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Data to support Minucci et al. 2021 Ecological Applications
The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin.
Model input data (Minucci 2021a) are available on Figshare: https://doi.org/10.6084/m9.figshare.c.5402901.v1. Scripts (Minucci 2021b) to run this analysis are available on Zenodo: https://doi.org/10.5281/zenodo.4721797.
This dataset is associated with the following publication:
Minucci, J., R.J. Curry, G. DeGrandi-Hoffman, C. Douglass, K. Garber, and S. Purucker. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 31(8): e02442, (2021).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Jeffrey Minucci",
"hasEmail": "mailto:minucci.jeffrey@epa.gov"
}
|
| description | The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin. Model input data (Minucci 2021a) are available on Figshare: https://doi.org/10.6084/m9.figshare.c.5402901.v1. Scripts (Minucci 2021b) to run this analysis are available on Zenodo: https://doi.org/10.5281/zenodo.4721797. This dataset is associated with the following publication: Minucci, J., R.J. Curry, G. DeGrandi-Hoffman, C. Douglass, K. Garber, and S. Purucker. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 31(8): e02442, (2021). |
| distribution |
[
{
"title": "https://figshare.com/collections/Data_to_support_Minucci_et_al_2021_Ecological_Applications/5402901/1",
"accessURL": "https://figshare.com/collections/Data_to_support_Minucci_et_al_2021_Ecological_Applications/5402901/1"
},
{
"title": "https://zenodo.org/record/4721797#.YR0rR4hKiUk",
"accessURL": "https://zenodo.org/record/4721797#.YR0rR4hKiUk"
}
]
|
| identifier | https://doi.org/10.23719/1523022 |
| keyword |
[
"Bayesian inference",
"Honey bees (Apis mellifera)",
"Risk Assessment",
"approximate Bayesian computation",
"colony feeding study",
"colony models",
"pesticides"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2021-04-26 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1002/eap.2442"
]
|
| rights |
null
|
| title | Data to support Minucci et al. 2021 Ecological Applications |
