Evidence map›Paper›PMID 39438612›Full record

ArticleCommunications biology2024

Multifaceted effects of variable biotic interactions on population stability in complex interaction webs.

Koya Hashimoto, Daisuke Hayasaka, Yuji Eguchi, Yugo Seko, Ji Cai, Kenta Suzuki, Koichi Goka, Taku Kadoya

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Koya Hashimoto *Faculty of Agriculture, Kindai University, Nakamachi 3327-204, Nara, Nara, 631-8505, Japan. atrophaneura4@gmail.com.ORCID 0000-0003-3510-1453
Daisuke Hayasaka *Faculty of Agriculture, Kindai University, Nakamachi 3327-204, Nara, Nara, 631-8505, Japan.ORCID 0000-0002-4108-7101
Yuji EguchiGraduate School of Agriculture, Kindai University, Nakamachi 3327-204, Nara, Nara, 631-8505, Japan.
Yugo SekoNational Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, 305-8506, Japan.
Ji CaiCenter for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, Shiga, 520-2113, Japan.
Kenta SuzukiBioResource Research Center, RIKEN, Takanodai 3-1-1, Tsukuba, Ibaraki, 305-0074, Japan.
Koichi GokaNational Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, 305-8506, Japan.ORCID 0000-0001-9061-2403
Taku Kadoya *National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, 305-8506, Japan.

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 20K15640MEXT | Japan Society for the Promotion of Science (JSPS) 21J01194MEXT | Japan Society for the Promotion of Science (JSPS) 21K18318
6 · The paper itself

Abstract

Recent studies have revealed that biotic interactions in ecological communities vary over time, possibly mediating community responses to anthropogenic disturbances. This study investigated the heterogeneity of such variability within a real community and its impact on population stability in the face of pesticide application, particularly focusing on density-dependence of the interaction effect. Using outdoor mesocosms with a freshwater community, we found considerable heterogeneity in density-dependent interaction variability among links in the same community. This variability mediated the stability of recipient populations, with negative density-dependent interaction variability stabilizing whereas positive density-dependence and density-independent interaction variability destabilizing populations. Unexpectedly, the mean interaction strength, which is typically considered crucial for stability, had no significant effect, suggesting that how organisms interact on average is insufficient to predict the ecological impacts of pesticides. Our findings emphasize the multifaceted role of interaction variability in predicting the ecological consequences of anthropogenic disturbances such as pesticide application.

Indexed as

Food ChainPesticidesAnimalsEcosystemPopulation DensityPopulation DynamicsPesticides

Identifiers

PMID39438612
PMCPMC11496648

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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.