Program Overview

Program Overview

The University of Copenhagen offers a course in Nature Management, which focuses on sustainable management of natural areas and habitats in various environments, including open land, forests, water areas, and urban settings.

Course Description

The course provides an overview of Danish nature management, covering topics such as biodiversity, nature conservation, habitat protection, and the historical development of nature management. It also explores the economic, political, and legal frameworks that govern nature management.

Course Objectives

The course aims to equip students with the knowledge and skills necessary to manage and conserve natural areas in a sustainable manner. Upon completion of the course, students are expected to be able to:

• Identify the origins, development, and quality of different natural areas in Denmark
• Understand the concept of biodiversity and its various aspects
• Recognize the management frameworks for sustainable nature management, including legal, planning, and incentive tools
• Formulate future visions for natural areas
• Prioritize interests in natural areas, balancing production, nature conservation, settlement, recreation, and ecological services
• Collect and interpret digital data related to nature and the environment

Course Structure

The course consists of lectures, exercises, and excursions, with a focus on practical experience and case studies. The course is identical to LNAB10051U Nature and Park Management.

Course Details

• Course code: NIGB19002U
• Credits: 7.5 ECTS
• Level: Bachelor
• Duration: 1 block
• Placement: Block 4
• Language: Danish
• Teaching methods: Lectures, exercises, and excursions
• Assessment: Written assignment, 24 hours
• Grading scale: 7-point scale
• Censorship: No external censorship

Faculty and Department

The course is offered by the Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen.

Course Responsible

The course is taught by Henrik Vejre and Sandra Gentin.

Workload

The estimated workload for the course is:

• Lectures: 48 hours
• Preparation: 96 hours
• Theoretical exercises: 30 hours
• Fieldwork: 32 hours
• Total: 206 hours

Examination

The examination consists of a written assignment, which is completed over 24 hours. All aids are allowed, except for Generative AI. The grading scale is a 7-point scale, and there is no external censorship. The re-examination is identical to the ordinary examination.