ArticleEcology and evolution2026
Anthropogenic Infrastructures Shape Brown Bear Movements in Human-Modified Landscapes.
Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
- Correction to "Anthropogenic Infrastructures Shape Brown Bear Movements in Human-Modified Landscapes".Ecology and evolution · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Europe, large carnivore populations have faced a history of persecution and habitat alteration, varying in magnitude across their distribution. Individual animals have developed diverse adaptations to these anthropogenic activities, in most cases to avoid them but in some cases to exploit novel resources in the human-modified environments they inhabit. Here, we used long-term GPS-telemetry data from 108 brown bears
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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.