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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Geography
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Prof Noam Levin
Coordinator Office Hours:
Tuesday 14:00-15:00
Teaching Staff:
Prof Noam Levin
Course/Module description:
Systematic conservation planning relies on advanced spatial and statistical tools. This course will present some of these tools, using software such as Fragstats, ArcGIS, Terrset and Marxan.
Course/Module aims:
Knowing the theoretical principles of spatial and landscape ecology, and using some spatial tools for prioritizing decisions for conservation planning,
Learning outcomes - On successful completion of this module, students should be able to:
use advances spatial tools to quantify biodiversity, quantifying habitat fragmentation using FRAGSTATS, evaluate the impact of built plans on landscape continuity, plan ecological corridors, and use Marxan for spatial prioritization
Attendance requirements(%):
80
Teaching arrangement and method of instruction:
The teaching will be done online
Alternating frontal lectures and hands-on exercises.
Course/Module Content:
Biodiversity - measuring, sampling efforts and species area relationships.
Protected areas : fragmentation and ecological corridors.
Landscape continuity analysis as a method for evaluating alternatives of planning scenarios.
Spatial prioritization of conservation actions, taking into account conservation targets, costs and threats.
Required Reading:
Levin, N., Lahav, H., Ramon, U., Heller, A., Nizry, G., Tsoar, A., & Sagi, Y. (2007). Landscape continuity analysis: A new approach to conservation planning in Israel. Landscape and Urban Planning, 79(1), 53-64.
Margules, C. R., & Pressey, R. L. (2000). Systematic conservation planning. Nature, 405(6783), 243-253.
Ball, I. R., Possingham, H. P., & Watts, M. (2009). Marxan and relatives: software for spatial conservation prioritisation. Spatial conservation prioritisation: quantitative methods and computational tools. Oxford University Press, Oxford, 185-195.
Ardron, J. A., Possingham, H. P., & Klein, C. J. (2008). Marxan good practices handbook. Victoria, BC.
Levin N. and Nisanholtz N. (2011), A Basic Guide for Using Marxan (in Hebrew).
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 50 %
Assignments 50 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
Prerequisites: basic courses in vector and raster GIS.
MA students can write a seminar work as part of this course.
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