Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Effectiveness of Sensitivity Analysis for Parameter Selection in CLIMEX Modeling of Metcalfa pruinosa Distribution

  • Byeon, Dae-hyeon (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Jung, Sunghoon (Department of Applied Biology, Chungnam National University) ;
  • Mo, Changyeun (National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Lee, Wang-Hee (Department of Biosystems Machinery Engineering, Chungnam National University)
  • Received : 2018.09.18
  • Accepted : 2018.11.15
  • Published : 2018.12.01
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Abstract

Purpose: CLIMEX, a species distribution modeling tool, includes various types of parameters representing climatic conditions; the estimation of these parameters directly determines the model accuracy. In this study, we investigated the sensitivity of parameters for the climatic suitability calculated by CLIMEX for Metcalfa pruinosa in South Korea. Methods: We first changed 12 parameters and identified the three significant parameters that considerably affected the CLIMEX simulation response. Results: The result indicated that the simulation was highly sensitive to changes in lower optimal temperatures, lower soil moisture thresholds, and cold stress accumulation rate based on the sensitivity index, suggesting that these were the fundamental parameters to be used for fitting the simulation into the actual distribution. Conclusion: Sensitivity analysis is effective for estimating parameter values, and selecting the most important parameters for improving model accuracy.

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References

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