Module: Biological Signals in Ecosystems (2101-240)

This module not offered anymore!

Persons:

• Prof. Dr. Manfred Küppers (verantwortlich)

Degree Program:

• Agricultural Biology (Bachelor, since 01.10.2015)
  5. Semester, elective
• Biologie Lehramt an Gymnasien (Master, since 01.10.2017)
  1. Semester, elective
• Biologie Lehramt an Gymnasien (Master, since 01.10.2017)
  3. Semester, elective
• Biologie Lehramt an Gymnasien | Erweiterungsmaster (Master, since 01.10.2017)
  3. Semester, elective
• Agricultural Biology (from WS 17/18 on) (Bachelor, since 01.10.2017)
  5. Semester, elective
• Agricultural Biology (from WS 18/19 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective
• Agricultural Sciences (from SS 18 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective
• Biobased Products and Bioenergy (from WS 18/19 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective
• Biology (Bachelor, since 01.04.2011)
  5. Semester, semi-elective
• Agricultural Biology (from WS 18/19 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective
• Agricultural Sciences (from SS 18 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective
• Biobased Products and Bioenergy (from WS 18/19 on) (Bachelor, since 01.04.2018)
  5. Semester, semi-elective

Prerequisites for Attendance:

Botanische und ökologische Veranstaltungen bis zum 4. Fachsemester

Sprache:

German/English

ECTS:

6 credits

Frequency:

every winter semester

Length of the Module:

blocked

Compulsory assignment:

Regular and active participation

Module examination:

Presentation, oral exam

Workload:

56 h presence + 124 h personal contribution = 180 h workload

Professional competences:

Students learn basics and methods in vegetation and climate history since the last Pleistocene as well as history and development of cultivated plants.
- Study generation of proxy data for reconstructing climate and environmental parameters and study selected primary and secondary literature sources.
Results will be presented in seminar presentations.
- Apply methods for reconstructing landscape and vegetation dynamics and development.

Comments:

Maximum number of participants: 12

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