MapModels: a new approach for spatial decision support in silvicultural decision making

Riedl, Leopold; Vacik, Harald; Kalasek, Robert

doi:10.1016/s0168-1699(00)00096-x

Cited by 13 publications

(6 citation statements)

References 1 publication

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“…The potential power of GIS goes beyond producing maps by providing mechanisms for the input, storage, analysis and use of spatial information. GIS on one hand has increased the acceptance of DSSs, as the need to integrate spatial information in decision-making became evident, on the other hand, it provided opportunities to improve analysis and has led to development and application of spatial DSSs (Covington et al 1988;Fedra & Reitsma 1990;Densham 1991;Riedl et al 2000). Within forestry, Naesset (1997) was among the first to address new spatial demands in strategic and operational planning for SFM.…”

Section: Technology Models and Methodsmentioning

confidence: 99%

Past, current and future drivers for the development of decision support systems in forest management

Vacik

Lexer

2013

Scandinavian Journal of Forest Research

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The potential for development in decision support for forest management is set by decision theory, available technology and methods. Demands for decision support are emerging from contemporary challenges and problems of forest management which act as stimuli for the science community. Objectives and approaches in forest management as well as technologies have been changing throughout history. Accordingly, the demand for tools to support planning and decision-making has evolved. In this contribution, the authors review the historic development of decision support systems (DSS) for forest management and discuss past, current and future drivers. Based on evidence from scientific literature, case studies in the frame of the Forest Management Decision Support Systems (FORSYS) action, as well as experiences of the authors some hypotheses about the future of DSS are drawn. It is shown that in the past, the drivers evolving from forest management as well as decision support technologies have influenced the way of how models and methods have been applied as well as how DSS architectures have been designed. It is concluded that in the future, the challenges for DSS development will increase, as the complexity of decision-making processes and the related models will compete with the user demands which ask for simplicity.

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Section: Technology Models and Methodsmentioning

confidence: 99%

Past, current and future drivers for the development of decision support systems in forest management

Vacik

Lexer

2013

Scandinavian Journal of Forest Research

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“…In the same direction, Rauscher et al (2000) also applied AHP to evaluate four management alternatives taking into consideration non-timber criteria like visual quality, water production, wildlife or ecology. Riedl et al (2000) used the same type of approach for a case near the town of Vienna. Finally, used AHP for comparing four different scoring techniques for a ratio-scale assessment of several criteria in a forest management case.…”

Section: Extended Harvest Scheduling Problemsmentioning

confidence: 99%

Making forestry decisions with multiple criteria: A review and an assessment

Dı́az-Balteiro¹,

Romero²

2008

Forest Ecology and Management

293

177

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“…These approaches can be categorized according to: the extent of integration and the direction of integration of GIS and MCDA. Thus, the two systems share not only the communication files but also common user-interface (e.g., Riedl et al 2000). In the loose coupling approach, two systems (GIS and multicriteria modeling system) exchange files such that a system uses data from the other system as the input data (e.g., Guimarães Pereira et al 1994;.…”

Section: Integration Of Gis and Mcdamentioning

confidence: 99%