The BEEHAVE
Ecotoxicology
honeybee
pesticides
population modeling
risk assessment
Journal
Environmental toxicology and chemistry
ISSN: 1552-8618
Titre abrégé: Environ Toxicol Chem
Pays: United States
ID NLM: 8308958
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
revised:
10
02
2022
received:
21
12
2021
accepted:
15
08
2022
pubmed:
31
8
2022
medline:
25
10
2022
entrez:
30
8
2022
Statut:
ppublish
Résumé
Mechanistic effect models are powerful tools for extrapolating from laboratory studies to field conditions. For bees, several good models are available that can simulate colony dynamics. Controlled and reliable experimental systems are also available to estimate the inherent toxicity of pesticides to individuals. However, there is currently no systematic and mechanistic way of linking the output of experimental ecotoxicological testing to bee models for bee risk assessment. We introduce an ecotoxicological module that mechanistically links exposure with the hazard profile of a pesticide for individual honeybees so that colony effects emerge. This mechanistic link allows the translation of results from standard laboratory studies to relevant parameters and processes for simulating bee colony dynamics. The module was integrated into the state-of-the-art honeybee model BEEHAVE. For the integration, BEEHAVE was adapted to mechanistically link the exposure and effects on different cohorts to colony dynamics. The BEEHAVE
Identifiants
pubmed: 36040132
doi: 10.1002/etc.5467
pmc: PMC9828121
doi:
Substances chimiques
Pesticides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2870-2882Informations de copyright
© 2022 Bayer AG & Sygenta, et al. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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