Relevant bibliographies by topics / Decision making. Forest management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision making. Forest management'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Decision making. Forest management"

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Beckley, Thomas M. "Moving toward consensus-based forest management: A comparison of industrial, co-managed, community and small private forests in Canada." Forestry Chronicle 74, no. 5 (1998): 736–44. http://dx.doi.org/10.5558/tfc74736-5.

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Research on forest management in North America has traditionally focussed on large, industrial forest tenures (involving both public and private land), or small, private woodlot management. Recent discussion and experiments in Canada involve new institutions for forest management. These alternative forest management systems — namely, co-managed forests and community forests — are compared to traditional forest management along several dimensions, including: locus of decision-making, nature of decision-making, scope of decision-making, tenure structure, scale, and knowledge base. There exists a gap between abstract discussions and practical applications of these models. Prospects for the continued development of these alternative management systems are evaluated. Key words: co-management, community forestry, decision making, forest tenure, forest management objectives
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Pivoriūnas, Aidas, and Sigitas Girdziušas. "Changes in decision making and cooperation among forest owners: the Lithuanian case." Journal of Forest Science 65, No. 11 (2019): 450–59. http://dx.doi.org/10.17221/106/2019-jfs.

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Understanding of the basic determinants of cooperation among private forest owners is of crucial importance to forest owners, private forest owners’ cooperatives and other key players in the forest sector. This topic concerns complementary empirical and theoretical studies from the fields of economics and social studies. A recent study shows that private forest owners differ in their attitudes towards forest management and processes of cooperation in terms of the time perspective and, correspondingly, make different decisions in various situations related to forest management. Based on the data from two surveys, this paper shows how private forest owners’ views of forest management in Lithuania have developed over the last thirteen years and finds some basic socio-economic aspects that drive cooperation among private forest owners for joint forest management.<br /><br />
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Etemad, Seyedeh Soma, Soleiman Mohammadi Limaei, Leif Olsson, and Rasoul Yousefpour. "Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran)." Journal of Forest Science 65, No. 9 (2019): 368–79. http://dx.doi.org/10.17221/46/2019-jfs.

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The aim of this study is to determine the optimum stock level in the forest. In this research, a goal programming method was used to estimate the optimal stock level of different tree species considering environmental, economic and social issues. We consider multiple objectives in the process of decision-making to maximize carbon sequestration, net present value and labour. We used regression analysis to make a forest growth model and allometric functions for the quantification of carbon budget. Expected mean price is estimated using wood price and variable harvesting costs to determine the net present value of forest harvesting. The fuzzy analytic hierarchy process is applied to determine the weights of goals using questionnaires filled in by experts in order to generate the optimal stock level. According to the results of integrated goal programming approach and fuzzy analytic hierarchy processes, optimal volume for each species was calculated. The findings indicate that environmental, economic and social outcomes can be achieved in a multi-objective forestry program for the future forest management plans.
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Grover, Gitte, and Willi Fast. "Alberta making strides in mixedwood management." Forestry Chronicle 83, no. 5 (2007): 714–18. http://dx.doi.org/10.5558/tfc83714-5.

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Driven by issues of economics, productivity, biodiversity and climate change, mixedwood management is becoming increasingly attractive. For silviculture to embrace and capitalize on natural stand dynamics, complex processes and interactions must be understood. To facilitate focused, applied research, ten Alberta forest companies have joined forces to cooperatively advance the science and management of boreal aspen/white spruce mixedwood forests. Members of the Mixedwood Management Association have committed collective research funds to develop and test practices that will sustain fibre supply, biodiversity, social and ecological values in Alberta's mixedwood forests. Forest industry members include Ainsworth Engineered Canada LP., Alberta-Pacific Forest Industries Inc., Canadian Forest Products Ltd., Daishowa-Marubeni International Ltd., Footner Forest Products Ltd., Millar Western Forest Products Ltd., Tolko Industries Ltd., Slave Lake Pulp/Alberta Plywood Ltd., Vanderwell Contractors (1971) Ltd. and Weyerhaeuser Company Ltd. The Alberta government and the University of Alberta are supporting partners in the Association. The Association's goals are to increase knowledge of aspen/white spruce mixed forests in the areas of growth and yield, crop planning, monitoring, understory protection and decision support tools. This paper highlights some of the Association-sponsored research projects. Key words: Alberta, Mixedwood Management Association, research, growth and yield, crop plans
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Ohlson, Dan W., Greg A. McKinnon, and Kelvin G. Hirsch. "A structured decision-making approach to climate change adaptation in the forest sector." Forestry Chronicle 81, no. 1 (2005): 97–103. http://dx.doi.org/10.5558/tfc81097-1.

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Climate change presents a risk to the composition, health, and vitality of Canada's forests and forest sector. Effects may be either negative or positive, and will interact in complex ways over many spatial and temporal scales depending on such factors as physical geography, forest type, and forest management practices. Given the apparent vulnerability of forests and the forest sector to climate change, it is prudent that forest and forest-based community managers begin to develop adaptive strategies to minimize the risks and maximize the benefits of climate change. A flexible planning framework that incorporates key principles of structured decision-making and risk management is presented as a practical way to integrate climate change adaptation into forest management planning. Key words: climate change, forest, impacts, adaptation, vulnerability, risk management, planning
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Dimić, Srđan, and Srđan Ljubojević. "Decision making model in forest road network management." Vojnotehnicki glasnik 67, no. 1 (2019): 93–115. http://dx.doi.org/10.5937/vojtehg67-18446.

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Crosby, Paul B., and James P. Barrett. "A Decision-Making Case Study for Community Forest Management." Northern Journal of Applied Forestry 5, no. 4 (1988): 254–58. http://dx.doi.org/10.1093/njaf/5.4.254.

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Abstract Community forest managers would benefit from a decision-making procedure that would help them weigh management alternatives and select one that best contributes to their goals. A matrix technique that uses a system of rating and weighing alternative impacts was applied to the decision-making process on the Rye Town Forest in Rye, NH. Using the results of a comprehensive multiple-use inventory of the forest and a survey of residents' preferences for uses of the forest, the matrix procedure aided in selecting a preferred management strategy. It encourages a systematic and objective comparison of preselected management alternatives and allows decision-makers to efficiently analyze and compare new alternatives. North. J. Appl. For. 5:254-258, December 1988.
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Bulger, Dan, and Harold Hunt. "The forest management decision support system project." Forestry Chronicle 67, no. 6 (1991): 622–28. http://dx.doi.org/10.5558/tfc67622-6.

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The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating forest management decision support systems. This set of tools will be used to implement a prototype forest management decision support system for the Plonski forest, near Kirkland Lake, Ontario.There are three critical ingredients in building the FMDSS, these are: (1) knowledge of the decision making process, (2) knowledge of the forest, and (3) the functionality of underlying support technology. The growing maturity of the underlying technology provides a tremendous opportunity to develop decision support tools. However, a significant obstacle to building FMDSS has been the diffuse nature of knowledge about forest management decision making processes, and about the forest ecosystem itself. Often this knowledge is spread widely among foresters, technicians, policy makers, and scientists, or is in a form that is not easily amenable to the decision support process. This has created a heavy burden on the project team to gather and collate the knowledge so that it could be incorporated into the function and design of the system. It will be difficult to gauge the success of this exercise until users obtain the software and begin to experiment with its use.
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Kijazi, Martin Herbert. "Possibility schema for interdisciplinary forest management evaluation and decision-making." Forestry Chronicle 81, no. 3 (2005): 375–80. http://dx.doi.org/10.5558/tfc81375-3.

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Interdisciplinary planning and evaluation of forest management is necessary for sustainable forest management (SFM) schemes involving multiple values of multi-stakeholders. Often, multi-objective forest-planning and evaluation encounter complexity and uncertainty due to "inexactness"— i.e., fuzziness, ambiguity, imprecision and variability — of spatial behaviours of ecological and human systems. This paper develops the possibility schema — from fuzzy sets and theory of possibility — for representation and evaluation of inexact spatial concepts, configurations, and processes, associated with forest ecosystem and stakeholder values. A hypothetical case of interdisciplinary research utilizing criteria and indicators of SFM is used to illustrate the utility of the proposed possibility schema in interdisciplinary forest decision-making. The schema can be used for ex-ante appraisal and ex-post evaluation of forest programs. It can also be used for integration of interdisciplinary forest knowledge, including ecological and socio-economic models of SFM. Key words: decision-making, fuzzy sets, inexactness, interdisciplinary evaluation, multiple values, possibility theory, sustainable forest management, uncertainty
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Ortiz-Urbina, González-Pachón, and Diaz-Balteiro. "Decision-Making in Forestry: A Review of the Hybridisation of Multiple Criteria and Group Decision-Making Methods." Forests 10, no. 5 (2019): 375. http://dx.doi.org/10.3390/f10050375.

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The degree of complexity in forest management has increased in the last few decades, not only due to the inclusion of specific new issues (e.g., climate change, social protection, etc.), but also because these new, as well as classic, issues have to be dealt with in a context characterised by multiple conflicting criteria that are evaluated by different stakeholders. Nowadays, the multicriteria issue enjoys a relatively sound tradition in forest management. However, the consideration of several stakeholders, which requires the formulation of management models within a collective decision-making setting, is not that advanced. This paper aims to provide a critical overview of forestry case studies that have been published in primary journals and that deal with multiple criteria and several stakeholders. Based on this overview, some highlights of the most promising methods were obtained, and recommendations for the fruitful use of these combined methodologies for dealing with numerous types of forest management problems are provided.
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Dissertations / Theses on the topic "Decision making. Forest management"

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Krogstad, Finn. "Evaluating the validity of research implications /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/5551.

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Lu, Fadian. "Optimization of forest management decision making under conditions of risk /." Umeå : Dept. of Forest Economics, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/s333.pdf.

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Radke, Naomi [Verfasser], Marc [Akademischer Betreuer] Hanewinkel, and Klaus [Akademischer Betreuer] Keller. "Robust decision making for forest management under climate change and uncertainty." Freiburg : Universität, 2020. http://d-nb.info/1226656943/34.

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Pittman, Samuel. "Multilevel planning in forestry /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5505.

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Marto, Marco Henrique Vieira. "Innovating forest ecosystems with advanced multi-criteria decision-making methods." Doctoral thesis, ISA, 2020. http://hdl.handle.net/10400.5/21204.

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Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia. Universidade de Lisboa<br>This work focuses on innovating forest ecosystem management planning and on enhancing its contribution to the provision of ecosystem services. A web-based forest decision support system was developed to support public and private forest managers, involving operational research methods. First, all work related to database management and the integration of data was carried out. Databases were created with PostgreSQL, which on the one hand facilitated the development of multi-criteria linear programs, and on the other met all the data and information needs of a forest decision support system, not only for data processing and information presentation, but also as a source to be consulted and analyzed by forest decision makers. The wSADfLOR, a forest web-based decision support system, integrates one analytic tool to visualize interactive decision maps showing the decision space and trade-offs among the criteria in Pareto frontiers, according to forest users’ management options. Taking advantage of constant improvements in the Interactive Decision Maps tool in wSADfLOR, a second article was developed regarding a web-based approach to show interactive decision maps with Pareto frontiers. Based on these interactive decision maps and jointly with some decision support systems available in the EMDS platform (Criterion DecisionPlus and NetWeaver), a hybrid decision methodology for cases in which there is no consensus among the solutions chosen by different (groups of) forest decision makers was developed, enabling them to choose a unique strategic decision plan<br>N/A
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Colavito, Melanie Meyers. "The Role of Science in Collaborative Forest Management." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/593634.

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Forest health in the United States has been suffering due to threats such as climate change, wildfire, and human development. As a result, efforts are being undertaken to restore natural processes, improve health, and foster resilience in forested systems. Such efforts involve diverse stakeholders, land management agencies, scientists, and the public, who work together collaboratively to find common goals and agreeable solutions. Central to collaborative forest management is an emphasis on using science to inform decision-making. Yet there are many challenges to applying science in decision-making and developing actionable scientific information for management. Many of the efforts to better align science and decision-making have focused on climate research, and additional empirical evidence is needed to provide context-specific recommendations for connecting science and decision-making in different areas of natural resource management. To that end, this dissertation provides an assessment of the role of science in collaborative forest management. The central question that unifies this work is: how is science applied in decision-making for collaborative forest management, and in what ways can the use of science for decision-making in this context be improved? The first two appendices address this within the context of the Collaborative Forest Landscape Restoration Program (CFLRP): Appendix A examines the role of science in the CFLRP; and Appendix B assesses how science informs decision-making in the CFLRP. Appendix C addresses the application, development, and communication of scientific information to support resilient forest management. This dissertation illustrates the importance of common goals, in-person interactions, and sustained communication between scientists and decision-makers in order to integrate science into the forest management process.
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Duvemo, Karl. "The influence of data uncertainty on planning and decision processes in forest management /." Umeå : Dept. of Forest Resource Management, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200906.pdf.

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Ogden, Aynslie Erna Elizabeth. "Climate change adaptation and sustainable forest management in the boreal forest." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/692.

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Climate change will pose increasing challenges to forest managers working to achieve sustainable forest management in the boreal forest. A logical starting point for climate change adaptation is to proactively identify management practices and policies that have a higher likelihood of achieving management objectives across a wide range of potential climate futures. This research implemented an approach to identifying such measures by tapping into the experiential knowledge base of local forest practitioners. The assessment was organized according to a structured decision-making (SDM) approach. Northern forest practitioners consider the goals of climate change adaptation to be synonymous with those of sustainable forest management indicating that the criteria for the conservation and sustainable management of boreal forests as defined by the Montréal Process are suitable objectives against which the performance of alternative adaptation options can be assessed. The case study area for this research was the Champagne and Aishihik Traditional Territory of southwest Yukon where a climatically-driven, large-scale spruce bark beetle disturbance has been driving forest management planning yet climate change considerations have not been directly addressed in the planning process. Twenty-four adaptation options were identified as being important to implement in forest development areas to achieve regional goals and objectives of forest management across three scenarios of climate change. In addition, the performance of alternative strategies to re-establish forests was assessed. Results indicate that the applicability of alternative forest renewal adaptation strategies is strongly related to the objectives of forest management which differed across the forest management planning area. However, since none of the strategies were judged to perform highly across any of the scenarios of climate change, additional work is needed to explore whether a threshold of acceptability can be met even with the adoption of adjustments to forest management policies and practices. If not, management objectives themselves may need to be revised. An extensive list of research and monitoring needs were also identified, an indication that climate change is providing the imperative for a more comprehensive research and monitoring program to support the sustainable management of forest resources in this region. The next steps in a SDM approach are to implement adaptation options and strategies deemed appropriate and to monitor their performance in achieving management objectives within an adaptive management context.
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Mohammadi, Limaei Soleiman. "Economically optimal values and decisions in Iranian forest management /." Umeå : Dept. of Forest Economics, Swedish University of Agricultural Sciences, 2006. http://epsilon.slu.se/200691.pdf.

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Nordberg, Mats. "State forest management reforms in three ex-Soviet republics : reforms, reasons and differences /." Uppsala : Dept. of forest products, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/200767.pdf.

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Books on the topic "Decision making. Forest management"

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Williams, M. R. W. Decision-making in forest management. 2nd ed. Research Studies Press, 1988.

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Buongiorno, Joseph. Decision methods for forest resource management. Academic Press, 2003.

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Keith, Gilless J., ed. Decision methods for forest resource managers. Academic Press, 2003.

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Baird, Andrew W. Harvesting decisions of nonindustrial private forest owners in Mississippi. Dept. of Sociology and Anthropology in Cooperation with Southern Forest Experiment Station, U.S. Forest Service, 1986.

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MacGregor, Donald G. Integrated research to improve fire management decisionmaking. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2005.

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MacGregor, Donald G. Integrated research to improve fire management decisionmaking. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2005.

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Reed, W. J. Harvest scheduling in the presence of the risk of fire - further results. Forest Economics and Policy Analysis Research Unit, 1989.

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Rennie, John Charles. Quantitative tools for forest management in Tennessee and adjacent states: A bibliography with abstracts. University of Tennessee, Agricultural Experiment Station, 1993.

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Moseley, Kurtis R. A multi-criteria decisionmaking approach for management indicator species selection on the Monongahela National Forest, West Virginia. U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2010.

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The theory and application of a systems approach to silvicultural decision-making. Forest Research Centre, Forestry Dept., 1997.

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Book chapters on the topic "Decision making. Forest management"

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Kangas, Annika, Mikko Kurttila, Teppo Hujala, Kyle Eyvindson, and Jyrki Kangas. "Uncertainty in Multi-criteria Decision-Making." In Decision Support for Forest Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23522-6_5.

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Kangas, Annika, Mikko Kurttila, Teppo Hujala, Kyle Eyvindson, and Jyrki Kangas. "Group Decision-Making and Participatory Planning." In Decision Support for Forest Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23522-6_9.

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Stirn, Lidija Zadnik. "Multiobjective Decision Making in Forest Management." In Operations Research ’92. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_14.

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Tecle, Aregai, and Lucien Duckstein. "A Procedure for Selecting MCDM Techniques for Forest Resources Management." In Multiple Criteria Decision Making. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_2.

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Dieter, Matthias, Martin Moog, and Herbert Borchert. "Considering Serious Hazards in Forest Management Decision-Making." In Risk Analysis in Forest Management. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-2905-5_8.

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Richards, Michael, Jonathan Davies, and Gil Yaron. "Economic comparison of the decision-making alternatives." In Stakeholder Incentives in Participatory Forest Management. Practical Action Publishing, 2003. http://dx.doi.org/10.3362/9781780441405.006.

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White, Michael D., and James R. Strittholt. "Forest Conservation Planning." In Making Transparent Environmental Management Decisions. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-32000-2_9.

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Kyem, Peter A. Kwaku. "Using GIS to Support Multi-Objective Decision Making in Forest Management." In Managing Forest Ecosystems. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9906-1_5.

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Emborg, Jens, Gregg Walker, and Steven Daniels. "Forest Landscape Restoration Decision-Making and Conflict Management: Applying Discourse-Based Approaches." In Forest Landscape Restoration. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5326-6_7.

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Kozlova, Anna, Sergey Stankevich, Mykhailo Svideniuk, and Artem Andreiev. "Quantitative Assessment of Forest Disturbance with C-Band SAR Data for Decision Making Support in Forest Management." In Lecture Notes in Computational Intelligence and Decision Making. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82014-5_37.

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Conference papers on the topic "Decision making. Forest management"

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McRoberts, R. E., P. D. Miles, R. J. Barbour, K. M. Gebert, and G. C. Liknes. "Using forest inventory data and geographic information systems to support forest management decision-making." In Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dexa.2004.1333536.

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Etemad, S., S. Mohammadi Limaei, L. Olsson, and R. Yousefpour. "Decision Making on Sustainable Forest Harvest Production Using Goal Programming Approach (Case Study: Iranian Hyrcanian Forest)." In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607503.

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Alves, Bruno C., Larissa A. de Freitas, and Marilton S. de Aguiar. "Chatbot as support to decision-making in the context of natural resource management." In Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wcama.2021.15734.

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The management of natural resources is becoming increasingly relevant due to its direct implication in society's life. Thus, individuals must make decisions based on environmental and social aspects. This work uses a chatbot to support users' decisions through an RPG scenario based on the participatory management of resources in the Lagoa Mirim Watershed and Canal São Gonçalo Basin. In this context, in addition to the chatbot, this study presents a pollution predictor to support decision-making, with a determination coefficient of 0.99, constructed using random forest. Also, we present five Word Embeddings models to expand the natural language understanding, based on a corpus of about 700 thousand sentences, capable of identifying relations between words.
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Lu-rong, Ran, and Zhou Feng. "Forest land contracted management of circulation in the different types peasant household decision — Making behavior analysis." In 2011 International Conference on Management Science and Engineering (ICMSE). IEEE, 2011. http://dx.doi.org/10.1109/icmse.2011.6070134.

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KAVALIAUSKAS, Marius, Edgaras LINKEVIČIUS, Donatas JONIKAVIČIUS, and Kornelija KOKANKAITĖ. "PUBLIC OPINION ANALYSIS ON STATE FOREST MANAGEMENT: STUDY AREA IN KAIŠIADORYS MUNICIPALITY." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.043.

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The relation between public and forest changes during the time. Public opinion and interests has considerable influence on decision making regarding forestry. Half of Lithuania’s forests (circa 1.1 mill. ha) has state forest status and are managed by state forest enterprises (SFEs) under confidence rights. One of the most important strategic aims for SFEs is to meet public needs. Yet, public opinion and forestry facts mismatches. Therefore, this study aims to analyse prevailing opinion on forestry practices in state forests managed by Kaišiadorių SFE that are located in Kaišiadoriai municipality. The sociological survey methodology was applied that was conducted involving respondents representing inhabitants over 18th years old. Data was analysed by conducting frequency analysis. Results showed incorrect public opinion concerning with increase of forest coverage, sustainable cutting intensity and increasing environmental consideration. According to opinion of the respondents, the quality of the forests, afforestation and forest sanitary was well improved by Kaišiadorių SFE. It was determined the demand to develop more recreation infrastructure objects in Kaišiadorys municipality forests. The comparison between surveys conducted in 2007 and 2014 showed increasing amount of public that was quite well informed on forestry issues. Also, it determined changes in information sources concerning forestry. Results of the research stressed the necessity of the long-term strategy for the information dissemination.
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Tiškutė-Memgaudienė, Daiva, Gintautas Mozgeris, and Algis Gaižutis. "Open geo-spatial data for sustainable forest management: Lithuanian case." In Research for Rural Development 2020. Latvia University of Life Sciences and Technologies, 2020. http://dx.doi.org/10.22616/rrd.26.2020.005.

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In Lithuania, forests are managed by Lithuanian State Forest Enterprise, municipalities, ministries, etc. and private forest owners. About 50% of all forest land is State importance, privately owned forests cover 40% of forest land, and about 10% of forest land belongs to forests reserved for restitution. Forest management of private ownership force many challenges, because private forest owners are people, who have purchased or received the property after restitution, and often lacks knowledge about forest resources, its dynamics and sustainable forest management. As remote sensing is a valuable source for forest monitoring, because it provides periodic data on forest resource and condition status, these methods are gaining increased attention worldwide. In this context, more scientific efforts are made at developing remote sensing derived geo-spatial data services for sustainable forest management through a web service platform, which would integrate geo-information into daily decision making processes and operation for private forest owners. This article presents a review of privately owned forests’ statistics, questionnaire-based survey about GIS usage and demand for forest owners in Lithuania and links available sources of open geo-spatial data useful for sustainable forest management.
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Chatterji, Gano, Brett Gyarfas, and Larry Meyn. "Convective Weather Forecast Quality Metrics for Air Traffic Management Decision-Making." In 6th AIAA Aviation Technology, Integration and Operations Conference (ATIO). American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7778.

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Gaspars-Wieloch, Helena. "On Securities Portfolio Optimization, Preferences, Payoff Matrix Estimation and Uncertain Mixed Decision Making." In Contemporary Issues in Business, Management and Education. VGTU Technika, 2015. http://dx.doi.org/10.3846/cibme.2015.04.

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Securities portfolio optimization has been analysed so far on the assumption that the estimation of the probability distribution concerning future rates of return is possible thanks to historical data. However, sometimes it is desirable to forecast profits by considering factors which are not included in past and present results. The purpose of the paper is to investigate the stocks portfolio optimization in the context of decision making under complete uncertainty, i.e. uncertainty with unknown probabilities, which allows the investor to refer to scenario planning. In the contribution, we propose the use of a decision rule for portfolio optimization under complete uncertainty. The procedure takes into account the decision maker’s nature and enables one to select the optimal mixed strategy, which is characteristic of portfolio optimization where variables denoting the share of particular securities are continuous (not binary). The decision process is discussed for two types of decision makers: an active one (who estimates the profit matrix on his own) and a passive one (who uses a profit matrix generated by experts). Additionally, we analyse the impact of the profit matrix estimation (subjectively or objectively) on the decision making process.
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Wareing, Mark. "UK Nuclear Decommissioning Authority: Value Framework, Its Development and Role in Decision Making." In ASME 2009 12th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2009. http://dx.doi.org/10.1115/icem2009-16399.

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As part of its day to day business NDA must be able to demonstrate that it is delivering value for money across its entire estate, as this is essential to securing funding from government and demonstrating to stakeholders that NDA is delivering on its mission. Value comes in many forms such as an improved environment, hazard reduction, changes in sky line, social amenities, money, employment etc. Depending on the perspective of the receiver, and their closeness to the effected area, the relative weighting they place on the different aspects of value will vary. Therefore the challenge to NDA has been how to get a consistent approach to measuring value that is broadly acceptable to stakeholders and allows the different aspects of value to be compared and decisions made on a national basis. This paper describes the work undertaken by NDA to develop a Value Framework to support decision making at both the strategic and tactical level and addresses the following topics: • The relationship between the value framework and UK government guidance on business case development and options appraisal; • The development of the value framework tool kit including previous work on the NDA prioritisation process and the derivation of Safety and Environmental Detriment scores; • How NDA uses the value framework in its decision making processes.
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Potocan, Vojko. "How to Provide for an Appropriate Dealing with Business Decision-Making from the Viewpoint of Informing." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2378.

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Economics of business decision-making (BDM) is target-oriented into management of the economic flow of business activities. Has a major impact on the level of quality of enterprise's operation. Business decision-making (BDM) is based on information, which shows the characteristics of the decisions and provides an additional and necessary knowledge. The main field of the management of the BDM is presented by the economic treatment of decisions, which are based on various information. The picture of the BDM is illustrated by various sorts, types and forms of information that are primarily created by the target- oriented information systems. These ensure a corresponding structured quality information for BDM at the selected levels of management. Due to the tradition, the usual business information hardly meets criteria of contemporary holism.
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Reports on the topic "Decision making. Forest management"

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Allen, Stewart D., Denise A. Wickwar, Fred P. Clark, Robert R. Dow, Robert Potts, and Stephanie A. Snyder. Values, beliefs, and attitudes technical guide for Forest Service land and resource management, planning, and decision-making. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2009. http://dx.doi.org/10.2737/pnw-gtr-788.

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Johannesen, Odma, and Hans Lassen. Decision-making management procedures. Nordic Council of Ministers, 2014. http://dx.doi.org/10.6027/tn2014-532.

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Breznitz, Shlomo, Hasida Ben-Zur, and Naomi Wardi. Enhancing Effective Decision Making by Information Management Techniques. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada340602.

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Scott, Harry D., and Jr. Time Management and the Military Decision Making Process. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada262657.

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Barber, D. S., D. L. Brockman, and L. D. Buxton. Integrated Services Management System (ISMS): A management and decision making tool. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/120884.

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Hammonds, J. S., F. O. Hoffman, R. K. White, and D. B. Miller. Background risk information to assist in risk management decision making. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7007844.

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Kondratenko, Victoria. On creation of the universal mathematical management decision making theory. PІDVODNІ TEHNOLOGІЇ, 2019. http://dx.doi.org/10.31493/uwt1909.1201.

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Kappes, Sandra F., Simon S. Kim, Patrick J. Tanner, Roddy J. Williams, and Louis F. Cohn. Employing Expert System Technologies to Real Property Management Decision making. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226176.

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Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003042.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.
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Collier, Zachary, Thomas Polmateer, and James Lambert. Risk Management Decision Making for Security and Trust in Hardware Supply Chains. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317287.

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