Webinars and Online Resources

Upcoming Webinars:

AIM Data Use Webinar Series 2020

Wednesdays, 2 PM MST, May 20th – September 9th

  • May 20th: Multi-program AIM applications in Uncompahgre FO with Ken Holsinger and Jedd Sondergard
  • May 27th: Working with the AIM Data Portal with Mike Rock of the National AIM Team
  • June 3rd: Developing vegetation treatment monitoring strategies using AIM principles with Nika Lepak
  • June 17th: Integrating AIM into the Land Treatment Exploration Tool with David Pilliod
  • July 1st: Monitoring the efficacy and impacts of targeted grazing for fuel break creation with Pat Clark
  • July 8th: National AIM Reporting with Emily Kachergis of the National AIM Team
  • July 15th: Interpreting Indicators of Rangeland Health, Version 5 with Nika Lepak and Jenni Moffit
  • July 22nd: Weighted Analysis for HAF with Cody Ray of Shoshone FO
  • August 5th: Developing State, District, and Field Office Scale Lotic Reporting Templates with Scott Miller of the National AIM Team and Justin Jimenez from BLM Utah
  • August 12th: AIM in a controversial grazing permit renewal in Nevada with Cassy Rivas
  • August 19th: AIM and watershed assessments and OBGA with Cheryl Newberry
  • August 26th: Ecological Site Summaries and Applications for Condition Thresholds and Treatment Monitoring
  • September 2nd: Weeds and desert tortoise in the Southern Nevada District Office with Lara Kobelt
  • September 9th: Using AIM data for wind erosion assessments with Nick Webb of the Jornada

These resources for AIM project leads and data collectors can help clarify some of the potentially more confusing aspects of AIM. Each Webinar takes approximately one hour to complete and covers information like data QA/QC, Electronic Data Capture, monitoring design and more. If you would like to see a webinar on a topic that has not yet been addressed, please contact the AIM team with your request.

Society for Rangeland Management 2020 AIM Terrestrial Demo Materials:

Intro_to_AIM_2019, DemoDay_Soils, DemoDay_Terrestrial Core Methods

Comments are closed.