Forest Systems, Vol 25, No 2 (2016)

StandsSIM-MD: a Management Driven forest SIMulator

Susana Barreiro, João Rua, Margarida Tomé

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.