Peer Reviewed | QUEST: Quantifying Uncertainty in Ecosystem Studies | ESF
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Ecosphere Special Feature: Uncertainty Analysis

  • Click here for list of papers searchable by sources of uncertainty addressed and methods to quantify them. *****WORK IN PROGRESS*****
  • Yang, Y., R.D. Yanai, C.R. See, and M.A. Arthur. 2017. Sampling effort and uncertainty in litterfall mass and nutrient flux in northern hardwoods. Ecosphere, 8(11):e01999. 10.1002/ecs2.1999 PDF
  • Fahey, T.J., R.D. Yanai, K.E. Gonzales, and J.A. Lombardi. 2017. Sampling and processing roots from rocky forest soils.  Ecosphere, 8(6):e01863. DOI:10.1002/ecs2.1863 PDF
  • Csavina, J., J.A. Roberti, J.R. Taylor, and H.W. Loescher. 2017. Traceable measurements and calibration: a primer on uncertainty analysis. Ecosphere, 8(2) e01683, DOI:10.1002/ecs2.1683 PDF
  • Campbell, J.L., R.D. Yanai, M.B. Green, G.E. Likens, C.R. See, A.S. Bailey, D.C. Buso, and D. Yang. 2016.  Uncertainty in the net hydrologic flux of calcium in a paired-watershed harvesting study. Ecosphere, 7(6): e01299. DOI:10.1002/ecs2.1299 Abstract | HTML | PDF
  • Aulenbach, B.T., D.A. Burns, J.B. Shanley, R.D. Yanai, K. Bae, A.D. Wild, Y. Yang, and D. Li. 2016. Approaches to stream solute load estimation for solutes with varying dynamics from five diverse small watersheds. 2016.  Ecosphere, 7(6) e01298.  DOI: 10.1002/ecs2.1298 Abstract | HTML | PDF
  • Appling, A.P., M.C. Leon, and W.H. McDowell. 2015 .Reducing bias and quantifying uncertainty in watershed flux estimates: the R package loadflex, Ecosphere, 6(12). HTML
  • Harmon, M.E., B. Fasth, C.B. Halpern, and J.A. Lutz. 2015. Uncertainty Analysis: An Evaluation Metric for Synthesis Science. Ecosphere, 6(4): art62 Abstract | HTML | PDF
  • Ross, D.S., S.W. Bailey, R.D. Briggs, J. Curry, I.J. Fernandez, G. Fredriksen, C.L. Goodale, P.W. Hazlett, P.R. Heine, C.E. Johnson, J.T. Larson, G.B. Lawrence, R.K. Kolka, R. Ouimet, D. Paré, D. deB. Richter, C.D. Schirmer, and R.A. Warby. 2015. Inter-Laboratory Variation in the Chemical Analysis of Acidic Forest Soil Reference Samples from Eastern North America. Ecosphere, 6(5): art73 Abstract | HTML |PDF

Canadian Journal of Forest Research Partial Special Issue: Quantifying uncertainty in forest measurements and models: Approaches and applications

  • Click here for list of papers searchable by sources of uncertainty addressed and methods to quantify them. *****WORK IN PROGRESS*****
  • Paré, D., G.Z. Gertner, P.Y. Bernier, and R.D. Yanai. 2016. Quantifying uncertainty in forest measurements and models: Approaches and applications.Canadian Journal of Forest Research 46(3):v. 10.1139/cjfr-2016- 0029 PDF
  • Eyvindson, K. and A. Kangas. 2016. Evaluating the required scenario set size for stochastic programming in forest management planning: incorporating inventory and growth model uncertainty. Canadian Journal of Forest Research, 46(3): 340-347 Abstract | HTML |PDF
  • Freeman, E.A., Molsen, G.G., Coulston, J.W., and B.T. Wilson. 2016. Random forests and stochastic gradient boosting for predicting tree canopy cover: comapring tuning processes and model performance. Canadian Journal of Forest Research, 46(3): 323-339 Abstract | HTML |PDF
  • Lehtonen, A. and J. Heikkinen. 2016. Uncertainty of upland soil carbon sink estimate for Finland. Canadian Journal of Forest Research, 46(3): 310-322 PDF
  • Christina, M., Y. Nouvellon, J.P. Laclau, J.L. Stape, O.C. Campoe, G. le Maire. 2016. Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach. Canadian Journal of Forest Research, 46(3): 297-309 Abstract | HTML |PDF
  • Yang, Y., R.D. Yanai, F.F. Fatemi, C.R. Levine, P.J. Lilly, R.D. Briggs. 2016. Sources of variability in tissue chemistry in northern hardwood species. Canadian Journal of Forest Research, 46(3): 285-296 Abstract | HTML | PDF

 

Other QUEST-Supported Publications

  • Click here for list of papers searchable by sources of uncertainty addressed and methods to quantify them. *****WORK IN PROGRESS*****
  • Green, M.B, J.L. Campbell, R.D. Yanai, S.W. Bailey, A.S. Bailey, N. Grant, I. Halm, E.P. Kelsey, and L. E. Rustad. 2018. Downsizing a long-term precipitation network: using a quantitative approach to inform difficult decisions. PLOS On, doi.org/10.1371/journal.pone.0195966. PDF
  • Yang, Y., R.D. Yanai, C.T. Driscoll, M. Montesdeoca and K. Smith.  2018. Concentrations and content of mercury in bark, wood, and leaves in hardwoods and conifers in four forested sites in the northeastern USA.  Plos One DOI: 10.1371/journal.pone.0196293. PDF
  • Yanai, R.D., C.R. See, J. L. Campbell. 2018. Current practices in uncertainty analysis in ecosystem ecology.  Ecosystems, 21(5):971-981. DOI: 10.1007/s10021-017-0197-x. PDF
  • Daly, C., 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. International Journal of Climatology, DOI: 10.1002/joc.4986 | HTML | PDF
  • Yanai, R.D., N. Tokuchi, J.L. Campbell, M.B. Green, E. Matsuzaki, S.N. Laseter, C.L. Brown, A.S. Bailey, P. Lyons, C.R. Levine, D.C. Buso, G.E. Likens, J. Knoepp, K. Fukushima. 2015. Sources of uncertainty in estimating stream solute export from headwater catchments at three sites. Hydrological Processes. 29(7): 1793-1805. DOI:  10.1002/hyp.10265 Abstract | HTML | PDF
  • Stoklosa, J., C. Daly, S.D. Foster, M.B. Ashcroft, D.I. Warton(2014). A climate of uncertainty: accounting for error in climate variables for species distribution models. Methods in Ecology and Evolution, 6(4): 412-423. DOI:10.1111/2041-210X.12217 HTML
  • Holdaway, Robert J., Stephen J. McNeill, Norman W. H. Mason, and Fiona E. Carswell. 2014. Propagating uncertainty in plot-based estimates of forest carbon stock and carbon stock change. Ecosystems, 17(4): 627-640. DOI: 10.1007/s10021-014-9749-5 HTML| PDF
  • Levine, C.R., R.D. Yanai, G.G. Lampman, D.A. Burns, C.T. Driscoll, G.B. Lawrence, J.A. Lynch, and N. Schoch. 2014.  Evaluating the efficiency of environmental monitoring programs. Ecological Indicators. 39: 94 – 101.  DOI: 10.1016/j.ecolind.2013.12.010 HTML| PDF
  • Yanai, R.D., C.R. Levine, M.B. Green, and J.L. Campbell. 2012. Quantifying Uncertainty in Forest Nutrient Budgets. Journal of Forestry, 110(8): 448-456 PDF
  • Yanai, R.D., J.J. Battles, A.D. Richardson, C.A. Blodgett, D.M. Wood, and E.B. Rastetter. 2010. Estimating Uncertainty in Ecosystem Budget Calculations. Ecosystems, 13(2): 239-248 Abstract | PDF

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