Evidence map›Paper›PMID 36969925›Full record

ArticleEcology and evolution2023

A large-scale field experiment of artificially caused landslides with replications revealed the response of the ground-dwelling beetle community to landslides.

Jumpei Furusawa, Kobayashi Makoto, Shunsuke Utsumi

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In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. CORRIGENDUM.Ecology and evolution · 2023
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jumpei FurusawaGraduate School of Environmental Science Hokkaido University Sapporo Japan.
Kobayashi MakotoNayoro Research Office, Field Science Center for Northern Biosphere Hokkaido University Nayoro Japan.ORCID https://orcid.org/0000-0002-2786-2220
Shunsuke UtsumiField Science Center for Northern Biosphere Hokkaido University Sapporo Japan.ORCID https://orcid.org/0000-0003-1558-8073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precipitation-induced landslides, which are predicted to increase under the changing climate, may have large impacts on insect community properties. However, understanding of how insect community properties shift following landslides remains limited because replicated research involving landslides, which are large-scale disturbances with stochastic natural causes, is difficult. To tackle this issue, we conducted a large-scale field experiment by artificially causing landslides at multiple sites. We established 12 landslide sites, each 35 m × 35 m, and 6 undisturbed sites in both planted and natural forests and collected ground-dwelling beetles 1 year later. We found that forest type (i.e., pre-disturbance vegetation) did not affect the structure of a ground-dwelling beetle community disturbed by a landslide (landslide community), but the structure of an undisturbed community was affected by forest type. Moreover, the structures of landslide and undisturbed communities were completely different, possibly because landslides create harsh environments that act as an ecological filter. Thus, a niche-selection process may have a critical role in community assembly at landslide sites. There were no significant differences in species diversity between undisturbed and landslide communities, suggesting that landslides to not reduce species richness overall. However, among-site variability in species composition was much greater at landslide sites than at undisturbed sites. This result suggests that stochastic colonization predominated at the landslide sites more than undisturbed sites.

Indexed as

cool‐temperate climatedispersalecological driftecological restorationlandslidemetacommunitymixed forestpitfall trap

Identifiers

PMID36969925
PMCPMC10037431

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identifiers read1
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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.