Assessment and prediction of the climate change impact on crop yield, in Jimma Zone Upper Gilgel Gibe Districts, Ethiopia

Sime, Chala Hailu; Demissie, Tamene Adugna

doi:10.1007/s12517-022-09605-2

Cited by 13 publications

(10 citation statements)

References 53 publications

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“…In contrast, this study found that Tmax had a negative impact on sorghum yield since the regression coe cient was assessed to be signi cantly (99% con dence level) negative (-0.19). The same ndings have been established by Singh et al [103] , Prasad et al [104] , Chadalavada et al [2] , Bekuma Abdisa et al [16] , Sime and Demissie [105] , and Araya et al [18] . The increased Tmax accelerates evapotranspiration and respiratory rates, shortens the growing season, and reduces granular (seed) number and size, resulting in reduced yields [106,107].…”

Section: Impact Of Climate Change During 41-yr Period (1980 To 2020) ...supporting

confidence: 78%

Crop-climate link in the southeastern USA: A case study on Oats and Sorghum

Sharma

Dhillon

Kumar

et al. 2022

Preprint

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Recognizing the crop and region-specific irreversible effects of climate change on agriculture is unavoidable. The Southeastern United States region (SE-US) contributes significantly to the United States (US) economy through its diverse agricultural productivity. Climatically, this region is more vulnerable than the rest of the country. This study was designed to quantify the effect of changing climate, i.e., daily maximum temperature (Tmax), daily minimum temperature (Tmin), and precipitation, on oats (Avena sativa L.) and sorghum (Sorghum bicolor L. Moench) in SE-US. The panel data approach with a fixed effects model was applied by creating a production function on a panel dataset (1980–2020) of climate and yield variables. The required diagnostic tests were used to statistically confirm that the dataset was free of multi-collinearity, stationarity, and auto-correlation issues. The results revealed asymmetric warmings (Tmin increase > Tmax increase) over the region. Tmax and Tmin significantly increased during the oats growing season (OGS) and sorghum growing season (SGS). Precipitation increased during OGS and decreased during SGS. The annual average values of Tmax, Tmin, and Tavg (daily average temperature) have shifted by 1.08°C (0.027°C/year), 1.32°C (0.033°C/year), and 1.20°C (0.030°C/year) in OGS and by 0.92°C (0.023°C/year), 1.32°C (0.033°C/year), and 1.12°C (0.028°C/year) in SGS. However, precipitation had shifted by 23.2 mm (0.58 mm/year) in OGS and shifted (decreased) by -5.2 mm (-0.13 mm/year) in SGS. Precipitation had a non-significant effect on oats and sorghum yields. With every 1°C increase in Tmin and Tmax, oats yield was reduced by (-5%) and (-4%), respectively, whereas sorghum yield was increased by (+ 13%) and decreased by (-7%), respectively. Taken together, a 1°C net rise in overall temperature reduced oats yield (-9%) while increased sorghum yield (+ 6%).

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Section: Impact Of Climate Change During 41-yr Period (1980 To 2020) ...supporting

confidence: 78%

Crop-climate link in the southeastern USA: A case study on Oats and Sorghum

Sharma

Dhillon

Kumar

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…The daily temperature ranges from 18-23 with annual rainfall ranging from 1300-2100 mm. According to Sime and Demissie 31 , the zoneʼs entire land area is about 18,696.70 km 2 .…”

Section: Study Area Descriptionmentioning

confidence: 99%

Assessment of Irrigated Wheat Production in Western Oromia, Ethiopia: The Case Constraints and Swot Analysis

Degefa¹,

Feyisa²,

Tadese³

2023

Trends in Agricultural Economics

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Background and Objective: The population growth and changing food preferences in Ethiopia have resulted in an increasing demand for wheat which results in the expansion of irrigated wheat production to ensure food self-sufficiency. This expansion of irrigated wheat production for sustainability needs the identification of potential stakeholders with their roles and constraints. Besides, Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis is also very important. Materials and Methods: The study was conducted at Jimma, Bunno Bedelle and East Wollega Zones of Western Oromia. Focus group discussions and key informant interviews with farmers, experts and unions were used. Descriptive statistics were employed to analyze the collected data. Results: Further expansion constraints like unavailability of inputs with skyrocketing prices, poor irrigation schemes performance, biotic stresses, insufficient farmersʼ skills and knowledge of the technologies, lack of financial sources, lack of local reliable market and shortage of modern schemes were identified as the major constraints to irrigated wheat production. The SWOT analysis has been done, showing the strengths, weaknesses, opportunities and threats of irrigated wheat production. Conclusion: This new initiative knowledge should be useful through developing a regular input supply system, improving farmerʼs skills and knowledge, credit access to farmers, developing modern schemes, developing new disease-resistant varieties and strengthening market linkage by experts, policymakers, researchers and seed enterprise for better orienting investments on irrigated wheat production.

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“…For both rainfall and air temperature, the selected RCMs were: RACMO22T, HIRHAMS, CCLM4-8, and RCA4 models derived by (ICHE EARTH-EC CORDEX Africa) (table 2). The study by (Giorgi et al 2012, Nikulin et al 2012, Demissie and Sime 2021, Sime and Demissie 2022 suggest that RACMO22T, HIRHAMS, CCLM4-8, and RCA4, among other CORDEX Africa RCMs, can be useful tools for simulating climate conditions over Africa and Ethiopia. Indicated that these models are well performed in Ethiopia.…”

Section: Data Used and Data Sourcementioning

confidence: 99%

“…Indicated that these models are well performed in Ethiopia. Sime and Demissie (2022), show the performance of these models and used them for an impact study over South West Ethiopia. (Dibaba et al 2019) also show the performance of these models over two different watersheds.…”

Section: Data Used and Data Sourcementioning

confidence: 99%

Historical simulations of temperature and precipitation from the CORDEX Africa model in the Wabi Shebele Basin

Alemu,

Sime,

Demissie

2023

Environ. Res.: Climate

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Rising global temperatures and shifting precipitation patterns have significant socio-economic consequences if not properly studied and predicted. Regional climate models (RCMs) are utilized to assess local-scale climate change. However, the reliability of individual models must be validated due to inherent limitations and methodological constraints. This study evaluates the performance of CORDEX Africa RCMs using observed rainfall and air temperature data from 1986 to 2005. Model performance was evaluated using statistical indicators such as bias, RMSE, r, MAE, and a concise plot of the statistical indicators which is Taylor’s diagram. In rainfall simulation, the RACMO22T performed admirably in the upper parts of the basin (region of high rainfall and cold temperature) and lower regions of the basin (region of low rainfall and hot temperature) with bias −8.64% and 6.19% respectively. HIRHAM5 and CCLM4-8 simulate well the maximum temperature in the upper parts with biases of (0.14 °C and −0.14 °C respectively), whereas RCA4 is well performed in the lower parts of the basin. CCLM4-8 is good for minimum temperature simulation in the upper parts, but HIRHAM5 and RCA4 are good in the lower parts of the basin. In rainfall simulation, all models are slightly good in dry months than in wet. All models underestimated the maximum temperature and overestimated the minimum temperature in the study area as compared to the observed.

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Assessment and prediction of the climate change impact on crop yield, in Jimma Zone Upper Gilgel Gibe Districts, Ethiopia

Cited by 13 publications

References 53 publications

Crop-climate link in the southeastern USA: A case study on Oats and Sorghum

Crop-climate link in the southeastern USA: A case study on Oats and Sorghum

Assessment of Irrigated Wheat Production in Western Oromia, Ethiopia: The Case Constraints and Swot Analysis

Historical simulations of temperature and precipitation from the CORDEX Africa model in the Wabi Shebele Basin

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