Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach

Climate-smart agricultural (CSA) practices have been adopted in various agroecological zones in Ethiopia to enhance productivity, improve resilience to climate change, and reduce greenhouse gas emissions through carbon sequestration. However, the overall impact of different CSA practices on producti...

Descripción completa

Detalles Bibliográficos
Autores principales: Adimassu, Zenebe, Tibebe, Degefie, Tamene, Lulseged, Abera, Wuletawu
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/175710
_version_ 1855519681850376192
author Adimassu, Zenebe
Tibebe, Degefie
Tamene, Lulseged
Abera, Wuletawu
author_browse Abera, Wuletawu
Adimassu, Zenebe
Tamene, Lulseged
Tibebe, Degefie
author_facet Adimassu, Zenebe
Tibebe, Degefie
Tamene, Lulseged
Abera, Wuletawu
author_sort Adimassu, Zenebe
collection Repository of Agricultural Research Outputs (CGSpace)
description Climate-smart agricultural (CSA) practices have been adopted in various agroecological zones in Ethiopia to enhance productivity, improve resilience to climate change, and reduce greenhouse gas emissions through carbon sequestration. However, the overall impact of different CSA practices on productivity, adaptation, and mitigation metrics has not been exhaustively evaluated. The study employed a meta-analysis approach based on data from 220 peer-reviewed articles to assess the effects of commonly used CSA practices on these indicators across Ethiopia's diverse agroecological regions. The analysis identified over 20 CSA practices, with most—except soil bunds, level Fanya juu, and deficit irrigation—showing positive effects on productivity, peaking with drip irrigation (effect size of 2.15). Almost all practices also effectively reduced runoff and soil erosion, particularly crop residue mulching, which had a remarkable effect size of 2.95. Additionally, the findings indicated that various CSA practices enhanced soil organic matter and carbon stocks. Water management practices, especially drip and deficit irrigation, demonstrated significantly higher water productivity than traditional flood irrigation, with an effect size of up to 2.6. This water use efficiency suggests that these methods could free up substantial water resources for irrigating additional land, thus boosting crop production in water-scarce areas. However, the analysis revealed a negative effect size of up to −0.74 for income derived from drip irrigation, primarily due to the high costs of the necessary equipment. This highlights the need for reforms in duty and tax exemptions to improve farmers' profitability from drip irrigation systems. Overall, this meta-analysis assesses the impact of various CSA practices on key performance indicators productivity, adaptation, and mitigation—providing insights that can guide the packaging and implementation of the most effective CSA strategies across Ethiopia's agroecological zones.
format Journal Article
id CGSpace175710
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1757102025-12-08T09:54:28Z Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach Adimassu, Zenebe Tibebe, Degefie Tamene, Lulseged Abera, Wuletawu carbon sequestration climate smart agriculture soil organic matter water management Climate-smart agricultural (CSA) practices have been adopted in various agroecological zones in Ethiopia to enhance productivity, improve resilience to climate change, and reduce greenhouse gas emissions through carbon sequestration. However, the overall impact of different CSA practices on productivity, adaptation, and mitigation metrics has not been exhaustively evaluated. The study employed a meta-analysis approach based on data from 220 peer-reviewed articles to assess the effects of commonly used CSA practices on these indicators across Ethiopia's diverse agroecological regions. The analysis identified over 20 CSA practices, with most—except soil bunds, level Fanya juu, and deficit irrigation—showing positive effects on productivity, peaking with drip irrigation (effect size of 2.15). Almost all practices also effectively reduced runoff and soil erosion, particularly crop residue mulching, which had a remarkable effect size of 2.95. Additionally, the findings indicated that various CSA practices enhanced soil organic matter and carbon stocks. Water management practices, especially drip and deficit irrigation, demonstrated significantly higher water productivity than traditional flood irrigation, with an effect size of up to 2.6. This water use efficiency suggests that these methods could free up substantial water resources for irrigating additional land, thus boosting crop production in water-scarce areas. However, the analysis revealed a negative effect size of up to −0.74 for income derived from drip irrigation, primarily due to the high costs of the necessary equipment. This highlights the need for reforms in duty and tax exemptions to improve farmers' profitability from drip irrigation systems. Overall, this meta-analysis assesses the impact of various CSA practices on key performance indicators productivity, adaptation, and mitigation—providing insights that can guide the packaging and implementation of the most effective CSA strategies across Ethiopia's agroecological zones. 2025-02 2025-07-22T06:44:08Z 2025-07-22T06:44:08Z Journal Article https://hdl.handle.net/10568/175710 en Open Access Elsevier Adimassu, Z., Tibebe, D., Tamene, L. and Abera, W. 2025. Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach. Heliyon 11(4):e42796.
spellingShingle carbon sequestration
climate smart agriculture
soil organic matter
water management
Adimassu, Zenebe
Tibebe, Degefie
Tamene, Lulseged
Abera, Wuletawu
Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title_full Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title_fullStr Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title_full_unstemmed Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title_short Evaluating the effects of Climate Smart Agricultural (CSA) practices on productivity, adaptation, and mitigation indicators in Ethiopia: A meta-analysis approach
title_sort evaluating the effects of climate smart agricultural csa practices on productivity adaptation and mitigation indicators in ethiopia a meta analysis approach
topic carbon sequestration
climate smart agriculture
soil organic matter
water management
url https://hdl.handle.net/10568/175710
work_keys_str_mv AT adimassuzenebe evaluatingtheeffectsofclimatesmartagriculturalcsapracticesonproductivityadaptationandmitigationindicatorsinethiopiaametaanalysisapproach
AT tibebedegefie evaluatingtheeffectsofclimatesmartagriculturalcsapracticesonproductivityadaptationandmitigationindicatorsinethiopiaametaanalysisapproach
AT tamenelulseged evaluatingtheeffectsofclimatesmartagriculturalcsapracticesonproductivityadaptationandmitigationindicatorsinethiopiaametaanalysisapproach
AT aberawuletawu evaluatingtheeffectsofclimatesmartagriculturalcsapracticesonproductivityadaptationandmitigationindicatorsinethiopiaametaanalysisapproach