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Articles

2017

Journal articles, books, conference proceedings

Barreiro, S., Schelhaas, M.-J., McRoberts, R.E., Kändler, G. (Eds.), 2017. Forest Inventory-based Projection Systems for Wood and Biomass Availability. Managing Forest Ecosystems Vol. 29. Springer International Publishing, the Netherlands. https://dx.doi.org/10.1007/978-3-319-56201-8

2016

Journal articles, book chapters, conference proceedings

Pérez, F., Nunes, L., Sil, A., Azevedo, J.C. 2016. FlorNExT®, a cloud computing application to estimate growth and yield of maritime pine (Pinus pinaster Ait.) stands in northeastern Portugal. Forest Systems 25(2): eRC08. http://dx.doi.org/10.5424/fs/2016252-08975.

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).
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.
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.

Fernando Pérez-Rodríguez, Luís Nunes, João Azevedo
A software tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©
Mathematical and Computational Forestry & Natural-Resource Sciences 8(1):35-53

Costs and environmental impacts are key elements in forest logistics and they must part of decision-making. The evaluation of transportation fuel costs and carbon emissions depend on spatial and non-spatial data but in many cases the first type of data are difficult to obtain. On the other hand, the availability of software tools to evaluate with rigor transportation fuel quantities and costs and emissions of carbon dioxide is limited. We present a software tool that combines two empirical validated models of truck transportation using DEM and an open spatial data tool, specifically OpenStreetMap©. The tool provides outputs such as maps with distribution of transport performance (relation between beeline and real road distances), cost and CO2 emissions for four types of truck. These outputs can be successfully included in forest decision-making support systems. Finally, in this work we applied the tool in a particular case of forest logistics in northeastern Portugal.

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This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 613762.