3 research outputs found
Effects of livestock on water quality and the related health risks in Taita Hills, Kenya
No full textA study was conducted to understand how livestock watering in small shareholder systems in Taita Hills, Kenya influence water quality, and in turn how this may relate to human health risks. Water samples were analysed for temperature, pH, electrical conductivity (EC), dissolved oxygen (DO), total suspended solids (TSS), nutrients, total dissolved substances (TDS), dissolved organic carbon (DOC) and E.coli from river points and water pans in areas with varied different livestock and human population densities between the 29th of October 2018 and the 21st of December 2018 in. The sampling points included 4 water pans used for livestock watering and 14 river livestock points with high livestock densities and low human population areas, 6 river livestock watering points in regions with low livestock population areas and high human population and 48 non-livestock points and low human population areas. Semi structured interviews were also conducted in 78 households in regions near the livestock watering points and sanitary inspections for domestic water sources conducted. Water samples were collected from the interviewed household in which E.coli was measured to quantify the risk of contracting diseases from pathogenic E.coli. It was established that livestock watering led to poor water quality by causing higher pH, EC, nutrients (NH4+- N and NO3-- N), DOC, TDN and TDN in addition to causing DO saturation below equilibrium. It was also established that High human population has a similar effect of contaminating surface water sources in the same extent as livestock. The risk of household water contamination was high in regions where a majority of the people fetched water from livestock watering holes and, even though some of them conducted additional treatment of water at the household level, most of the treatments were not efficient. Considering the results, there was a need to put in place proper management measures for surface water source to reduce the effect of pollution on the environment and people. The results also suggested the need to put in place measure that will ensure people get access to clean and affordable water to reduce the health risks associated with the pollution of surface waters by livestock
Effects of land use and livestock watering on greenhouse gas emissions and water quality in rivers and water pans in tropical highland and semi-arid agroecosystems in Taita-Taveta County, Kenya
No full text
<p>Economic development and food insecurity are an important drivers of land use change in tropical ecosystems.  In sub-Saharan Africa, forest and wetland conversion to agriculture and zero-grazing policies are common in highland systems, while livestock-dominated agricultural systems are more common in the drier, semi-arid low-land systems. Greenhouse gasses (GHG) from aquatic ecosystems is increasingly appreciated as missed sources of emissions from agricultural and forested landscapes, and rivers and artificial watering pans are used for livestock watering in these systems. They therefore receive manure and urea, making them potential hotspots for greenhouse gas (GHG) emissions through biogeochemical processing, but the role of livestock has not yet been examined. We performed 4 synoptic surveys for GHG concentration and fluxes in rivers in the Taita Hills and in water pans in the semi-arid region low-lands of Taita-Taveta County, Kenya in October–December 2019, which spanned the transition of short rainy season to the dry season. We also measured water-quality parameters and related them to GHG emissions in order to assess the biogeochemical processes likely responsible for the emissions in each system type. There were 9 agricultural streams (no livestock), 8 livestock streams, and 4 water pans. Results showed ten times higher CH<sub>4</sub> and N<sub>2</sub>O  fluxes in the water pans compared to river systems (~4 vs. 40 mmol CH­<sub>4</sub> m<sup>-2</sup>day<sup>-1</sup> and ~4 vs. 30 mmol N<sub>2</sub>O m<sup>-2</sup>day<sup>-1</sup>)  while CO­<sub>2</sub> emissions were two times higher in the agricultural streams (~110 vs. 60 mmol CO<sub>2</sub> m<sup>-2</sup>day<sup>-1</sup>). Water pans also showed higher dissolved organic carbon (DOC) concentration and higher dissolved nitrogen and phosphorus (TDN and TDP) and lower dissolved oxygen (DO) concentrations than river systems. There was a significant positive relationship between pCO2 and fine benthic organic matter (FBOM) in livestock streams but no relationship with DOC, suggesting that increased sediment respiration from livestock may be responsible for CO­<sub>2</sub> emission. In river systems, there was also a positive relationship between CH<sub>4</sub> and CO<sub>2</sub>, which indicated that methane production from CO<sub>2</sub> was a controlling mechanism. This contrasted with CH<sub>4</sub> production in water pans which was related to primary production and organic inputs from livestock. N<sub>2</sub>O also showed different processes in riverine and water pan systems, with nitrification appearing to be more important in river systems, evidenced by the negative relationship of N<sub>2</sub>O production with DOC and a positive relationship with CO<sub>2</sub>. In water pans, N<sub>2</sub>O was negatively related to NO<sub>3­­</sub>, dissolved oxygen, and DOC. In addition, more negative fluxes of N<sub>2</sub>O occurred in water pans than the other sites, which suggests complete denitrification of N<sub>2</sub>O to N<sub>2</sub>.  Diurnal measurements also indicated that fluxes were positively related to livestock density; however this effect was more pronounced in the drier season and under low discharge. Water pans were also hotspots in the landscape for CH<sub>4</sub> and N<sub>2</sub>O emissions, showing 10 – 1000 times greater emission than the surrounding landscape. Further research should examine the water pans and riverine watering holes as distinct features with the potential to impact greenhouse gas emissions from agricultural landscapes.</p>
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