Review. A brief overview of forest management decision support systems (FMDSS) listed in the FORSYS wiki
Abstract
Aim of study. The aim of the study was to overview forest management decision support systems (FMDSS) listed in the FORSYS wiki in terms of software design and architecture.
Area of study. A total of 62 FMDSS from 23 countries were included into the study.
Material and methods. First, all FMDSS listed in the FORSYS wiki were described in terms of functionalities, typologies and elements of architecture. Thereafter, the findings were compared with the desired architectural features of FMDSS to identify success or potential gaps. Finally, some measures were suggested to improve knowledge transfer and smooth integration of system components.
Main results. Most of the systems listed in the FORSYS wiki originate from research projects and are either knowledge- or model-driven. There are only few compound systems or tools that can be used as sub-components in integrated systems.
Research highlights. There is a lack of generic platforms or DSS generators that would facilitate construction of integrated systems. Further efforts are needed to study the potential of cloud services.
Keywords: forest management; decision support systems; software architecture; typologies.
Downloads
References
Bell M. 2010. SOA Modeling Patterns for Service-Oriented Discovery and Analysis. Wiley & Sons. pp. 390. ISBN 978-0-470-48197-4. PMid:19914292
Bugmann H, Palahi M, Bontemps J-D, Tome M. 2010. Trends in modeling to address forest management and environmental challenges in Europe: Introduction. Forest Systems 19(SI), 3–7.
Fontes L, Bontemps J-D, Bugmann H, Van Oijen M, Gracia C, Kramer K, Lindner M, Rötzer T, Skovsgaard J-P. 2010. Models for supporting forest management in a changing environment. Forest Systems 19(SI), 8–29
Haettenschwiler P. 1999. Neues anwenderfreundliches Konzept der Entscheidungsunterstützung. Gutes Entscheiden in Wirtschaft, Politik und Gesellschaft. Zurich, vdf Hochschulverlag AG, 189-208.
Kangas A, Rasinmäki J (Eds.) 2008. SIMO – Adaptable Simulation and Optimisation for Forest management planning. Metsävarojen käytön laitoksen julkaisuja 41. http://www.simo-project.org/documentation/SIMObook.pdf.
Marques AF, Ficko A, Kangas A, Rosset C, Ferreti F, Rasinmaki J, Nuutinen T, Gordon S. 2013a. Empirical Guidelines for Forest Management Decision Support Systems Based on the Past Experiences of the Expert's Community. Manuscript to Forest Systems, June 2012.
Marques A F, Ficko A, Kangas A, Rosset C, Ferreti F, Rasinmaki J, Nuutinen T, Gordon S. 2013b. Collaborative Development of a Semantic Wiki on Forest Management Decision Support. Submitted to Scandinavian Journal of Forest Research.
Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A. 2011. Cloud computing — The business perspective. Decision Support Systems 51, 176–189. http://dx.doi.org/10.1016/j.dss.2010.12.006
Menzel S, Nordström E-M, Buchecker M, Marques A, Saarikoski H, Kangas A. 2012. Decision support systems in forest management: requirements from a participatory planning perspective. European Journal of Forest Research 131, 1367-1379. http://dx.doi.org/10.1007/s10342-012-0604-y
Muys B, Hynynen J, Palahi M, Lexer MJ, Fabrika M, Pretzsch H, Gillet F, Brice-o E, Nabuurs G-J, Kint V. 2010. Simulation tools for decision support to adaptive forest management in Europe. Forest Systems 19(SI), 86–99.
Potter WD, Liu S, Deng X, Rauscher HM. 2000. Using DCOM to support interoperability in forest ecosystem management decision support systems. Computers and Electronics in Agriculture 27, 335–354. http://dx.doi.org/10.1016/S0168-1699(00)00091-0
Power DJ. 1997. What is a DSS? The On-Line Executive Journal for Data-Intensive Decision Support 1, 3.
Power DJ. 2002. Decision support systems: concepts and resources for managers. Westport, Conn., Quorum Books.
Rauscher HM, 1999. Ecosystem management decision support for federal forests in the United States: a review. Forest Ecology and Management 114, 173–197. http://dx.doi.org/10.1016/S0378-1127(98)00350-8
Reynolds KM, 2005. Integrated decision support for sustainable forest management in the US: fact or fiction? Computers and Electronics in Agriculture 49, 6–23. http://dx.doi.org/10.1016/j.compag.2005.02.002
Reynolds KM, Twery M, Lexer MJ, Vacik H, Ray D, Shao G, Borges JG. 2008. Decision Support Systems in Forest Management. In: Burstein F, Holsapple C. (eds.). Handbook on Decision Support Systems. Springer Berlin, Heidelberg. pp. 499–533. http://dx.doi.org/10.1007/978-3-540-48716-6_24
Saarenmaa H, Martin J, Jensen S, Peifer H, McInnes G. 2002. Development of common tools and a shared information infrastructure for the European Environmental Information System. Technical Reports Vol. 83, 36 p. European Environment Agency, Copenhagen.
Zhang S, Goddard S. 2007. A software architecture and framework for Web-based distributed Decision Support Systems. Decision Support Systems 43, 1133–1150. http://dx.doi.org/10.1016/j.dss.2005.06.001
© CSIC. Manuscripts published in both the printed and online versions of this Journal are the property of Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a “Creative Commons Attribution 4.0 International” (CC BY 4.0) License. You may read here the basic information and the legal text of the license. The indication of the CC BY 4.0 License must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the published by the Editor, is not allowed.