Perspectives on New Developments of Decision Support Systems for Sustainable Forest Management

Autori

  • Pete Bettinger The University of Georgia, USA
  • Chris J Cieszewski The University of Georgia, USA
  • André Falcão The University of Lisboa Bloco, Lisboa, Portugal

Parole chiave:

Symposium Proceedings, DSFM, Systems Analysis, Operations Research

Abstract

This overview is an introduction to, and short discussions of, a selection of papers from the 2010 Workshop on Decision Support Systems in Sustainable Forest Management held in Lisbon, Portugal, on April 19-21, 2010. The papers from this workshop were selected as a result of collaboration between the conference organizers, its participants, and the editorial team of Mathematical and Computational Forestry & Natural-Resource Sciences. The collection of the articles that passed the peer-review process are presented in this Special Section on Decision Support Systems for Sustainable Forest Management, and are discussed by the Editorial Team that conducted the peer-review of this Special Section.

Biografia autore

  • André Falcão, The University of Lisboa Bloco, Lisboa, Portugal

    Currently doing research in data mining and machine learning for biological systems in bioinformatics. Has also extensive experience in combinatorial optimization and information visualization of natural environments at the landscape level

Riferimenti bibliografici

Bettinger, P. 1999. Distributing geographic information systems capabilities to field offices: Benefits and challenges. Journal of Forestry. 97(6):22-26.

Ferretti, F., C. Dibari, I. De Meo, P. Cantiani, M. Bianchi. 2011. ProgettoBosco, a Data-Driven Decision Support System for forest planning. Math. Comput. For. Nat.-Res. Sci. 3(1):27-35.

Lawrence, A., A. Stewart. 2011. Sustainable forestry decisions: on the interface between technology and participation. Math. Comput. For. Nat.-Res. Sci. 3(1):42-52.

Martell, D. 2011. The development and implementation of forest and wildland fire management decision support systems: reflections on past practices and emerging needs and challenges. Math. Comput. For. Nat.-Res. Sci. 3(1):18-26.

Van Orshoven, J.M.F., V. Kint, A. Wijffels, R. Estrella, G. Bencsik, P. Vanegas, B. Muys, D. Cattrysse, S. Dondeyne. 2011. Upgrading Geographic Information Systems to Spatio-Temporal Decision Support Systems. Math. Comput. For. Nat.-Res. Sci. 3(1):36-41.

International Journal of Mathematical and Computational Forstry and Natural-Resource Sciences

Dowloads

Pubblicato

2011-02-28

Fascicolo

V. 3 N. 1: MCFNS February 28, 2011

Sezione

Special Section on Decision Support Tools for Sustainable Forest Management

Licenza

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Come citare

Perspectives on New Developments of Decision Support Systems for Sustainable Forest Management. (2011). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 3(1), Pages: 15-17 (3). https://www.tmp.17921125833755a190e36a5857.temporary.link/index.php/Journal/article/view/MCFNS.3-15

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