ArticleScientific reports2021
Summer weather conditions influence winter survival of honey bees (Apis mellifera) in the northeastern United States.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Diet Quality Shapes Metabolic and Immune Transcriptional Responses of Honey Bees Under Acute Heat Stress.Insects · 2026Article
- Diagnostic Techniques and Epidemiological Methods for Parasites in Beekeeping: Considerations and Perspectives.Pathogens (Basel, Switzerland) · 2026Review
- Advanced Research on Biological Properties-A Study on the Activity of theInternational journal of molecular sciences · 2025Article
- Poor air quality raises mortality in honey bees, a concern for all pollinators.Communications earth & environment · 2025Article
- Review
- Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It.Insects · 2024Review
- Current honey bee stressor investigations and mitigation methods in the United States and Canada.Journal of insect science (Online) · 2024Article
- Effective pest management approaches can mitigate honey bee (Apis mellifera) colony winter loss across a range of weather conditions in small-scale, stationary apiaries.Journal of insect science (Online) · 2024Article
- Warmer autumns and winters could reduce honey bee overwintering survival with potential risks for pollination services.Scientific reports · 2024Article
- Understanding how environmental degradation, microclimate, and management shape honey production across different spatial scales.Environmental science and pollution research international · 2024Article
- Brood indicators are an early warning signal of honey bee colony loss-a simulation-based study.PloS one · 2024Article
- Estimates of the vitality and performances ofPeerJ · 2024Article
- Article
- Mediating a host cell signaling pathway linked to overwinter mortality offers a promising therapeutic approach for improving bee health.Journal of advanced research · 2023Article
- Molecular Detection and Phylogenetic Analysis of Deformed Wing Virus and Sacbrood Virus Isolated from Pollen.Veterinary sciences · 2023Article
- Honey bee colony loss linked to parasites, pesticides and extreme weather across the United States.Scientific reports · 2022Article
- Some Considerations about Winter Colony Losses in Italy According to the Coloss Questionnaire.Insects · 2022Article
- Annual Fluctuations in Winter Colony Losses ofInsects · 2022Article
- The Epidemiological Situation of the Managed Honey Bee (Veterinary sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Honey bees are crucial pollinators for agricultural and natural ecosystems, but are experiencing heavy mortality in North America and Europe due to a complex suite of factors. Understanding the relative importance of each factor would enable beekeepers to make more informed decisions and improve assessment of local and regional habitat suitability. We used 3 years of Pennsylvania beekeepers' survey data to assess the importance of weather, topography, land use, and management factors on overwintering mortality at both apiary and colony levels, and to predict survival given current weather conditions and projected climate changes. Random Forest, a tree-based machine learning approach suited to describing complex nonlinear relationships among factors, was used. A Random Forest model predicted overwintering survival with 73.3% accuracy for colonies and 65.7% for apiaries where Varroa mite populations were managed. Growing degree days and precipitation of the warmest quarter of the preceding year were the most important predictors at both levels. A weather-only model was used to predict colony survival probability, and to create a composite map of survival for 1981-2019. Although 3 years data were likely not enough to adequately capture the range of possible climatic conditions, the model performed well within its constraints.
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.