Spatiotemporal characteristics and trend analysis of rainfall and temperature in Sidama Regional State, Ethiopia

Ware, Markos Budusa; Matewos, Tafesse; Guye, Mekuria; Legesse, Abiyot; Yimer, Mohammed

doi:10.21203/rs.3.rs-2443038/v1

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…The differences in the prevalence of varroa mites observed across the country may be attributed to various regional factors, such as changes in environmental conditions, seasonal flora of the area, beekeeping management practices and variations in local honey bee subspecies (Giacobino et al, 2017; Hillayová et al, 2022). Although climatic data were lacking in this study, Ethiopia is known for its highly diverse topography, followed by variation in climatic factors (Cheung et al, 2008; Etana et al, 2020; Ware et al, 2023). Such spatial variability in climatic factors, between regions and even between seasons, can create opportunities for the spread of different pests and pathogens beyond their ecological niches if not regularly monitored.…”

Section: Discussionmentioning

confidence: 93%

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Insights into varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

Gela

Atickem

Bezabeh

et al. 2023

J Applied Entomology

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The varroa mite (Varroa destructor) is the most economically important parasitic pest of honey bees (Apis mellifera) that causes global colony decline and loss. Since its first detection in Ethiopia in 2010, little is known about the current infestation levels and contributing factors to the mite's distribution across the country. In this study, we conducted a large‐scale assessment of varroa prevalence and infestation levels in managed colonies across three potential beekeeping regions of Ethiopia; Oromia, Amhara and Southern Nations, Nationalities and Peoples Region (SNNPR). A total of 360 samples from 39 apiaries were collected following standard protocols and the mite prevalence and infestation levels were determined using the established method of varroa research. Overall, 89% of sampled colonies were infested by the mite, with varying prevalence rates across the regions: 95.8% in Oromia, 85.2% in Amhara and 71.9% in SNNPR, indicating the widespread nature of the parasite throughout the country. The varroa infestation levels were lower in local hives (2.6 ± 5.9) than in frame hives (5.0 ± 0.9), and significantly higher in brood bees (5.6 ± 0.8) than in adult bees (1.93 ± 0.17) (p < 0.001). Possible factors contributing to the varied mite prevalence and infestation levels in the country include differences in agro‐ecology, beekeeping practices, host age preference and the nature of bee hives. Therefore, our study provides insights into the current status of varroa prevalence and associated factors across regions in Ethiopia. Further investigation is required to explore the probable impact of the parasite on the health and productivity of local honey bees, in order to design future monitoring strategies.

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Section: Discussionmentioning

confidence: 93%

“…Although climatic data were lacking in this study, Ethiopia is known for its highly diverse topography, followed by variation in climatic factors (Cheung et al, 2008;Etana et al, 2020;Ware et al, 2023).…”

Section: Adult Beesmentioning

confidence: 99%

Insights into varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

Gela

Atickem

Bezabeh

et al. 2023

J Applied Entomology

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“…As rainfall is the most important meteorological element, it directly affects the socio-economic and food security conditions of a society depending on rain-fed agriculture. Because human-induced climate variability and change have detrimental effects on socio-economic activities such as livelihood, food security, and health (Budusa- Ware et al, 2023), the rainfall trend and projection information in the Amhara regional state of Ethiopia will be crucial for implementing climate change adaption and mitigation strategies in the region. Thus, documented spatiotemporal historical trends and future projections of the rainfall amount of the Amhara regional state of Ethiopia are useful information inputs in policy making and water resources planning and management.…”

Section: Relevance Of the Studymentioning

confidence: 99%

Historical Trend Analysis and Future Projections of Rainfall in Amhara, Ethiopia

Mekoya,

Molla,

Workneh

et al. 2024

East Afr. j. for. agrofor.

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North-western Ethiopia has the greatest potential for lowland bamboo forest resources. The bamboo forest surrounding the region is important for ecological and economic reasons. However, no specific studies have been conducted to determine the variations of biomass and carbon in lowland bamboo forests across different parts of bamboo culms in both plantations and natural forests. Therefore, the main goal of this study was to know the variation of the above-ground biomass and carbon storage of lowland bamboo (Oxytenathera abyssinica) in different vegetative parts of the culm in the Pawe district, in both natural and planted forests. A total of 108 bamboo culms were destructively sampled (54 from plantations and 54 from natural forests). The samples were then separated into three parts: the culm, the branch, and the leaf portion. Each part's total fresh weight and sample fresh weight were immediately determined. The samples were placed in a paper bag and transported to the laboratory for analysis of their dry weight. The data was analyzed using R software for descriptive statistics to examine biomass variations among vegetative parts and age classes of natural and plantation bamboo forests. Managed bamboo forests show a 17% increase in total biomass production compared to natural forests. The medium-aged bamboo group accumulated more above-ground biomass than the younger and older age groups in both forest types, while density increased with age

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“…Te CV was used to evaluate the seasonal and annual rainfall dynamics for the observation period [8,38,41]. According to Hare [3], the extent of rainfall dynamics is classifed as high (CV > 30), moderate (20 < CV < 30), and low (CV < 20).…”

Section: Coefcient Of Variation (Cv)mentioning

confidence: 99%

Temporal Dynamics and Trend Analysis of Areal Rainfall in Muger Subwatershed, Upper Blue Nile, Ethiopia

Moshe,

Beza

2024

Advances in Meteorology

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This study was employed to investigate the temporal variability and trend analysis of areal rainfall in the Muger subwatershed, Upper Blue Nile, Ethiopia. The study was run over the following procedures to handle the main objective: (1) determining the areal rainfall from gauged point rainfall using the Thiessen polygon method, (2) grouping the months in the season according to the study area, (3) evaluating the temporal dynamics of annual and seasonal areal rainfall using the coefficient of variation (CV), standard anomaly index (SAI), and precipitation concentration index (PCI), and (4) analyzing the trend of annual and seasonal areal rainfall using modified Mann–Kendall’s (modifiedmk) test in RStudio. Based on the temporal variability analysis, CV results depict that annual and summer areal rainfall had low variability with values of 13.43% and 13.7%, respectively. Winter and spring areal rainfall shows high variation with a CV value of 50.5% and 36%, respectively. According to the SAI output, around 70% of the considered year was in the normal condition of wetness. On the other hand, the seasonal (winter, spring, and summer) rainfall distribution of the study area shows strong irregularity distribution throughout the considered years as a result of PCI with a value of 57.5%. The trend of the areal rainfall was shown to be both increasing and decreasing. However, the trend was insignificant with a 10% confidence level.

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Spatiotemporal characteristics and trend analysis of rainfall and temperature in Sidama Regional State, Ethiopia

Cited by 3 publications

References 35 publications

Insights into varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

Insights into varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

Historical Trend Analysis and Future Projections of Rainfall in Amhara, Ethiopia

Temporal Dynamics and Trend Analysis of Areal Rainfall in Muger Subwatershed, Upper Blue Nile, Ethiopia

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