Information Package / Course Catalogue
Vegetation Analyses in Landscape Planning
Course Code: ZPM516
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: 6
Objectives of the Course

To introduce landscape architecture with the general overview of vegetation science. Under the scope of landscape analysis, to evaluate the criteria of landscape quality such as naturalness and hemoroby and to teach the use of syntaxonomic indicators for the mapping of vegetation cover

Course Content

Syn-taxonomic indicators, vegetation analysis methods, use of vegetation indicator in study of ecological structure, function of vegetation analysis in determination of anthropogenic effects on natural environment, Synantropic vegetation, vegetation map, Habitat classification systems (CORINE, EUNIS).

Name of Lecturer(s)
Learning Outcomes
1.Knows vegetation analysis methods
2.Can use vegetation indicators to examine ecological structure
3.Knows the importance of vegetation analysis in detecting anthropogenic effects on the natural environment.
4.Gain information about synanthropic vegetation and vegetation maps.
5.Knows the definition of habitat classification systems (CORINE, EUNIS) and Syn-taxonomic indicators
Recommended or Required Reading
1.Akman, Y., Ketenoğlu, O.,1992. Vejetasyon Ekolojisi ve Araştırma Metodları, Ankara Üniversitesi Fen Fakültesi, Ankara
2.CORINE Biotopes manual - Habitats of the European Community, Data specifications Part 2, EUR 12587/3 EN
3.Çetik, A.R., 1973. Vejetasyon bilimi, Ankara Üniversitesi Fen Fakültesi, Ankara.
4.Yılmaz, K.T., Kosztolanyi A., Alphan, A., Çevik, C., Çakan, H., Kapur, S., 2011. Tuz Gölü Lagünü ve Bağlantılı Sulak Alan Ekosisteminde Kıyı Habitatlarının Kısa Dönemli İzlenmesi, TÜBİTAK 108Y329/ÇAYDAG Sonuç Raporu.
5.Antrop, M. (2018). A brief history of landscape research. In The Routledge companion to landscape studies (pp. 1-15). Routledge.
6.Richards, J. A., & Richards, J. A. (2022). Remote sensing digital image analysis (Vol. 5). Berlin/Heidelberg, Germany: springer.
7.Houborg, R., Fisher, J. B., & Skidmore, A. K. (2015). Advances in remote sensing of vegetation function and traits. International Journal of Applied Earth Observation and Geoinformation, 43, 1-6.
8.Doherty, G., & Waldheim, C. (2016). What is landscape. Is Landscape, 12.
9.Wende, W. (2019). Landscape planning and ecosystem services in Europe and beyond: Landscape planning with ecosystem services–theories and methods for application in Europe, edited by C. von Haaren, AA Lovett, and C. Albert, Dordrecht, The Netherlands, Springer Nature, 2019, Landscape Series 24, 506 pp.,€ 83.29 (e-book),€ 106.99 (hardcover), ISBN: 978-94-024-1681-7.
10.Causton, D. R. (2012). An introduction to vegetation analysis: principles, practice and interpretation. Springer Science & Business Media.
11.La Riccia, L. (2017). Landscape planning at the local level. Springer International Publishing.
12.Gergel, S. E., & Turner, M. G. (Eds.). (2017). Learning landscape ecology: a practical guide to concepts and techniques. Springer.
13.Wildi, O. (2017). Data analysis in vegetation ecology. Cabi.
14.Chytry, M., Tichy, L., Hennekens, S. M., & Schaminée, J. H. (2014). Assessing vegetation change using vegetation-plot databases: a risky business. Applied Vegetation Science, 17(1), 32-41.
Weekly Detailed Course Contents
Week 1 - Theoretical
Fundamentals of Syn-taxonomy
Week 2 - Theoretical
Syn-taxonomic indicators
Week 3 - Theoretical
Vegetation analysis methods
Week 4 - Theoretical
Quadrat method
Week 5 - Theoretical
Ribbon-line method
Week 6 - Theoretical
Transects and combined methods
Week 7 - Theoretical
Use of plant cover indicator in examining ecological structure
Week 8 - Theoretical
Function of plant cover analysis in determining anthropogenic effects on natural environment
Week 9 - Theoretical
Synantropik vejetasyon
Week 10 - Theoretical
Synantropic vegetation
Week 11 - Theoretical
Vegetation maps
Week 12 - Theoretical
Habitat classification systems (CORINE, EUNIS)
Week 13 - Theoretical
Identification of syn-taxonomic indicators in habitat classification
Week 14 - Theoretical
Identification of syn-taxonomic indicators in habitat classification
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Presentation1%5
Assignment2%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment27320
Presentation 1516
Reading70214
Individual Work142256
Final Examination111112
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
4
5
4
4
3
5
OÇ-2
4
3
5
3
3
OÇ-3
3
3
5
OÇ-4
4
3
OÇ-5
3
5
5
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026