4.04.04 - Sustainable forest management scheduling
Special Issue of Land: Call for Manuscript Submission
Special Issue: "Decision Support Systems (DSS) for the Analysis of Pathways that Optimize Ecosystem Services Provision"
Submissions are invited for a Special Issue of Land.
Mixed conifer forests are found throughout the temperate zones on a variety of landscapes in both the northern and southern hemispheres. Like most mixed species forests, mixed conifer forests exist because different species coexist in a temporal or spatial pattern. Particularly in mountainous regions, mixed conifer forests are highly heterogeneous and can vary over a short distance. Mixed species assemblages can be either seral or stable, developing under patterns of one or more disturbances or developing under a fairly specific edaphic and climatic regime. Depending on the severity of expected anthropogenic climate change effects, these assemblages may face novel conditions that upset the competitive balances that historically existed. This Special Issue will present research and operational monitoring results at scales ranging from the level of individual tree group or stand up to landscape processes. We welcome studies on (1) basic physiology and stand dynamics and (2) operational treatments and impacts that provide evidence of influences on forest resiliency and productivity. This Special Issue is sponsored by the International Union of Forest Research Organizations (IUFRO) Unit 4.04.04 - Sustainable Forest Management Scheduling.
Deadline for manuscript submissions: 30 November 2021
Guest editors: Ljusk Ola Eriksson, Swedish University of Agricultural Sciences; José G. Borges, University of Lisbon; Harald Vacik, University of Natural Resources and Life Sciences
Special issue of Forests: Call for Manuscript Submissions
Special Issue "Non-Wood Forest Products Management: Inventory, Planning, Governance, Marketing and Trade"
The International Union of Forest Research Organizations (IUFRO Units 4.04.04—Sustainable Forest Management Scheduling and 5.11-Non-Wood Forest Products, IUFRO Task Force on Unlocking the Bioeconomy and Non-Timber Forest Products) as well as the 19th Symposium on Systems Analysis in Forest Resources (SSAFR 2021) are sponsoring this Special Issue of Forests (http://www.mdpi.com/journal/forests).
We welcome the submission of manuscripts for publication in this Forests special issue (SI). There are a myriad of opportunities to unlock the full potential of NWFPs, such as creating new knowledge and tools to optimize the sustainable provision and profitability of NWFPs, fostering the development of market conditions for NWFPs, and developing economic and governance strategies for the better management of wild forest products—particularly in low-income countries. Thus, this SI aims at contributing to the dissemination of research endeavors involving the development of models, methods, processes, and decision support tools to address the inventory, planning, harvesting, governance, certification, marketing, and trade of NWFPs. This will be influential to strengthen the NWFP knowledge base and of research strategies to support the full encapsulation of NWFPs in the framework of the sustainable management of forest ecosystems. Papers submitted for publication in this Special Issue will undergo a rigorous peer review process with the aim of prompt and wide dissemination of research results and applications.
Deadline for manuscript submissions: 31 January 2022.
More information at: https://www.mdpi.com/journal/forests/special_issues/non-wood_forest_products
Special issue of Forests: Call for Manuscript Submissions
Spatial Decision Support for Forest Management and Policy Formulation
Dr. Keith M Reynolds, USDA Forest Service Research, Pacific Northwest Research Station, firstname.lastname@example.org
Dr. Paul F Hessburg, USDA Forest Service Research, Pacific Northwest Research Station, email@example.com
Prof. Jose Borges, University of Lisbon, Instituto Superior de Agronomia, firstname.lastname@example.org
Prof. Harald Vacik, University of Natural Resources and Life Sciences, Vienna, Institute of Silviculture, email@example.com
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
- 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.
Call for Manuscripts - Wildfire Management and Decision Support
The severity of forest fires has increased substantially worldwide. This severity is prone to increase as a consequence of global change, e.g. climate and socioeconomic change. This suggests the need for the development of a coherent wildfire risk management strategy. This poses a challenge to forest researchers and managers as this strategy calls for methods and tools to help integrate forest and fire management planning activities that are often carried out independently of each other.
This Research Topic aims to bring together multidisciplinary expertise on wildfire management and forest ecosystem management to report state-of-the-art research that may help address this challenge. In this context, the Research Topic will focus on decision methods and tools that may support a) the characterization of wildfire regimes, b) the understanding of extreme wildfire events, c) the assessment of impacts of wildfire risk on the provision of ecosystem services, d) the enhancement of wildfire prevention, wildfire suppression, and post-fire restoration processes and e) the effectiveness of wildfire risk management strategies.
Deadlines for submission:
- Abstracts: 29 January 2021
- Manuscripts: 31 May 2021
19th Symposium on Systems Analysis in Forest Resources (SSAFR 2021)
Estes Park, Colorado, USA; 8-11 August 2021
Since 1975, SSAFR has been the premier international forum for operations researchers, systems analysts and management scientists studying forestry, natural resources management and environmental problems. SSAFR is a true international community. We welcome speakers and attendants of diverse academic and cultural backgrounds.
SSAFR 2021 encourages scientists, managers and industry participants around the globe to submit papers that promote systems analysis, decision science and quantitative analysis in forestry and natural resources management. In addition, SSAFR 2021 also seeks for the innovative research and applications of data science and machine learning to address forest and natural resource management problems.