Evidence map›Paper›PMID 42566067›Full record

ArticleOecologia2026

Metabarcoding reveals the dietary diversity and food web structure of spider functional guilds in a highly diverse subtropical forest.

Jingting Chen, Mingqiang Wang, Arong Luo, Zhe Zhao, Feng Zhang, Douglas Chesters, Xiaoyu Shi, Andreas Schuldt, Chaodong Zhu

Abstract read
In one paragraph

Article in Oecologia, 2026. 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

9 authors.

Jingting ChenCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China.ORCID http://orcid.org/0000-0002-3350-3478
Mingqiang WangKey Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Arong LuoCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China.
Zhe ZhaoCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China.
Feng ZhangDepartment of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing, 210095, China.
Douglas ChestersCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China.
Xiaoyu ShiCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China.
Andreas SchuldtForest Nature Conservation, University of Göttingen, Büsgenweg 3, 37077, Göttingen, Germany. andreas.schuldt@forst.uni-goettingen.de.
Chaodong ZhuCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, Beijing, 100101, China. zhucd@ioz.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predator-prey interactions are key to regulating lower trophic levels and stabilizing ecosystem processes. Therefore, understanding prey selection and prey composition of predators is essential, yet especially the small size and diverse diets of predatory arthropods present a significant challenge to conventional field methods. Here, we employed DNA metabarcoding on gut contents of over 1500 arboreal spiders in a subtropical forest in China to construct a high-resolution spider-prey interaction network. Subsequently, we compared prey diversity, composition, starvation rates, and network metrics (predator niche overlap, generality, and prey vulnerability) across different spider hunting guilds and families. Our results revealed an exceptionally broad diet for these spiders, with spiders themselves constituting a significant proportion of prey (i.e. spider on spider predation), besides a wide range of insects, particularly flies and moths. Although, prey composition was broadly similar at high taxonomic levels and functional groups, distinct dietary partitioning was evident at lower (MOTU) taxonomic level. Interaction networks revealed a broader and more generalized diet spectrum of active-hunters compared to web-builders, which resulted in higher diet overlap within the hunting guild (high prey vulnerability and niche overlap). However, network metrics for active hunters were lower than null expectations, suggesting a structuring role of intraspecific competition, while web-builders displayed greater random associations, possibly reflective of the passive mode of prey capture. Collectively, our study offers a high-resolution overview of the dietary niches of subtropical arboreal spiders, revealing how hunting mode shapes their ecological impact and providing significant implications for leveraging these predators in biological control strategies.

Indexed as

Food ChainSpidersAnimalsChinaDietDNA Barcoding, TaxonomicForestsPredatory BehaviorAraneaeDietHunting modeMetabarcodingNetwork

Identifiers

PMID42566067
PMCPMC13451308

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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.