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Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

Data were collected by a simulation model to estimate yield changes due to climate change in El Salvador, Guatemala, Honduras and Nicaragua. We analysed the simulated yield changes to spatially classify high-impact spots of climate change across the four countries. We identified hot spots, adaptatio...

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Autores principales: Eitzinger, Anton, Läderach, Peter R.D., Rodríguez Sánchez, Beatriz, Fisher, Myles J., Beebe, Stephen E., Sonder, Kai, Schmidt, Axel
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: International Center for Tropical Agriculture 2016
Materias:
climate change
simulation models
impact assessment
Acceso en línea:https://hdl.handle.net/10568/77746
Sumario:Data were collected by a simulation model to estimate yield changes due to climate change in El Salvador, Guatemala, Honduras and Nicaragua. We analysed the simulated yield changes to spatially classify high-impact spots of climate change across the four countries. We identified hot spots, adaptation spots and pressure spots for drybeans production in the study area and derived three main recommendations.

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