Evidence map›Paper›PMID 41917651›Full record

ArticleEnvironmental monitoring and assessment2026

The dynamics of coastal macroalgal assemblages after the Fundão dam disaster: challenges and lessons from impact assessment.

Ivan M Carneiro, Guilherme M Castro, Fernando C Cardoso, Julia P Curvêllo, Rodrigo T Carvalho, Leonardo T Salgado, Julia Kaiser, Paulo S Salomon, Rodrigo L Moura

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2026. 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
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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

9 authors.

Ivan M CarneiroInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Guilherme M CastroInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Fernando C CardosoInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Julia P CurvêlloInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Rodrigo T CarvalhoInstituto de Pesquisas Jardim Botânico Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Leonardo T SalgadoInstituto de Pesquisas Jardim Botânico Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Julia KaiserInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Paulo S SalomonInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Rodrigo L MouraInstituto de Biologia and Núcleo Rogerio Valle de Produção Sustentável/COPPE, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. r.moura@sage.coppe.ufrj.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic marine disasters impair biodiversity, ecosystem services provisioning, and socioeconomic development, with long-lasting consequences. Robust impact assessment, however, depends on understanding the spatiotemporal variability of the indicators used to detect change. Here, we present the results of a monitoring program (2018-2025) targeted at two Coastal and Marine Protected Areas located 40 km south of the Doce River mouth (Eastern Brazil), which were affected by the discharge of iron ore tailings from the Fundão dam collapse in 2015. Besides assessing the dynamics of the benthic assemblages, we revealed a high variability among sampling units (residual), along with relevant variability across seasons, sites, and their interactions. Wave height and distance from rivers were the most influential drivers explaining assemblage variability. Before-after contrasts based on pre-disaster data from the literature indicate shifts in the assemblage structure. However, because baseline data are limited, the observed changes cannot be conclusively attributed to the disaster. An overview of marine areas under long-term ecological monitoring in Brazil revealed a concerning mismatch with the distribution of mining, oil and gas, port, and nuclear activities. Rethinking funding for baseline data collection and monitoring of disaster-prone marine areas, primarily from industries that are often responsible for marine disasters, constitutes a necessary step toward effective solutions.

Indexed as

DisastersEnvironmental MonitoringSeaweedBiodiversityBrazilEcosystemMiningRiversBrown algaeLong term ecological researchSampling designSargassumSpatial scales

Identifiers

PMID41917651
PMCPMC13038463

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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.