Course on food web analysis - from sample to model

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General information

Aim of the course: Introduction into food web analysis using the example of the Wadden Sea Ecosystem. Demonstration of the necessary steps of food web description: sampling and habitat analysis as well as basics of the ecological network analysis will be communicated by explaining and exercising simple modelling.

Target audience: advanced students, Bachelor,-Master- and PhD students with ecologically focused programme of study. Although the course is focusing on a marine ecosystem, interested students of terrestrial and limnic ecology as well as advanced disciplines are welcome.

Contact Person: PD Dr. Harald Asmus (Harald.Asmus@awi.de)

Content

The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.

Venue

Venue: Wattenmeerstation Sylt
Sylt, Germany

Application

Open from
2 May 2016 to 30 Jun 2016

Application Procedure:

For registration and further information please click here.

Qualification

Academic level: Master, PhD, Lifelong Learning
Occupations (not validated):

Aim of the course: Introduction into food web analysis using the example of the Wadden Sea Ecosystem. Demonstration of the necessary steps of food web description: sampling and habitat analysis as well as basics of the ecological network analysis will be communicated by explaining and exercising simple modelling.

Target audience: advanced students, Bachelor,-Master- and PhD students with ecologically focused programme of study. Although the course is focusing on a marine ecosystem, interested students of terrestrial and limnic ecology as well as advanced disciplines are welcome.

Application procedure: 

For registration and further information please click here.

Apply: 
Monday, May 2, 2016 to Thursday, June 30, 2016
Attendance mode: 
Campus
Attendance pattern: 
Daytime
Duration: 
2 weeks
Start/End: 
Monday, July 6, 2015 - 02:00 to Thursday, July 16, 2015 - 02:00
Language of assessment: 
English
Language of instruction: 
English
Study mode: 
Full time
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