Clickfor list of papers searchable by sources of uncertainty addressed and methods to quantify
them.
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
Strimbu, B.M., A. Amarioarei, M. Paun. 2017. A parsimonious approach for modeling
uncertainty within complex nonlinear relationships.Ecosphere, 8(9) doi.org/10.1002/ecs2.1945
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
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
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|
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|
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):269
Harmon, M.E., B. Fasth, C.B. Halpern, and J.A. Lutz. 2015. Uncertainty Analysis: An
Evaluation Metric for Synthesis Science.Ecosphere,6(4):62
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 ForestResearch, 46(3): 340-347|
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|
Lehtonen, A. and J. Heikkinen. 2016. Uncertainty of upland soil carbon sink estimate
for Finland.Canadian Journal of Forest Research, 46(3): 310-322|
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
inEucalyptusplantations using a metamodeling approach.Canadian Journal of Forest Research, 46(3): 297-309|
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|
Other QUEST-Supported Publications
Clickfor list of papers searchable by sources of uncertainty addressed and methods to quantify
them.
Campbell,J.L., M.B. Green, R.D. Yanai, C. Woodall, S. Fraver, M. Harmon, M. Hatfield,
C. Barnett, C. R. See, and G. Domke. 2018. Estimating uncertainty in the volume and
carbon storage of downed coarse woody debris. Ecological Applications, doi.org/10.1002/eap.1844.
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
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.
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 ||
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|
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
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|
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|
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): 448-456PDF
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
An article about the QUEST effort by John Campbell appeared in the Summer 2011 issue
of the USDA-FS publication "Experimental Forests and Ranges" (pg. 3).