Evidence map›Paper›PMID 36947518›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Coastal upwelling drives ecosystem temporal variability from the surface to the abyssal seafloor.

Monique Messié, Rob E Sherlock, Christine L Huffard, J Timothy Pennington, C Anela Choy, Reiko P Michisaki, Kevin Gomes, Francisco P Chavez, Bruce H Robison, Kenneth L Smith

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Coastal upwelling drives ecosystem temporal variability from the surface to the abyssal seafloor.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

10 authors.

Monique MessiéMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-4985-3413
Rob E SherlockMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-5474-9880
Christine L HuffardMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-2631-1021
J Timothy PenningtonMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.
C Anela ChoyMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-0305-1159
Reiko P MichisakiMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.
Kevin GomesMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.
Francisco P ChavezMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-0691-292X
Bruce H RobisonMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0002-1784-0466
Kenneth L SmithMonterey Bay Aquarium Research Institute, Moss Landing, CA 95039.ORCID 0000-0003-3042-6312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term biological time series that monitor ecosystems across the ocean's full water column are extremely rare. As a result, classic paradigms are yet to be tested. One such paradigm is that variations in coastal upwelling drive changes in marine ecosystems throughout the water column. We examine this hypothesis by using data from three multidecadal time series spanning surface (0 m), midwater (200 to 1,000 m), and benthic (~4,000 m) habitats in the central California Current Upwelling System. Data include microscopic counts of surface plankton, video quantification of midwater animals, and imaging of benthic seafloor invertebrates. Taxon-specific plankton biomass and midwater and benthic animal densities were separately analyzed with principal component analysis. Within each community, the first mode of variability corresponds to most taxa increasing and decreasing over time, capturing seasonal surface blooms and lower-frequency midwater and benthic variability. When compared to local wind-driven upwelling variability, each community correlates to changes in upwelling damped over distinct timescales. This suggests that periods of high upwelling favor increase in organism biomass or density from the surface ocean through the midwater down to the abyssal seafloor. These connections most likely occur directly via changes in primary production and vertical carbon flux, and to a lesser extent indirectly via other oceanic changes. The timescales over which species respond to upwelling are taxon-specific and are likely linked to the longevity of phytoplankton blooms (surface) and of animal life (midwater and benthos), which dictate how long upwelling-driven changes persist within each community.

Indexed as

EcosystemInvertebratesAnimalsBiomassOceans and SeasPlanktonWaterWateranimal lifespanCalifornia Currentcoastal upwellingdeep seaecosystem variability

Identifiers

PMID36947518
PMCPMC10068760

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.