Information Package / Course Catalogue
| Course Code | : ZPM544 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
Fundamental approaches to ecological niche modeling (ENM) and species distribution modeling methods, GIS-based ENM mapping, modeling, analysis and evaluation according to different climate scenarios.
Ecological Niche Modeling (ENM) theory, preparation of environmental variables used in ENM, introduction of the programs to be used and detailed information, application of model statistics.
| Assoc. Prof. Derya GÜLÇİN |
| 1. | To learn the basic methods used in ecological niche models |
| 2. | Having knowledge of data analysis and evaluation processes related to ENM |
| 3. | Evaluate the difference between present and future in the prediction of species distribution based on ENM |
| 4. | Understanding the relationship between ENM and landscape planning |
| 5. | Evaluating the technical knowledge learned about ENM within the scope of natural ecosystems and processes |
| 1. | Guisan, A., Thuiller, W., & Zimmermann, N. E. (2017). Habitat suitability and distribution models: with applications in R. Cambridge University Press |
| 2. | Muscarella, R., Galante, P. J., Soley-Guardia, M., Boria, R. A., Kass, J. M., Uriarte, M., & Anderson, R. P. (2014). ENM eval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods in ecology and evolution, 5(11), 1198-1205. |
| 3. | Cobos, M. E., Peterson, A. T., Barve, N., & Osorio-Olvera, L. (2019). kuenm: an R package for detailed development of ecological niche models using Maxent. PeerJ, 7, e6281. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 10 | 2 | 168 |
| Term Project | 1 | 6 | 1 | 7 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 13 | 1 | 14 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | |
OÇ-1 | 5 | 5 | 5 | 3 | 3 | 5 | 4 |
OÇ-2 | 5 | 5 | 5 | 3 | 3 | 4 | 5 |
OÇ-3 | 4 | 4 | 4 | 2 | 2 | 3 | 4 |
OÇ-4 | 3 | 3 | 3 | 1 | 1 | 2 | 5 |
OÇ-5 | 3 | 4 | 5 | 5 | 5 | 3 | 4 |