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Research Project
Sustainable Innovative Mobilisation of Wood
Funder
Authors
Publications
Solving multi-objective problems for multifunctional and sustainable management in maritime pine forest landscapes
Publication . Pérez-Rodríguez, Fernando; Nunes, Luís; Azevedo, João
Forest management based on sustainability and multifunctionality requires reliable and user-friendly tools to address several objectives simultaneously. In this work we present FlorNExT Pro®, a multiple-criteria landscape-scale forest planning and management computer tool, and apply it in a region in the north of Portugal to find optimized management solutions according to objectives such as maximization of net present value (NPV), volume growth, and carbon storage, and minimization of losses due to fire. Comparisons made among single- and multi-objective solutions were made to explore the range of possible indicators provided by the tool such as carbon sequestered, volume growth, probability of fire occurrence, volume of wood extracted, and evenness of harvesting in the management period. Results show that FlorNExT Pro® is a reliable, flexible, and useful tool to incorporate multiple criteria and objectives into spatially explicit complex management problems and to prepare sustainable and multifunctional forest management plans at the landscape level. FlorNExT Pro® is also suited to guiding and adapting forest management for uncertainty scenarios for the assessment of ecosystem services and fire risk, therefore playing an important role in the maintenance of sustainable landscapes in the south of Europe.
FlorNExT®, a cloud computing application to estimate growth and yield of maritime pine (Pinus pinaster Ait.) stands in Northeastern Portugal
Publication . Pérez-Rodríguez, Fernando; Nunes, Luís; Sil, Ângelo Filipe; Azevedo, João
Aim of the study: To introduce and describe FlorNExT®, a free cloud computing application to estimate growth and yield of
maritime pine (Pinus pinaster Ait.) even-aged stands in the Northeast of Portugal (NE Portugal).
Area of study: NE Portugal.
Material and methods: FlorNExT® implements a dynamic growth and yield modelling framework which integrates transition
functions for dominant height (site index curves) and basal area, as well as output functions for tree and stand volume, biomass,
and carbon content.
Main results: FlorNExT® is freely available from any device with an Internet connection at: http://flornext.esa.ipb.pt/.
Research highlights: This application has been designed to make it possible for any stakeholder to easily estimate standing volume,
biomass, and carbon content in maritime pine stands from stand data, as well as to estimate growth and yield based on four
stand variables: age, density, dominant height, and basal area. FlorNExT® allows planning thinning treatments. FlorNExT® is a
fundamental tool to support forest mobilization at local and regional scales in NE Portugal.
Material and methods: FlorNExT® implements a dynamic growth and yield modelling framework which integrates transition functions for dominant height (site index curves) and basal area, as well as output functions for tree and stand volume, biomass, and carbon content.
Main results: FlorNExT® is freely available from any device with an Internet connection at: http://flornext.esa.ipb.pt/.
Research highlights: This application has been designed to make it possible for any stakeholder to easily estimate standing volume, biomass, and carbon content in maritime pine stands from stand data, as well as to estimate growth and yield based on four stand variables: age, density, dominant height, and basal area. FlorNExT® allows planning thinning treatments. FlorNExT® is a fundamental tool to support forest mobilization at local and regional scales in NE Portugal.
FlorNExTPro®: herramienta para la gestión forestal en la región del NE de Portugal
Publication . Pérez-Rodríguez, Fernando; Nunes, Luís; Sil, Ângelo Filipe; Azevedo, João
En el Nordeste Transmontano (Portugal), la falta de una red de primera transformación forestal bien definida deriva en que la materia prima no esté convenientemente valorizada y, con ello, su precio este por debajo del mínimo de rentabilidad para el propietario, el cual apenas invierte en tratamientos silvícolas. Aplicar una mínima gestión no resuelve el problema económico, ya que este depende de la demanda, pero reduce la probabilidad de ocurrencia de riesgos ambientales y/o sociales, o, en caso de que estos sucedan, mínima el esfuerzo de mitigación. En un contexto de incertidumbre, gestionar es complicado, sin embargo, proporcionar herramientas informáticas específicas para los técnicos lo facilita en cierta medida. En este sentido, involucrar a los técnicos en la fase de desarrollo de estas herramientas permite tener el conocimiento de las necesidades, requerimientos y las barreras de uso, abriendo la posibilidad de aplicar medidas para que la herramienta final se adapte a la realidad. Como resultado de este marco colaborativo, se presenta el FlorNExTPro®, programa de entorno Windows desarrollado para la obtención de un plan de gestión basado en optimización. FlorNExTPro® resuelve la cronología de cortas y claras para un conjunto de parcelas bajo restricciones operativas
definidas por el usuario.
ForestMTIS: Proyecto compilado ASP.Net para generar aplicativos web de simulación de crecimiento y producción de especies forestales
Publication . Pérez-Rodríguez, Fernando; Nunes, Luís; Gómez-García, Esteban; Azevedo, João
Los modelos de crecimiento y producción que frecuentemente se desarrollan en investigación son necesarios para la toma de decisiones por parte de los gestores forestales. Para llevar a cabo esta transferencia de conocimiento, las aplicaciones informáticas son una buena opción, ya que facilitan el uso de complejas ecuaciones. El objetivo de este trabajo es desarrollar un aplicativo web genérico, flexible y personalizable para la transferencia de modelos forestales. El resultado es Forest_MTIS, un conjunto de archivos compilados en ASP.NET que al ser ejecutado en el gestor IIS de Windows generan una página web con formularios para utilizar los modelos forestales de manera sencilla. Estos archivos se dividen en 5 categorías: lógica y arquitectura, librería de modelos, textos, imágenes y estilos. Todos ellos pueden ser editados salvo la lógica y la arquitectura que se mantiene estática
para salvaguardar la funcionalidad del programa. En la librería de modelos se disponen todas las
ecuaciones necesarias, así como sus características, y puede ser editada usando cualquier IDE de
lenguaje C#. Además, con la edición de las imágenes, estilos y textos, se puede modificar
completamente la apariencia de la herramienta. Por último, un ejemplo de utilización de Forest_MTIS
es la aplicación FlorNExT 1.0 (http://flornext.esa.ipb.pt/).
A compiled project and open-source code to generate web-based forest modelling simulators
Publication . Gómez-García, Esteban; Azevedo, João; Pérez-Rodríguez, Fernando
Sustainable forest management requires decision support systems to evaluate possible scenarios and anticipate
the consequences of decisions. Forest modellers typically develop complex systems of equations to predict the
behaviour of forests which makes the use of forest models difficult for end-users in general, affecting transfer of
knowledge and technology. To overcome these difficulties and facilitate their practical use, models can be integrated
into software to generate user-friendly forest simulators. In this paper we introduce and describe
ForestMTIS, a cloud computing compiled and editable open-source project to generate forest simulators which
was developed for statistical, non-spatial, deterministic, disaggregated, single species even-aged stand growth
and yield models. We demonstrate the use of ForestMTIS based on the development of FlorNExT®, its first
practical application, based on a collaborative approach to make growth and yield modelling and sustainable
forest management available to a large community of users in the Northeast of Portugal.
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Description
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Contributors
Funders
Funding agency
European Commission
Funding programme
FP7
Funding Award Number
613762