4.04.04 - Sustainable forest management scheduling

UNIT NOTICEBOARD

2020-11-10

Special issue of Forests: Call for Manuscript Submissions

Spatial Decision Support for Forest Management and Policy Formulation

Journal
Forests

Guest editors

Dr. Keith M Reynolds, USDA Forest Service Research, Pacific Northwest Research Station, keith.reynolds2@usda.gov
Dr. Paul F Hessburg, USDA Forest Service Research, Pacific Northwest Research Station, paul.hessburg@usda.gov
Prof. Jose Borges, University of Lisbon, Instituto Superior de Agronomia, joseborges@isa.ulisboa.pt
Prof. Harald Vacik, University of Natural Resources and Life Sciences, Vienna, Institute of Silviculture, harald.vacik@boku.ac.at

Aims and scope

Decision support systems for forest management have been steadily evolving since about 1980 in response to growing demand from forest managers for sophisticated analytical systems that can address the complexities of contemporary forest management issues such as adaptive management in the context of concerns for managing for forest ecosystem sustainability, integrity, and resilience while ensuring the provision of ecosystem services. In this same time frame, there has also been a steady shift in emphasis from stand-level to landscape-level decision support systems, in part driven by improved ecological understanding of, and appreciation for, the need to account for patterns and processes in forest management and planning.

Accordingly, the Editors of Forests have commissioned a 2021 special issue on spatial decision support systems and their application to state-of-the-art landscape solutions for forest management and policy formulation. In this initial call, manuscript proposals are invited on original research and review articles addressing:

  • Contemporary, state-of-the art systems and their application, emphasizing spatial decision support for either forest management or policy formulation.
  • Forward-looking (and perhaps more speculative) articles on how to advance spatial decision support technologies for forest management and policy formulation beyond the current state of the art.

Spatial decision support technologies have evolved on numerous pathways, including

  • knowledge-based,
  • probabilitistic,
  • and linear programming systems,
  • as well as combinations of these and other technologies,

so articles addressing any of these areas are welcome.

Articles addressing complex spatial decision support topics, such as support for

  • adaptive forest management,
  • forest ecosystem sustainability,
  • forest ecosystem integrity,
  • forest ecosystem resilience,
  • managing for pattern and process, and
  • provision of ecosystem services

are especially encouraged.

This special issue is sponsored by the International Union of Forest Research Organizations, research group 4.03: Uncertainty Analysis, Computational Ecology, and Decision Support, and research group 4.04.04, Sustainable Forest Management Scheduling.

Details: https://www.mdpi.com/journal/forests/special_issues/decision_support_forest_management_policy

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About Unit

Unit 4.04.04 focuses on the development and application of new methods and tools for efficiently and effectively managing forests. An objective of this unit is to facilitate interaction, dissemination and exchange of new models, methods and technological innovations to address sustainable forest management scheduling through workshops, conferences, and publications.


State of Knowledge

Forests serve a multitude of functions and addressing so many different goals to satisfy the needs of forest owners, the forest industry, and society poses a considerable challenge for forest managers. Sustainable forest ecosystem management scheduling involves complex decision-making processes that cannot be addressed by empirical methods only, but requires advanced decision-support tools. Research and development in the past 30 years have enabled substantial changes in the practice of forest management. There is a wide experience of developing and applying management science approaches and computerized decision-support tools for sustainable forest management.

Key to further innovation and success of sustainable forest management scheduling is the development and dissemination of research that may target hot topics such as a) the architecture and implementation of decision support systems (DSS), b) the models and methods to support decision-making in DSS, c) the knowledge management techniques in DSS and d) the participatory processes to be supported by DSS.

This will be influential to innovation in several processes within sustainable forest management scheduling namely:  (1) operational, tactical and strategic forest management decision analysis, (2) assessment and analysis of forestry projects, (3) economic and environmental impact assessment of forestry projects and programs, (4) decision analysis as a forest policy tool, (5) participatory forest resources decision making and collaborative planning, (6) methodologies for regional and national forestland use planning and (7) the development of both undergraduate and graduate level forest resources management and economics courses.


Activities and events Unit 4.04.04

Upcoming event

From/ToTitleLocation
2021-08-08
2021-08-11
19th Symposium on Systems Analysis in Forest Resources (SSAFR 2021)Estes Park, Colorado, United States

More activities and events (1 total)
Calendar of Meetings