ArticleEnvironmental science & technology2015
Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides.
Article in Environmental science & technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 45 citations in OpenAlex.
- Pesticide residues in honey bee (Apis mellifera) pollen collected in two ornamental plant nurseries in Connecticut: Implications for bee health and risk assessment.Environmental pollution (Barking, Essex : 1987) · 2023Article
- Water provisioning increases caged worker bee lifespan and caged worker bees are living half as long as observed 50 years ago.Scientific reports · 2022Article
- Simulation of Varroa mite control in honey bee colonies without synthetic acaricides: Demonstration of Good Beekeeping Practice for Germany in the BEEHAVE model.Ecology and evolution · 2022Article
- The BEEHAVEEnvironmental toxicology and chemistry · 2022Article
- Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional Networks.Sensors (Basel, Switzerland) · 2021Article
- A systems-based approach to the environmental risk assessment of multiple stressors in honey bees.EFSA journal. European Food Safety Authority · 2021Article
- Honeybee colonies compensate for pesticide-induced effects on royal jelly composition and brood survival with increased brood production.Scientific reports · 2021Article
- Long-term effects of antibiotic treatments on honeybee colony fitness: A modelling approach.The Journal of applied ecology · 2021Article
- Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.Ecological applications : a publication of the Ecological Society of America · 2021Article
- Honey bee colony-level exposure and effects in realistic landscapes: An application of BEEHAVE simulating clothianidin residues in corn pollen.Environmental toxicology and chemistry · 2019Article
- The challenges of predicting pesticide exposure of honey bees at landscape level.Scientific reports · 2017Article
- BEESCOUT: A model of bee scouting behaviour and a software tool for characterizing nectar/pollen landscapes for BEEHAVE.Ecological modelling · 2016Article
- Flight performance of actively foraging honey bees is reduced by a common pathogen.Environmental microbiology reports · 2016Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
To simulate effects of pesticides on different honeybee (Apis mellifera L.) life stages, we used the BEEHAVE model to explore how increased mortalities of larvae, in-hive workers, and foragers, as well as reduced egg-laying rate, could impact colony dynamics over multiple years. Stresses were applied for 30 days, both as multiples of the modeled control mortality and as set percentage daily mortalities to assess the sensitivity of the modeled colony both to small fluctuations in mortality and periods of low to very high daily mortality. These stresses simulate stylized exposure of the different life stages to nectar and pollen contaminated with pesticide for 30 days. Increasing adult bee mortality had a much greater impact on colony survival than mortality of bee larvae or reduction in egg laying rate. Importantly, the seasonal timing of the imposed mortality affected the magnitude of the impact at colony level. In line with the LD50, we propose a new index of "lethal imposed stress": the LIS50 which indicates the level of stress on individuals that results in 50% colony mortality. This (or any LISx) is a comparative index for exploring the effects of different stressors at colony level in model simulations. While colony failure is not an acceptable protection goal, this index could be used to inform the setting of future regulatory protection goals.
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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.