Using Nature to Monitor Nature with BeeODiversity Monitoring Programs
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Using Nature to Monitor Nature with BeeODiversity Monitoring Programs

What do beekeepers, AI, and environmental monitoring all have in common? Join our webinar to learn and find out!

By SINERR Coastal Training Program

Date and time

Tuesday, July 30 · 7 - 9am PDT

Location

Online

About this event

  • 2 hours

We have to save the bees, but can bees help us save the planet? That’s the mission of BeeOdiversity, a company that is using bees to track environmental quality and biodiversity in precise detail over large areas. We will be learning about BeeODiversity, their projects, and how you can use their services for environmental monitoring, biodiversity monitoring, restoration efforts, water quality monitoring, invasive species management, and more!

Bees are pollinators, who transfer pollen from plant to plant. Researchers at BeeOdiversity have developed a process for analyzing that same pollen to determine incredible amounts of information about the environment and created analytic and communication tools to make this data available to communities, companies, and others. They work with bees and local beekeepers to gather pollen over a wide area and then analyze pollen samples to establish and monitor precise data on environmental quality, biodiversity, and related action opportunities and outcomes.

A colony of bees can collect pollen samples from 4 billion different plants, covering an area up to 1800 acres, in just one year. That’s a lot of data! And it allows BeeOdiversity to cost-effectively create outputs from this data that may be useful to you! Join us to learn more!

Organized by

The Sapelo Island National Estuarine Research Reserve (SINERR) Coastal Training Program addresses coastal issues by cooperating with regional partners to deliver professional training programs based upon the most current scientific knowledge available. Workshops, seminars, and lectures are offered covering a range of topics from estuarine ecology and storm-water runoff to climate change and social science.