Evidence map›Paper›PMID 41999658›Full record

ArticleIntegrative zoology2026

Plant and Fruit Traits Drive the Structure of Bird-Frugivore Networks in a Simplified Coastal Forest of Eastern China.

Ying Xu, Yimeng He, Yuanwen Pan, Ning Tang, Zheng Wang, Ning Li

Abstract read
In one paragraph

Article in Integrative zoology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ying XuInstitute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.
Yimeng HeInstitute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.
Yuanwen PanInstitute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.
Ning TangInstitute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.
Zheng WangCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Science, Nanjing Forestry University, Nanjing, Jiangsu, China.
Ning LiInstitute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, Jiangsu, China.

Funding

National Natural Science Foundation of China 32171528Natural Science Foundation of Jiangsu Province BK20221180
6 · The paper itself

Abstract

Plant and fruit functional traits fundamentally structure mutualistic networks in forest ecosystems. However, it remains unclear how these traits affect the network structure in the coastal forests. Understanding the relationship between plant traits and network structure is crucial not only for fundamental ecology, but also for the effective conservation and management in the coastal forest ecosystems. Here, we examined avian-frugivory networks in the coastal forests of Dafeng, eastern China, by integrating key plant (height, canopy density, and fruit yield) and fruit traits (water content, crude fat, sugar, starch, and phenolics). The frugivory network exhibited a specialized and modular structure with significantly lower connectance and nestedness than null model expectations. Generalist species, particularly the light-vented bulbul (Pycnonotus sinensis), acted as the main forager in the network, interacting with all 12 plant species. The results of generalized additive models revealed complex nonlinear relationships between plant functional traits and network structure: fruit yield exhibited a threshold effect on species degree, while water content showed a unimodal effect. Crude fat and tannin content further influenced specialization through saturating and unimodal patterns, respectively. Overall, our study highlight that both structural and nutritional traits critically shape frugivory networks in coastal forests. Our findings also provide a trait-based framework for conservation of coastal forests, underscoring the need to preserve generalist frugivores and prioritize plant species with key functional traits to maintain ecosystem resilience.

Indexed as

BirdsFeeding BehaviorForestsFruitPlantsAnimalsChinabird–frugivory networkcoastal forest ecosystemfruit chemistry traitplant–animal interactionplant morphological trait

Identifiers

PMID41999658
PMCPMC13362263

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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.