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Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia

Climate change is affecting agricultural production and other aspects of life but only limited number of studies took interest in characterizing and projecting climate and its impact on crop production at local level. The threat to agricultural sector is more serious in Ethiopia, where climate is in...

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Autores principales: Bogale, Girma Asefa, Maja, Mengistu Mengesha, Gebreyohannes, Gebre Hadgu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531561/
https://www.ncbi.nlm.nih.gov/pubmed/34712857
http://dx.doi.org/10.1016/j.heliyon.2021.e08176
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author Bogale, Girma Asefa
Maja, Mengistu Mengesha
Gebreyohannes, Gebre Hadgu
author_facet Bogale, Girma Asefa
Maja, Mengistu Mengesha
Gebreyohannes, Gebre Hadgu
author_sort Bogale, Girma Asefa
collection PubMed
description Climate change is affecting agricultural production and other aspects of life but only limited number of studies took interest in characterizing and projecting climate and its impact on crop production at local level. The threat to agricultural sector is more serious in Ethiopia, where climate is influenced by diverse topography and varying landscape features. This study was conducted in Welmera area to model the impacts of climate change on production of two faba bean (Vicia faba L.) varieties (Tums and Gora). Historical climate and crop yield data were obtained from the National Meteorological Agency of Ethiopia and Holeta Agricultural Research Center, respectively. Future climate data were downscaled by an average ensemble of four GCMs (BSS-CSM1-1, HadGEM2-ES, MIROC-ESM, NorESM1-M) in near- and mid-century (2030s and 2050s) under both RCP 4.5 and RCP 8.5. Rainfall by near-century will increase by up to 50% depending on the concentration pathway considered compared to the baseline period (1988–2017). The projected average rainfall total of belg season (FMAM) will increase by 88.17% under RCP 4.5 scenario and 95.38% under RCP 8.5 scenario in near-century. The future projection revealed that the highest mean monthly rainfall and temperature changes will occur in July (147.3 mm/month) and August (0.24 °C/month) under RCP8.5. However, in August and September mean monthly rainfall will decrease dramatically by 50.85 % and 31.05% from 2020 to 2079 under RCP 8.5 and RCP 4.5, respectively. The yield of Tumsa variety will decrease by up to 24.19% under RCP8.5 in mid-century. Gora variety will see an increase of yield by 18.24% under RCP 4.5 in mid-century and 28.03% under RCP 8.5 in near-century. Overall, the area will experience an increase and a decrease in faba bean yield for both varieties in the upcoming decades in the study area. Performance evaluation of the models showed that they were able to predict future yield faba bean varieties in the area with acceptable accuracy. Inconsistency of future climate variables and impact on fababean production underscores the need to develop location-specific adaptation strategies. Further studies that consider wider area could be necessary to better understand the impact of future climate on faba bean production in the study area and similar agroecologies in the country.
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spelling pubmed-85315612021-10-27 Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia Bogale, Girma Asefa Maja, Mengistu Mengesha Gebreyohannes, Gebre Hadgu Heliyon Research Article Climate change is affecting agricultural production and other aspects of life but only limited number of studies took interest in characterizing and projecting climate and its impact on crop production at local level. The threat to agricultural sector is more serious in Ethiopia, where climate is influenced by diverse topography and varying landscape features. This study was conducted in Welmera area to model the impacts of climate change on production of two faba bean (Vicia faba L.) varieties (Tums and Gora). Historical climate and crop yield data were obtained from the National Meteorological Agency of Ethiopia and Holeta Agricultural Research Center, respectively. Future climate data were downscaled by an average ensemble of four GCMs (BSS-CSM1-1, HadGEM2-ES, MIROC-ESM, NorESM1-M) in near- and mid-century (2030s and 2050s) under both RCP 4.5 and RCP 8.5. Rainfall by near-century will increase by up to 50% depending on the concentration pathway considered compared to the baseline period (1988–2017). The projected average rainfall total of belg season (FMAM) will increase by 88.17% under RCP 4.5 scenario and 95.38% under RCP 8.5 scenario in near-century. The future projection revealed that the highest mean monthly rainfall and temperature changes will occur in July (147.3 mm/month) and August (0.24 °C/month) under RCP8.5. However, in August and September mean monthly rainfall will decrease dramatically by 50.85 % and 31.05% from 2020 to 2079 under RCP 8.5 and RCP 4.5, respectively. The yield of Tumsa variety will decrease by up to 24.19% under RCP8.5 in mid-century. Gora variety will see an increase of yield by 18.24% under RCP 4.5 in mid-century and 28.03% under RCP 8.5 in near-century. Overall, the area will experience an increase and a decrease in faba bean yield for both varieties in the upcoming decades in the study area. Performance evaluation of the models showed that they were able to predict future yield faba bean varieties in the area with acceptable accuracy. Inconsistency of future climate variables and impact on fababean production underscores the need to develop location-specific adaptation strategies. Further studies that consider wider area could be necessary to better understand the impact of future climate on faba bean production in the study area and similar agroecologies in the country. Elsevier 2021-10-14 /pmc/articles/PMC8531561/ /pubmed/34712857 http://dx.doi.org/10.1016/j.heliyon.2021.e08176 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Bogale, Girma Asefa
Maja, Mengistu Mengesha
Gebreyohannes, Gebre Hadgu
Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title_full Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title_fullStr Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title_full_unstemmed Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title_short Modelling the impacts of climate change on faba bean (Vicia faba L.) production in Welmera area, central Ethiopia
title_sort modelling the impacts of climate change on faba bean (vicia faba l.) production in welmera area, central ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531561/
https://www.ncbi.nlm.nih.gov/pubmed/34712857
http://dx.doi.org/10.1016/j.heliyon.2021.e08176
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