Evidence map›Paper›PMID 38228754›Full record

ArticleCommunications biology2024

Adaptive rewiring shapes structure and stability in a three-guild herbivore-plant-pollinator network.

Min Su, Qi Ma, Cang Hui

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. 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

3 authors.

Min SuSchool of Mathematics, Hefei University of Technology, Hefei, 230009, China. sum04@163.com.ORCID 0000-0002-0231-878X
Qi MaSchool of Mathematics, Hefei University of Technology, Hefei, 230009, China.ORCID 0000-0002-8088-5878
Cang HuiCentre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, 7602, South Africa. chui@sun.ac.za.ORCID 0000-0002-3660-8160

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32371555Natural Science Foundation of Anhui Province (Anhui Provincial Natural Science Foundation) 2308085MA09State Key Laboratory of Integrated Pest Management (State Key Laboratory of Integrated Management of Pest Insects and Rodents) IPM2104
6 · The paper itself

Abstract

Animal species, encompassing both pollinators and herbivores, exhibit a preference for plants based on optimal foraging theory. Understanding the intricacies of these adaptive plant-animal interactions in the context of community assembly poses a main challenge in ecology. This study delves into the impact of adaptive interaction rewiring between species belonging to different guilds on the structure and stability of a 3-guild ecological network, incorporating both mutualistic and antagonistic interactions. Our findings reveal that adaptive rewiring results in sub-networks becoming more nested and compartmentalized. Furthermore, the rewiring of interactions uncovers a positive correlation between a plant's generalism concerning both pollinators and herbivores. Additionally, there is a positive correlation between a plant's degree centrality and its energy budget. Although network stability does not exhibit a clear relationship with non-random structures, it is primarily influenced by the balance of multiple interaction strengths. In summary, our results underscore the significance of adaptive interaction rewiring in shaping the structure of 3-guild networks. They emphasize the importance of considering the balance of multiple interactions for the stability of adaptive networks, providing valuable insights into the complex dynamics of ecological communities.

Indexed as

HerbivoryPollinationAnimalsBiotaPlantsSymbiosis

Identifiers

PMID38228754
PMCPMC10791747

What OpenQuestion holds

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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.