ArticlePeerJ2022
Forest tree species distribution for Europe 2000-2020: mapping potential and realized distributions using spatiotemporal machine learning.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- A dataset to support wildland fire and fuel management in Greece created with stochastic wildfire simulations.Data in brief · 2026Article
- Integrating climate scenarios and advanced modeling to predict freshwater fish invasions: insights from Carassius species in Iran.Scientific reports · 2025Article
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- Improving Distribution Prediction by Integrating Expert Range Maps and Opportunistic Occurrences: Evidence From Japanese Sea Cucumber.Ecology and evolution · 2025Article
- The species distribution model based on the random forest algorithm reveals the distribution patterns of Neophocaena asiaeorientalis.Scientific reports · 2025Article
- Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.Scientific reports · 2025Article
- Annual 30-m maps of global grassland class and extent (2000-2022) based on spatiotemporal Machine Learning.Scientific data · 2024Article
- Article
- Risk factors for tick attachment in companion animals in Great Britain: a spatiotemporal analysis covering 2014-2021.Parasites & vectors · 2024Article
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- Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study.Journal of medical Internet research · 2023Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article describes a data-driven framework based on spatiotemporal machine learning to produce distribution maps for 16 tree species (
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.