TY - JOUR
T1 - Climate shocks and migration
T2 - an agent-based modeling approach
AU - Entwisle, Barbara
AU - Williams, Nathalie E.
AU - Verdery, Ashton M.
AU - Rindfuss, Ronald R.
AU - Walsh, Stephen J.
AU - Malanson, George P.
AU - Mucha, Peter J.
AU - Frizzelle, Brian G.
AU - McDaniel, Philip M.
AU - Yao, Xiaozheng
AU - Heumann, Benjamin W.
AU - Prasartkul, Pramote
AU - Sawangdee, Yothin
AU - Jampaklay, Aree
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - 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) 7 years of unusually wet weather; (3) 7 years of unusually dry weather; and (4) 7 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.
AB - 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) 7 years of unusually wet weather; (3) 7 years of unusually dry weather; and (4) 7 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.
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U2 - 10.1007/s11111-016-0254-y
DO - 10.1007/s11111-016-0254-y
M3 - Article
AN - SCOPUS:84955277711
SN - 0199-0039
VL - 38
SP - 47
EP - 71
JO - Population and Environment
JF - Population and Environment
IS - 1
ER -