Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model
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", doi:10.7910/DVN/HEQQIH, Harvard Dataverse, V1
Abstract/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.
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Author ORCID identifiers
Anton Eitzinger https://orcid.org/0000-0001-7317-3381
Peter Läderach https://orcid.org/0000-0001-8708-6318
Stephen E Beebe https://orcid.org/0000-0002-3742-9930
Kai Sonder https://orcid.org/0000-0001-9672-5361
Peter Läderach https://orcid.org/0000-0001-8708-6318
Stephen E Beebe https://orcid.org/0000-0002-3742-9930
Kai Sonder https://orcid.org/0000-0001-9672-5361
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Type
Review Status
Language
en
