Publications

Found 321 results
2016
Garcia-Gonzalo J., Pais C., Bachmatiuk J., Weintraub A..  2016.  Accounting for climate change in a forest planning stochastic optimization model. Canadian Journal of Forest Research. 46(9):1121.
Borges J.G., Marques S., Garcia-Gonzalo J., Rahman A.U., Bushenkov V., Sottomayor M., Carvalho P.O., Nordström E.M..  2016.  Addressing forest policy and planning by combining participatory workshops and forest management decision support tools . Natural resources and bioeconomy studies. 41: 41-42 .
Vacik H, Lexer MJ.  2016.  The AFM-ToolBox to Support Adaptive Forest Management Under Climate Change (Chapter 10). Real-World Decision Support Systems - Case Studies. Integrated Series in Information Systems
Ferreira L., Constantino M., Borges J.G, Garcia-Gonzalo J., Barreiro S.  2016.  A climate change adaptive dynamic programming approach to optimize eucalypt stand management scheduling. A Portuguese application.. Canadian Journal of Forest Research. 46(8):1008.
Š. Malovrh P, Kurttila M., Hujala T., Kärkkäinen L., Leban V., Lindstad B.H., Peters D.M., Rhodius R., Solberg B., Wirth K. et al..  2016.  Decision support framework for evaluating the operational environment of forest bioenergy production and use: Case of four European countries. Journal of Environmental Management. 180:81.
Boukherroub T., D’Amours S., Rönnqvist M..  2016.  Decision theaters: a creative approach for participatory planning in the forest sector. 6th International Conference on Information Systems, Logistics and Supply Chain ILS Conference 2016, June 1 – 4, Bordeaux, France .
Thiele J.C., Nuske R.S..  2016.  Design and implementation of a web-based decision support system for climate change impact assessment on forests.
Ocampo-Melgar A., Valls A., Alloza J.A., Bautista S..  2016.  Fuzzy rule-based decision support system for evaluation of long-established forest restoration projects. Restoration Ecology. 24(3):305.
Soucy M., Adégbidi H.G., Spinelli R., Bélanda M..  2016.  Increasing the effectiveness of knowledge transfer activities and training of the forestry workforce with marteloscopes. The Forestry Chronicle. 92(4): 418-427 .
Boisvenue C., Smiley B.P., White J.C., Kurz W.A., Wulder M.A..  2016.  Integration of Landsat time series and field plots for forest productivity estimates in decision support models. Forest Ecology and Management. 376:297.
Griess V.C..  2016.  New developments in forest management planning. CAB Reviews Perspectives in Agriculture Veterinary Science Nutrition and Natural Resources . 11(005):6.
Filyushkina A., Strange N., Löf M., Ezebilo E.E., Boman M..  2016.  Non-market forest ecosystem services and decision support in Nordic countries. Scandinavian Journal of Forest Research. 31(1):110.
Jahani A., Feghhi J., Makhdoum M.F., Omid M..  2016.  Optimized forest degradation model (OFDM): an environmental decision support system for environmental impact assessment using an artificial neural network. Journal of Environmental Planning and Management. 59(2):244.
Tikkanen J., Hujala T., Kurttila M..  2016.  Potentials of collaborative decision support methodologies to enhance reconciliation of competing forest uses - An action research on Regional Forest Programme in Finland. Land Use Policy. 55:72.
PÉREZ-RODRÍGUEZ F., NUNES L., AZEVEDO J.C..  2016.  A Software Tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS). 8(1):35-53.
Nobre S, Eriksson L.O., Trubins R.  2016.  The Use of Decision Support Systems in Forest Management: Analysis of FORSYS Country Reports. Forests . 7(3)
Pastorella F., Borges J.G., De Meo I..  2016.  Usefulness and perceived usefulness of Decision Support Systems (DSSs) in participatory forest planning: The final users’ point of view. IForest. 9:429.

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