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Effects of climatic data low-pass filtering on the ICBM temperature- and moisture-based soil biological activity factors in a cool and humid climate

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  • Fortin, J.G.
  • Bolinder, M.A.
  • Anctil, F.
  • Kätterer, T.
  • Andrén, O.
  • Parent, L.E.

Abstract

The air temperature (Tair), total precipitation (TP) and potential evapotranspiration (PET) are standard input data for soil carbon dynamic models, i.e., for calculating temperature and moisture effects on soil biological activity. The resolution needed depends on objectives, the complexity of models and inbuilt pedotransfer functions. The Introductory Carbon Balance Model (ICBM) soil climate front end model calculates a multiplicative soil-temperature (re_temp) and -moisture (re_wat) factor with a daily time-step to estimate soil biological activity, i.e., re_crop=re_temp×re_wat. Our objective was to determine how much re_temp, re_wat and re_crop are affected by low-pass filtering of the climatic input data for a cool, humid temperate region. To achieve this we conducted spectral analysis on Tair, TP, PET and re_crop in the frequency domain. Thereafter we applied Fourier low-pass filters of 5, 15, 30, 60 and 180 days on Tair, TP, PET and tracked their effects through the soil climate model's state variables and outputs. This was done using a sandy and a heavy clay soil and an 89-year daily time-series from a meteorological station in Quebec (Canada). The Fourier spectra showed that the variance for Tair, PET and re_crop was dominated by an annual cycle, as could be expected. There was no yearly cycle for TP. The variation in re_temp explained most of the variance in re_crop. The soil climate module outputs were not sensitive to low-pass filtering of PET. A daily time-step was needed to avoid overestimating re_crop for the sandy soil. Using a weekly time-step for TP and Tair allowed us to explain about 80% of the variance in re_crop for the heavy clay soil. This study also indicates that the standard leaf (and green) area index functions for calculating transpiration should receive more attention, since they have significant effects on the state and output variables.

Suggested Citation

  • Fortin, J.G. & Bolinder, M.A. & Anctil, F. & Kätterer, T. & Andrén, O. & Parent, L.E., 2011. "Effects of climatic data low-pass filtering on the ICBM temperature- and moisture-based soil biological activity factors in a cool and humid climate," Ecological Modelling, Elsevier, vol. 222(17), pages 3050-3060.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:17:p:3050-3060
    DOI: 10.1016/j.ecolmodel.2011.06.011
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    References listed on IDEAS

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    1. Juston, John & Andrén, Olof & Kätterer, Thomas & Jansson, Per-Erik, 2010. "Uncertainty analyses for calibrating a soil carbon balance model to agricultural field trial data in Sweden and Kenya," Ecological Modelling, Elsevier, vol. 221(16), pages 1880-1888.
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    Cited by:

    1. Kröbel, R. & Bolinder, M.A. & Janzen, H.H. & Little, S.M. & Vandenbygaart, A.J. & Kätterer, T., 2016. "Canadian farm-level soil carbon change assessment by merging the greenhouse gas model Holos with the Introductory Carbon Balance Model (ICBM)," Agricultural Systems, Elsevier, vol. 143(C), pages 76-85.
    2. M. Bolinder & J. Fortin & F. Anctil & O. Andrén & T. Kätterer & R. Jong & L. Parent, 2013. "Spatial and temporal variability of soil biological activity in the Province of Québec, Canada (45–58 °N, 1960–2009)—calculations based on climate records," Climatic Change, Springer, vol. 117(4), pages 739-755, April.

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