Evidence map›Paper›PMID 34283931›Full record

ArticleBiology letters2021

Causal analysis of the temperature impact on deep-sea biodiversity.

Hideyuki Doi, Moriaki Yasuhara, Masayuki Ushio

Open access · greenAbstract read
In one paragraph

Article in Biology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. Article
  6. Detecting and attributing the causes of biodiversity change: needs, gaps and solutions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
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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

3 authors at 3 institutions in 2 countries.

Hideyuki DoiGraduate School of Information Science, University of Hyogo, 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.
Moriaki YasuharaDivision of Ecology and Biodiversity, School of Biological Sciences, Swire Institute of Marine Science, and State Key Laboratory of Marine Pollution, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.
Masayuki UshioHakubi Center, Kyoto University, Kyoto 606-8501, Japan.
Kyoto University · JPUniversity of Hong Kong · HKUniversity of Hyogo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deep sea comprises more than 90% of the ocean; therefore, understanding the controlling factors of biodiversity in the deep sea is of great importance for predicting future changes in the functioning of the ocean system. Consensus has recently been increasing on two plausible factors that have often been discussed as the drivers of deep-sea species richness in the contexts of the species-energy and physiological tolerance hypotheses: (i) seafloor particulate organic carbon (POC) derived from primary production in the euphotic zone and (ii) temperature. Nonetheless, factors that drive deep-sea biodiversity are still actively debated potentially owing to a mirage of correlations (sign and magnitude are generally time dependent), which are often found in nonlinear, complex ecological systems, making the characterization of causalities difficult. Here, we tested the causal influences of POC flux and temperature on species richness using long-term palaeoecological datasets derived from sediment core samples and convergent cross mapping, a numerical method for characterizing causal relationships in complex systems. The results showed that temperature, but not POC flux, influenced species richness over 10

Indexed as

BiodiversityEcosystemCausalityClimate ChangeHumansTemperaturebiodiversityclimatedeep-sea

Identifiers

PMID34283931
PMCPMC8292016
OpenAlexW3185354395

What OpenQuestion holds

Textmetadata
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.