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Restoration Ecology (3 cr)

Code: CM22SW04-3003

General information


Enrollment

15.11.2024 - 09.03.2025

Timing

10.03.2025 - 31.05.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Bioeconomy

Teaching languages

  • English

Teachers

  • Stefan Heinänen
  • Jonna Engström-Öst

Groups

  • CM24D-E
    Sustainable Coastal Management, full-time studies, 2024

Objective

The student:
- knows the importance of restoring degraded ecosystems
- knows different types of restoration methods and how to choose a suitable method

Content

- objectives of ecosystem restoration
- UN:s the "decade on ecosystem restoration 2021-2030 "
- restoration case studies, e.g. restoration of spawning ground, re-establishing of sea grass meadows, eradication of invasive species, translocation of endangered species, establishing of wetland
- students are introduced to different methods used in restoration and planning of restoration projects

Location and time

Period 4, Campus Raseborg

Materials

On moodle

Teaching methods

assignments, lectures, excursions

Exam schedules

during the course

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The assignments were completed and the student obtained a basic understanding of the course content

Assessment criteria, good (3)

The assignments were completed without major remarks and the student obtained a good understanding of the course content

Assessment criteria, excellent (5)

Assignments were completed without remarks and the the student obtained an excellent understanding of the course content

Assessment methods and criteria

Graded 1-5 based on assignments

Assessment criteria, fail (0)

<50% of the maximum number of credits earned in the assignments

Assessment criteria, satisfactory (1-2)

50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively

Assessment criteria, good (3-4)

70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively

Assessment criteria, excellent (5)

90-100% (=5) of the maximum number of credits earned in the assignments respectively

Qualifications

No previous knowledge requirements