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Sensitivity analyses for simulating pesticide impacts on honey bee colonies.
Kuan, A Carmen; DeGrandi-Hoffman, Gloria; Curry, Robert J; Garber, Kristina V; Kanarek, Andrew R; Snyder, Marcia N; Wolfe, Kurt L; Purucker, S Thomas.
Afiliação
  • Kuan AC; Oak Ridge Institute of Science and Education, Athens, GA, United States.
  • DeGrandi-Hoffman G; USDA Agricultural Research Service, Tucson, AZ, United States.
  • Curry RJ; Crystal River Consulting, Tucson, AZ, United States.
  • Garber KV; US EPA, Office of Pesticide Programs, Arlington, VA, United States.
  • Kanarek AR; US EPA, Office of Pesticide Programs, Arlington, VA, United States.
  • Snyder MN; US EPA, Office of Research and Development, Corvallis, OR, United States.
  • Wolfe KL; US EPA, Office of Research and Development, Athens, GA, United States.
  • Purucker ST; US EPA, Office of Research and Development, Athens, GA, United States.
Ecol Modell ; 376: 15-27, 2018 May 24.
Article em En | MEDLINE | ID: mdl-30147220
ABSTRACT
We employ Monte Carlo simulation and sensitivity analysis techniques to describe the population dynamics of pesticide exposure to a honey bee colony using the VarroaPop+Pesticide model. Simulations are performed of hive population trajectories with and without pesticide exposure to determine the effects of weather, queen strength, foraging activity, colony resources, and Varroa populations on colony growth and survival. The daily resolution of the model allows us to conditionally identify sensitivity metrics. Simulations indicate queen strength and forager lifespan are consistent, critical inputs for colony dynamics in both the control and exposed conditions. Adult contact toxicity, application rate and nectar load become critical parameters for colony dynamics within exposed simulations. Daily sensitivity analysis also reveals that the relative importance of these parameters fluctuates throughout the simulation period according to the status of other inputs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Ecol Modell Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Ecol Modell Ano de publicação: 2018 Tipo de documento: Article