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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Diameter Distribution Models in Forestry ORM580 FALL 3+0 E 6
    Learning Outcomes
    1-Teach the concepts of the diameter distribution
    2-Teach the modeling of the distributions of trees in diameter classes.
    3-Teach the probability density functions.
    4-Teach the development process of diameter distributions
    5-Teach the obtaining of detailed predictions of stand with diameter distribution models
  • ECTS / WORKLOAD
    • ActivityPercentage

    (100)

    		NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14570
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)0000
    Project5014040
    Laboratory 0000
    Final exam (exam + preparation) 5013030
    0000
    Total Workload (hours)   182
    Total Workload (hours) / 30 (s)     6,07 ---- (6)
    ECTS Credit   6
  • Course Content
    • Week Topics Study Metarials
    1 The concepts of diameter distribution and the analyzing of stand structure. R1. Chapter 1 R2. Chapter 1
    2 The concepts of diameter distribution modeling and historical process of these models R2. Chapter 1 R4. Chapter 2
    3 The probability density functions for modeling diameter distributions R2. Chapter 2 R3. Chapter 2
    4 Weibull function with three parameters and Johson SB function with four parameters R3. Chapter 4 R4. Chapter 3
    5 The statistical criterions for comparing different probability density functions R3. Chapter 4 R5. Chapter 2
    6 The predicting of future diameter distributions R1. Chapter 3 R2. Chapter 3 R4. Chapter 4
    7 The predicting methods based on diameter moments R2. Chapter 4 R4. Chapter 4
    8 The predicting methods based on diameter percentiles R3. Chapter 3 R4. Chapter 5
    9 The integrating possibilities of diameter distributions with yield tables R3. Chapter 3 R5. Chapter 4
    10 The integrating possibilities of diameter distributions with forest management planning R2. Chapter 2 R4. Chapter 4
    11 The modeling diameter distribution with statistical package programs and the writing source codes of its-I R4. Chapter 4 R5. Chapter 5
    12 The modeling diameter distribution with statistical package programs and the writing source codes of its-II R4. Chapter 4 R5. Chapter 5
    13 The sample applications of diameter distributions by using the actual data-I R2. Chapter 5 R3. Chapter 5 R4. Chapter 5
    14 The sample applications of diameter distributions by using the actual data-II R2. Chapter 5 R3. Chapter 5 R4. Chapter 5
    Prerequisites -
    Language of Instruction Turkish
    Responsible Prof. Dr. İlker ERCANLI
    Instructors

    1-)Profesör Dr. İlker Ercanlı
    Assistants Rsch. Asst. Dr. Ferhat BOLAT
    Resources 1. Palahi, M., Pukkala, T. Trasobares, A. 2007. Modelling the diameter distribution of Pinus sylvesris, Pinus nigra and Pinus halepensis forest stands in catalonia using the truncated weibull function, Forestry, 79, 5, 553-562. 2. Podlaski R., 2006. Suitability of The selected statistical distributions for fitting diameter data in distinguished development stages and phases of near-natural mixed forests in the ?wi?tokrzyski national park (Poland), Forest Ecololgy and Management, 236, 393?402 3. Yavuz, H., Gul, A. U., Mısır. N., Ozcelik, R Sakıcı, O. E, 2002. Meşcerelerde çap dağılımlarının düzenlenmesi ve bu dağılımlara ilişkin parametreler ile çeşitli meşcere öğeleri arasındaki ilişkilerin belirlenmesi, Orman Amenajman?ında Yeni Kavramsal Açılımlar ve Yeni Hedefler Sempozyumu 18-19 Nisan, İstanbul Üniversitesi, Orman Fakültesi, İstanbul, 203-212. 4. Zhang, L. Liu, C., 2006. Fitting irregular diameter distributions of forest stands by weibull, modified weibull and mixture weibull models, Journal Forest Research, 11, 369?372. 5. Bailey, R.L., Dell, T.R., 1973. Quantifying diameter distributions with the Weibull function, Forest Science, 19, 97?104.
    Supplementary Book -
    Goals To teach Diameter Distribution Models that is important to provide the comprehensive predictions for the number of trees, basal area and volume at level of diameter class in forestry
    Content To develop diameter distirbution models that can be recognized as significant model type in Forestry
  • Program Learning Outcomes
    • Program Learning Outcomes Level of Contribution
    1 Must learn the methods of both improving the basic sciences and engineering knowledge and obtaining new knowledges at a level of expertise 4
    2 Must be able to design, develop, and apply methods and experiments at advanced level to solve forestry problems, and analyses and interpret their results 5
    3 Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions 5
    4 Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems 4
    5 Must be able to act in an advanced level of professional ethics and responsibility during the identification and resolution of problems encountered in forestry 4
    6 Must be able to do the task in a single or multi-disciplinary working groups, and be able to show effective communication 4
    7 Must have the ability to effective use of both information technologies and a foreign language at an advanced level 5
    8 Must be able to describe, foresee and solve the current problems in the fields of forestry and other related problems at advanced level brought by current global developments 5
    9 Must be able to use the tools and techniques required for forestry applications at an advanced level 5
    10 Must be able to think, interpret, analyse and synthesize forestry practices at an advanced level by using a three dimensional perspective -
    11 Must be able to research and survey any kinds of natural resources and event, and write advanced reliable reports by using the achieved findings -
    12 Must be able to understand the necessity of life-long learning at an advanced level, and to be able to use the methods that keeps obtained knowledge up date -
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