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Stable Isotopes Reveal Nitrogen Loading to Lake Tanganyika from Remote Shoreline Villages

Author

Listed:
  • Brianne Kelly

    (Wright State University, Department of Biological Sciences)

  • Emmanuel Mtiti

    (Lake Tanganyika Catchment Reforestation and Education Program, The Jane Goodall Institute)

  • Peter B. McIntyre

    (University of Wisconsin, Center for Limnology)

  • Yvonne Vadeboncoeur

    (Wright State University, Department of Biological Sciences)

Abstract

Access to safe water is an ongoing challenge in rural areas in Tanzania where communities often lack access to improved sanitation. Methods to detect contamination of surface water bodies, such as monitoring nutrient concentrations and bacterial counts, are time consuming and results can be highly variable in space and time. On the northeast shore of Lake Tanganyika, Tanzania, the low population density coupled with the high potential for dilution in the lake necessitates the development of a sensitive method for detecting contamination in order to avoid human health concerns. We investigated the potential use of nitrogen and carbon stable isotopes of snail tissues to detect anthropogenic nutrient loading along the northeast shore of Lake Tanganyika. δ15N of snails was positively related to human population size in the nearest village, but only for villages with >4000 inhabitants. The areal footprint of villages within their watershed was also significantly correlated with snail δ15N, while agricultural land use and natural vegetation were not. Dissolved nutrient concentrations were not significantly different between village and reference sites. Our results indicate that nitrogen isotopes provide a sensitive index of local nutrient loading that can be used to monitor contamination of oligotrophic aquatic environments with low surrounding population densities.

Suggested Citation

  • Brianne Kelly & Emmanuel Mtiti & Peter B. McIntyre & Yvonne Vadeboncoeur, 2017. "Stable Isotopes Reveal Nitrogen Loading to Lake Tanganyika from Remote Shoreline Villages," Environmental Management, Springer, vol. 59(2), pages 264-273, February.
  • Handle: RePEc:spr:envman:v:59:y:2017:i:2:d:10.1007_s00267-016-0787-y
    DOI: 10.1007/s00267-016-0787-y
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