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Related Papers in Uncertainty modeling

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  • Ascough et al. 2008. Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. In Ecological Modeling.
  • Baskerville. 1971. Use of Logarithmic Regression in the Estimation of Plant Biomass. In CJFR.
  • Beauchamp and Olson. 1973. Corrections for bias in regression estimates after logarithmic transformations. In Ecology.
  • Clark. 2003. Unvertainty and variability in demography and population growth: a hierarchical approach. In Ecology.
  • Clark. 2003. Uncertainty in Ecological Inference and Forecasting. Intro to Ecology Special Feature.
  • Clark. 2005. Why environmental scientists are becoming Bayesians. In Ecology Letters.
  • Cressie et al. 2009. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. In Ecological Applications.
  • 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.
  • 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. In Ecological Monographs.
  • Magnussen and Burgess. 1997. Stochastic resampling techniques for quantifying error propagations in forest field experiments. In Canadian Journal of Forest Research.
  • Matott et al. 2009. Evaluating uncertainty in integrated environmental models: A review of concepts and tools. In Water Resources Research.
  • Mishra. 2009. Uncertainty and sensitivity analysis techniques for hydrologic modeling. In 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. In Water Resources Research.
  • Parresol. 2001. Additivity of nonlinear biomass equations. In Canadian Journal of Forestry Research.
  • Pavia, EG. 2004. The uncertainty of climatological values. In 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. In BioScience.

  • Rastetter et al. 1992. Aggregating fine-scale ecological knowledge to model coarse-scale attributes of ecosystems. In 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. In 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. In Ecology.

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