Data release for: Does the quality and quantity of honey bee-collected pollen vary across an agricultural land-use gradient?
July 24, 2020
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.
Citation Information
| Publication Year | 2020 |
|---|---|
| Title | Data release for: Does the quality and quantity of honey bee-collected pollen vary across an agricultural land-use gradient? |
| DOI | 10.5066/P9DKMY4L |
| Authors | Michael P Simanonok, Clint R Otto, United States Geological Survey |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Northern Prairie Wildlife Research Center |
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Do the quality and quantity of honey bee-collected pollen vary across an agricultural land use gradient?
Pollen is the source of protein for most bee species, yet the quality and quantity of pollen is variable across landscapes and growing seasons. Understanding the role of landscapes in providing nutritious forage to bees is important for pollinator health, particularly in areas undergoing significant land-use change such as in the Northern Great Plains (NGP) region of the United States where grassl
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Do the quality and quantity of honey bee-collected pollen vary across an agricultural land use gradient?
Pollen is the source of protein for most bee species, yet the quality and quantity of pollen is variable across landscapes and growing seasons. Understanding the role of landscapes in providing nutritious forage to bees is important for pollinator health, particularly in areas undergoing significant land-use change such as in the Northern Great Plains (NGP) region of the United States where grassl
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Michael P. Simanonok, Clint R.V. Otto, Matthew D. Smart