ABSTRACT
Understanding the spatiotemporal dynamics of climatic conditions within a region is paramount for informed rural planning and decision-making processes, particularly in light of the prevailing challenges posed by climate change and variability. This study undertook an assessment of the spatial and temporal patterns of rainfall trends across various agro-ecological zones (AEZs) within Wolaita, utilizing data collected from ten strategically positioned rain gauge stations. The detection of trends and their magnitudes was facilitated through the application of the Mann-Kendall (MKs) test in conjunction with Sen's slope estimator. Spatial variability and temporal trends of rainfall were further analyzed utilizing ArcGIS10.8 environment and XLSTAT with R programming tools. The outcomes derived from ordinary kriging analyses unveiled notable disparities in the coefficient of variability (CV) for mean annual rainfall across distinct AEZs. Specifically, observations indicated that lowland regions exhibit relatively warmer climates and lower precipitation levels compared to their highland counterparts. Within the lowland AEZs, the majority of stations showcased statistically non-significant positive trends (p > 0.05) in annual rainfall, whereas approximately two-thirds of midland AEZ stations depicted statistically non-significant negative trends. Conversely, over half of the stations situated within highland AEZs displayed statistically non-significant positive trends in annual rainfall. During the rainy season, highland AEZs experienced higher precipitation levels, while the south-central midland areas received a moderate amount of rainfall. In contrast, the northeast and southeast lowland AEZs consistently received diminished rainfall across all seasons compared to other regions. This study underscores the necessity for the climate resilient development and implementation of spatiotemporally informed interventions through implementing region-specific adaptation strategies, such as water conservation measures and crop diversification, to mitigate the potential impact of changing rainfall patterns on agricultural productivity in Wolaita.
ABSTRACT
BACKGROUND: Traditional medical practices have been used to maintain animal health for millennia and have been passed down orally from generation to generation. In Ethiopia also, plants are the primary means by which the indigenous people in remote areas treat the illnesses of their animals. The present study was therefore, carried out to document the type and distribution of medicinal plants of the county. METHODS: To collect ethnobotanical information, a total of 205 informants (133 men and 72 women) were selected. Among these 121 traditional medicine practitioners, while the remaining 84 were selected through a systematic random sampling method. Ethnobotanical data were collected between January 2023 and August 2023 through semi-structured interviews, participant observation, guided filed walks and focus group discussions. Using descriptive statistics, the ethnobotanical data were analyzed for the Informant Consensus Factor (ICF) and Fidelity Level (FL) values, preference, and direct matrix rankings. SPSS 26.0 and PAST 4.11 software were used in data analysis. RESULTS: Totally, 78 ethnoveterinary medicinal plants distributed in 36 families were identified in the study area. Asteraceae was the dominant family with 9 species (14%), followed by Euphorbiaceae with 8 species (12%). Herbs 42(56%), wild collected 62 (66%), and leaf part (52%) made the highest share of the plant species. Hordeum vulgare L. had the highest fidelity level (FL = 98%) for treating bone fractures. Blackleg, bloat, and endoparsistes each had the highest values of the consensus factor among the informants (ICF = 1). According to preference ranking, Withania somnifera was the most potent remedy for treating blackleg. Knowledge of medicinal plants was shared through storytelling within families. CONCLUSION: In the study area, there is broad access to traditional medicinal plants that can treat ailments in animals. Conservation efforts should be prioritized to protect medicinal plants from threats such as agricultural expansion, drought, and development. Further research should be conducted to explore the potential of different medicinal plants for treating common livestock ailments.
Subject(s)
Ethnobotany , Livestock , Medicine, African Traditional , Plants, Medicinal , Ethiopia , Humans , Male , Female , Animals , Phytotherapy/veterinary , Adult , Middle Aged , AgedABSTRACT
Introduction: A wide range of floral resources are used in Ethiopia for primary healthcare. Unfortunately, due to inadequate documentation and the fact that they were verbally passed down from one generation to the next, these indigenous medicinal practices are being forgotten. The study's goal was to identify and record indigenous peoples' traditional knowledge of plant usage in the Abala Abaya District of Wolaita, Ethiopia. Methods: The collection of ethnobotanical data used a cross-sectional research design involving focus group discussions and semistructured questionnaires between January 2021 and April 2022. From each selected kebele (ward; smallest administrative unit), 50 informants (a total of 200) were selected as representative sample using a systematic random sampling technique. Results: More than 50 different human and animal illnesses have been documented to be treated by seventy-two species of plants grouped in thirty-two families. The most abundant families were Poaceae and Asteraceae (8 taxa in each). The two most often used plant parts were leaf (29%) and herbs (54%), respectively. Oral administration was the most typical mode of delivery (75%). For treating stomachache in the category of gastrointestinal illnesses, Hagenia abyssinica (Bruce) J.F.Gmel got the greatest fidelity level scores (FL = 100%). Conclusions: In Abala Abaya District, there is broad access to traditional medicinal plants that can treat ailments in both humans and animals. This study, therefore, might be a baseline piece of information for further botanical related studies in the region. Plants with the highest FL values are highly recommended for novel drug discovery.
