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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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model
 
Identifier https://doi.org/10.7910/DVN/HEQQIH
 
Creator Eitzinger, Anton
Läderach, Peter
Rodriguez, Beatriz
Fisher, Myles
Beebe, Stephen
Sonder, Kai
Schmidt, Axel
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Climate change
Simulation modeling
Central America
DSSAT drybean submodel
High-impact spots
Latin America and the Caribbean
Decision and Policy Analysis - DAPA
Agrobiodiversity - AGBIO
 
Date 2014
 
Contributor Mwanzia, Leroy
 
Type Geospatial Data
Models
Climate Data
Experimental Simulation Data