Agent-based modeling of agricultural adaptation to climate change in a mountainous area of Southwest Germany

C. Troost, G. Calberto, T. Berger, J. Ingwersen, E. Priesack, K. Warrach-Sagi, T. Walter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

We present an agent-based model of climate change adaptation for the agricultural sector of the Central Swabian Alps, a mountainous area in South Western Germany. Apart from climate effects on crop yields, the model also captures effects on crop rotation options, available time for fieldwork and exogenous price effects as potential pathways of climate change impact. First results underline the capacity of the model to simulate short-term adaptation and point to the importance of capturing future price developments to predict land-use effects of adaptation. For full dynamic simulations of the process of adaptation, the model will be extended with realistic learning algorithms and a land market module.

Original languageEnglish
Title of host publicationiEMSs 2012 - Managing Resources of a Limited Planet
Subtitle of host publicationProceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society
Pages631-639
Number of pages9
StatePublished - 2012
Externally publishedYes
Event6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012 - Leipzig, Germany
Duration: 1 Jul 20125 Jul 2012

Publication series

NameiEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society

Conference

Conference6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012
Country/TerritoryGermany
CityLeipzig
Period1/07/125/07/12

Keywords

  • Adaptation
  • Agent-based modeling
  • Agro-environmental policy
  • Climate change

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