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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 | Mid-term exam | | Week 13 | Competition Indices, Types of Competition Indices, Distance Independent Competition Index, Distance Dependent Competition Index, Calculation of Crown Overlop AreasDistance 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 | 27.11.2023 | 3 | 30 | In-term studies (second mid-term exam) | 12 | 25.12.2023 | 3 | 20 | End-of-term exam | 16 | 215.01.2024 | 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 | 13 | 39 | 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 | | | 206 |
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