Information Package / Course Catalogue
Spatial Ecology and Conservation Modeling Applications in R
Course Code: ZPM615
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Application of spatial ecology and conservation-based models using up-to-date information technology, teaching advanced landscape planning techniques.

Course Content

Introduction of landscape ecology models in R environment, quantification of spatial pattern, modeling of potential spatial distribution of species with point-based data, mapping of structural and functional connections.

Name of Lecturer(s)
Assoc. Prof. Derya GÜLÇİN
Learning Outcomes
1.Fundamental methods used in spatial ecology
2.Linking information technology to landscape planning goals
3.Interpreting model outputs
4.Implementation of the ecological niche model
5.Modeling both functional and structural ecological connectivity
6.Analyzing and evaluating the spatial pattern with current metrics
Recommended or Required Reading
1.Fletcher, R., & Fortin, M. (2018). Spatial ecology and conservation modeling. Springer International Publishing.
2.Turner, M. G., Gardner, R. H., O'neill, R. V., & O'Neill, R. V. (2001). Landscape ecology in theory and practice (Vol. 401). Springer New York.
3.Hesselbarth, M. H., Nowosad, J., Signer, J., & Graham, L. J. (2021). Open-source Tools in R for Landscape Ecology. Current Landscape Ecology Reports, 1-15
4.Drew, C. A., Wiersma, Y. F., & Huettmann, F. (Eds.). (2010). Predictive species and habitat modeling in landscape ecology: concepts and applications. Springer Science & Business Media
Weekly Detailed Course Contents
Week 1 - Theoretical
General introduction of the course
Week 2 - Theoretical
The importance of spatial ecology and spatial models
Week 3 - Theoretical
Analysis of spatial pattern
Week 4 - Theoretical
Information about R statistics software
Week 5 - Theoretical
Information about R statistics software
Week 6 - Theoretical
Developing an ecological niche model with point-based species data
Week 7 - Theoretical
Developing an ecological niche model with point-based species data
Week 8 - Theoretical
Ecological connectivity and connectivity models
Week 9 - Theoretical
Ecological connectivity and connectivity models
Week 10 - Theoretical
Structural connectivity analysis
Week 11 - Theoretical
Structural connectivity analysis
Week 12 - Theoretical
Functional connectivity analysis
Week 13 - Theoretical
Functional connectivity analysis
Week 14 - Theoretical
Integration of information technology into landscape planning
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory14102168
Term Project1617
Midterm Examination110111
Final Examination113114
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
1
3
3
4
4
5
2
3
OÇ-2
4
5
1
3
1
3
4
1
2
OÇ-3
4
1
3
4
5
4
1
2
5
OÇ-4
3
1
4
1
4
2
1
4
3
OÇ-5
3
2
1
4
5
3
4
5
4
OÇ-6
3
4
5
5
4
2
1
4
5
Adnan Menderes University - Information Package / Course Catalogue
2026