Abstract:
From July to October 2009 different methods for the measurement of suspended sediment yield and related particulate carbon (C) and nitrogen (N) loss were investigated in a mountainous cloud forest catchment in South-Ecuador. Humid mountainous regions in the tropics are often characterized by highly variable discharge, high rainfall erosivity and geomorphic instability which result in a greatly increased erosion risk. Additionally this danger is enhanced in the studied catchment by the conversion of cloud forests to pasture and crop land as well as landslides caused by road construction. To be able to quantify suspended sediment yield and the associated particulate organic carbon (POC) and nitrogen (NOC) export, a direct approach of suspended sediment sampling, gravimetric ascertainment of the quantity and C and N analysis was combined with the application of two different turbidity sensors. The first one, a ViSolid sensor (WTW, Weilheim, Germany), was set up at the catchment outlet. The second one, a TSS Portable sensor (Hach Lange, Düsseldorf, Germany), was used as a mobile hand held unit. Relations from correlation and regression analysis between suspended sediment concentration and discharge and turbidity respectively made it possible to calculate first extrapolations of yearly suspended sediment yield between 26,5 t ha-1 and 46,3 t ha-1. These numbers are clearly below the global average of 200 t suspended sediment ha-1 a-1. For POC export, the results were between 272,8 kg ha-1 a-1 and 446,9 kg ha-1 a-1 and for NOC export between 21,2 kg ha-1 a-1 and 34,7 kg ha-1 a-1. The PON value fits to literature data whereas POC value is above literature data. The differing results and the unexpected low suspended sediment yield can be explained by the fact that more data integrating the temporal variation of suspended sediment discharge during the year are needed for an adequate calculation. Furthermore emphasis to a greater extent should be placed on the improvement of the data calibration for the ViSolid sensor.
