Lehrende: Dr. Livia Rasche; Prof. Dr. Uwe Schneider
Veranstaltungsart: Übung
Anzeige im Stundenplan:
Semesterwochenstunden: 2
Credits: 4,0
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: 6 | 30
Kommentare/ Inhalte: This course provides theoretical principles and practical applications for assessing land-use systems and land use developments. The first part of the course will cover a biophysical process model for local analysis of agricultural systems. Driven by daily weather, soil, and management data, this model simulates crop biomass development and related soil and agro-ecological processes. The second part of the course covers the fundamentals of agricultural sector models (ASM). These models depict crop and livestock production decisions comprehensively for diverse farming systems and entire regions. The agricultural product supply is linked to domestic and foreign demand for food and non-food commodities via national and international markets. The combination of biophysical process and agricultural sector models provides a powerful methodology to jointly assess the economic and ecological impacts of land use. The methodology can explore agricultural impacts, adaptation options, and mitigation strategies under changing environments and socio- economic developments.
Lernziel: Students will become familiar with coupled model systems for integrated land use assessment and grasp their theoretical foundations. Through hands-on exercises, students will learn to apply i) a biophysical process model (EPIC) for agricultural systems simulation and ii) an agricultural sector model (ASM) coupled with EPIC for economic analysis.
Vorgehen: Modeling agricultural land use and the impacts of land-use change Date 21-25 March 2022, 9:30 – 16:30 Location ZOOM-Online Course Instructors Dr. Livia Rasche, Prof. Dr. Uwe A. Schneider Content: This course provides theoretical principles and practical applications for assessing land-use systems and land use developments. The first part of the course will cover a biophysical process model for local analysis of agricultural systems. Driven by daily weather, soil, and management data, this model simulates crop biomass development and related soil and agro-ecological processes. The second part of the course covers the fundamentals of agricultural sector models (ASM). These models depict crop and livestock production decisions comprehensively for diverse farming systems and entire regions. The agricultural product supply is linked to domestic and foreign demand for food and non-food commodities via national and international markets. The combination of biophysical process and agricultural sector models provides a powerful methodology to jointly assess the economic and ecological impacts of land use. The methodology can explore agricultural impacts, adaptation options, and mitigation strategies under changing environments and socio- economic developments. Learning Objectives: Students will become familiar with coupled model systems for integrated land use assessment and grasp their theoretical foundations. Through hands-on exercises, students will learn to apply i) a biophysical process model (EPIC) for agricultural systems simulation and ii) an agricultural sector model (ASM) coupled with EPIC for economic analysis. Procedure: Introductory lectures with extensive computer exercises. Day 1+2: Introduction to EPIC + Exercises Day 3: Introduction to General Algebraic Modeling System (GAMS) + Exercises Day 4+5: Introduction to Agricultural Sector Model (ASM) + Exercises
Literatur: To be announced at the beginning of the course.
Zusätzliche Hinweise zu Prüfungen: No specific prior experience is required for this course. Programming experience is helpful. Space is limited. If you are interested in taking Part 1 and/or Part 2, please contact Prof. Uwe Schneider (uwe.schneider@uni-hamburg.de)
