464898/2014-5
6 · The paper itself

Abstract

backgroundEstuarine coastal regions play a critical role in global aquatic ecosystems, providing essential benefits such as diverse marine habitats, support for local economies through fisheries and tourism, and serving as important carbon stocks. Nonetheless, these invaluable, dynamic and complex habitats are under increasing threat from human-induced pressures, including pollution from agricultural runoff to sewage discharge, emphasizing the urgent need for innovative monitoring and mitigation strategies. Traditional biomonitoring methods involve the use of indicator species such as fish and benthic macroinvertebrates; however, these can be limited in their ability to detect pollution at an early stage. As a result, alternative monitoring strategies such as the use of algae have become increasingly popular due to their abundance sensitivity to changes in water quality. Previous research recognizes the capacity of various algae species to accumulate pollutants, thereby serving as reliable indicators of ecological stress and water contamination. Despite the growing acknowledgment of their potential, a comprehensive evaluation of the effectiveness of algae as biomonitors in estuaries remains without a systematic review. This map, therefore, seeks to synthesize existing knowledge on the applicability and reliability of algae for coastal environmental monitoring, aiming to highlight existing knowledge gaps for a future systematic review. By focusing on the utility of algae in estuarine contexts, this study aspires to provide a comprehensive overview of current practices and propose recommendations. Such an endeavor is crucial for directing future research, informing stakeholders, and guiding policy formulation towards more sustainable and effective environmental management of estuaries. This map aims to be a valuable resource for those involved in the management and preservation of estuarine environments, contributing to discussions on sustainable water management and ecological conservation.

methodsThe Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environmental Management will be followed to construct the systematic map. By using a tested search string consisting of English keywords and acronyms, we will look through two published databases (Scopus and Web of Science Core Collection) to find pertinent literature. Terms that describe the exposure (chemicals) and the population (algae in estuaries) will be combined in the search string. To this literature obtained so far, we will add more materials sourced from other search mechanisms. We will add to this body of literature with further material from Google Scholar and other internet searches, including sources in Portuguese. Next, adopting specified eligibility criteria, titles, abstracts, and full-texts will be analyzed one by one. A list of predefined variables will then be extracted from full-texts. A database containing all studies included in the map, along with coded metadata, will be generated. The evidence will be presented in a map report that includes text, figures, and tables. A matrix will be created to display the distribution and frequency of the included studies categorized by types of exposure and outcomes, aimed at identifying potential knowledge gaps and clusters.

Indexed as

AlgaeAquatic toxicologyBiofiltrationNature-based solutionsWater pollution

Identifiers

PMID41233870
PMCPMC12616895

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.