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Overview of 3-PG Model Calibration for Pinus pinaster: Characteristics, Applications, and Outputs

This document summarizes the 3-PG model, developed by Elemer Briceño, focusing on its calibration and applications for Pinus pinaster. It outlines the model's main characteristics, structure, inputs, and outputs, including biomass allocation and production factors. The 3-PG model has been effectively applied in diverse environments, notably in Portugal, highlighting its utility for forest management. The description incorporates case studies and identifies important climate data required for effective model application, as well as scenarios assessing various climatic influences on biomass production.

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Overview of 3-PG Model Calibration for Pinus pinaster: Characteristics, Applications, and Outputs

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  1. CALIBRATION3-PG – Pinus pinaster Elemer Briceño

  2. Approach for this model overview 3-PG Description - main characteristics - main modules - structure - inputs and outputs 3-PG Use sites for Pine - why and where has been used - Portuguese case study 3-PG - Process-based model

  3. 3-PG – Basic structure Climate data 3-PG Biomass production Biomass allocation Conversion into variables of interest to forest managers Initial stand Site factors 15/07/2008

  4. 3-PG – Biomass allocation (I) NPP is partitioned into biomass pools (tDM ha-1): • Foliage(WF), • Above-ground woody tissue(WS) • Roots (WR) Partitioning rates (F, Rand S) depend on growth conditions and stand dbh. Litter-fall (gF) and root-turnover (gR) also taken into account. Thus:

  5. 3-PG – Biomass allocation (II) Increasing DBH decreases foliage partitioning and increases stem partitioning. Graphs show response when: pFS(2) = 1, pFS(20) = 0.2

  6. 3-PG – Biomass allocation (III)

  7. 3-PG – Structure • Structure without the module for conversion into variables of interest to forest managers

  8. 3-PG – Inputs • Climate data • Monthly data temperature, radiation, rainfall, VPD • Either observed values either means from several years • Site and soils • Latitude • Soil texture & maximumASW • Fertility rating • Stand data • Biomasses: Foliage, Above-ground woody tissue , Roots • N – number of trees per hectare

  9. 3-PG – Outputs • There is a group of outputs useful for foresters and less common in process based models : • V, G, N, MAI, etc. • There is a group of outputs which are common in process based models : • GPP, NPP, allocated biomasses, etc.

  10. 3-PG – Quick summary

  11. 3-PG - Application 3-PG has been applied to many environments: Australia; New Zealand EUA Brazil; Chile South Africa United Kingdom; Sweden; Portugal; Finland China 3-PG has been applied to many species: Eucalyptus globulus; E. pilularis; E. grandis; E. delagatensis Picea abies; P. sitchensis Pinus radiata; P. taeda; P. patula; P. ponderosa; Pseudostuga menziesii

  12. 3-PG – Application in Portugal (I) 3-PG Calibartion and validation for Eucalyptus globulus in Portugal Initial test with 3-PG validated for Eucalyptus globulus in Australia (Sands & Landsberg 2002) with FER trial data: Reasonable estimates for Ws and bad estimates for Wf SLA, wood density, allometric relationships 3-PG calibration with FER trial Test of calibrated 3-PG with a stocking trial Validation with Eucalyptus globulus permanent sample plots On going research is being carried out with Pinus pinaster.

  13. 3-PG – Application in Portugal (II) 6 scenarios – Eucalyptus plantations in Aveiro region 1. To reduce by 30% the rainfall per year and concentrate the remaining by 15% in November and December 2. To reduce by 30% the rainfall per year and concentrate the remainingby 15% in November, December and March 3. To rise the mean monthly temperature by 1ºC 4. To rise the mean monthly temperature by 3ºC 5. To reduce by 30% the rainfall per yearand to rise the mean monthly temperature by 1ºC 6. To reduce by 30% the rainfall per yearand to rise the mean monthly temperature by 3ºC

  14. 3-PG – Application in Portugal (III)

  15. 3-PG – An overview Thank you!

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