Agriculture is a backbone of Ethiopian economy, contributing a vital role to food security and employment in rural communities. Climate change and variability have been adversely influenced, challenging the country’s efforts to ensure food security. As a result, this study investigated the association between climate variability and tuber crop yields in southern Ethiopia. Modified Mann-Kendal trend test and coefficient of variation were implemented to examine trend and variability while Seaborne bivariate kernel density was used to assess how climate variability has been related with tuber crop yields. The study has also evaluated the predictive potential of multivariate regression by means of coefficient of determination and root mean square error metrics. The rainfall characteristics showed increasing trend during spring, autumn and annually at a rate of 0.32 mm, 1.67 mm and 0.25 mm, whereas significantly decreasing in summer rainy season at a rate of 0.455 mm/year. Spring and autumn rainfall revealed moderate to high variability, posing risks to rain-fed farming. Days and night time showed increasing trend at a rate of 0.053°C and 0.16°C 1981-2021 period. A reasonable tuber crop yield was harvested with cumulative rainfall ranging from 450.0 to 650.0 mm during the growing season, day and night time temperature was between 23.0-26.0°C and 11.5-14.0°C. When day time temperature above 26.0°C and night time temperature below 11.5°C, sweet potato and taro yields decrease, and harvesting is utterly unexpected. The RF regression model proved to be the best model performing algorithm allowing for optimal yield prediction, assisting farmers and decision makers in better planning crop production and management. The high variability of spring rainfall and the decreasing trend of summer rainfall, combined with an increasing of temperatures, could reduce agricultural productivity, leading to food insecurity. Therefore, the yield of tuber crops can be improved by supplementing the rain-fed farming system with irrigation and applying modern farming techniques and operations by farmers. Moreover, the finding suggests that the need to carefully select plant varieties tolerant to high ambient temperature conditions, which will be more prevalent in the context of climate change. There is a need to intensify adaptation measures to minimize the negative consequences of climate variability to improve the adaptive capacity of sweet potato and taro farmers.
| Published in | American Journal of Environmental and Resource Economics (Volume 10, Issue 2) |
| DOI | 10.11648/j.ajere.20251002.12 |
| Page(s) | 46-64 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Agriculture, Rainfall, Random Forest Regression, Sweet Potato Yields, Taro Yields, Temperature, Variability, Wolaita
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APA Style
Badacho, T. B. (2025). Climate Dynamics and Rain-fed Tuber Crop Yield Cultivated by Small-scale Landowner Under Global Warming in Wolaita Zone Southern Ethiopia. American Journal of Environmental and Resource Economics, 10(2), 46-64. https://doi.org/10.11648/j.ajere.20251002.12
ACS Style
Badacho, T. B. Climate Dynamics and Rain-fed Tuber Crop Yield Cultivated by Small-scale Landowner Under Global Warming in Wolaita Zone Southern Ethiopia. Am. J. Environ. Resour. Econ. 2025, 10(2), 46-64. doi: 10.11648/j.ajere.20251002.12
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Download@article{10.11648/j.ajere.20251002.12,
author = {Tadele Badebo Badacho},
title = {Climate Dynamics and Rain-fed Tuber Crop Yield Cultivated by Small-scale Landowner Under Global Warming in Wolaita Zone Southern Ethiopia
},
journal = {American Journal of Environmental and Resource Economics},
volume = {10},
number = {2},
pages = {46-64},
doi = {10.11648/j.ajere.20251002.12},
url = {https://doi.org/10.11648/j.ajere.20251002.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajere.20251002.12},
abstract = {Agriculture is a backbone of Ethiopian economy, contributing a vital role to food security and employment in rural communities. Climate change and variability have been adversely influenced, challenging the country’s efforts to ensure food security. As a result, this study investigated the association between climate variability and tuber crop yields in southern Ethiopia. Modified Mann-Kendal trend test and coefficient of variation were implemented to examine trend and variability while Seaborne bivariate kernel density was used to assess how climate variability has been related with tuber crop yields. The study has also evaluated the predictive potential of multivariate regression by means of coefficient of determination and root mean square error metrics. The rainfall characteristics showed increasing trend during spring, autumn and annually at a rate of 0.32 mm, 1.67 mm and 0.25 mm, whereas significantly decreasing in summer rainy season at a rate of 0.455 mm/year. Spring and autumn rainfall revealed moderate to high variability, posing risks to rain-fed farming. Days and night time showed increasing trend at a rate of 0.053°C and 0.16°C 1981-2021 period. A reasonable tuber crop yield was harvested with cumulative rainfall ranging from 450.0 to 650.0 mm during the growing season, day and night time temperature was between 23.0-26.0°C and 11.5-14.0°C. When day time temperature above 26.0°C and night time temperature below 11.5°C, sweet potato and taro yields decrease, and harvesting is utterly unexpected. The RF regression model proved to be the best model performing algorithm allowing for optimal yield prediction, assisting farmers and decision makers in better planning crop production and management. The high variability of spring rainfall and the decreasing trend of summer rainfall, combined with an increasing of temperatures, could reduce agricultural productivity, leading to food insecurity. Therefore, the yield of tuber crops can be improved by supplementing the rain-fed farming system with irrigation and applying modern farming techniques and operations by farmers. Moreover, the finding suggests that the need to carefully select plant varieties tolerant to high ambient temperature conditions, which will be more prevalent in the context of climate change. There is a need to intensify adaptation measures to minimize the negative consequences of climate variability to improve the adaptive capacity of sweet potato and taro farmers.
},
year = {2025}
}
TY - JOUR T1 - Climate Dynamics and Rain-fed Tuber Crop Yield Cultivated by Small-scale Landowner Under Global Warming in Wolaita Zone Southern Ethiopia AU - Tadele Badebo Badacho Y1 - 2025/05/09 PY - 2025 N1 - https://doi.org/10.11648/j.ajere.20251002.12 DO - 10.11648/j.ajere.20251002.12 T2 - American Journal of Environmental and Resource Economics JF - American Journal of Environmental and Resource Economics JO - American Journal of Environmental and Resource Economics SP - 46 EP - 64 PB - Science Publishing Group SN - 2578-787X UR - https://doi.org/10.11648/j.ajere.20251002.12 AB - Agriculture is a backbone of Ethiopian economy, contributing a vital role to food security and employment in rural communities. Climate change and variability have been adversely influenced, challenging the country’s efforts to ensure food security. As a result, this study investigated the association between climate variability and tuber crop yields in southern Ethiopia. Modified Mann-Kendal trend test and coefficient of variation were implemented to examine trend and variability while Seaborne bivariate kernel density was used to assess how climate variability has been related with tuber crop yields. The study has also evaluated the predictive potential of multivariate regression by means of coefficient of determination and root mean square error metrics. The rainfall characteristics showed increasing trend during spring, autumn and annually at a rate of 0.32 mm, 1.67 mm and 0.25 mm, whereas significantly decreasing in summer rainy season at a rate of 0.455 mm/year. Spring and autumn rainfall revealed moderate to high variability, posing risks to rain-fed farming. Days and night time showed increasing trend at a rate of 0.053°C and 0.16°C 1981-2021 period. A reasonable tuber crop yield was harvested with cumulative rainfall ranging from 450.0 to 650.0 mm during the growing season, day and night time temperature was between 23.0-26.0°C and 11.5-14.0°C. When day time temperature above 26.0°C and night time temperature below 11.5°C, sweet potato and taro yields decrease, and harvesting is utterly unexpected. The RF regression model proved to be the best model performing algorithm allowing for optimal yield prediction, assisting farmers and decision makers in better planning crop production and management. The high variability of spring rainfall and the decreasing trend of summer rainfall, combined with an increasing of temperatures, could reduce agricultural productivity, leading to food insecurity. Therefore, the yield of tuber crops can be improved by supplementing the rain-fed farming system with irrigation and applying modern farming techniques and operations by farmers. Moreover, the finding suggests that the need to carefully select plant varieties tolerant to high ambient temperature conditions, which will be more prevalent in the context of climate change. There is a need to intensify adaptation measures to minimize the negative consequences of climate variability to improve the adaptive capacity of sweet potato and taro farmers. VL - 10 IS - 2 ER -
Regional Meteorology Coordination Office, Ethiopian Meteorology Institute, Addis Abeba, Ethiopia
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