Evidence map›Paper›PMID 32699214›Full record

ArticleScientific reports2020

Environmental factors influencing primary productivity of the forest-forming kelp Laminaria hyperborea in the northeast Atlantic.

Dan A Smale, Albert Pessarrodona, Nathan King, Michael T Burrows, Anna Yunnie, Thomas Vance, Pippa Moore

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  8. Review
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  10. Review
  11. Article
  12. Article
  13. Global seaweed productivity.Science advances · 2022
    Article
  14. Article
  15. Increasing instability of a rocky intertidal meta-ecosystem.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Article
  17. Article
  18. 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

7 authors.

Dan A SmaleMarine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, UK. dansma@mba.ac.uk.
Albert PessarrodonaUWA Oceans Institute and School of Biological Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
Nathan KingSchool of Ocean Sciences, Bangor University, Menai Bridge, Anglesey, LL59 5AB, UK.
Michael T BurrowsScottish Association for Marine Science, Dunbeg, Oban, PA37 1QA, Argyll, UK.
Anna YunniePML Applications Ltd, Prospect Place, Plymouth, PL1 3DH, UK.
Thomas VancePML Applications Ltd, Prospect Place, Plymouth, PL1 3DH, UK.
Pippa MooreInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK.

Funding

Medical Research Council MR/S032827/1
6 · The paper itself

Abstract

Rates and drivers of primary productivity are well understood for many terrestrial ecosystems, but remain poorly resolved for many marine ecosystems, particularly those within in coastal benthic environments. We quantified net primary productivity (NPP) using two methods as well as carbon standing stock within kelp forests (Laminaria hyperborea) at multiple subtidal habitats in the United Kingdom (UK). Study sites spanned 9° in latitude and encompassed a gradient in average temperature of ~ 2.5 °C. In addition to temperature, we measured other factors (e.g. light intensity, water motion, nutrients, sea urchin density) that may influence productivity. Although estimates of NPP were highly variable between sites, ranging from 166 to 738 g C m

Indexed as

EcosystemAnimalsAtlantic OceanBiomassCarbonCarbon CycleFood ChainLaminariaLightSea UrchinsTemperatureCarbon

Identifiers

PMID32699214
PMCPMC7376248

What OpenQuestion holds

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Registered trials

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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.