6 research outputs found

    Assessment of farmers’ indigenous knowledge of soil quality management practices in Ghana: A case study of crop farmers in Ada West District

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    The efforts to increase soil productivity has been ?eld-based experiments with little information on farmers’ indigenous knowledge of soil quality acquired through experience. This study assessed farmers’ indigenous knowledge on soil quality and fertility management practices in the Ada West District of Ghana. Two hundred-and-twelve farmers from five communities were interviewed using pre-tested questionnaires. Fifteen farmers each from four communities identified and classified their soil into high, medium and low soil quality. Thirty-six soil samples were collected based on farmers’ categorization and analysed to determine some physicochemical properties to determine the differences in soil quality categories. The Principal Component Analysis (PCA) was used to select effective indicators as the Minimum Data Set (MDS). Results showed that 89% of farmers’ use soil amendments out of which 71.1% combined organic and inorganic fertilizer, 19.6% applied only organic and 9.3% applied only inorganic fertilizer. The soil quality indicators used by farmers were based on visually observable indicators such as soil colour, presence of living organism, soil moisture, vigour plant growth, crop yield, soil texture, presence of plants and weeds, erosion and thickness of topsoil. Farmers’ soil quality categorization was contrary to the laboratory reports although soils from perceived high quality were relatively higher than medium and low. In PC1 electrical conductivity, available phosphorus, organic carbon, organic matter, calcium, and magnesium had a higher positive loading. In PC2, sand and silt had the highest factor loading while clay and sodium had the highest factor loading for PC3 and PC4 respectively. Farmers have good knowledge on soil quality but did not know the rate of soil amendments to apply. Farmers’ indigenous knowledge should be supplemented with scientific soil information. There is need for more training and education on application rates of soil amendments

    Reduced Bacterial Counts from a Sewage Treatment Plant but Increased Counts and Antibiotic Resistance in the Recipient Stream in Accra, Ghana-A Cross-Sectional Study.

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    Wastewater treatment plants receive sewage containing high concentrations of bacteria and antibiotics. We assessed bacterial counts and their antibiotic resistance patterns in water from (a) influents and effluents of the Legon sewage treatment plant (STP) in Accra, Ghana and (b) upstream, outfall, and downstream in the recipient Onyasia stream. We conducted a cross-sectional study of quality-controlled water testing (January-June 2018). In STP effluents, mean bacterial counts (colony-forming units/100 mL) had reduced E. coli (99.9% reduction; 102,266,667 to 710), A. hydrophila (98.8%; 376,333 to 9603), and P. aeruginosa (99.5%; 5,666,667 to 1550). Antibiotic resistance was significantly reduced for tetracycline, ciprofloxacin, cefuroxime, and ceftazidime and increased for gentamicin, amoxicillin/clavulanate, and imipenem. The highest levels were for amoxicillin/clavulanate (50-97%) and aztreonam (33%). Bacterial counts increased by 98.8% downstream compared to the sewage outfall and were predominated by E. coli, implying intense fecal contamination from other sources. There was a progressive increase in antibiotic resistance from upstream, to outfall, to downstream. The highest resistance was for amoxicillin/clavulanate (80-83%), cefuroxime (47-73%), aztreonam (53%), and ciprofloxacin (40%). The STP is efficient in reducing bacterial counts and thus reducing environmental contamination. The recipient stream is contaminated with antibiotic-resistant bacteria listed as critically important for human use, which needs addressing

    The effects of land cover change on carbon stock dynamics in a dry Afromontane forest in northern Ethiopia

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    Abstract Background Forests play an important role in mitigating global climate change by capturing and sequestering atmospheric carbon. Quantitative estimation of the temporal and spatial pattern of carbon storage in forest ecosystems is critical for formulating forest management policies to combat climate change. This study explored the effects of land cover change on carbon stock dynamics in the Wujig Mahgo Waren forest, a dry Afromontane forest that covers an area of 17,000 ha in northern Ethiopia. Results The total carbon stocks of the Wujig Mahgo Waren forest ecosystems estimated using a multi-disciplinary approach that combined remote sensing with a ground survey were 1951, 1999, and 1955 GgC in 1985, 2000 and 2016 years respectively. The mean carbon stocks in the dense forests, open forests, grasslands, cultivated lands and bare lands were estimated at 181.78 ± 27.06, 104.83 ± 12.35, 108.77 ± 6.77, 76.54 ± 7.84 and 83.11 ± 8.53 MgC ha−1 respectively. The aboveground vegetation parameters (tree density, DBH and height) explain 59% of the variance in soil organic carbon. Conclusions The obtained estimates of mean carbon stocks in ecosystems representing the major land cover types are of importance in the development of forest management plan aimed at enhancing mitigation potential of dry Afromontane forests in northern Ethiopia

    Forest Cover Change, Key Drivers and Community Perception in Wujig Mahgo Waren Forest of Northern Ethiopia

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    This study assessed forest cover change from 1985 to 2016, analyzed community perception on forest cover change and its drivers, and suggested possible solutions in northern Ethiopia. Landsat images of 1985, 2000 and 2016, household interviews and focus group discussions were used. While dense forests and open forests increased by 8.2% and 32.3% respectively between 1985 and 2000, they decreased by 10.4% and 9.8% respectively from 2000 to 2016. Grasslands and cultivated land decreased in the first period by 37.3% and 5.5% but increased in the second period by 89.5% and 28.5% respectively. Fuel wood collection, cultivated land expansion, population growth; free grazing, logging for income generation and drought were the major drivers of the change reported by local communities. Soil erosion, reduction in honey bee production, flooding and drought were the most perceived impacts of the changes. Most of the farmers have a holistic understanding of forest cover change. Strengthening of forest protection, improving soil and water conservation, enrichment planting, awareness creation, payment for ecosystem services and zero grazing campaigns were mentioned as possible solutions to the current state of deforestation. In addition, concerted efforts of conservation will ensure that the forests’ ecosystems contribute to increased ecosystem services

    Тыпавая вучэбная праграма для устаноў вышэйшай адукацыі па спецыяльнасці 1-21 03 01 Гісторыя (па накірунках), накірунак спецыяльнасці 1-24 03 01-03 Гісторыя (этналогія)

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    The potential of organic agriculture to contribute to sustainable development in Ghana is unclear. This article assesses the sustainability performance of organic and conventional cocoa farming systems in Ghana. Data was collected from 398 organic and conventional cocoa farmers using the SMART-Farm tool. Compared to conventional cocoa farming systems, we found a higher environmental sustainability performance in organic cocoa farming systems regarding water withdrawal (+29%), species diversity (+26%), land degradation (+24%), genetic diversity (+24%) and greenhouse gases (+22%). The organic farming systems performed better compared to conventional in profitability (+20%) due to market premiums, gender equity (+27%), and verbally committed to sustainability topics (+25%). Agronomic practices had a strong influence on the observed sustainability performance, especially the environmental performance. Typical organic cocoa farming system has small farm sizes, spends more hours weeding manually since chemical weedicides are prohibited and has more diverse crops. Measures to improve performance is paramount for farming systems sustainability
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