Global Forest Observations Initiative, June 6-8, 2017, Zapopan, Mexico.
23rd Conference on Applied Climatology, American Meteorological Society, June 26-28, 2017, Asheville, NC.
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, December 12-16, 2016, San Francisco, CA.
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.
- Using our over-sampled environments to design efficient monitoring programs - Mark Green (Plymouth State University and U.S. Forest Service)watch and listen! (mwv) | PDF | Other conference presentations
Uncertainty Analysis: A Critical Step in Ecological Synthesis @ ESA, August 5, 2013
Ruth Yanai, Jeffrey Taylor and Mark Harmon organized, and John Battles moderated an "Organized Oral Session" on Uncertainty Analysis: A Critical Step in Ecological Synthesis at the 2013 Ecological Society of America Annual Meeting in Minneapolis, MN.
Ecology is entering an exciting era in which the number and availability of long-term data sets are increasing exponentially. There is an unprecedented need to synthesize these data to address current scientific and societal problems. Great progress has been made on linking data and theory, including spatial integration and interdisciplinary combination. The question is no longer how to synthesize, but how well we link information from disparate sources and how to identify the most important areas for improvement. These synthetic approaches will demand increased proficiency and rigor in uncertainty analysis, to provide a metric of progress in synthesis science. This OOS highlights current developments in uncertainty estimation across many fields of ecology and provided guidance for large-scale synthesis research. Speakers were encouraged to provide recommendations for standardized approaches to uncertainty estimation and a vision for meeting future needs. Further development, understanding, and dissemination of the latest statistical techniques for deriving these estimates both inform ecological sampling design and equip up-and-coming ecologists with critical skills. Speakers examined sources of uncertainty and its general role in synthesis science. Case studies included a range of topics and approaches ranging from population ecology and small watershed nutrient cycling budgets to landscape carbon budgets. Methodologies presented include parametric statistical approaches, bootstrap analysis, Monte Carlo sampling, and Bayesian hierarchical analysis. Uncertainty introduced by spatial and temporal interpolation are common themes across scales from plots to the continental ecological observatory network.
- 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
- Poster at ESA Annual Meeting, August 7-12. Fort Lauderdale, FL
- Ruth Yanai's presentation during the Biological Weathering Symposium at the ASA, CSSA, SSSA Annual Meeting, Minneapolis, MN, November 15-18, 2015.
- QUESToffered a poster in the "Forests Under a Changing Climate: Uncertainties, Carbon Management, and Adaptation" session oranized by CIRMOUNTat the annual meeting of the American Geophysical Union, San Francisco, CA, December 15-18, 2014.
- Poster at the ASA, CSSA, SSSA Annual Meeting, November 3-6, 2013, Tampa, FL
- Ruth Yanai's presentation at the Hubbard Brook Annual Cooperator's Meeting, July 11, 2013, Hubbard Brook Experimental Forest, North Woodstock, NH
- Ruth Yanai's presentation at the COST Action FP0803, Belowground Carbon Turnover in European Forests, May 13-15, 2013, Bordeaux, France.
- Presentation from the ESA Annual Meeting, August 2011. Courtesy of Carrie Rose Levine.
- QUEST presentation given at the Hubbard Brook Cooperators Annual Meeting, West Thornton, NH (7 July 2011). Courtesy of Carrie Rose Levine.
- Craig See's presentation from 2012 LTER working group on atmospheric deposition
- QUEST presentation on uncertainty in the Hubbard Brook long-term streamflow record, given at 2011 ESA meeting, Austin, TX. Courtesy of Mark Green.
- Presentation given by Mary Beth Adams at the Interagency Conference on Research in the Watersheds, September 2011.
- Matt Petrie's presentation from 2012 LTER working group on atmospheric deposition
- Slides from QUEST workshop at the 2012 LTER All Scientists Meeting
- QUEST poster presented at the North American Forest Ecology Workshop, June 2011.
- Shannon Ladeau's presentation from 2012 LTER working group on atmospheric deposition
- Ruth Yanai's 2012 ASM poster on the signifigance of the missing nitrogen source at Hubbard Brook