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

Yazarlar

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

Anahtar Kelimeler:

Symposium Proceedings- DSFM- Systems Analysis- Operations Research

Öz

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.

Yazar Biyografisi

  • 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

Referanslar

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

İndir

Yayınlanmış

2011-02-28

Sayı

Cilt 3 Sayı 1: MCFNS February 28, 2011

Bölüm

Special Section on Decision Support Tools for Sustainable Forest Management

Lisans

Authors who publish with this journal agree to the following terms:
    1. Authors grant the journal right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

    1. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

    1. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) following the publication by the journal, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Nasıl Atıf Yapılır

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://v3.mcfns.com/index.php/Journal/article/view/MCFNS.3-15

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