Interannual Hydroclimatic Variability of the Lake Mweru Basin, Zambia

Water

Christopher Annear¹  Erin Bunting²  Peter Waylen³ 

[1] Department of Anthropology, Hobart and William Smith Colleges, Geneva, NY 14456, USA;Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USA;Department of Geography, University of Florida, Gainesville, FL 32611, USA;

关键词: Lake Mweru;    Zambia;    annual precipitation;    lake level;    ENSO;    Indian Ocean dipole;   

DOI  :  10.3390/w11091801

来源: DOAJ

【 摘 要 】

Annual precipitation inputs to the Lake Mweru basin, Zambia, were computed from historic data and recent gridded data sets to determine historic (1925−2013) changes in lake level and their potential impacts on the important fisheries of the lake. The results highlight a period from the early 1940s to the mid-1960s when interannual variability of inputs doubled. Existing lake level data did not capture this period but they did indicate that levels were positively correlated with precipitation one to three years previously, reflecting the hydrologic storage of the lake, the inflowing Luapula River and the upstream Bangweulu wetland complex. Lag cross-correlations of rainfall to El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole were weak and spatially and temporally discontinuous. The two drivers were generally positively correlated and induced opposing effects upon annual precipitation and lagged lake levels. This correlation became non-significant during the time of high observed interannual variability and basin inputs were prone to the vagaries of either driver independently or reinforcing drought/excess conditions. During times of high flows and persistent elevated lake levels, breeding habitat for fish increased markedly, as did nutrition supplied from the upstream wetlands. High hydrologic storage ensures that lake levels change slowly, despite contemporary precipitation totals. Therefore, good conditions for the growth of fish populations persisted for several years and populations boomed. Statistical models of biological populations indicated that such temporally autocorrelated conditions, combined with abundant habitat and nutrition can lead the “boom and bust” of fish populations witnessed historically in Lake Mweru.

【 授权许可】

Unknown