Connecting an architectural plant model to a forest stand dynamics model—application to Austrian black pine stand visualization
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Forest stand dynamics models simulate the growth of trees in stands; based on field measurements and system knowledge, they provide a relatively precise representation of forest growth and are well adapted for forest management purposes. Architectural models describe the structure of plants according to ontogenetic development processes; as a support of biomass production and partitioning at organ scale, they simulate individual tree development.
The aim of this study was to link a stand dynamics model and an architectural model to simulate stand dynamics, in which the ecological or silvicultural modelling from the stand model and the architecture representation could be integrated, to provide individual tree details at the stand level.
Stand-level simulations of Austrian black pine dynamics provided global results on tree growth from the empirical forest growth model PNN, and branching details for individual trees were provided by the functional–structural plant model (FSPM) GreenLab.
Individual tree dynamics were computed, and the simulated trees were integrated at the stand level for visualizing two different management scenarios.
By combining a stand dynamics model adapted to forest management with an FSPM with detailed tree architecture, it is possible to simulate individual tree structure with consistent dimensions, adapted to ecological and silvicultural modelling for decision support in forest management.
KeywordsEmpirical forest growth model Architectural model GreenLab Pinus nigra nigra Visualization
This paper was part of the PhD project of the first author, which was funded by the China Scholarship Council with the support of CIRAD. The authors are greatly indebted to research technicians of INRA-URFM, non-permanent staff and students, involved in establishing and maintaining plots, measuring surveyed trees, performing stem and branch analyses in the field and hence gathering the data necessary for calibrating the EFM. Thanks are also due to the French National Forest Service (ONF) for allowing us to establish experimental plots in managed stands and to fell trees for stem and branching analyses, to Sébastien Griffon and François de Coligny for their contribution to visualization software development and to two anonymous reviewers for their constructive comments.
- Auclair D (2010) Forest and natural ecosystem managers in the landscape—multiscale modelling, challenges and opportunities. In: Fabre JC, Jaeger M, Louchart X, Muller JP (eds) LandMod 2010: International Conference on Integrative Landscape Modelling, Montpellier, France. Available at http://www.symposcience.org
- Bosanac B, Zanchi P (2002) Onyx Tree Conifer User’s Manual, version 5.1. Onyx Computing, Cambridge, USAGoogle Scholar
- Brugnach M, Pahl-Wostl C, Lindenschmidt KE et al (2008) Complexity and uncertainty: rethinking the modelling activity. In: Jakeman AJ, Voinov AA, Rizzoli AE, Chen SH (eds) Environmental modelling, software and decision support. Elsevier, Amsterdam, pp 49–68Google Scholar
- de Reffye P (2009) Production végétale et architecture des plantes. Comptes-rendus, Académie d’Agriculture de France. Available at http://www.academie-agriculture.fr/mediatheque/seances/2009/20090128resume3_integral.pdf
- de Reffye P, Houllier F (1997) Modelling plant growth and architecture: some recent advances and applications to agronomy and forestry. Curr Sci 73:984–992Google Scholar
- Deussen O, Lintermann B (2005) Digital design of nature: computer generated plants and organics. Springer, BerlinGoogle Scholar
- Dreyfus P (1993) Modelling Austrian black pine response to silvicultural practices in the South East of France. In: Burkhart HE, Gregoire TG, Smith JL (eds) Proc IUFRO S4.01 conf “Modelling stand response to silvicultural practices”. Publ FWS-1-93, Virginia Polytech Inst and State Univ, Blacksburg, pp 5–18Google Scholar
- Dufour-Kowalski S, Courbaud B, Dreyfus P, Meredieu C, de Coligny F (2011) Capsis: an open software framework and community for forestry modelling. Ann For Sci. doi: 10.1007/s13595-011-0140-9
- Griffon S, Nespoulous A, Cheylan JP, Marty P, Auclair D (2011) Virtual reality for cultural landscape visualization. Virtual Reality. doi: 0.1007/s10055-010-0160-z
- Ladier J, Rey F (eds) (2011) Guide des Sylvicultures de Montagne pour les Alpes du Sud françaises. ONF-Cemagref-INRA, Paris (in press)Google Scholar
- Meredieu C, Caraglio Y, Saint-André L, de Coligny F, Barczi JF (2004) The advantages of coupling stand description from growth models to tree description from architectural models. In: Godin C, Hanan J, Kurth W et al (eds) 4th International Workshop on Functional–Structural Plant Models, 7–11 June 2004, Montpellier, France, pp 243–247Google Scholar
- Muys B, Hynynen J, Palahí M et al (2010) Simulation tools for decision support to adaptive forest management in Europe. For Syst 19:86–99Google Scholar
- Pretzsch H (2009) Forest dynamics, growth and yield. Springer, BerlinGoogle Scholar
- Rautiainen M, Mõttus M, Stenberg P, Ervasti S (2008) Crown envelope shape measurements and models. Silva Fennica 42:19–33Google Scholar
- Vanclay JK (1994) Modelling forest growth and yield, applications to mixed tropical forests. CAB, WallingfordGoogle Scholar
- Wang F, Kang MZ, Lu Q, Han H, Letort V, Guo Y, de Reffye P, Li B (2010) Calibration of topological development in the procedure of parametric identification: application to the stochastic GreenLab model for Pinus Sylvestris var. Mongolica. In: Li B, Jaeger M, Guo Y (eds) Plant growth modelling, simulation, visualization and applications. IEEE Comput Soc, Los Alamitos, pp 26–33Google Scholar