Abstract

Aim of the study: Decision support systems for forest management (FMDSS) have been developed world wide to account for a broad range of forest ecosystems, management goals and organizational frameworks (e.g. the wiki page of the FORSYS project reports 62 existing FMDSSs from 23 countries). The need to enhance the collaboration among this diverse community of developers and users fostered the rise of new group communication processes that could capture useful knowledge from past experiences in order to efficiently provide it to new FMDSS development efforts.Material and methods: This paper presents and tests an exploratory process aiming to identify the empirical guidelines assisting developers and users of FMDSS. This process encompasses aDelphi survey built upon the consolidation of the lessons-learned statements that summarize the past experiences of the experts involved in the FORSYS project. The experts come from 34 countries and have diverse interests, ranging from forest planners, IT developers, social scientists studying participatory planning, and researchers with interests in knowledge management and in quantitative models for forest planning.Main results: The proposed 37 empirical guidelines that group 102 lessons-learned cover a broad range of issues including the DSS development cycle, involvement of the stakeholders, methods, models and knowledge-based techniques in use.Research highlights: These results may be used for improving new FMDSS development processes, teaching and training and further suggest new features of FMDSS and future research topics. Furthermore, the guidelines may constitute a knowledge repository that may be continuously improved by a community of practice.Keywords: Forest management; guidelines; guidelines definition process; lessons learned; decision support systems; system architecture; knowledge management; participatory planning; Delphi.

Highlights

  • Forests serve a multitude of functions, including the provision of timber and non-timber forest products, clean water, carbon storage, recreation, and biodiver-sity

  • The emphasis is on the architecture of these systems, the models & methods used to support decision-making, the knowledge management tools and participatory processes adopted by the stakeholders engaged on forest management

  • The empirical guidelines evolved from the experience-based knowledge of panellists, who communicated their lessons-learned within the Delphi framework rather than separated their normative knowledge from the tacit knowledge

Read more

Summary

Introduction

Forests serve a multitude of functions, including the provision of timber and non-timber forest products, clean water, carbon storage, recreation, and biodiver-sity. Major European policy initiatives, such as the Ministerial Conference on the Protection of Forests in Europe (http://www.foresteurope.org) and EU Strategic Research Agenda for the Forest-Based Sector (EU 2010) are being implemented to support multifunctional forest management. Addressing these diverse goals to satisfy the needs of forest owners, the forest industry, and society poses a considerable challenge for forest managers. The need for coordination in the development and application of the forest management decision support systems (FMDSS) motivated the establishment of the European network for forest decision support (FORSYS) as a project of EU-COST. The FORSYS guidelines are statements or other indications of policy or procedure, aiming to assist developers and users on appropriate courses of action for the successful development of FMDSS

Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.