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SDG 6 | Understanding Grass Carp Spawning Behavior to Enhance Lake Management | Ryan Brown

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Manage episode 434471823 series 2817616
Content provided by Kevin Sofen & James Armour, Kevin Sofen, and James Armour. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Sofen & James Armour, Kevin Sofen, and James Armour or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How can simulations combat sampling bias?

Thanks for joining us for another episode of highlighting change makers and their inspirational work towards the United Nations Sustainable Development Goals (SDGs).

In this episode:

  • Why is timing in spawning behavior important?

  • Using simulations to combat sampling bias and improve data accuracy in lake management

  • How does Wisconsin Water Week explore diverse topics and specializations in lake management?

Learn from ⁠Ryan Brown⁠ - a Field Research Data Manager at the University of Toledo.

Ryan talks about his research on invasive grass carp in Lake Erie, emphasizing the importance of timing in their spawning behavior. He explains how understanding spawning timing can help removal crews increase their efficiency in removing adult fish.

Ryan also discusses the use of simulations to combat sampling bias and improve data accuracy. He concludes by highlighting future research on grass carp and its potential benefits for lake management.

Click play now to soak up what he has to share!

To learn more and get involved with ongoing efforts in Wisconsin, visit the partner websites:

Let’s get SDG Talking!!

Do you have a good story or want to collaborate? Send us an email at [email protected] and we will get back to you as soon as we can.

And don’t forget to check out our Virtual Roundtables on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠

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135 episodes

Artwork
iconShare
 
Manage episode 434471823 series 2817616
Content provided by Kevin Sofen & James Armour, Kevin Sofen, and James Armour. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Sofen & James Armour, Kevin Sofen, and James Armour or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How can simulations combat sampling bias?

Thanks for joining us for another episode of highlighting change makers and their inspirational work towards the United Nations Sustainable Development Goals (SDGs).

In this episode:

  • Why is timing in spawning behavior important?

  • Using simulations to combat sampling bias and improve data accuracy in lake management

  • How does Wisconsin Water Week explore diverse topics and specializations in lake management?

Learn from ⁠Ryan Brown⁠ - a Field Research Data Manager at the University of Toledo.

Ryan talks about his research on invasive grass carp in Lake Erie, emphasizing the importance of timing in their spawning behavior. He explains how understanding spawning timing can help removal crews increase their efficiency in removing adult fish.

Ryan also discusses the use of simulations to combat sampling bias and improve data accuracy. He concludes by highlighting future research on grass carp and its potential benefits for lake management.

Click play now to soak up what he has to share!

To learn more and get involved with ongoing efforts in Wisconsin, visit the partner websites:

Let’s get SDG Talking!!

Do you have a good story or want to collaborate? Send us an email at [email protected] and we will get back to you as soon as we can.

And don’t forget to check out our Virtual Roundtables on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠

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