ArticlePloS one2016
climwin: An R Toolbox for Climate Window Analysis.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled 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.
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
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Changes in phenology mediate vertebrate population responses to temperature globally.Nature communications · 2026Pooled it
- Automated Acoustic Recogniser Reveals Spatial Variation in Seasonal Calling of the Range-Restricted Magnificent Broodfrog (Ecology and evolution · 2026Article
- Impact of climate warming on Oncomelania hupensis in China: multi-scale evidence.Infectious diseases of poverty · 2026Article
- Extreme weather effects on marine predator breeding outcomes in a global climate change hotspot.Science advances · 2026Article
- Genes Versus Environment: Body Size Variation Among Recruitment Cohorts of Dungeness Crab.Molecular ecology · 2026Article
- Phenological plasticity enables thermal homeostasis in a wild bird population.Science advances · 2026Article
- Multiannual environmental forcing shapes breeding phenology and success in a sub-Antarctic seabird.Science advances · 2026Article
- Artificial Shelters as a Monitoring and Conservation Tool for Terrestrial Breeding Frogs.Ecology and evolution · 2026Article
- Refining Capture and Collaring Protocols for Red Foxes.Ecology and evolution · 2026Article
- Divergent climate impacts despite similar response to temperature in a widespread aerial insectivore.bioRxiv : the preprint server for biology · 2025Article
- Complex effects of climatic variation on bumblebee queen fitness.The Journal of animal ecology · 2025Article
- Weather drivers of reproductive variability in perennial plants and their implications for climate change risks.Nature communications · 2025Article
- Small-Scale Stabilizing Effect of Asynchrony in Vital Rate Responses to Climate in an Imperiled Dune Thistle.Ecology and evolution · 2025Article
- Species' traits modulate rapid changes in flight time in high-Arctic muscid flies under climate change.Proceedings. Biological sciences · 2025Article
- Crop yield loss under high insecticide regime driven by reduction in natural pest control.Proceedings. Biological sciences · 2025Article
- Body size as a mediator of climatic effects: Insights from a long-term study of social Iberian magpies.Ecology · 2025Article
- Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology.Proceedings. Biological sciences · 2025Article
- Rainfall is associated with divorce in the socially monogamous Seychelles warbler.The Journal of animal ecology · 2025Article
- Heat shock protein gene expression varies among populations but does not strongly track recent environmental conditions: implications for biomarker development.Frontiers in physiology · 2025Article
- Geographic differences in the phenology of gonadal development and moult, but not of egg laying, are genetically based in a small songbird.Proceedings. Biological sciences · 2025Article
5 more citing papers are in PubMed but not listed here.
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
When studying the impacts of climate change, there is a tendency to select climate data from a small set of arbitrary time periods or climate windows (e.g., spring temperature). However, these arbitrary windows may not encompass the strongest periods of climatic sensitivity and may lead to erroneous biological interpretations. Therefore, there is a need to consider a wider range of climate windows to better predict the impacts of future climate change. We introduce the R package climwin that provides a number of methods to test the effect of different climate windows on a chosen response variable and compare these windows to identify potential climate signals. climwin extracts the relevant data for each possible climate window and uses this data to fit a statistical model, the structure of which is chosen by the user. Models are then compared using an information criteria approach. This allows users to determine how well each window explains variation in the response variable and compare model support between windows. climwin also contains methods to detect type I and II errors, which are often a problem with this type of exploratory analysis. This article presents the statistical framework and technical details behind the climwin package and demonstrates the applicability of the method with a number of worked examples.
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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.