1. CALIBRATION 3-PG – Pinus pinaster Elemer Briceño 15/07/2008

2. 3-PG - Process-based model 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 15/07/2008

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

4. NPP is partitioned into biomass pools (tDM ha-1):  Foliage(W F ),  Above-ground woody tissue(W S )  Roots (W R ) Partitioning rates (  F,  R and  S ) depend on growth conditions and stand dbh. Litter-fall (  F ) and root-turnover (  R ) also taken into account. Thus: 3-PG – Biomass allocation (I) 26/06/2008

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 26/06/2008

6. 3-PG – Biomass allocation (III)

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

8. 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 3-PG – Inputs 26/06/2008

9. 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. 3-PG – Outputs 26/06/2008

10. 3-PG – Quick summary AttributeComments Model typeDynamic; process-based & empirical relationships Time frameMonthly ProcessesNPP, biomass allocation, water usage & soil water balance, stem mortality, litterfall & root turnover InputsMonthly climate data, soil texture & water capacity, fertility OutputsBiomass pools, stocking, available soil water, NPP & ET, DBH & standard stand attributes, and others StrengthsFully dynamic, can be adapted for range of species, provides management-related outputs WeaknessesNaïve treatment of soil nutrition, allocation based largely on size, poor predictor of canopy development & of mortality 26/06/2008

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 26/06/2008

12. 3-PG – Application in Portugal (I) 3-PG Calibartion and validation for Eucalyptus globulus in Portugal 1.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 2.SLA, wood density, allometric relationships 3.3-PG calibration with FER trial 4.Test of calibrated 3-PG with a stocking trial 5.Validation with Eucalyptus globulus permanent sample plots On going research is being carried out with Pinus pinaster. 26/06/2008

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 remaining by 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 year and to rise the mean monthly temperature by 1ºC 6. To reduce by 30% the rainfall per year and to rise the mean monthly temperature by 3ºC 26/06/2008

14. 3-PG – Application in Portugal (III) 26/06/2008

15. 3-PG – An overview Thank you! 26/06/2008