QUEST is a Research Coordination Network dedicated to advancing uncertainty analysis in ecosystem studies. Efforts focus on both outreach and research.
Errors in Error Accounting: Published last month! "Propagating Uncertainty in Predicting Individuals and Means Illustrated with Foliar Chemistry and Forest Biomass” doi.org/10.1007/s10021-023-0… (1/3)
For means of small samples, both can be important—for large samples, such as allometry of trees in a national carbon inventory, omitting uncertainty in the mean underestimates uncertainty, but individuals can be ignored.
Check out our latest paper on measurement #uncertainty in the @forestservice Forest Inventory and Analysis (FIA) program, Northern Region. We compared measurements made by field crews and quality assurance crews to assess discrepancies in measurements of 32 variables. 1/4
On an individual-tree basis, discrepancies were higher for some variables that required judgment, such as tree class, decay class, and cause of mortality. 3/4
Objective measurements of uncertainty are important for understanding the accuracy of forest inventory measurements. Our paper provides an example of how this can be done using QA data from national forest inventories. 4/4
Are you afraid to admit what you don’t know? Dr. Ruth Yanai argues you can’t learn if you don't embrace uncertainty. On Episode 7 of Campus Conversations: The Podcast, @sunyesfpres chatted with Dr. Yanai about approaching uncertainty in research. bit.ly/3MAJ27c
ALT Foreground: Episode 7, The Hidden Power of Uncertainty with Dr. Ruth Yanai. Background: Woman holding leaves in forest.
If you’re at #LTERasm2022 today, attend our workshop: Better monitoring through uncertainty analysis: Optimize effort, save time and money. Join us at 1:30pm-3:00pm, Oak Shelter.
Glad to share a quick preview of the BMSTDR book - an introductory text on Bayesian modeling, computation, and spatial and spatio-temporal modeling with lots of examples and online R code! @RobCalver5@CRC_MathStats@rstatstweet
Conveying uncertainty is important for ecological research, but how often do we report it? Check out our systematic evaluation of the literature to learn more! doi.org/10.1002/ecs2.3535
What is the risk of overestimating emission reductions from forests – and what can be done about it? Till Neeff’s paper is now available in Climate Change. link.springer.com/article/10…
How credible are claims of reduced deforestation? Quantifying uncertainty in country-level deforestation and greenhouse gas emissions will improve global carbon accounting, forest management, and climate mitigation! iopscience.iop.org/article/1…
Gaps happen in the stream discharge record at Hubbard Brook. Our new study documents how much uncertainty these gaps introduce to our annual runoff estimates. The uncertainty is typically less than 2%. doi.org/10.7717/peerj.9531
Had a great poster session at #AGU2019
Marcela and Craig used fake forests for the real world to quantify uncertainty in allometric models.
Alex Young @bearsofthemoss1 presented on our ability to detect change over time in urban forest carbon for Baltimore, MD and Syracuse, NY
Attending #AGU2019? Interested in quantifying #uncertainty in #carbon budgets? Join us at B51E: Improving Ecosystem Carbon Budget Estimates and Forging Linkages for Informing Decisions I today from 8-10 am in Moscone West - 3003, L3. Hope to see you there! agu.confex.com/agu/fm19/meet…
And be sure to check out the related #AGU2019 poster session on quantifying #uncertainty and improving estimates of #carbon budgets - B53J - today from 1:40 to 6 pm in Moscone South, Poster Hall! agu.confex.com/agu/fm19/meet…
Introduction to Monte Carlo Error Propagation: Workshop at the ILTER OSM in Leipzig. Join us at a picnic table at 15:30 on Wednesday Sept 4 to learn new skills or discuss uncertainty analyses. @ILTER_network