Evidence map›Paper›PMID 40620174›Full record

ArticleThe Journal of animal ecology2025

Bottom-up and top-down effects combine to drive predator-prey interactions in a forest biodiversity experiment.

Jing-Ting Chen, Ming-Qiang Wang, Arong Luo, Feng Zhang, Douglas Chesters, Shanlin Liu, Yi Li, Goddert von Oheimb, Matthias Kunz, Qing-Song Zhou and 5 more

Abstract read
In one paragraph

Article in The Journal of animal ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

15 authors.

Jing-Ting ChenCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-3350-3478
Ming-Qiang WangForest Nature Conservation, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-3175-2200
Arong LuoCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Feng ZhangDepartment of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing, China.
Douglas ChestersCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Shanlin LiuCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-8118-8313
Yi LiState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Goddert von OheimbTechnische Universität Dresden, Institute of General Ecology and Environmental Protection, Tharandt, Germany.
Matthias KunzTechnische Universität Dresden, Institute of General Ecology and Environmental Protection, Tharandt, Germany.
Qing-Song ZhouCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Helge BruelheideInstitute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.ORCID https://orcid.org/0000-0003-3135-0356
Xiao-Juan LiuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-9292-4432
Ke-Ping MaState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-9112-5340
Andreas SchuldtForest Nature Conservation, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-8761-0025
Chao-Dong ZhuCAS State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (SKLA2501), Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-9347-3178

Funding

Deutsche Forschungsgemeinschaft 319936945/GRK2324Deutsche Forschungsgemeinschaft 452861007/FOR5281Key Program of the National Natural Science Foundation of China 32330013National Key Research Development Program of China 2022YFF0802300National Science Fund for Excellent Young Scholars 32122016Strategic Priority Research Program of the Chinese Academy of Science XDB31030402
6 · The paper itself

Abstract

The bottom-up effect of producers and the top-down effect of predators are well-known factors shaping community assembly and ecosystem functioning through trophic interactions. Communities differing in their functional composition may induce ecological effects with varying directions and intensities, but previous studies in highly diverse ecosystems have struggled with reliably quantifying these interactions at the community level. We used spider gut-content metabarcoding in a subtropical tree diversity experiment to examine the impact of multiple diversity components of both trees and spiders on prey diversity and the network structure of predator-prey interactions. Our findings reveal that prey richness and spider-prey network structure are simultaneously driven by the bottom-up effects of tree communities and the top-down effects of the spider communities. When categorized by hunting modes, the drivers of prey richness and network structure differed between spider guilds. Large phylogenetic and functional differences within web-building spider communities promoted coexistence, leading to increases in the utilized prey richness, generality, niche overlap and prey vulnerability. For hunting spiders, the effects of vertical tree structure complexity indicated restricted mobility but facilitated coexistence through increased shelter availability, and a concomitant reduction of prey richness and dietary breadth. Our study underscores the significance of integrating multiple diversity components and considering functional trait composition across trophic levels when analysing the ecological effects of generalist predators. Our findings enable a better understanding of how predator-prey interaction patterns may be altered under current environmental changes that result in biodiversity loss.

Indexed as

BiodiversityFood ChainForestsPredatory BehaviorSpidersTreesAnimalsarthropodbottom‐up and top‐down controldietmetabarcodingpredator–prey interactiontree diversitytrophic interaction

Identifiers

PMID40620174
PMCPMC12484389

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.