Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model

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cg.contributor.crpClimate Change, Agriculture and Food Security
cg.coverage.countryEl Salvador
cg.coverage.countryGuatemala
cg.coverage.countryHonduras
cg.coverage.countryNicaragua
cg.coverage.iso3166-alpha2SV
cg.coverage.iso3166-alpha2GT
cg.coverage.iso3166-alpha2HN
cg.coverage.iso3166-alpha2NI
cg.coverage.regionCentral America
cg.coverage.regionLatin America
cg.creator.identifierAnton Eitzinger: 0000-0001-7317-3381
cg.creator.identifierPeter Läderach: 0000-0001-8708-6318
cg.creator.identifierStephen E Beebe: 0000-0002-3742-9930
cg.creator.identifierKai Sonder: 0000-0001-9672-5361
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1007/s11027-015-9696-2en
cg.isijournalISI Journalen
cg.issn1381-2386en
cg.issue5en
cg.journalMitigation and Adaptation Strategies for Global Changeen
cg.reviewStatusPeer Reviewen
cg.subject.ciatCLIMATE CHANGE ADAPTATIONen
cg.subject.ciatMODELINGen
cg.volume22en
dc.contributor.authorEitzinger, Antonen
dc.contributor.authorLäderach, Peter R.D.en
dc.contributor.authorRodríguez Sánchez, Beatrizen
dc.contributor.authorFisher, Myles J.en
dc.contributor.authorBeebe, Stephen E.en
dc.contributor.authorSonder, Kaien
dc.contributor.authorSchmidt, Axelen
dc.date.accessioned2016-02-08T20:00:16Zen
dc.date.available2016-02-08T20:00:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/70960
dc.titleAssessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) modelen
dcterms.abstractDrybeans (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.en
dcterms.accessRightsOpen Access
dcterms.available2016-02-06
dcterms.bibliographicCitationEitzinger, 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.en
dcterms.extent18 p.en
dcterms.issued2017-06
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectphaseolus vulgaris l.en
dcterms.subjectclimate changeen
dcterms.subjectsimulation modelsen
dcterms.subjectsmallholdersen
dcterms.subjectcambio climáticoen
dcterms.subjectmodelos de simulaciónen
dcterms.typeJournal Article

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