Presentations | QUEST: Quantifying Uncertainty in Ecosystem Studies | ESF
e s f home link - e s f college of environmental science and forestry
e s f home link - e s f college of environmental science and forestry

QUEST Presentations

University of Southampton Statistics Seminar, Southampton, England, May 25, 2018

Ruth Yanai. Quantifying uncertainty in ecosystem studies (QUEST). Presentation

Forest Research, Forestry Commission, Edinburgh, Scotland, May 21, 2018

Ruth Yanai. Quantifying uncertainty in ecosystem studies (QUEST).

 Penn State seminar series on Energy and Nutrient Movement through Ecological Systems: An Ode to Odum, University Park, PA, November 13, 2017

Ruth Yanai. Quantifying uncertainty in ecosystem studies (QUEST).

Global Forest Observations Initiative, Zapopan, Mexico, June 6-8, 2017

Ruth Yanai. Propagating uncertainty in allometric models. Presentation | Interview

23rd Conference on Applied Climatology, American Meteorological Society, Asheville, NC, June 26-28, 2017

Christopher Daly, Oregon State Univ., Corvallis, OR; and M. E. Slater,J. A. Roberti, S. H. Laseter, and L. W. Swift Jr. 2017. High-Resolution Precipitation Mapping in a Mountainous Watershed: Ground Truth for Evaluating Uncertainty in a National Precipitation Dataset. https://ams.confex.com/ams/23Applied/webprogram/Paper318875.html

American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 12-16, 2016

Mark E. Harmon, Oregon State University, Quantifying uncertainy: An obligation or tool of discovery? PDF

Environmental Monitoring, Evaluation and Protection (EMEP) Conference: Linking Science and Policy, Albany, New York
Mark Green offered one of the presentations during Concurrent Session D: Alternative Tools and Approaches for Environmental Research, Monitoring, and Data, November 6 & 7, 2013, Albany, NY.

 

Individual Presentations

  • Quantifying uncertainty in ecosystem studies: why it’s worth facing our fears. Ruth Yanai,. Lockwood Lecture. The Connecticut Agricultural Experiment Station, CT, February 3, 2017 Audio

  • Uncertainty analysis: An evaluation metric for synthesis science. Mark E. Harmon*, Oregon State University Abstract | Slideshare
  • Quantifying uncertainty in ecology: Examples from small watershed studies. John L. Campbell*, United States Department of Agriculture Forest Service; Ruth D. Yanai, SUNY College of Environmental Science and Forestry; Mark B. Green, Plymouth State University Abstract | Slideshare
  • Better ignorant than misled: Including uncertainty in forecasts supporting management and policy. N. Thompson Hobbs*, Colorado State University Abstract | PDF
  • Global Sensitivity Analysis for Impact Assessments. Matthew Aiello-Lammens*, Stony Brook University; H. Resit Akcakaya, Stony Brook University. Abstract | Slideshare
  • Optimizing environmental monitoring designs. Carrie R. Levine, UC Berkeley; Ruth D. Yanai*, SUNY College of Environmental Science and Forestry; Gregory Lampman, NYSERDA; Douglas A. Burns, US Geologic Survey; Charles T. Driscoll, Syracuse University; Gregory B. Lawrence, U.S. Geological Survey; Jason A. Lynch, US Environmental Protection Agency; Nina Schoch, Biodiversity Research Institute. Abstract | Slideshare (audio syncing coming soon)
  • Uncertainty due to gap-filling in long-term hydrologic datasets. Craig R. See*, SUNY College of Environmental Science and Forestry; Ruth D. Yanai, SUNY College of Environmental Science and Forestry; Mark B. Green, Plymouth State University; Douglas I. Moore, University of New Mexico. Abstract | PDF
  • Uncertainty in an uncertain world: Using scientific judgment for evaluating uncertainty in measurement results. Janae L. Csavina*, National Ecological Observatory Network (NEON, Inc.); Jeffrey Taylor, National Ecological Observatory Network (NEON, Inc.); Joshua A. Roberti, National Ecological Observatory Network (NEON, Inc.) Abstract | Slideshare (no audio)
  • NEON's approach to uncertainty estimation for sensor-based measurements. Joshua A. Roberti*, National Ecological Observatory Network (NEON, Inc.); Jeffrey R. Taylor, National Ecological Observatory Network (NEON, Inc.); Henry W. Loescher, National Ecological Observatory Network (NEON, Inc.); Janae L. Csavina, National Ecological Observatory Network (NEON, Inc.); Derek E. Smith, National Ecological Observatory Network (NEON, Inc.) Abstract | Slideshare
  • Estimating uncertainty for continental scale measurements. Jeffrey Taylor*, National Ecological Observatory Network (NEON, Inc.); Joshua Roberti, NEON, Inc.; Derek Smith, National Ecological Observatory Network (NEON, Inc.); Steve Berukoff, National Ecological Observatory Network; Henry W. Loescher, National Ecological Observatory Network (NEON, Inc.) Abstract | Slideshare
  • Reducing uncertainty through data-driven model development. David S. LeBauer*, University of Illinois; Michael Dietze, Boston University; Deepak Jaiswal, University of Illinois; Rob Kooper, University of Illinois; Stephen P. Long, University of Illinois at Urbana-Champaign; Shawn P. Serbin, University of Wisconsin - Madison; Dan Wang, University of Illinois. Abstract | Slideshare

Posters and Talks