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Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides

[Image: see text] 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. St...

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Autores principales: Rumkee, Jack C. O., Becher, Matthias A., Thorbek, Pernille, Kennedy, Peter J., Osborne, Juliet L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2015
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633771/
https://www.ncbi.nlm.nih.gov/pubmed/26444386
http://dx.doi.org/10.1021/acs.est.5b03593
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author Rumkee, Jack C. O.
Becher, Matthias A.
Thorbek, Pernille
Kennedy, Peter J.
Osborne, Juliet L.
author_facet Rumkee, Jack C. O.
Becher, Matthias A.
Thorbek, Pernille
Kennedy, Peter J.
Osborne, Juliet L.
author_sort Rumkee, Jack C. O.
collection PubMed
description [Image: see text] 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 LD(50,) we propose a new index of “lethal imposed stress”: the LIS(50) which indicates the level of stress on individuals that results in 50% colony mortality. This (or any LIS(x)) 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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spelling pubmed-46337712015-11-13 Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides Rumkee, Jack C. O. Becher, Matthias A. Thorbek, Pernille Kennedy, Peter J. Osborne, Juliet L. Environ Sci Technol [Image: see text] 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 LD(50,) we propose a new index of “lethal imposed stress”: the LIS(50) which indicates the level of stress on individuals that results in 50% colony mortality. This (or any LIS(x)) 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. American Chemical Society 2015-10-07 2015-11-03 /pmc/articles/PMC4633771/ /pubmed/26444386 http://dx.doi.org/10.1021/acs.est.5b03593 Text en Copyright © 2015 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Rumkee, Jack C. O.
Becher, Matthias A.
Thorbek, Pernille
Kennedy, Peter J.
Osborne, Juliet L.
Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title_full Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title_fullStr Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title_full_unstemmed Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title_short Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides
title_sort predicting honeybee colony failure: using the beehave model to simulate colony responses to pesticides
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633771/
https://www.ncbi.nlm.nih.gov/pubmed/26444386
http://dx.doi.org/10.1021/acs.est.5b03593
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