731401 Integrated land use modelling (in Eng.)


Art
Vorlesung und Seminar
Semesterstunden
2
Vortragende/r (Mitwirkende/r)
Schmid, Erwin , Kirchner, Mathias , Mitter, Hermine , Schönhart, Martin
Organisation
Angeboten im Semester
Sommersemester 2020
Unterrichts-/ Lehrsprachen
Englisch

Lehrinhalt

•Basic concepts of integrated land use modelling

oIntroduction to integrated land use modelling
Model types, research aims and contexts
Typical structure of integrated quantitative land use studies
Model linkages and interfaces: bio-physical simulation models, bottom-up land use optimization models, PE, CGE, I/O models, etc.
Impact chains in land use models

oScenario development
Representative Concentration Pathways (RCPs),
Shared Socio-economic Pathways (SSPs)
Price, market, policy forecasts/projections/baselines

oTools and concepts to facilitate integrated land use model development
Generic model development
Organization of data transformation, processing and model integration
Concept of homogenous response units
Linking and analysing bio-physical and economic land use data

oIntegrated land use indicators
Economic indicators
Biotic and abiotic environmental indicators
Biodiversity assessment
Landscape assessment
Ecosystem service indicators


•Stakeholder participation in land use modelling

oTransdisciplinary theory

oStakeholder communication


•Applied land use model building and analysis with GAMS

oExamples of land use models at different scales
Field, farm and landscape modelling
Regional to global land use modelling

oUse of grid-computing facilities


•Sensitivity and uncertainty analysis

oBasic concepts of uncertainty in quantitative land use modelling

oMonte Carlo Simulation

oSurface Response Function Estimation


•Reporting

oScientific paper preparation

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Inhaltliche Voraussetzungen (erwartete Kenntnisse)

Basics in GAMS, R, mathematical programming, regression analysis, and scientific writing.
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Lehrziel

The module aims at strengthening skills in advanced land use optimization modelling by integrating disciplinary concepts, data, methods and scenarios. The students shall be able to build bottom-up land use optimisation models at farm to landscape scale as well as at regional to global scale and to perform integrated impact analysis of climate change, trade, and policy on agricultural land use, production and environment.

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