Annual water, sediment, nutrient and organic carbon fluxes in river basins: a global meta-analysis as a function of scale
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Mutema, M.; Chaplot, V.; Jewitt, G.; Chivenge, P.; Bl?schl, G. 2015. Annual water, sediment, nutrient and organic carbon fluxes in river basins: A global meta-analysis as a function of scale. Water Resources Research, 51(11):8949-8972,
Permanent link to cite or share this item: http://hdl.handle.net/10568/76705
External link to download this item: http://onlinelibrary.wiley.com/doi/10.1002/2014WR016668/full
Process controls on water, sediment, nutrient, and organic carbon exports from the landscape through runoff are not fully understood. This paper provides analyses from 446 sites worldwide to evaluate the impact of environmental factors (MAP and MAT: mean annual precipitation and temperature; CLAY and BD: soil clay content and bulk density; S: slope gradient; LU: land use) on annual exports (RC: runoff coefficients; SL: sediment loads; TOCL: organic carbon losses; TNL: nitrogen losses; TPL: phosphorus losses) from different spatial scales. RC was found to increase, on average, from 18% at local scale (in headwaters), 25% at microcatchment and subcatchment scale (midreaches) to 41% at catchment scale (lower reaches of river basins) in response to multiple factors. SL increased from microplots (468 g m?2 yr?1) to plots (901 g m?2 yr?1), accompanied by decreasing TOCL and TNL. Climate was a major control masking the effects of other factors. For example, RC, SL, TOCL, TNL, and TPL tended to increase with MAP at all spatial scales. These variables, however, decreased with MAT. The impact of CLAY, BD, LU, and S on erosion variables was largely confined to the hillslope scale, where RC, SL, and TOCL decreased with CLAY, while TNL and TPL increased. The results contribute to better understanding of water, nutrient, and carbon cycles in terrestrial ecosystems and should inform river basin modeling and ecosystem management. The important role of spatial climate variability points to a need for comparative research in specific environments at nested spatiotemporal scales.
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