Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model
Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2017
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/70960 |
| _version_ | 1855534555976433664 |
|---|---|
| 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 | Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons.We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10–38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10–41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them. |
| format | Journal Article |
| id | CGSpace70960 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace709602025-03-13T09:44:55Z 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 phaseolus vulgaris l. climate change simulation models smallholders cambio climático modelos de simulación Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons.We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10–38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10–41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them. 2017-06 2016-02-08T20:00:16Z 2016-02-08T20:00:16Z Journal Article https://hdl.handle.net/10568/70960 en Open Access Springer Eitzinger, Anton; Läderach, Peter; Rodriguez, Beatriz; Fisher, Myles; Beebe, Stephen; Sonder, Kai; Schmidt, Axel. 2016. Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model. Mitigation and Adaptation Strategies for Global Change 18 p. |
| spellingShingle | phaseolus vulgaris l. climate change simulation models smallholders cambio climático modelos de simulación Eitzinger, Anton Läderach, Peter R.D. Rodríguez Sánchez, Beatriz Fisher, Myles J. Beebe, Stephen E. Sonder, Kai Schmidt, Axel Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title | Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title_full | Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title_fullStr | Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title_full_unstemmed | Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title_short | Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model |
| title_sort | assessing high impact spots of climate change spatial yield simulations with decision support system for agrotechnology transfer dssat model |
| topic | phaseolus vulgaris l. climate change simulation models smallholders cambio climático modelos de simulación |
| url | https://hdl.handle.net/10568/70960 |
| work_keys_str_mv | AT eitzingeranton assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT laderachpeterrd assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT rodriguezsanchezbeatriz assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT fishermylesj assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT beebestephene assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT sonderkai assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel AT schmidtaxel assessinghighimpactspotsofclimatechangespatialyieldsimulationswithdecisionsupportsystemforagrotechnologytransferdssatmodel |