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WREN Webinar: Upscaling Wind and Wildlife Individual Interactions to Population-Level Impacts


When:
September 20, 2017 @ 11:00 am – 12:30 pm
2017-09-20T11:00:00-04:00
2017-09-20T12:30:00-04:00

Upscaling Wind and Wildlife Individual Interactions to Population-Level Impacts

Please join our webinar scheduled for Wednesday, September 20, 2017 from 15:00-16:30 UTC (8:00 am PT/11:00 am ET) developed as part of International Energy Agency’s Wind Task 34 (also known as WREN – Working Together to Resolve Environmental Effects of Wind Energy). This webinar series supports WREN’s goal to facilitate international collaboration that advances global understanding of environmental effects of offshore and land-based wind energy development.  Please feel free to forward this invite to others.

Speakers include:

  • Finlay Bennet, Marine Scotland Science
  • Kimberly Bay, WEST, Inc.
  • Shay Howlin, WEST, Inc.

Finlay will present a summary of a manuscript produced by the WREN collaborative on individual to population impacts. The manuscript provides an overview of how populations are defined, impacts measured, predicted and verified, and how impact thresholds can be applied for decision-making in the context of wind energy development.

Kim and Shay will present on WEST’s development of a quantitative assessment of the direct effects of wind energy on small passerines and diurnal raptors in North America.  In this assessment, they used advanced statistical analyses to estimate the annual rate of small passerines and diurnal raptor fatalities and provided an understanding of how wind energy directly effects species populations.

Webinar Information

  • Join the Webinar Herehttp://awwi.adobeconnect.com/wren/
  • Sign In: Select guest, enter your full name, and hit ‘Enter Room’
  • Audio: You will need computer speakers or headphones to listen to the audio through your computer. We will take written questions through the webinar system.
    • If you cannot listen to audio through your computer, please contact Elise DeGeorge at elise.degeorge@nrel.gov  for alternative access information.
  • Test Your ConnectionClick here to test your connection prior to the webinar.
  • HelpClick here for complete instructions on joining an Adobe Connect meeting, including trouble shooting options.
  • Mobile AccessClick here for information on how to join from a mobile device.

In this 90 minute WREN webinar, each speaker will provide a 15-20 minute presentation, followed by a question and answer session.

All webinars are archived on our WREN hub at: http://tethys.pnnl.gov.

Speaker Biographies

Finlay Bennett is Team Leader of the Renewable Energy & Environmental Assessment Programme of Marine Scotland Science, which is part of the Scottish Government. He is a member of the WREN group and also chairs the ICES working group on assessing the effects of Marine Renewable Energy. He has been working on assessing the effects of wind energy development for over 15 years, previously working for the Joint Nature Conservation Committee and Scottish Natural Heritage, both statutory advisors to government on nature conservation issues.

Kimberly J. Bay has worked with WEST since 2001, first as a Data Technician, then a Biometrician/Data and Report Manager, and currently as a Project Manager. She received her B.S. in Mathematics/Statistics in 2000 and her M.S. in Statistics in 2003 from the University of Wyoming. As Data and Report Manager, Kim developed and managed several large cumulative databases, which enables WEST to utilize data regarding wind-wildlife interactions from over 20 years of research across the U.S. to assess potential risk or impact to wildlife from wind-energy development.

Shay Howlin has been a consulting biometrician for WEST since 1999. She received her B.S. in Wildlife and Fisheries Science from the Pennsylvania State University and her M.S. in Statistics from Oregon State University. As a biometrician for WEST, Shay has been involved primarily in ecological monitoring studies and analyses, designing and estimating resource selection functions, conducting data analyses for wildlife research, and analyses associated with natural resource damage assessment cases.