Related Papers in Uncertainty modeling | 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

Papers Addressing Uncertainty in Modeling

Please send suggestions for other resources (published papers and presentations) to

  • Click here for list of papers searchable by sources of uncertainty addressed and methods to quantify them. *****WORK IN PROGRESS*****
  • Ascough et al. 2008. Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecological Modeling.
  • Baskerville. 1971. Use of Logarithmic Regression in the Estimation of Plant Biomass. Canadian Journal of Forest Research.
  • Beauchamp and Olson. 1973. Corrections for bias in regression estimates after logarithmic transformations. Ecology.
  • Clark. 2003. Unvertainty and variability in demography and population growth: a hierarchical approach. Ecology.
  • Clark. 2003. Uncertainty in Ecological Inference and Forecasting. Intro to Ecology Special Feature.
  • Clark. 2005. Why environmental scientists are becoming Bayesians. Ecology Letters.
  • Cressie et al. 2009. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecological Applications.
  • Csavina, J., J.A. Roberti, J.R. Taylor, and H.W. Loescher. 2017. Traceable measurements and calibration: a primer on uncertainty analysis. Ecosphere.
  • 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.
  • Fahey, T.J., R.D. Yanai, K.E. Gonzales, and J.A. Lombardi. 2017. Sampling and processing roots from rocky forest soils. Ecosphere.
  • Gurdak, J.J., Qi, S.L., and Geisler, M.L., 2009, Estimating prediction uncertainty from geographical information system raster processing—A user’s manual for the Raster Error Propagation Tool (REPTool): U.S. Geological Survey Techniques and Methods 11–C3, 71 p.
  • Harmon, M.E., B. Fasth, C.B. Halpern, and J.A. Lutz. 2015. Uncertainty Analysis: An Evaluation Metric for Synthesis Science. Ecosphere.
  • LeBauer et al. 2012. Facilitating feedbacks between field measurements and ecosystem models.
  • Lo. 2005. Gaussian error propagation applied to ecological data: Post-ice-storm-downed woddy biomass. Ecological Monographs.
  • Magnussen and Burgess. 1997. Stochastic resampling techniques for quantifying error propagations in forest field experiments. Canadian Journal of Forest Research.
  • Matott et al. 2009. Evaluating uncertainty in integrated environmental models: A review of concepts and tools. Water Resources Research.
  • Mishra. 2009. Uncertainty and sensitivity analysis techniques for hydrologic modeling. Journal of Hydroinformatics.
  • Ortiz, C.A., Liski, J., Gärdenäs, A.I., Lehtonen, A., Lundblad, M., Stendahl, J., Ågren, G. & Karltun, E. 2013. Soil organic carbon stock changes in Swedish forest soils - A comparison of uncertainties and their sources through a national inventory and two simulation models. Ecological Modelling 251: 221-231.  doi:10.1016/j.ecolmodel.2012.12.017 Pappenburger and Beven. 2006. Ignorance is bliss: Or seven reasons not to use uncertainty analysis. Water Resources Research.
  • Parresol. 2001. Additivity of nonlinear biomass equations. Canadian Journal of Forestry Research.
  • Pavia, EG. 2004. The uncertainty of climatological values. Geophysical Research Letters.
  • Rantakari, M., Lehtonen, A., Linkosalo, T., Tuomi, M., Tamminen, P., Heikkinen, J., Liski, J., Mäkipää, R., Ilvesniemi, H. & Sievänen, R. 2012. The Yasso07 soil carbon model - Testing against repeated soil carbon inventory. Forest Ecology and Management 286: 137-147.  doi:10.1016/j.foreco.2012.08.041
  • Rastetter. 1996. Validating response to ecosystem response to global change. BioScience.
  • Rastetter et al. 1992. Aggregating fine-scale ecological knowledge to model coarse-scale attributes of ecosystems. Ecological Applications.
  • Shirmohammadi, A., I. Chaubey, R. D. Harmel, D. D. Bosch, R. Muñoz-Carpena, C. Dharmasri, A. Sexton, M. Arabi, M. L. Wolfe, J. Frankenberger, C. Graff, T. M. Sohrabi. 2006. Uncertainty in TMDL (Total Maximum Daily Load) Models. Transactions of the ASABE
  • Ståhl, Göran; Heikkinen, Juha; Petersson, Hans; Repola, Jaakko; Holm, Sören. 2014.  Sample-Based Estimation of Greenhouse Gas Emissions From Forests—A New Approach to Account for Both Sampling and Model Errors. Forest Science 60(1): 3-13  DOI: 10.5849/forsci.13-005  DOI:10.5849/forsci.13-005
  • Stoklosa, J., Daly, C., Foster, S.D., Ashcroft, M.B., Warton, D.I. 2014. A climate of uncertainty:accounting for error in climate variables for species distribution models. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12217
  • Sprugel. 1983. Correcting for Bias in Log-Transformed Allometric Equations. Ecology.
  • Yanai, R.D., C.R. See, J. L. Campbell. 2017. Current practices in uncertainty analysis in ecosystem ecology. Ecosystems
  • 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.