Unsustainable trade-offs: provisioning ecosystem services in rapidly changing Likangala River catchment in southern Malawi
Provisioning ecosystem services of the Likangala River Catchment in southern Malawi are important for livelihoods of those living there. Remote sensing, participatory mapping and focus group discussions were used to explore the spatio-temporal changes and trade-offs in land-cover change from 1984 to 2013, and how that affects provisioning ecosystem services in the area. Communities derive a number of provisioning ecosystem services from the catchment. Forty-eight species of edible wild animals (including birds), 28 species of edible wild plants and fungi, 22 species of medicinal plants, construction materials, ornamental flowers, firewood, honey, gum, reeds and thatch/weaving grasses were derived from the catchment and used by local communities. These provisioning services are under threat from land-use change within two “hot-spots”, Zomba Mountain and mouth of the river at Lake Chilwa. Zomba Mountain has experienced losses in forests and gains in shrublands, and Lake Chilwa area saw losses of forests, wetlands and shrublands due to increased areas under cultivation. Extrapolation of trends of land cover change in the catchment until 2023 revealed that forests and wetlands will occupy less than 2% of the catchment, while urban areas will grow to over 5% of catchment area. The main driver for land-use change is need for expansion of agricultural land for food production. Participatory mapping and focus group discussions point towards a decline in provisioning services in the catchment and spill-over effects to other catchments. This requires a holistic approach to address the drivers of land-use change for effective management of this ecosystem.
KeywordsEcosystems trade-offs Land-use change Likangala River Livelihoods Long-term change Mapping Participatory GIS
The study was funded through NorthWest University’s Ph.D. bursary. All community members who participated in the mapping and focus group discussions are thanked. Preparation time by PD, PM and CS for the paper was supported by the South African Research Chairs Initiative of the Dept of Science and Technology and the National Research Foundation of South Africa. Any opinion, finding, conclusion or recommendation expressed in this material is that of the authors and the NRF does not accept any liability in this regard.
Compliance with ethical standards
Written informed consent was obtained from the legal authorised representative of participant for publication of the images in (Fig. 3b, d).
- Bennett, E. M., Cramer, W., Begossi, A., Cundill, G., Díaz, S., Egoh, B. N., et al. (2015). Linking biodiversity, ecosystem services, and human well-being: Three challenges for designing research for sustainability. Current Opinions in Environmental Sustainnability., 14, 76–85.CrossRefGoogle Scholar
- Bloomfield, K., & Young, A. (1961). The geology and geomorphology of Zomba mountain. The Nyasaland Journal, 14(2), 54–80.Google Scholar
- Bone, R. A., Parks, K. E., Hudson, M. D., Tsirinzeni, M., & Willcock, S. (2016). Deforestation since independence: A quantitative assessment of four decades of land-cover change in Malawi. Southern Forests: A Journal of Forest Science. https://doi.org/10.2989/20702620.2016.1233777.CrossRefGoogle Scholar
- Coppock, J. T., & Rhind, D. W. (1991). The history of GIS. In P. A. Longley, M. F. Goodchild, D. J. Maguire, & D. W. Rhind (Eds.), Geographical information systems: Principles and applications (Vol. 1, pp. 21–42). New York: Wiley.Google Scholar
- ESRI. (2012). ArcGIS 10.1.Google Scholar
- FAO. (2014). The state of the world’s forest genetic resources; Malawi country report. Online publication available at http://www.fao.org/3/a-i3825e/i3825e 41.pdf. Accessed 17 May 2017.
- FAOSTAT. (2017). FAOSTAT Country Indicators: Malawi. Online publication available at http://www.fao.org/faostat/en/#country/130. Accessed 18 July 2017.
- Hmimina, G., Dufrene, E., Pontailler, J. Y., Delpierre, N., Aubinet, M., Caquet, B., et al. (2013). Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements. Remote Sensing of Environment, 132, 145–158.CrossRefGoogle Scholar
- Ickowitz, A. (2003). Poverty and the environment. In K. Griffin (Ed.), Poverty reduction in Mongolia (pp. 95–112). Canberra: Asia Pacific Press.Google Scholar
- Jensen, J. R. (2005). Digital image processing: A remote sensing perspective (3rd ed.). Upper Saddle River: Prentice Hall.Google Scholar
- Kambewa, D. (2014). Tenure security and land-use in the Lake Chilwa wetlands. In P. Mvula, et al. (Eds.), Towards defragmenting the management system of Lake Chilwa Basin, Malawi (pp. 51–60). Munster: Lit Verlag.Google Scholar
- Lillesand, T., Kiefer, R. W., & Chipman, J. (2014). Remote sensing and image interpretation seventh. New York: Wiley.Google Scholar
- Malawi Government and Satellitbild. (1993). Forest Resources Mapping and Biomass Assessment for Malawi. Ministry of Forestry and Natural Resources (ed.), Satellitbild, a subsidiary of Swedish Space Corporation, Lilongwe, Malawi and Kiruna, Sweden.Google Scholar
- Maloya, H. (2005). There is Wealth in our Wetlands, a Call for their Conservation. Online publication available at http://www.ramsar.org/sites/default/files/documents/library/wwd2005_rpt_malawi1.pdf. Accessed on 17 May 2017.
- Millennium Ecosystem Assessment. (2003). Millennium Ecosystem Assessment: Current State and Trends Assessment. Washington, DC: Island Press.Google Scholar
- Millennium Ecosystem Assessment. (2005). Ecosystems and human well-being: Wetlands and water synthesis. Washington, DC: World Resources Institute.Google Scholar
- National Statistical Office. (1987). Population and Household Census. Zomba: Government of Malawi.Google Scholar
- National Statistical Office. (1998). Population and Household Census. Zomba: Government of Malawi.Google Scholar
- National Statistical Office. (2008). Population and Household Census. Zomba: Government of Malawi.Google Scholar
- Nicholson, E., Mace, G. M., Armsworth, P. R., Atkinson, G., Buckle, S., Clements, T., et al. (2009). Priority research areas for ecosystem services in a changing world. Journal of Applied Ecology, 46(6), 1139–1144.Google Scholar
- Ramsar. (2005). World Wetlands Day Reports: Malawi. Online publication available at: http://www.ramsar.org Accessed May 5, 2017.
- Rayfuse, R., & Weisfelt, N. (Eds.). (2012). The Challenge of Food Security. Cheltenham: Edward Elgar Publishers.Google Scholar
- Rouse, W., Haas, R. H., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS, NASA SP-351. Washington, DC: NASA.Google Scholar
- Sunderlin, W. D., Angelsen, A., & Wunder, S. (2003). Forests and poverty alleviation (pp. 61–73). State of the World’s Forests.Google Scholar
- van Breugel, P., Kindt, R., Lillesø, J.P.B., Bingham, M., Demissew, S., Dudley, C., Friis, I., Gachathi, F., Kalema, J., Mbago, F., Moshi, H.N., Mulumba, J., Namaganda, M., Ndangalasi, H.J., Ruffo, C.K., Védaste, M., Jamnadass, R. and Graudal, L. (2015). Potential Natural Vegetation Map of Eastern Africa (Burundi, Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia). Version 2.0. Forest and Landscape (Denmark) and World Agroforestry Centre (ICRAF). Online publication available at: http://vegetationmap4africa.org. Accessed 8 May 2017.
- World Bank Indicators. (2017). Malawi Population. Online publication available at http://data.worldbank.org/country/malawi. Accessed 17 May 2017.
- Zomba District Council. (2010). Zomba District 2009 Socio Economic Profile. Online publication available at http://geographyfieldwork.com/Malawi/Socio-EconomicProfile.pdf. Accessed 17 May 2017.