StandsSIM-MD: a Management Driven forest SIMulator
Abstract
Aim of the study: The existing stand level forest simulators available in Portugal were not developed with the aim of including up-to-date model versions and were limited in terms of accounting for forest management. The simulators’ platform, sIMfLOR was recently created to implement different growth models with a common philosophy. The objective was developing one easily-updatable, user-friendly, forest management and climate change sensitive simulator capable of projecting growth for the main tree species in Portugal.
Area of the study: Portugal.
Material and methods: The new simulator was programmed in a modular form consisting of several modules. The growth module integrates different forest growth and yield models (empirical and process-based) for the main wood production tree species in Portugal (eucalypt, umbrella and maritime pines); whereas the management module drives the growth projections along the planning horizon according to a range of forest management approaches and climate (at present only available for eucalypt).
Main results: The main result is the StandsSIM-MD Management Driven simulator that overcomes the limitations of the existing stand level simulators. It is a step forward when compared to the models currently available in the sIMfLOR platform covering more tree species, stand structures and stand compositions. It is focused on end-users and it is based on similar concepts regarding the generation of required inputs and generated outputs.
Research highlights:
- Forest Management Driven simulations approach
- Multiple Prescriptions-Per-Stand functionality
- StandsSIM-MD can be used to support landowners decisions on stand forest management
- StandsSIM-MD simulations at regional level can be combined with optimization routines
Keywords: Forest simulator, Forest Management Approaches; StandsSIM-MD; forest management.
Downloads
References
References
CELPA, 2014. Boletim Estatístico 2008 da Associação da Indústria Papeleira. CELPA Editores. Lisbon, Portugal.
EC, 2008. Mobilisation and efficient use of wood and wood residues for energy generation, Standing Forestry Committee ad hoc Working Group II. http://ec.europa.eu/agriculture/fore/publi/sfc_wgii_final_report_072008_en.pdf (the study).
Faias SP, Palma JHN, Barreiro S, Paulo JA, Tomé M, 2012. sIMfLOR – Platform for the Portuguese forest simulators. Forest Systems. 21(3): 543-548. http://dx.doi.org/10.5424/fs/2012213-02951
Garcia-Gonzalo J, Palma JHN, Freire J, Tomé M, Mateus R, Rodríguez LCE, Bushenkov V, Borges JG, 2013. A decision support system for a multi-stakeholder's decision process in a Portuguese National Forest. Forest Systems 2013 22(2): 359-373.
Muys B, Hetemäki L, Palahi M, 2013. Sustainable wood mobilization for EU renewable energy targets. Biofuels, Bioprod. Bioref. 7: 359–360. http://dx.doi.org/10.1002/bbb.1421
Rua J, Barreiro S, Tomé M, 2015. Portuguese forest simulator - StandsSIM description. Relatórios Técnicos Forchange RT3, Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Portugal.
Wikström P, Edenius L, Elfving B, Eriksson LO, Lämås T, Sonesson J, Öhman K, Wallerman J, Waller C, Klintebäck F, 2011. The Heureka forestry decision support system: An overview. Mathematical and Computational Forestry & Natural-Resource Sciences 3(2): 87-94.
© CSIC. Manuscripts published are the property of Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
Forest Systems is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License. You may read here the basic information and the legal text of the license. The indication of the license CC-by must be expressly stated in this way when necessary.