Theory & Synthesis

Announcement! The Theory Working Group paper, “The Power of Forecasts to Advance Ecological Theory” came out Methods in Ecology and Evolution in August 2022.

Is nature predictable? Looking broadly across ecological subdisciplines, are there common patterns to what limits the predictability of different types of problems? Answering many of the deep, overarching questions in ecology requires us to develop new theory about predictability itself. It also requires synthesis across a small but rapidly growing catalog of ecological forecasts. Finally, forecasting itself is inherently synthetic, as making specific, quantitative predictions requires the fusion of our prior data and our current theories (as embedded in the models we use).  Prediction provides a means of unification by assessing our ability to extrapolate not just within individual problems but across them; it implies we understand something general about how ecological systems work. These are the big-picture problems the  EFI Theory & Synthesis working group aims to tackle.

Theory Working Group Schedule of Calls:
The Theory Group will meet on Mondays at 2pm US Eastern on September 11, October 16, November 13, and December 18. A new schedule of calls will be developed for January to May 2024. We are always open to people joining the calls, contact us at eco4cast.initiative@gmail.com.

Theory Resources

The Theory group is working on creating models for submitting forecasts to all the themes in the NEON Forecasting Challenge. During the April 2023 call, Caleb Robbins (Baylor University) shared how to use the tidymodels framework in R which is useful for creating Machine Learning models for forecasts.
Amanda Gallinat’s overview of the Theory Group’s activities for the EFI 2022 Conference held May 23-25, 2022.

Notes from Working Group Calls
Co-chairs: Abby Lewis (Virginia Tech), Shubhi Sharma (Yale University)
Former co-chairs: Amanda Gallinat (University of Wisconsin-Milwaukee), Peter Adler (Utah State University)

  1. September 11, 2023
  2. August 14, 2023
  3. July 10, 2023
  4. June 12, 2023
  5. May 15, 2023
  6. April 17, 2023
  7. March 20, 2023
  8. February 27, 2023
  9. January 23, 2023
  10. December 7, 2022
  11. November 2, 2022
  12. October 5, 2022
  13. September 14, 2022
  14. August 9, 2022
  15. July 12, 2022
  16. June 7, 2022
  17. May 3, 2022
  18. April 5, 2022
  19. March 8, 2022
  20. February 8, 2022
  21. January 11, 2022
  22. December 14, 2021
  23. November 16, 2021
  24. October 19, 2021
  25. September 28, 2021
  26. August 16, 2021
  27. July 19, 2021
  28. June 21, 2021
  29. May 24, 2021
  30. April 26, 2021
  31. March 22, 2021
  32. February 22, 2021
  33. January 25, 2021
  34. December 16, 2020
  35. November 18, 2020
  36. October 14, 2020
  37. September 16, 2020
  38. August 18, 2020
  39. July 21, 2020
  40. June 23, 2020
  41. May 26, 2020
  42. April 28, 2020
  43. April 2, 2020
  44. March 10, 2020
  45. February 20, 2020
  46. December 3, 2019
  47. November 12, 2019
  48. October 29, 2019
  49. October 1, 2019
  50. August 20, 2019
  51. July 14, 2019