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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING
Masters with Thesis
Course Catalog
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FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Masters with Thesis
Katalog Ana Sayfa
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ORM5140Growth and Yield Models in Forestry3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of FOREST ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Nuray MISIR
Co-LecturerProf. Dr. Nuray MISIR
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To construction of growth models for the natural, artifical and mixed stands.
 
Programme OutcomesCTPOTOA
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.1,2,31,
PO - 2 : Formulate a tree or stand model in statistical symbols.2,31,
PO - 3 : Run a tree or forest stands growth model in a computer and present the outcomes.2,31,
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

 
Contents of the Course
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.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Types of Growth Models, Data Resources, Temporary Sample Plots, Interval Sample Plots, Permenant Sample Plots
 Week 2Modelling Stand Height, Classification of Site Index Curves, Anamorphic Site Index Curves, Disjoint Polymorphic Site Index Curves, Non-Disjoint Polymorphic Site Index Curves
 Week 3Fitting Techniques of Stand Height Parameter Prediction Methods, Algebraic Difference Approach (ADA), Generelized Algebric Approach(GADA)
 Week 4Determining Site Index with Topographic and Soil Variables, Classification of Forest Production with Floristic Characteristies
 Week 5Measuring Stand Density, Estimating Potential Density, Natural Device of Stem Number, Concept of Maximum Stand Density
 Week 6Classical Description of Thinnig Operations, Thinnig Weight, Types Of Thinnig, Thinnig Models
 Week 7Modelling Diameter Distributions, Weibull Distribution, Beta Distribution,Normal Distribition, Jhonson's SB Distribution, Gamma Distribition, Negative Exponential Distribution
 Week 8Stand Table Projection, Parameter Prediction Method, Parameter Recovery Method, Transition Matrices, Markov-Chain Models, Mortacity and Ingrowth
 Week 9Mid-term exam
 Week 10Estimating Product Yields, Volume Ratio Methods, Modelling Stem Profiles, Polynomial Models, Segmanted Polynomial Model, Spline Functions, Trigonometric Models, Variable Exponantial Models
 Week 11Variables for Describing Spatial Structures, Size Differentation, Species Segregation and Mingling, Aggregation
 Week 12Competition Indices, Types of Competition Indices, Distance Independent Competition Index, Distance Dependent Competition Index, Calculation of Crown Overlop Areas
 Week 13Distance Independent Individual Tree Models, Diameter Growth Models, Height Growth Models, Mortality Models
 Week 14Distance Dependent Individual Tree Models, Diameter Growth,Height Growth, Basal Area and Volume Growth, Mortality Models
 Week 15Model Validation, Important Concepts In Model Evalution, Statistical Tests for Evaluating Model Performance
 Week 16End-of-term exam
 
Textbook / Material
1Gadow, K.V and H.Gargying, 2003; Modelling Forest Development, Kluwer Academics Publishers
2Gadow, K.V and H.Gargying, 2003; Modelling Forest Development, Kluwer Academics Publishers
 
Recommended Reading
1Vanclay, J.K,1994, Modellling Forest Growth and Yield, CAB International, ISBN 0 85198 913 6, Wallingford
2Vanclay, J.K,1994, Modellling Forest Growth and Yield, CAB International, ISBN 0 85198 913 6, Wallingford
 
Method of Assessment
Type of assessmentWeek NoDate

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 workDuration (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 load209