Combining sediment source tracing techniques with traditional monitoring: The Arvorezinha catchment experience

To truly understand the hydrologic and erosive processes that occur at the catchment scale regarding land use and soil management changes, intensive monitoring is required over a long period. Variables such as precipitation, flow rate and suspended sediment concentration are the fundamentals needed to estimate sediment yield (SY). However, in order to shed more light on the effects of soil management changes on SY, traditional hydrologic monitoring techniques can be paired with sediment tracing to identify sediment sources. In addition, mathematical models that predict erosion and SY can also help understand the dynamics of erosion and deposition between the hillslope and stream channel. Given the above, this article provides an overview of almost 20 years of monitoring (2002-2021) in the Arvorezinha experimental catchment (1.23 km(2)) located on the edge of the Brazilian meridional plateau in southern Brazil, which is subject to extreme erosion due to a combination of factors related to intensive agriculture and steep slopes. The catchment was selected as a study site to evaluate the effects of land-use changes and soil conservation management on hydrology and SY. The text reviews the history of the study, synthesizes the main results and describes the evolution of the monitoring techniques used while giving special attention to the fingerprinting approach. In addition, the article discusses the importance of catchment-scale studies for teaching, generating technical-scientific knowledge and fostering collaboration between national and international research groups.

Automated summary

This article provides an overview of almost 20 years of monitoring in the Arvorezinha experimental catchment, highlighting the impact of hydrology and sediment yield, as well as the research methods used. It stresses the importance of catchment-scale studies for teaching, generating technical-scientific knowledge, and fostering collaboration between research groups.