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...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Tropical Agriculture
2016
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/77746 |
| _version_ | 1855540586749100032 |
|---|---|
| author | Eitzinger, Anton Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Fisher, Myles J. Beebe, Stephen E. Sonder, Kai Schmidt, Axel |
| author_browse | Beebe, Stephen E. Eitzinger, Anton Fisher, Myles J. Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Schmidt, Axel Sonder, Kai |
| author_facet | Eitzinger, Anton Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Fisher, Myles J. Beebe, Stephen E. Sonder, Kai Schmidt, Axel |
| author_sort | Eitzinger, Anton |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Conjunto de datos |
| id | CGSpace77746 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace777462025-03-13T09:45:35Z Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model Eitzinger, Anton Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Fisher, Myles J. Beebe, Stephen E. Sonder, Kai Schmidt, Axel climate change simulation models impact assessment 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. 2016-11-11 2016-11-15T13:25:14Z 2016-11-15T13:25:14Z Dataset https://hdl.handle.net/10568/77746 en Open Access International Center for Tropical Agriculture 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 |
| spellingShingle | climate change simulation models impact assessment Eitzinger, Anton Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Fisher, Myles J. Beebe, Stephen E. Sonder, Kai Schmidt, Axel Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title | Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title_full | Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title_fullStr | Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title_full_unstemmed | Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title_short | Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model |
| title_sort | replication data for assessing high impact spots of climate change spatial yield simulations with decision support system for agrotechnology transfer dssat model |
| topic | climate change simulation models impact assessment |
| url | https://hdl.handle.net/10568/77746 |
| work_keys_str_mv | AT eitzingeranton replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT laderachpeterrd replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT rodriguezsanchezbeatriz replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT fishermylesj replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT beebestephene replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT sonderkai replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT schmidtaxel replicationdataforassessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel |