Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36242

Title: Constraint Modeling for Forest Management
Authors: Eloy, Eduardo
Bushenkov, Vladimir
Abreu, Salvador
Editors: Tchemisova, Tatiana
Torres, Delfim
Plakhov, Alexander
Keywords: Constraint programming
Forest management
Spatial restrictions
Adjacency constraints
Issue Date: 2022
Publisher: Springer
Citation: Eloy, E., Bushenkov, V., Abreu, S. (2022). Constraint Modeling for Forest Management. In: Tchemisova, T.V., Torres, D.F.M., Plakhov, A.Y. (eds) Dynamic Control and Optimization. DCO 2021. Springer Proceedings in Mathematics & Statistics, vol 407. Springer, Cham. https://doi.org/10.1007/978-3-031-17558-9_10
Abstract: Forestmanagement is an activity of prime economic and ecological impor2 tance. Managed forest areas can span very large regions and their proper manage3 ment is paramount to an effective development, in terms both of economic and natural 4 resources planning. Amanaged activity consists of individual andmutually indepen5 dent policy choices which apply to distinct patches of land—named stands—which, 6 as a whole, make up the forest area. A forest management plan typically spans a 7 period of time on the order of a century and is normally geared towards the optimisa8 tion of economic or environmental metrics (e.g. total wood yield.) In this article we 9 present a method which uses a declarative programming approach to formalise and 10 solve a long-term forest management problem.We do so based on a freely available 11 state-of-the-art constraint programming system,whichwe extend to naturally express 12 concepts related to the core problem and efficiently compute solutions thereto.
URI: https://link.springer.com/chapter/10.1007/978-3-031-17558-9_10
http://hdl.handle.net/10174/36242
Type: bookPart
Appears in Collections:CIMA - Publicações - Capítulos de Livros

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