Evidence map›Paper›PMID 40678349›Full record

ArticleEcology and evolution2025

Monthly Alternations of Core Plant Species in Dynamic Plant-Pollinator Networks of an Urban Botanical Garden.

Xiang-Ping Wang, Shi-Ran Gu, Zhong-Tao Zhao, Shi-Jin Li, Miao-Miao Shi, Tie-Yao Tu

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

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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

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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

6 authors.

Xiang-Ping WangSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.ORCID https://orcid.org/0000-0002-0645-6370
Shi-Ran GuSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Zhong-Tao ZhaoSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Shi-Jin LiSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Miao-Miao ShiSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.ORCID https://orcid.org/0000-0002-3285-4065
Tie-Yao TuSouth China Botanical Garden Chinese Academy of Sciences Guangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban systems, particularly botanical gardens, often comprise a lot of exotic plant species that can integrate into local plant-pollinator networks, influencing their temporal structural dynamics. However, revealing how plant-pollinator interactions are continuously reshaped and how the roles of native plant and exotic plant species within networks alter over time remains a significant challenge. Here, we reconstructed monthly plant-pollinator interaction networks for 12 months within an urban botanical garden. We focused on the monthly variations in the structure of pollination networks and the roles of native and exotic plant species. The results showed that the dynamics of plant-pollinator interactions are characterized by significant changes in network structure and species alternations, which have substantial impacts on community processes. Each month, the plant-pollinator network can be divided into several modules of closely interacting plants and pollinators, and these modules form complex fission-fusion dynamics across the year. Monthly dynamic changes in plant-pollinator network structure led to alternations of plant species occupying core positions within the networks. The core plant species in the pollination networks alternated between native and exotic species across the 12 months, suggesting that plant species can be core species independently of their origin in urban plant-pollinator networks. Therefore, the roles of native and exotic plant species in plant-pollinator networks can only be fully detected and understood from the perspective of time-scale dynamics. These results suggest that information on the dynamic changes in plant-pollinator network structure is critical for understanding the temporally varying role of core species in urban ecosystems.

Indexed as

core speciesdynamicexotic plantsnative plantsplant‐pollinator networksurban botanical garden

Identifiers

PMID40678349
PMCPMC12270637

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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.