Abstract
Predicting Varroa: Longitudinal Data, Micro Climate, and Proximity Closeness Useful for Predicting Varroa Infestations (I1.A1)
Highlights
Varroa destructor is an ectoparasitic mite, and currently poses one of the most serious threats to the western honey bee (Apis mellifera)
Possible research questions include but not limited to: What impact does seasonality have on the varroa infestation of western honey bees in a given environment? How have weather factors affected infestation rates? What is the relationship between proximity to other hives and infestation rates? What are the main spatial and temporal dimension factors that influence Varroa infestations?
The dataset in this article consists of an eight-year survey of varroa infestation rates of honey bee colonies in Austria and the potential factors that impact these infestation rates
Summary
Data Overview: An eight-year survey of Varroa destructor infestation rates of western honey bee (Apis mellifera) colonies across Austria and the spatial dimension, temporal dimension and weather factors that impact these infestation rates. Aligning with the UN sustainability goals 15: Life on Land and secondly 2: End Hunger, this dataset provides tools to predict colony loss of the western honey bee population; allowing beekeepers to implement disaster risk reduction strategies to reduce biodiversity loss and ensure pollination of the world’s food crops. Data Description: The data contains 6 tables including user, yard, hive, varroa sampling, station and weather data. Predictive Six tables: user, yard, hive, varroa_sampling, station, and weather.
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