Evidence map›Paper›PMID 34373494›Full record

ArticleScientific reports2021

Quantifying the dynamics of rocky intertidal sessile communities along the Pacific coast of Japan: implications for ecological resilience.

Ken Ishida, Michikusa Tachibana, Masakazu Hori, Takehiro Okuda, Tomoko Yamamoto, Masahiro Nakaoka, Takashi Noda

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

7 authors.

Ken IshidaGraduate School of Environmental Science, Hokkaido University, N10W5, Kita-ku, Sapporo, Hokkaido, 060-0810, Japan. ken@ees.hokudai.ac.jp.
Michikusa TachibanaGraduate School of Environmental Science, Hokkaido University, N10W5, Kita-ku, Sapporo, Hokkaido, 060-0810, Japan.
Masakazu HoriFisheries Resources Institute, Japan Fisheries Research and Education Agency, 2-12-4, Fukura, Kanazawa-ku, Yokohama, 236-8648, Japan.
Takehiro OkudaFisheries Resources Institute, Japan Fisheries Research and Education Agency, 2-12-4, Fukura, Kanazawa-ku, Yokohama, 236-8648, Japan.
Tomoko YamamotoFaculty of Fisheries, Kagoshima University, 4-50-20, Simoarata, Kagoshima, 890-0056, Japan.
Masahiro NakaokaAkkeshi Marine Station, Field Science Center for Northern Biosphere, Hokkaido University, Aikappu, Akkeshi, Hokkaido, 088-1113, Japan.
Takashi NodaFaculty of Environmental Earth Science, Hokkaido University, N10W5, Kita-ku, Sapporo, Hokkaido, 060-0810, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term patterns in trajectories of natural communities provide insights into ecological resilience, but their assessment requires long-term census data. We analyzed 16-year census data for intertidal communities from 30 rocky shores along Japan's Pacific coast to assign community change to four possible trajectories (stable, reversible, abrupt, or linear) representing different aspects of ecological resilience, and to estimate multiple metrics of temporal invariability (species richness, species composition, and community abundance). We examined (1) how the prevalence of the four trajectories differs among regions, (2) how the features (model coefficients) of each trajectory vary among regions, and (3) how the temporal invariabilities differ among trajectories and regions. We found that the stable trajectory was the most common. Its features differed among regions, with a faster recovery to steady-state equilibrium in low-latitude regions. Furthermore, trajectories and temporal invariabilities both varied among regions, seemingly in association with the strength of ocean current fluctuations. Thus, the relationship between community temporal invariability and trajectory may be weak or absent, at least at the regional scale.

Identifiers

PMID34373494
PMCPMC8352913

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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.