Features of Model for Forest Management and decision support
Model Name : PP3
| Forest Model name | PP3 |
| Last update | 2013-06-28 |
| Year | 2002 |
| Author | C. Meredieu, Ph. Dreyfus, B. Lemoine |
| Contact | |
| Organisation | INRA |
| Country | France |
| Category | Growth |
| Model type | Empirical growth & Yield models |
| Sub-type | Distance independent tree model |
| Level | Tree |
| Time step | Year |
| Time scale | Long term |
| Stochasticity | Deterministic |
| Range of applicabiilty (region, ...) | Southwestern of France: Landes de Gascogne (except the coastal dune area) |
| Site | Stand from plantation or seeding with or without initial fertilization |
| Stand composition | Monospecific |
| Forest structure | Even |
| Species | Pinus pinaster |
| Sylvicultural system | Clear cutting |
| Tree range | to be completed |
| Stand range | to be completed |
| State variables - Growth | Dominant height |
| State variables - Initialization | Dominant height; Number of trees per hectare |
| State variables - Prediction | Aboveground biomass; Basal area; Branches biomass; Dominant height; Leaf area; Leaves biomass; Stem bark biomass; Stem wood biomass |
| State variables - Stochastic for | |
| Distribution diameter variables - growth | |
| Distribution diameter variables - initialization | |
| Distribution diameter variables - prediction | |
| Distribution diameter variables - stochasticity for | |
| Tree variables - growth | Diameter at Breast Height |
| Tree variables - Initialisation | Diameter at Breast Height; Stem height; Tree Height |
| Tree variables - prediction | Aboveground biomass; Branches biomass; Crown diameter; Crown length/crown ratio; Diameter at Breast Height; Leaf area; Leaves biomass; Merchantable volumes over bark to a top d; Merchantable volumes under bark to a top d; Stem bark biomass; Stem height; Stem wood biomass; Taper functions; Tree Height; Volume over bark without stump; Volume under bark without stump |
| Tree variables - stochasticity for | |
| Growth processes | |
| Regeneration processes at stand level | |
| Regeneration processes at sapling level | |
| Hazards | Windthrow |
| Submodule : Sylvicultural practicies | Initial density (seedling, plantation); Thinning |
| Submodel : Climate parameters | Site index |
| Input state variables | Age; Distribution of diameters; Dominant height; Number of trees per hectare |
| Human inputs | Thinning scenario |
| Climate inputs | Site index |
| Output state variable | Aboveground biomass; Basal area; Branches biomass; Crown diameter; Crown length/crown ratio; Diameter at Breast Height; Dominant height; Leaf area; Leaves biomass; Merchantable volumes over bark to a top d; Merchantable volumes under bark to a top d; Number of trees per hectare; Stem bark biomass; Stem height; Stem wood biomass; Taper functions; Tree Height; Volume over bark without stump; Volume under bark without stump |
| Quantity products | Pulp wood; Wood for construction |
| Quality pulp | Heartwood percentage |
| Quality construction | Log grading |
| Quality cork | |
| Simulator name | Capsis |
| Stand Simulator version | 4.1.2 |
| Stand Simulator hardware | |
| Stand Simulator memory | |
| Stand Simulator OS | Windows, Linux, Mac OS |
| Stand Simulator language | JAVA |
| Stand Simulator characteristics | Batch-mode use; Change silvicultural treatments running; Interactive use; Interface with other programs; Saving of interim results with continuation |
| Stand Simulator indicators | Age structure and diameter distribution (Module 2); Dead wood (Module 2); Forest damage (Module 2); Forest ressources (Lead); Growing stock (Module 2); Increments and fellings (Module 2); Production costs (Lead); Revenue (Additional); Total production (Additional) |
| Stand Simulator visualization | |
| Landscape Simulator name | |
| Landscape Simulator version | |
| Landscape Simulator hardware | |
| Landscape Simulator memory | |
| Landscape Simulator OS | |
| Landscape Simulator language | |
| Landscape Simulator characteristics | |
| Landscape Simulator indicators | |
| Landscape Simulator visualization | |
| Reference | Model developement methodology; Model equations; Model modules/components |
| Bibliography | Model description : model equations and model developement methodology Lemoine B (1991) Growth and yield of maritime pine (Pinus pinaster Ait): the average dominant tree of the stand. Ann For Sci 48:593–611 Salas-González R, Houllier F, Lemoine B, Pignard G (2001) Forecasting wood resources on the basis of national forest inventory data. Application to Pinus pinaster Ait in southwestern . Ann For Sci 58:785-802 Integration of PP3 in stand simulation software Meredieu C., 2002 - Intégration dans Capsis d´un modèle de croissance du Pin maritime développé par l´INRA. Convention n° 61.45.47/01, MAPA-DERF/INRA. Rapport final de cinquième tranche 28/11/2002., In Modélisation et intégration logicielle : croissance, branchaison, qualité des bois. Aide à la décision pour la sylviculture et l´utilisation du bois des essences forestières françaises, Bordeaux (France), Auclair D. [ed.], p. 4p. de Coligny F, Ancelin P, Cornu G, Courbaud B, Dreyfus P, Goreaud F, Gourlet-Fleury S, Meredieu C, Saint-André L (2003) CAPSIS: computer-aided projection for strategies in silviculture, advantages of a shared forest-modelling platform. In: Amaro A, Reed D, Soares P, Modelling Forest Systems, CABI Publishing, Wallingford pp 319–323 de Coligny F, Meredieu C., Labbé, T., Vallet P., Dreyfus, P., 2005. Using Capsis for connection with Wood quality. Workshop IUFRO 5.01.04 "Connection between Forest Resources and Wood Quality: Modelling Approaches and Simulation Software", 20- 27 november 2005, Waiheke Island . link to Capsis -> http://coligny.free.fr/ Connection with wood quality Reuling D (2005) Potentiel d’utilisation du Pin maritime dans la construction en fonction des conditions de croissance définies dans le modèle Pp3. Master of Science, Université Bordeaux1 France, p 70 Bucket E, Meredieu C., Labbé T. 2005. Modélisation du bilan carbone pour un système « forêt de pin maritime – produits bois“: comparaison pour 3 scénarios sylvicoles contrastés. VIIIe Colloque Arbora Carbone, Forêt, Bois : Impacts du changements climatique, Stratégies pour la filière, 1 et 2 décembre 2005, Ed. Arbora, 209-217. Connection with hazards Cucchi V., Meredieu C, Stokes A, Coligny F, Suarez, J., Gardiner, B. 2005. Modelling the windthrow risk for simulated stands of Maritime pine, Forest Ecology and management, 213: 184-196. |
| Equations | |
| Context | EFORWOOD |
| URL | no url at the moment |
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