Evidence map›Paper›PMID 35804620›Full record

ArticleAnimals : an open access journal from MDPI2022

Signals of Potential Species Associations Offer Clues about Community Organisation of Stream Fish across Seasons.

Chen Zhang, Yuzhou Zhang, Jorge García-Girón, Kai Tan, Lei Wang, Yihao Ge, Yunzhi Yan

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chen ZhangSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.ORCID 0000-0003-2880-3473
Yuzhou ZhangSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.
Jorge García-GirónFreshwater Centre, Finnish Environment Institute, P.O. Box 413, FI-90014 Oulu, Finland.
Kai TanSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.
Lei WangSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.
Yihao GeSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.
Yunzhi YanSchool of Ecology and Environment, Anhui Normal University, Wuhu 241002, China.

Funding

Academy of Finland 331957Earmarked Fund for the Anhui Fishery Research System 2021-711National Natural Science Foundation of China 31872251Spanish Ministry of Universities AG325
6 · The paper itself

Abstract

Environmental filtering, spatial factors and species interactions are fundamental ecological mechanisms for community organisation, yet the role of such interactions across different environmental and spatial settings remains mostly unknown. In this study, we investigated fish community organisation scenarios and seasonal species-to-species associations potentially reflecting biotic associations along the Qiupu River (China). Based on a latent variable approach and a tree-based method, we compared the relative contribution of the abiotic environment, spatial covariates and potential species associations for variation in the community structure, and assessed whether different assembly scenarios were modulated by concomitant changes in the interaction network structure of fish communities across seasons. We found that potential species associations might have been underestimated in community-based assessments of stream fish. Omnivore species, since they have more associations with other species, were found to be key components sustaining fish interaction networks across different stream orders. Hence, we suggest that species interactions, such as predation and competition, likely played a key role in community structure. For instance, indices accounting for network structure, such as connectance and nestedness, were strongly correlated with the unexplained residuals from our latent variable approach, thereby re-emphasising that biotic signals, potentially reflecting species interactions, may be of primary importance in determining stream fish communities across seasons. Overall, our findings indicate that interaction network structures are a powerful tool to reflect the contribution of potential species associations to community assembly. From an applied perspective, this study should encourage freshwater ecologists to empirically capture and manage biotic constraints in stream ecosystems across different geographical and environmental settings, especially in the context of the ever-increasing impacts of human-induced local extinction debts and species invasions.

Indexed as

biotic interactionscommunity organisationinteraction networkslatent variablesnetwork structurestream fish

Identifiers

PMID35804620
PMCPMC9265093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.