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http://hdl.handle.net/10174/36242
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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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