Evidence map›Paper›PMID 39467121›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

The persistent DDT footprint of ocean disposal, and ecological controls on bioaccumulation in fishes.

Lillian McGill, Toni Sleugh, Colleen Petrik, Kenneth Schiff, Karen McLaughlin, Lihini Aluwihare, Brice Semmens

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The legacy of DDT lives on in the Southern California Bight.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. The persistent DDT footprint of ocean disposal, and ecological controls on bioaccumulation in fishes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lillian McGillMarine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-2722-2917
Toni SleughMarine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-6328-6163
Colleen PetrikIntegrative Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-3253-0455
Kenneth SchiffSouthern California Coastal Water Research Project, Costa Mesa, CA 92626.
Karen McLaughlinSouthern California Coastal Water Research Project, Costa Mesa, CA 92626.
Lihini AluwihareGeosciences Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-5031-9464
Brice SemmensMarine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-5663-9194

Funding

DOC | NOAA | NOAA Research (OAR) NA22OAR4690679Gordon and Betty Moore Foundation (GBMF) 10803NSF | NSF Graduate Research Fellowship Program (GRFP) DGE-2038238
6 · The paper itself

Abstract

Globally, ocean dumping of chemical waste is a common method of disposal and relies on the assumption that dilution, diffusion, and dispersion at ocean scales will mitigate human exposure and ecosystem impacts. In southern California, extensive dumping of agrochemical waste, particularly chlorinated hydrocarbon contaminants such as DDT, via sewage outfalls and permitted offshore barging occurred for most of the last century. This study compiled a database of existing sediment and fish DDT measurements to examine how this unique legacy of regional ocean disposal translates into the contemporary contamination of the coastal ocean. We used spatiotemporal modeling to derive continuous estimates of sediment DDT contamination and show that the spatial signature of disposal (i.e., high loadings near historic dumping sites) is highly conserved in sediments. Moreover, we demonstrate that the proximity of fish to areas of high sediment loadings explained over half of the variation in fish DDT concentrations. The relationship between sediment and fish contamination was mediated by ecological predictors (e.g., species, trophic ecology, habitat use), and the relative influence of each predictor was context-dependent, with habitat exhibiting greater importance in heavily contaminated areas. Thus, despite more than half a century since the cessation of industrial dumping in the region, local ecosystem contamination continues to mirror the spatial legacy of dumping, suggesting that sediment can serve as a robust predictor of fish contamination, and general ecological characteristics offer a predictive framework for unmeasured species or locations.

Indexed as

BioaccumulationDDTEcosystemFishesGeologic SedimentsWater Pollutants, ChemicalAnimalsCaliforniaEnvironmental MonitoringOceans and SeasDDTWater Pollutants, ChemicalDDTFishmarinesedimentspatiotemporal modeling

Identifiers

PMID39467121
PMCPMC11551384

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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.