2016
DOI: 10.5897/ajar2015.10734
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The decrease of potential suitable areas and the distribution tendency of staple crops in Ethiopia under future climate conditions

Abstract: Rain-fed agriculture is the most common pattern for Ethiopian smallholders, while it is sensitive to climate change in the future. In order to predict the impact of climate change and decrease the risk of food crisis in Ethiopia, the potential crops suitability of teff (Eragrostis tef), maize (Zea mays), wheat (Triticum aestivum Linn.) were simulated and suitable distribution were analyzed by using GIS-MCE (Multi-Criteria Evaluation) Planting Ecological Adaptability model under both current and future (2080s) … Show more

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Cited by 4 publications
(2 citation statements)
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“…In the context of climate change, it is essential to assess shifts in land suitability for crop production to minimise crop production risks [8]. Land suitability assessments may also help to indicate proper adaptation strategies to optimise agricultural production for improving the resilience of farming systems to climate change [9,10]. Land suitability assessment is a technique used to determine how suitable the land is for growing a given crop in a given region [11].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the context of climate change, it is essential to assess shifts in land suitability for crop production to minimise crop production risks [8]. Land suitability assessments may also help to indicate proper adaptation strategies to optimise agricultural production for improving the resilience of farming systems to climate change [9,10]. Land suitability assessment is a technique used to determine how suitable the land is for growing a given crop in a given region [11].…”
Section: Introductionmentioning
confidence: 99%
“…Jia et al [34] evaluated the suitable areas for maize cultivation in China and their change under future climate conditions. Tan et al [10] evaluated suitable areas for maize and wheat in Ethiopia under current and future climate conditions using the GIS-MCE Planting Ecological Adaptability model.…”
Section: Introductionmentioning
confidence: 99%