n Southern African Forestry Journal - Application of the 3-PG model to a Eucalyptus grandis stand subjected to varying levels of water and nutrient constraints in KwaZulu-Natal, South Africa : scientific paper
|Article Title||Application of the 3-PG model to a Eucalyptus grandis stand subjected to varying levels of water and nutrient constraints in KwaZulu-Natal, South Africa : scientific paper|
|© Publisher:||South African Institute of Forestry (SAIF)|
|Journal||Southern African Forestry Journal|
|Author||J.M. Campion, L.J. Esprey and M.C. Scholes|
|Publication Date||Mar 2005|
|Pages||3 - 13|
|Keyword(s)||E. grandis, Fertilisation, Irrigation, Model validation and Process-based modelling|
The 3-PG model has shown considerable potential as a tool for predicting forest productivity. As part of a model validation exercise, 3-PG was applied to an irrigated and fertilised <I>Eucalyptus grandis</I> stand in the KwaZulu-Natal Midlands. Simulations were run over a two-year period using appropriate initialisation data and a parameter set developed for <I>E. grandis</I> for the summer rainfall region of South Africa. The model was validated using observed leaf area index, and foliage and above-ground woody biomass, and then used to predict stand volume. Evaluation of 3-PG model outputs against field measurements indicated a generally good correlation for growth data across the control, irrigated, fertilised, and irrigated and fertilised trees. At 3.9 years, the model-predicted leaf area index over all treatments ranged from 3.8 to 5.1, similar to the observed range of 4.3 to 4.9. Stand volume at 3.9 years of age was under-predicted in the non-irrigated treatments. Actual stand volume at this age ranged from 100 to 118 m<sup>3</sup> ha<sup>-1</sup> across all treatments, compared to model estimates of 79 to 121 m<sup>3</sup> ha<sup>-1</sup>. Use of a dynamic fertility rating may improve model predictions and there is possible scope for improvement in the water-balance component of the model. Results from this study have shown 3-PG to be a robust model by producing accurate predictions of growth under varying levels of resource availability.
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