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Parameter testing and application of the 3PG model for Eucalyptus grandis x Urophylla in subtropical conditions in South Africa

CERNE, 2023, Vol.29 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0104-7760 ;ISSN: 2317-6342 ;EISSN: 0104-7760 ;DOI: 10.1590/01047760202329013236

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  • Title:
    Parameter testing and application of the 3PG model for Eucalyptus grandis x Urophylla in subtropical conditions in South Africa
  • Author: Gakenou, Oluwaseun Friday ; Martin, Kim Cordwint ; Germishuizen, Ilaria ; Drew, David Michael
  • Subjects: FORESTRY
  • Is Part Of: CERNE, 2023, Vol.29
  • Description: ABSTRACT Background: The productivity of the coastal Zululand region, which was known as the South African breadbasket for fibre is declining. Climate-related changes are a significant factor contributing to this decline. The 3PG (Physiological Processes Predicting Growth) model was calibrated for E. grandis x E. urophylla hybrids planted in this region to quantify the effect of climate variation x site on their growth and survival. Monthly weather data for the ungauged plantations were estimated using the Random Forest (RF) supervised learning algorithm. A dataset consisting of 17 permanent sample plots (PSPs) and published parameter values for this hybrid in various regions of Brazil were utilized for parameter estimation. Using a parsimonious optimization approach, we developed a novel method called extended Root Mean Square Error (eRMSE) to select the optimal parameter set. Result: The new parameter set yielded accurate predictions for three key variables; quadratic stem diameter (R2 = 0.85, E = 0.73), mean height (R2 = 0.84, E = 0.78), and basal area (R2 = 0.87, E = 0.78). Model performance at 15 independent sites allowed the comparison with three other Brazilian parameter sets for stand volume prediction at a specific age. The optimized parameter set provided a satisfactory, albeit slightly overestimated stand volume (V (m3ha-1), R2 = 0.65, E = -0.32) at the validation sites. Conclusion: The 3PG model can be adapted with parameter set from another region to characterize the growth of E.grandis x E.urophylla stands in South Africa.
  • Publisher: UFLA - Universidade Federal de Lavras
  • Language: English;Portuguese
  • Identifier: ISSN: 0104-7760
    ISSN: 2317-6342
    EISSN: 0104-7760
    DOI: 10.1590/01047760202329013236
  • Source: SciELO
    Alma/SFX Local Collection
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