Vulnerability of crop yields to variations in growing season precipitation in Uganda

Epule, Terence Epule; New, Mark

doi:10.1007/s42452-019-0912-7

Cited by 12 publications

(14 citation statements)

References 77 publications

(121 reference statements)

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“…Furthermore, another study that focused on the vulnerability of maize, cassava, beans, millet, groundnuts, and sweet potatoes agrees with the inverse indirect relationship between vulnerability and adaptive capacity. This study found cassava to be the most vulnerable crop at the national scale and maize the least vulnerable in Uganda [ 10 ]. Also, the fact that different crops are vulnerable across West-Central (Cameroon) to East Africa (Uganda), indicates that a movement from one ecological zone to another is associated with changes in levels of vulnerability as well as in the types of crops that are vulnerable due to differences in climate, soils, and other socio-economic conditions ( Fig 12 ).…”

Section: Discussionmentioning

confidence: 99%

“…Vulnerability is framed as a function of exposure, sensitivity, and adaptive capacity [5,10] Focus on the interactions between crops, climate, and socio-economic drivers [5,10] Adaptive capacity framed based on African realities [5,10] �� used in this current study Source: Authors' conceptualization.…”

Section: Characteristics/citationsmentioning

confidence: 99%

“…The importance of assessing the vulnerability of crops through an index that heralds the role of climatic and non-climatic variables is already gaining grounds in academic scholarship. For example, Epule et al [ 5 ] developed a crop yield vulnerability index for maize yields to droughts in Uganda; this approach was later used by Epule and New [ 10 ], to assess the vulnerability of five crops in 2019 in Uganda. The latter index is currently being tested in this current study in Cameroon.…”

Section: Introductionmentioning

confidence: 99%

“…The index used in this study is mostly applicable in assessing vulnerability of cropping systems to droughts in an African crop production context by incorporating crop yield, climatic and adaptive capacity data. Its effectiveness has been tested mostly on maize, beans, cassava, groundnuts, potatoes, millet, and sweet potatoes in Uganda [ 5 , 10 ]. This approach is advantageous as it can respond to the needs of providing a holistic approach and integrating climatic and socio-economic variables into vulnerability mapping and assessments.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

et al. 2021

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In sub-Saharan Africa growing season precipitation is affected by climate change. Due to this, in Cameroon, it is uncertain how some crops are vulnerable to growing season precipitation. Here, an assessment of the vulnerability of maize, millet, and rice to growing season precipitation is carried out at a national scale and validated at four sub-national scales/sites. The data collected were historical yield, precipitation, and adaptive capacity data for the period 1961–2019 for the national scale analysis and 1991–2016 for the sub-national scale analysis. The crop yield data were collected for maize, millet, and rice from FAOSTAT and the global yield gap atlas to assess the sensitivity both nationally and sub-nationally. Historical data on mean crop growing season and mean annul precipitation were collected from a collaborative database of UNDP/Oxford University and the climate portal of the World Bank to assess the exposure both nationally and sub-nationally. To assess adaptive capacity, literacy, and poverty rate proxies for both the national and regional scales were collected from KNOEMA and the African Development Bank. These data were analyzed using a vulnerability index that is based on sensitivity, exposure, and adaptive capacity. The national scale results show that millet has the lowest vulnerability index while rice has the highest. An inverse relationship between vulnerability and adaptive capacity is observed. Rice has the lowest adaptive capacity and the highest vulnerability index. Sub-nationally, this work has shown that northern maize is the most vulnerable crop followed by western highland rice. This work underscores the fact that at different scales, crops are differentially vulnerable due to variations in precipitation, temperature, soils, access to farm inputs, exposure to crop pest and variations in literacy and poverty rates. Therefore, caution should be taken when transitioning from one scale to another to avoid generalization. Despite these differences, in the sub-national scale, western highland rice is observed as the second most vulnerable crop, an observation similar to the national scale observation.

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Section: Discussionmentioning

confidence: 99%

Section: Characteristics/citationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

et al. 2021

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“…The use of an index that heralds the role of climatic and non-climatic variables is already gaining grounds in academic scholarship. For example, Epule et al [5] developed a crop yield vulnerability index for maize yields to droughts in Uganda; this approach was later used by Epule and New [10] to assess the vulnerability of five crops in 2019 in that country. In the current study this index is tested for several crops to depict sensitivity, exposure and the adaptive capacity in Cameroon.…”

Section: Introductionmentioning

confidence: 99%

Recent Patterns of Exposure, Sensitivity, and Adaptive Capacity of Selected Crops in Cameroon

Epule

2021

Agriculture

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In most parts of sub-Saharan Africa, precipitation is impacted by climate change. In some countries like Cameroon, it is still not clear how maize, millet and rice will respond to changes in growing season precipitation. This work examines the exposure, sensitivity, and adaptive capacity of the above crops to droughts at both the national and sub-national scale. Crop yield data were culled from FAOSTAT while growing season precipitation data were culled from the database of UNDP/Oxford University and the climate portal of the World Bank. Adaptive capacity proxies (literacy, and poverty rate) were collected from KNOEMA and the African Development Bank. The analysis was performed using the vulnerability index equation. Nationally, millet has the lowest vulnerability and rice has the highest. At the sub-national scale, northern maize has the highest vulnerability followed by western highland rice. It is observed that when scales change, the crops that are vulnerable also change. However, at both levels vulnerability has an inverse relationship with adaptive capacity.

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A regional stocktake of maize yield vulnerability to droughts in the Horn of Africa

Epule,

Chehbouni,

Dhiba

et al. 2023

Environ Monit Assess

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Vulnerability of crop yields to variations in growing season precipitation in Uganda

Cited by 12 publications

References 77 publications

Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

Recent Patterns of Exposure, Sensitivity, and Adaptive Capacity of Selected Crops in Cameroon

A regional stocktake of maize yield vulnerability to droughts in the Horn of Africa

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