Understanding crop performance and pest control under climate change requires considering interactions among warming, elevated CO

Syuan-Jyun Sun, Xin-Yi Lee, Ying-Jie Wang, Wen-Po Chuang, Shaw-Yhi Hwang, Chuan-Kai Ho

Abstract read

In one paragraph

Article in Scientific reports, 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

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.

Predictive modeling of pest spread in tea plants using an intelligent computational approach.Scientific reports · 2026
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.

Syuan-Jyun SunInstitute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan.

Xin-Yi LeeInstitute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan.

Ying-Jie WangInstitute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan.

Wen-Po ChuangDepartment of Agronomy, National Taiwan University, Taipei, Taiwan.

Shaw-Yhi HwangDepartment of Entomology, National Chung-Hsing University, Taichung, Taiwan.

Chuan-Kai HoInstitute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan. ckho@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 108-2621-B-002-003-MY3Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 111-2621-B-002-003-MY3

6 · The paper itself

Abstract

Investigating the combined effects of climate change and species interactions on species advances climate change research. However, such combined effects are understudied and may defy current hypotheses that focus on individual effects. We empirically examined how multiple environmental stressors (elevated temperature and CO

Indexed as

Carbon DioxideClimate ChangeCrops, AgriculturalGlycine maxPest ControlAnimalsAphidsColeopteraFood ChainHerbivoryTemperatureCarbon DioxideAbiotic-biotic interactionsAgroecosystemBiocontrolClimate changeElevated CO2Plant-animal interactionsTri-trophic interactionsWarming

Identifiers

PMID41219386

DOI10.1038/s41598-025-23639-y

PMCPMC12606088

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.