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Data on the dynamics of landscape structure and fragmentation in Ambo district, central highlands of Ethiopia.

ABSTRACT: The data presented in this article show changes in land use/land cover and fragmentation of land at a landscape level for a period of 45 years (1973-2018) in Ambo district of the central highlands of Ethiopia. Data generated from satellite images of Multispectral Scanner (MSS), Enhanced Thematic Mapper (ETM) and Operational Land Image (OLI) with path/raw value of 181/54, 169/54 and169/54 for each images respectively were analyzed by Arc GIS 10.1 software using a standard method. The precision of the images were verified by data collected from ground control points by using Geographic Positioning System (GPS) receiver. A raster data of LULC was used as an input in to FRAGSTAT software to analyze fragmentation at the landscape level. The data presented in this article showed that cultivated land and settlement increased by 45.7% (376.5ha/yr) and 111% (78.3ha/yr) for 1973-2018 periods respectively. Forest land, shrub land and bare land shrunk by 38% (147.5ha/yr), 17.1% (88.5ha/yr) and 63.9% (218ha/yr) respectively over the periods considered. Transition matrix indicated that 64781.86ha of land unchanged over the years (1973-2018). Number of patches increased by 143% while largest patch index increased by 226% in the years (1973-2018). In contrast, however, Aggregation index has shown a negative value (9.3%) and other metrics such as SIDI (12) and IJI (8.1) has shown an overall decreasing trend.

SUBMITTER: Obsa F

PROVIDER: S-EPMC7859289 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Data on the dynamics of landscape structure and fragmentation in Ambo district, central highlands of Ethiopia.

Obsa Fanta F Kefale Berhanu B Kidane Moges M Tolessa Terefe T

Data in brief 20210121

The data presented in this article show changes in land use/land cover and fragmentation of land at a landscape level for a period of 45 years (1973-2018) in Ambo district of the central highlands of Ethiopia. Data generated from satellite images of Multispectral Scanner (MSS), Enhanced Thematic Mapper (ETM) and Operational Land Image (OLI) with path/raw value of 181/54, 169/54 and169/54 for each images respectively were analyzed by Arc GIS 10.1 software using a standard method. The precision of ...[more]

PMID: 33553529

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Project description:BackgroundMenstruation is a natural phenomenon which is an indicator of women's health that occurs throughout the reproductive years of every female. This phenomenon is unique to the females and governed by the girl's general health condition, genetic, socioeconomic, and nutritional factors. Although it is a normal physiological process, most females experience some degree of pain and discomfort in their menstruation period. Even though there are limited studies so far reported about the issue in some other parts of the country, there is no scientific evidence in the present study area.ObjectiveTo assess menstrual-associated discomfort and associated factors among undergraduate students in Ambo University, Central Ethiopia, 2018.MethodsInstitution-based cross-sectional study was conducted at Ambo University from 30 March to 30 April 2018. Stratified sampling technique was used and 748 study participants were randomly selected from faculties using a multi-stage sampling procedure. Only data from 713 study participants were entered into EpiData 3.1 and analyzed using SPSS version 20.0 software. Logistic regression was used to associate factors with menstrual-associated discomfort. All statistical tests were considered as significant at a p-value of < 0.05.ResultThe prevalence of menstrual-associated discomfort was found to be 68.6%. The variables age (Being younger) (adjusted odds ratio = 3.9 (95% confidence interval: 1.28, 11.78)), Tigire ethnicity (adjusted odds ratio = 2.4 (95% confidence interval: 1.02, 5.75)), unmarried (adjusted odds ratio = 2.1 (95% confidence interval: 1.21, 3.76)), smokers (adjusted odds ratio = 2.2 (95% confidence interval: 1.12, 4.29)), drinking caffeine (adjusted odds ratio = 1.8 (95% confidence interval: 1.17, 2.74)), amount of flow (adjusted odds ratio = 2.4 (95% confidence interval: 1.28, 4.62)), and duration of pain (adjusted odds ratio = 4.2 (95% confidence interval: 1.93, 9.29)) were significantly associated with menstrual-associated discomfort.ConclusionThis study revealed that majority of the participants was experienced with menstrual-associated discomfort. As the tendency of smoking cigarettes, drinking caffeine, and amount of flow is increased, menstrual associated discomfort is increased. Therefore, specific plan of action and support is urgently needed in order to enlighten and treat menstrual-associated discomfort.

Project description:BackgroundPoor dietary diversity and undernutrition is a major public health concern for pregnant mothers. Optimal dietary diversity is essential during pregnancy since nutritional deficiencies may have a significant impact on both the mother's and the fetus's health. Pregnant women in Ambo district had inadequate dietary diversity and were undernourished, but their status during the first trimester of pregnancy was not known. As a result, the objective of this research was to assess the dietary diversity, nutritional status, and associated factors among pregnant women in the Ambo district.MethodsA community-based cross-sectional study design and a multi-stage sampling technique were used among 750 pregnant women. Data was gathered using a semi-structured questionnaire. The Food and Nutrition Technical Assistance questionnaire was modified to collect data on dietary diversity. The nutritional status of pregnant women was assessed by measuring the mid-upper arm circumference. First, descriptive statistics like mean, Standard deviation, frequency and percentage were used, then bivariable and, finally, multivariable logistic regression analysis was used to assess the association of the predictors with the outcome variable.ResultThe study revealed that 73.6% and 23.9% of pregnant women had low dietary diversity and were undernourished, respectively. Being in food secured household (AOR = 4.44, 95% CI: 2.14-9.15), having good knowledge (AOR = 3.32, 95% CI: 2.10-5.23) and favorable attitude toward nutrition and health (AOR = 1.71, 95% CI: 1.10-2.66) were significantly associated with dietary diversity, whereas household size (having 1-3 household members AOR = 6.59, 95% CI: 2.53-17.21, having 4-5 household members AOR = 5.62, 95% CI: 3.15-9.99), being in food secured household (AOR = 5.64, 95% CI: 2.79-11.38), having high dietary diversity (AOR = 8.49, 95% CI: 2.47-29.23), and having optimal practice on nutrition and health (AOR = 6.85, 95% CI: 3.23-14.55) were significantly associated with undernutrition (P < .05).ConclusionsThe current study revealed that pregnant women in the study area had inadequate dietary diversity practices and a high prevalence of undernutrition. Knowledge and attitude, and households' food security status were the predictors of dietary diversity, while household size, household food security status, dietary diversity and nutrition and health practice were predictors of undernutrition. Hence, behavior change communication needs to be designed to improve the dietary diversity and nutritional status of pregnant women.

Project description:BackgroundEscherichia coli is bacteria that exist as commensal in the intestine of animals and humans, but pathogenic strains cause disease in chickens. The development of antimicrobial resistance in E. coli is one of major concern worldwide. A cross-sectional study was conducted from November, 2015 to April, 2016 in and around Ambo town on backyard chicken with the objectives of isolating E. coli from selected visceral organs, assessment of potential risk factor and determination of antimicrobial resistance pattern of the isolates.ResultsThe overall isolation rate of E. coli was 11.5% (80/694) [95% CI: 9.64-14.61] and 32.5% (62/191) [95% CI: 25.39-39.09] at organ and chicken level, respectively. E. coli isolation rate was 15.2% (29/191), 13.6% (27/191), 6.3% (12/191) and 10.7% (13/121) from spleen, liver, kidney and ovary samples, respectively. The multivariable logistic regression analysis revealed higher probability of E. coli isolation from adult (adjusted Odds ratio [aOR] =2.5, P = 0.013) than younger chickens, from clinically sick chickens (aOR = 3.0, P = 0.003) than apparently healthy. E. coli isolates were 100% susceptible to ciprofloxacin, norfloxacin and sulfamethoxazole-trimethoprim followed by 89-63.4% susceptibility to gentamicin, streptomycin, ceftazidime, nalidxic acid, nitrofurantoin, kanamycin, amikacin and chloramphenicol. Whereas, 100% resistance was observed against cloxacilin, cefotaxime and amoxicillin, whereas 92.7 and 46.3% were resistant to cefuroxime, and tetracycline, respectively. Multidrug resistant (MDR) was observed in 78.1% (64/82) of the isolates which exhibited 5 different MDR patterns to 7 antimicrobial classes.ConclusionsHigher isolation rate of E. coli was observed from visceral organs of chickens. Age and health status were predictors of E. coli isolation. Remarkable numbers of the isolates are resistant to different antimicrobials and multidrug resistant E coli isolates are widespread in the area.

Project description:BackgroundMicrotine species in Fennoscandia display a distinct north-south gradient from regular cycles to stable populations. The gradient has often been attributed to changes in the interactions between microtines and their predators. Although the spatial structure of the environment is known to influence predator-prey dynamics of a wide range of species, it has scarcely been considered in relation to the Fennoscandian gradient. Furthermore, the length of microtine breeding season also displays a north-south gradient. However, little consideration has been given to its role in shaping or generating population cycles. Because these factors covary along the gradient it is difficult to distinguish their effects experimentally in the field. The distinction is here attempted using realistic agent-based modelling.Methodology/principal findingsBy using a spatially explicit computer simulation model based on behavioural and ecological data from the field vole (Microtus agrestis), we generated a number of repeated time series of vole densities whose mean population size and amplitude were measured. Subsequently, these time series were subjected to statistical autoregressive modelling, to investigate the effects on vole population dynamics of making predators more specialised, of altering the breeding season, and increasing the level of habitat fragmentation. We found that fragmentation as well as the presence of specialist predators are necessary for the occurrence of population cycles. Habitat fragmentation and predator assembly jointly determined cycle length and amplitude. Length of vole breeding season had little impact on the oscillations.SignificanceThere is good agreement between our results and the experimental work from Fennoscandia, but our results allow distinction of causation that is hard to unravel in field experiments. We hope our results will help understand the reasons for cycle gradients observed in other areas. Our results clearly demonstrate the importance of landscape fragmentation for population cycling and we recommend that the degree of fragmentation be more fully considered in future analyses of vole dynamics.

Project description:IntroductionTuberculosis (TB) is caused by M. tuberculosis complex and remains a major global public health problem. The epidemic remains a threat to sub-Saharan Africa, including Ethiopia, with further emergence of drug resistant TB. We investigated the drug sensitivity pattern and molecular epidemiology of mycobacterial strains isolated from pulmonary TB patients in and around Ambo town in Oromia Region, Central Ethiopia.MethodsA cross-sectional study was conducted involving 105 consecutive new smear positive pulmonary TB patients diagnosed at Ambo Hospital and surrounding Health Centers between May 2014 and March 2015 upon informed consent. Sputum samples were cultured on Löwenstein-Jensen (LJ) media using standard techniques to isolate mycobacteria. Region of difference 9 (RD9)-based polymerase chain reaction (PCR) and spoligotyping was employed for the identification of the isolates at species and strain levels. The spoligotype patterns were entered into the SITVIT database to determine Octal and SIT (Spoligotyping International Typing) numbers for each strain. The sensitivity of the isolates to isoniazid (INH), rifampicin (RIF), ethambutol (ETB) and streptomycin (STM) was evaluated on LJ-medium with the indirect proportion method.ResultsCultures were positive in 86/105 (82%) of newly diagnosed smear positive pulmonary TB cases. All of the 86 isolates were confirmed as M. tuberculosis. The majority (76.7%) of them were clustered into seven groups while the rest (23.3%) appeared unique. The most predominant Spoligotypes were SIT53 and SIT149, consisting of 24.4% and 20.9% of the isolates, respectively. Assigning of the isolates to family using SPOTCLUST software revealed that 45.3% of the isolates belonged to T1, 23.3% to T3 and 13% to CAS family. The majority (76.7%) of the M. tuberculosis isolates were susceptible to all the four drugs. Any resistance to any one of the four drugs was detected in 23.3% of the isolates. The highest proportion of any resistance was observed against isoniazid (9.3%) and ethambutol (7%). There was only a single case (1.2%) of multidrug resistant/rifampicin resistant (MDR/RR) TB.ConclusionThe majority of the isolates were clustered suggesting on-going active transmission in the study area. Mono resistance is relatively prevalent while the magnitude of MDR/RR-TB was found to be lower than in previous studies.

Project description:BackgroundFollowing global pledges to reduce greenhouse gas (GHG) emissions by 30% by 2030 compared to the baseline level of 2020, improved quantification of GHG emissions from developing countries has become crucial. However, national GHG inventories in most Sub-Saharan African countries use default (Tier I) emission factors (EFS) generated by the Intergovernmental Panel on Climate Change (IPCC) to estimate enteric CH4 emissions from animal agriculture. The present study provides an improved enteric CH4 emission estimate (Tier II) based on animal energy requirements derived from animal characteristics and performance data collected from about 2500 cattle in 480 households from three smallholder farming systems to represent the common dairy farming in the central highlands of Ethiopia. Using average seasonal feed digestibility data, we estimated daily methane production by class of animal and farming system and subsequently generated improved EF.ResultsOur findings revealed that the estimated average EF and emission intensities (EI) vary significantly across farming systems. The estimated value of EF for adult dairy cows was 73, 69, and 34 kg CH4/cow/year for urban, peri-urban, and rural farming systems, respectively. Rural dairy farming had significantly higher emission intensity (EI) estimated at 1.78 CO2-eq per kg of fat protein-corrected milk (FPCM) than peri-urban and urban 0.71 and 0.64 CO2-eq kg-1 FPCM dairy farming systems, respectively. The EF estimates in this study are lower than the IPCC's (2019) default value for both stall-fed high-productive and dual-purpose low-productive cows.ConclusionsThe current findings can be used as a baseline for the national emission inventory, which can be used to quantify the effects of future interventions, potentially improving the country's commitment to reducing GHG emissions. Similarly, this study suggests that increased animal productivity through improved feed has a considerable mitigation potential for reducing enteric methane emissions in smallholder dairy farming systems in the study area.

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Data on the dynamics of landscape structure and fragmentation in Ambo district, central highlands of Ethiopia.

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Data on the dynamics of landscape structure and fragmentation in Ambo district, central highlands of Ethiopia.

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