Journal article
Climate Shocks and Migration: An Agent-Based Modeling Approach
Population and environment, Vol.38(1), pp.47-71
09/2016
DOI: 10.1007/s11111-016-0254-y
PMCID: PMC5004973
PMID: 27594725
Abstract
This is a study of migration responses to climate shocks. We construct an agent-based model that incorporates dynamic linkages between demographic behaviors, such as migration, marriage, and births, and agriculture and land use, which depend on rainfall patterns. The rules and parameterization of our model are empirically derived from qualitative and quantitative analyses of a well-studied demographic field site, Nang Rong district, Northeast Thailand. With this model, we simulate patterns of migration under four weather regimes in a rice economy: 1) a reference, ‘normal’ scenario; 2) seven years of unusually wet weather; 3) seven years of unusually dry weather; and 4) seven years of extremely variable weather. Results show relatively small impacts on migration. Experiments with the model show that existing high migration rates and strong selection factors, which are unaffected by climate change, are likely responsible for the weak migration response.
Details
- Title: Subtitle
- Climate Shocks and Migration: An Agent-Based Modeling Approach
- Creators
- Barbara Entwisle - Virginia Tech University, USANathalie E Williams - Virginia Tech University, USAAshton M Verdery - Virginia Tech University, USARonald R Rindfuss - Virginia Tech University, USAStephen J Walsh - Virginia Tech University, USAGeorge P Malanson - Virginia Tech University, USAPeter J Mucha - Virginia Tech University, USABrian G Frizzelle - Virginia Tech University, USAPhilip M McDaniel - Virginia Tech University, USAXiaozheng Yao - Virginia Tech University, USABenjamin W Heumann - Virginia Tech University, USAPramote Prasartkul - Virginia Tech University, USAYothin Sawangdee - Virginia Tech University, USAAree Jampaklay - Virginia Tech University, USA
- Resource Type
- Journal article
- Publication Details
- Population and environment, Vol.38(1), pp.47-71
- DOI
- 10.1007/s11111-016-0254-y
- PMID
- 27594725
- PMCID
- PMC5004973
- NLM abbreviation
- Popul Environ
- ISSN
- 0199-0039
- eISSN
- 1573-7810
- Grant note
- DOI: 10.13039/100000071, name: National Institute of Child Health and Human Development, award: R00HD067587
- Language
- English
- Date published
- 09/2016
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9983816700102771
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