Ph.D. Tezi Görüntüleme

Student: Ali İhsan KADIOĞULLARI
Supervisor: Prof. Dr. Emin Zeki BAŞKENT
Department: Orman Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Title of the Thesis: Contoroling Spatial Forest Structure With Meta-heuristics Techniques in Forest Management Planning: Spatial Planning
Level: Ph.D.
Acceptance Date: 5/10/2009
Number of Pages: 174
Registration Number: Di732
Summary:

      Spatial Decision Support System (SDSS) is indispensable to develop spatial planning alternative by integrating spatial parameters into forest management plans using ecosystem based multiple use forest management planning concept (EBMUFM). As part of this study, a SDSS was developed based on EBMUFM philosophy. The system has the capability to control the spatial strucutre of forests based on the spatial database generated by Geographical Information Systems (GIS) and spatial paramaters with other attribute data (such as empirical yield table, product assortment table, water production table). The SDSS was developed with object-oriented design and programming (Delphi) language, and has the flexibility to accomodate changes in model strucure. A simulation and a meta-heuristics based spatial forest management models were developed to link strategical planning with tactical planning on a sub-compartment (stand) bases and to present results with a number of performance indicators as outputs in map, graphic and table formats. SDSS has important component to determine all spatial characteristics with spatial parameters and patch description. A prototip stand simulation model based on the relationship bwtweeen actual and optimal basal area development (BARSM) was also developed to project the future stand characteristics and analyse the affects of various silvicultural treatments.

A number of spatial forest managemet strategies were developed to generate spatially implementable harvest schedules and perform spatial analyses as part of integrated planning. The SDSS improved the forest management concept using spatial simulation and simulated annealing techniques and helped analyze ecosystem structure using spatial characteristics for an implementable forest management plan. The model was tested both on hipotetic and Uğurlu planning units using simulation and heurisctics techniques. The results indicated that the spatial models were able to satisfy spatial restrictions with minimum penalty value of various management objectives. The SDSS could be used in the implementation of contemporary forest management planning process, scientific studies and forestry education.

      

Key Words: Forest Management, heuristics techniques, Geographical Information Systems, Spatial Simulation, Ecosystem Based Multiple Use Forest Management, Simulated Annealing