Record Details

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

CGSpace

View Archive Info
 
 
Field Value
 
Title Assessing high-impact spots of climate change: spatial yield simulations with decision support system for agrotechnology transfer (DSSAT) model
 
Creator Eitzinger, Anton
Läderach, Peter
Rodríguez, Beatriz
Fisher, Myles J.
Beebe, Stephen E.
Sonder, Kai
Schmidt, Axel
 
Subject PHASEOLUS VULGARIS L.
CLIMATE CHANGE
SIMULATION MODELS
SMALLHOLDERS
CAMBIO CLIMÁTICO
MODELOS DE SIMULACIÓN
 
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.
Peer Review
 
Date 2016-02-08T20:00:16Z
2016-02-08T20:00:16Z
2016-02-06
 
Type Journal Article
 
Identifier 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.
1381-2386
https://hdl.handle.net/10568/70960
 
Language en
 
Format 18 p.
 
Source Mitigation and Adaptation Strategies for Global Change