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Orientador(es)
Resumo(s)
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, stone pine and maritime pine), 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 creation 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
Descrição
Resource Communication
Palavras-chave
forest simulator forest management approaches StandsSIM-MD forest management
Contexto Educativo
Citação
Barreiro, S., Rua, J., Tomé, M. (2016). StandsSIM-MD: a Management Driven forest SIMulator. Forest Systems, Volume 25, Issue 2, eRC07
Editora
INIA
