Characterization of variability and trends in daily precipitation and temperature extremes in the Horn of Africa

Afuecheta, Emmanuel; Omar, M. Hafidz

doi:10.1016/j.crm.2021.100295

Cited by 13 publications

(11 citation statements)

References 44 publications

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“…Most studies on climate variability in East Africa focus on rainfall rather than temperature (Shongwe et al, 2011;Anyah and Qiu, 2012;Nicholson, 2014). Contrary to Alidoost et al (2019) and Afuecheta and Omar (2021), we argue that not all climate variability observed is harmful to agricultural outputs, but only when such variability exceeds a certain threshold. To study this, we consider a regime in which climatic factors produce extreme-weather events.…”

Section: Introductionmentioning

confidence: 61%

“…Rather we considered these agricultural products similarly to Adhikari et al (2015), who reviewed the impact of climate change on 14 strategic crops in eight sub-Saharan Africa countries. Afuecheta and Omar (2021) is another study that considers more than one agricultural product.…”

Section: Data Descriptionmentioning

confidence: 99%

“…This paper is one of the first to model the relation between crop yield, production and climate variables by making use of the timevarying copula technique in East Africa. Afuecheta and Omar (2021) have been the only researchers to use copulas in Africa and East Africa to study the dependence structure of climate variability in temperature and precipitation with crops related variables (yield and production). The findings reveal that climatic factors and most of the crops variables (yield/production) show strong dependence.…”

Section: Introductionmentioning

confidence: 99%

“…Second, this paper assesses the impact of the extreme-weather events on agricultural output in East Africa by using rainfall and temperature, similarly to Afuecheta and Omar (2021). Most studies on climate variability in East Africa focus on rainfall rather than temperature (Shongwe et al, 2011;Anyah and Qiu, 2012;Nicholson, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Risk Spill-Over between Climate Variables and the Agricultural Commodity Market in East Africa

et al. 2022

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Section: Introductionmentioning

confidence: 61%

Section: Data Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk Spill-Over between Climate Variables and the Agricultural Commodity Market in East Africa

et al. 2022

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“…The global mean temperature is increasing, reducing agricultural yield and threatening people's livelihoods [1]. An increase in global warming can reduce agricultural yields and threaten food security [2]. Declining agricultural yields expose farming communities to food insecurity and malnutrition; when the agricultural system is exposed to climate extremes, it reduces yield production and aggravates community vulnerability, while having adaptive capacity, the vulnerability of the communities to climate change will be minimized.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Perception and Vulnerability Assessment of the Farming Communities in the Wettest Parts of Ethiopia

Gemeda¹,

Dadi²,

Garedew³

2023

Preprint

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This study assesses the perception and vulnerability of the farming communities to climate change in the southwestern parts of Ethiopia. Data were collected from 442 households in four districts: Jimma Arjo, Bako Tibe, Chewaka, and Sekoru. The vulnerability of the farming communities was assessed using the households’ livelihood vulnerability index. A total of 40 indicators were applied to calculate household livelihood vulnera-bility to climate change, which were categorized into five major capitals: natural, social, financial, physical, and human. The household percep-tions of climate change results showed that there existed a statistically significant relationship between climate change perceptions and changes in rainfall pattern (75.6%, p<0.001), temperature pattern (69.7%, p<0.001), drought (41.6%, p=0.016), flood (44.1%, p=0.000), and occurrence of early (53.2%, p<0.001) and late rain (55.9%, p<0.001). The results showed that households in Sekoru district were the most vulnerable (0.61), while Jimma Arjo district were less vulnerable (0.47) to the effect of climate change. The vulnerability of the households in the study areas is mainly related to the occurrence of drought, lack of much-needed infrastructure facilities and weak institutional support. Links with the financial organization are also lacking among the household. The findings of this study will support policymakers to design climate change adap-tation strategies to combat climate change impacts. To support disaster risk management on the one hand and increase the resilience of vulnera-ble societies to climate change on the other hand, we recommend a detailed assessment in the remaining districts of the region.

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Historical changes of extreme temperature in relation to soil moisture over different climatic zones of Iran

Anvari,

Moghaddasi

2023

Stoch Environ Res Risk Assess

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Characterization of variability and trends in daily precipitation and temperature extremes in the Horn of Africa

Cited by 13 publications

References 44 publications

Risk Spill-Over between Climate Variables and the Agricultural Commodity Market in East Africa

Risk Spill-Over between Climate Variables and the Agricultural Commodity Market in East Africa

Climate Change Perception and Vulnerability Assessment of the Farming Communities in the Wettest Parts of Ethiopia

Historical changes of extreme temperature in relation to soil moisture over different climatic zones of Iran

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