Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset
Land use was quantified within a 4-km radius around 36 apiaries in North Dakota, South Dakota, and Minnesota over two years, 2015-16 and 2016-17. The area (hectares) of Ag (corn, soy, small grains), Grass (pasture, grassland, fallow land, wildflowers, shrub land, and hay land), Wetlands (herbaceous and woody), and Bee crops (alfalfa, canola, sunflower) were quantified around each apiary in each year. Within each apiary, the average change in frames of adult bees among all colonies from June to September was calculated. Additionally, the average September Varroa mite infestation rate, the average adult population size during almond pollination, the count of colonies exhibiting queen events in September, and the count...
Using colony monitoring devices to evaluate the impacts of land use and forage quality on honey bee health datasets
Honey bee colonies located in 2 apiaries in North Dakota were fitted with two types of monitoring device: pollen traps and scales. Data were collected from devices periodically throughout the 2014 season (May-October). Data derived from pollen traps included: the total fresh weight of pollen collected, the percent crude protein content, the percent content of each amino acid, and DNA identification of floral plant sources. Scales collected colony weight through time.
Data release for: ‘Do the quality and quantity of honey bee-collected pollen vary across an agricultural land-use gradient?’
This dataset includes pollen sample weight in grams and percent crude protein collected by honey bees (Apis mellifera) across 38 apiaries in Minnesota, North Dakota, and South Dakota approximately weekly from June through September in 2015 and 2016. Additionally it includes the hectares of different land covers (corn, Zea mays, & soybeans, Glycine max, grasslands, bee forage crops, and wetlands) located within a 4 km radius of each apiary.