ArticleiScience2026
Tracing pesticides through terrestrial food webs with wildlife at risk.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pesticides support food production but can pose ecological risks through trophic transfer in terrestrial ecosystems. Current approaches integrating contamination evidence across trophic levels with toxicokinetic and spatial models remain limited for wildlife. Here, we present an integrative framework linking empirical contamination data, physiologically based pharmacokinetic modeling, and spatial risk mapping to evaluate pesticide transfer across terrestrial food webs. Using published data from 100 studies across 30 countries, we calculated relative contamination scores for soils, plants, and wildlife and reconstructed average daily doses for representative herbivores, omnivores, and carnivores. Hazard quotients and ecological carcinogenic risks were estimated using international toxicological benchmarks. Results show pronounced spatial heterogeneity and evidence of trophic magnification for several persistent organic pollutants, with higher modeled risks in carnivores than herbivores under comparable environmental burdens. Geographic coverage remains uneven, limiting global inference. The framework is scalable but broader empirical data and independent validation are needed for robust generalizations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.