Download or read book Incorporating Spatial Constraints Into the Timber Harvest Scheduling Problem written by Anthony James O'Hara and published by . This book was released on 1987 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Incorporating spacial constraints into the timber harvest scheduling problem written by Anthony James O'Hara and published by . This book was released on 1987 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Using a Heuristic Programming Method for Incorporating Wildlife Habitat Constraints Into Spatial Harvest Scheduling on the Elliott State Forest written by Marie Lennette and published by . This book was released on 2003 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Elliott State Forest, located in the Coast Range of Oregon, is currently revising their Habitat Conservation Plan (HCP). Many of the constraints in the HCP are spatial, requiring identification of specific parcels in order to limit activity along habitat reserves, limit harvest opening size, and to coordinate activities within harvest units. To model the Elliott, the state forest planning team divided the 93,000 acres into 17 management basins, 576 forest strata, 1900 logging settings, and 57,700 parcels. There are 63 prescriptions per forest strata with 20 alternative final harvest ages. Due to the large number of integer variables necessary to represent the decision variables in the harvest scheduling model, a heuristic modeling technique, simulated annealing, was used to solve the 400,000 decision variable problem for a 30-period, 150-year planning horizon. The modeling framework presented here allows for the evaluation of forest management alternatives by spatially quantifying timber harvest, revenue stream, and habitat outputs through time while tracking both stand- and landscape-level attributes. It provides spatially explicit features and measurable trade-offs for a problem that could not otherwise be accurately modeled using traditional forest planning techniques. A feasible timber harvest schedule that meets all habitat constraints and policy mandates was produced, estimating an NPV of $260 million for the Elliott State Forest under the current HCP alternative. Statistical inference involving extreme value theory can be used to obtain an estimate of the global optimum to a heuristic solution. This method was evaluated for use in this planning problem and found to be unreliable as a means for model validation. The limitations of heuristic validation through extreme value theory are highlighted, and suggestions for future research in this area are made.

Download or read book An Examination of the Trade offs Between Timber Production and Pine Marten Carrying Capacity written by Joan Marie Nichols and published by . This book was released on 1994 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Canadian Journal of Forest Research written by and published by . This book was released on 1994 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Extending Harvest scheduling Using Spatial Optimization written by Kai L. Ross and published by . This book was released on 2016 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scheduling of management actions across forest stands is a fundamental task in the world of forestry. However, the spatial and temporal layout of management actions can lead to a combinatorial explosion of potential options to consider. Additionally, these management alternatives must often meet various constraints and limitations. The sheer quantity of options quickly pushes these problems out of the realm of "eyeballing" a good, or even feasible, solution. Because of this, managers have turned to optimization models to help determine the best harvest schedule that meets all requirements. Due to the computational complexity of these models, managers are forced to make simplifying assumptions, and to limit the scope of the models to only the most fundamental aspects. Now, with continued progress in both computational power and solution techniques, it is becoming both practical and feasible to extend these harvest scheduling models to consider broader aspects of the process. In this dissertation I consider two major extensions to harvest scheduling models: road access and edge effects. In chapter 1, I worked with the Washington State Department of Natural Resources to extend their harvest schedule modeling to consider the endogenous cost of rebuilding and maintaining the road network used to access a forest. I propose the Endogenous Fixed Charge Model (EFCM) to incorporate road costs that that vary endogenously with the system's harvest decisions. In a case study in the Pacific Northwest, the EFCM was integrated into DNR's standard workflows through the use of custom software called "Builder" that amended the EFCM constraints and variables to DNR's exiting harvest schedule optimization. Results from the case study show the EFCM was able to increase net present value over a million dollars and to reduce the overall road network by some 14%. In chapter 2, I explore how edge effects between managed forest units can be controlled and mitigated. Newly created edges caused my management actions to alter the landscape and can affect many environmental factors. These altered environmental factors have a variety of impacts on forest growth and structure and can alter harvest yields and habitat for wildlife. After discussing how edge effects can arise from a variety of management actions, I propose a general optimization modeling framework to detect and flag newly created edges while determining an optimal management schedule. I use the real world context of clear-cut harvesting to illustrate multiple possible management objectives tied to the creation and delineation of newly formed edges. In a case study in the Pacific Northwest, I demonstrate how the modeling framework can be used to mitigate damage associated with increased wind exposure caused my neighboring harvests. Results from the case study show the modeling framework functions as intended and that a significant reduction in wind damage can be achieved by considering the spatial and temporal sequencing of harvest actions. In chapter 3, I return to the road access problem to examine how an alternative representation of the road network affects the solution behavior of a joint harvest-scheduling and road-access model using route-finding. Route-finding removes the assumption of predefined routes and allows the optimization model to choose the best hauling route while considering all other harvests that need routing. The number of constraints and variables used for route-finding depend on the size and configuration of the road network. Therefore it is important to consider how alternative representations of the road network effect the solution behavior of these difficult-to-solve models. To test network representations, I propose a Mixed Integer Program (MIP) to include road-access using route-finding within a harvest-scheduling optimization. I apply this model to two different representations of the road network: the Traditional Spatial Representation (TSR) where roads are modeled as arcs connecting nodes, and the Line Graph Representation where roads are modeled as nodes, and arcs represent shared intersections. This transformation retains the same information as the original network, but can alter the number of nodes and arcs in the system. I illustrate the mechanics of the model in a case study in the Pacific Northwest and show that the LGR was able to outperform the TSR in many of the tested scenarios.

Download or read book Economic Analysis of Integrating Spatial Concerns Into Harvest Scheduling written by Atsushi Yoshimoto and published by . This book was released on 1990 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: An analytical algorithm to formulate a sparser set of adjacency constraints than the conventional algorithm is proposed. Utilizing matrix algebra applied to an adjacency matrix, constraints are systematically and efficiently derived by the proposed algorithm. The proposed algorithm is proved to provide a true set of adjacency constraints in the sense that no adjacent harvests can occur. A heuristic technique to solve a spatially constrained area-based harvest scheduling problem with even-flow constraints is proposed. The technique combines the modified random search technique, the modified binary search method, and the PATH algorithm. Partitioning the multiperiod scheduling problem, period by period using the PATH algorithm, the objective at each period is respecified by minimizing harvest flow fluctuation from the lower bound of the harvest flow level, and the feasibility of a solution at each period is expanded to both the current and the following periods. The modified random search technique is applied to generate a feasible solution at each period. The modified binary search method is used to obtain an optimal or appropriate even-flow level. By using the proposed heuristic technique, the cost evaluation of implementing various spatial restrictions on riparian zone planning is presented.

Download or read book General Technical Report NC written by and published by . This book was released on 1981 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Modeling Approach to Spatial Constraints in Forest Management written by Jose Guilherme Borges and published by . This book was released on 1994 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multi criteria decision models for forestry and natural resources management written by Joseph Edward De Steiguer and published by . This book was released on 2003 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foresters and natural resource managers must balance conflicting objectives when developing land-management plans. Conflicts may encompass economic, environmental, social, cultural, technical, and aesthetic objectives. Selecting the best combination of management uses from numerous objectives is difficult and challenging. Multi-Criteria Decision Models (MCDM) provide a systematic means for comparing tradeoffs and selecting alternatives that best satisfy the decisionmakergass objectives. In recent years, the use of MCDM in forestry and natural resources management has generated a substantial body of literature. This annotated bibliography includes 124 important references ranging from theoretical studies to real-world applications of MCDM.

Download or read book Seventh Symposium on Systems Analysis in Forest Resources Traverse City Michigan USA May 28 31 1997 written by and published by . This book was released on 2000 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Timber Harvest Scheduling and Spatial Allocation written by Sandra Mattson Tomlin and published by . This book was released on 1981 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Seventh Symposium on Systems Analysis in Forest Resources written by and published by . This book was released on 2000 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Comparison of Methods for Scheduling Timber Harvests and Road Construction Subject to Spatial Constraints written by Steven L. Hood and published by . This book was released on 1991 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book General Technical Report PNW GTR written by and published by . This book was released on 2005 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multiple Use of Forests and Other Natural Resources written by F. Helles and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1996 a major six-year research programme, 'Economic Optimisation of Multiple-Use Forestry and Other Natural Resources' was implemented at Department of Economics and Natural Resources, The Royal Veterinary and Agricultural University (KVL), Copenhagen. The research is funded by KVL; The Danish Agricultural and Veterinary Research Council; The Danish Research Academy; The Danish Forest and Landscape Institute; The Danish Forest and Nature Agency; and The Danish Environmental Protection Agency. The overall objective of the research programme is to enhance the economic theory of sustainable multiple-use forestry and landscape management planning. Emphasis is on decision-making ! management planning from an economic point of view, the basic criterion being rationality as implemented by application of Operations Research methods with regard to sustainable and multiple use of forests and other natural resources in the landscape. The research programme benefits from collaboration agreements with University of California at Berkeley, Department of Agricultural and Resource Economics, and Oregon State University, Department of Forest Resources. As part of the research programme, a second international conference and workshop was held 6 - 12 August, 1998 at KVL, with the title: '2nd Berkeley-KVL Conference on Natural Resource Management -Design and Implementation of Multiple-Use Management'. This event was financed by The Danish Research Academy. Some of the papers presented were selected for peer-reviewing and subsequent publishing. The outcome is the present book in which no paper has been previously published.

Download or read book Intelligence Systems in Environmental Management Theory and Applications written by Cengiz Kahraman and published by Springer. This book was released on 2016-09-03 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.