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| ORM5140 | Growth and Yield Models in Forestry | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Nuray MISIR | | Co-Lecturer | Prof. Dr. Nuray MISIR | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To construction of growth models for the natural, artifical and mixed stands. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Define the basic concepts related to tree and forest stands development. | 1,2,3 | 1, | | PO - 2 : | Formulate a tree or stand model in statistical symbols. | 2,3 | 1, | | PO - 3 : | Run a tree or forest stands growth model in a computer and present the outcomes. | 2,3 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Whole Stand Models, Size-Class Models, Individual Tree Models, Data Requirements, Construction of Growth Model, Site Classifications, Diamater Growth, Mortality, Ingrowth, Update of the Models, Application of the Models. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Types of Growth Models, Data Resources, Temporary Sample Plots, Interval Sample Plots, Permenant Sample Plots | | | Week 2 | Modelling Stand Height, Classification of Site Index Curves, Anamorphic Site Index Curves, Disjoint Polymorphic Site Index Curves, Non-Disjoint Polymorphic Site Index Curves | | | Week 3 | Fitting Techniques of Stand Height Parameter Prediction Methods, Algebraic Difference Approach (ADA), Generelized Algebric Approach(GADA) | | | Week 4 | Determining Site Index with Topographic and Soil Variables, Classification of Forest Production with Floristic Characteristies | | | Week 5 | Measuring Stand Density, Estimating Potential Density, Natural Device of Stem Number, Concept of Maximum Stand Density | | | Week 6 | Classical Description of Thinnig Operations, Thinnig Weight, Types Of Thinnig, Thinnig Models | | | Week 7 | Modelling Diameter Distributions, Weibull Distribution, Beta Distribution,Normal Distribition, Jhonson's SB Distribution, Gamma Distribition, Negative Exponential Distribution | | | Week 8 | Stand Table Projection, Parameter Prediction Method, Parameter Recovery Method, Transition Matrices, Markov-Chain Models, Mortacity and Ingrowth | | | Week 9 | Mid-term exam | | | Week 10 | Estimating Product Yields, Volume Ratio Methods, Modelling Stem Profiles, Polynomial Models, Segmanted Polynomial Model, Spline Functions, Trigonometric Models, Variable Exponantial Models | | | Week 11 | Variables for Describing Spatial Structures, Size Differentation, Species Segregation and Mingling, Aggregation | | | Week 12 | Competition Indices, Types of Competition Indices, Distance Independent Competition Index, Distance Dependent Competition Index, Calculation of Crown Overlop Areas | | | Week 13 | Distance Independent Individual Tree Models, Diameter Growth Models, Height Growth Models, Mortality Models | | | Week 14 | Distance Dependent Individual Tree Models, Diameter Growth,Height Growth, Basal Area and Volume Growth, Mortality Models | | | Week 15 | Model Validation, Important Concepts In Model Evalution, Statistical Tests for Evaluating Model Performance | | | Week 16 | End-of-term exam | | | |
| 1 | Gadow, K.V and H.Gargying, 2003; Modelling Forest Development, Kluwer Academics Publishers | | | |
| 1 | Vanclay, J.K,1994, Modellling Forest Growth and Yield, CAB International, ISBN 0 85198 913 6, Wallingford | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2021 | 3 | 30 | | In-term studies (second mid-term exam) | 12 | 2021 | 3 | 20 | | End-of-term exam | 16 | 2022 | 3 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 5 | 14 | 70 | | Arasınav için hazırlık | 8 | 6 | 48 | | Arasınav | 3 | 2 | 6 | | Ödev | 0 | 8 | 0 | | Dönem sonu sınavı için hazırlık | 8 | 5 | 40 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 209 |
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