Dataset / Geospatial

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

author(s) Eitzinger, Anton - Läderach, Peter - Rodriguez, Beatriz - Fisher, Myles - Beebe, Stephen - Sonder, Kai - Schmidt, Axel
from International Center for Tropical Agriculture (CIAT)
permalink open
themes
regions
  • Central America
  • Latin America and the Caribbean
  • Americas
  • World
citation

Eitzinger, Anton; Läderach, Peter; Rodriguez, Beatriz; Fisher, Myles; Beebe, Stephen; Sonder, Kai; Schmidt, Axel, 2016, "Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model", https://doi.org/10.7910/DVN/HEQQIH, Harvard Dataverse, V1

Publications and datasets provided via GARDIAN

Abstract

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.

Open original