TY - JOUR A1 - Francke, Till A1 - Werb, Sandra A1 - Sommerer, Erik A1 - Lopez-Tarazon, José Andrés T1 - Analysis of runoff, sediment dynamics and sediment yield of subcatchments in the highly erodible Isabena catchment, Central Pyrenees JF - Journal of soils and sediments : protection, risk assessment and remediation N2 - The Isabena catchment (445 km(2)), Spain, features highly diverse spatial heterogeneity in land use, lithology and rainfall. Consequently, the relative contribution in terms of water and sediment yield varies immensely between its subcatchments, and also temporally. This study presents the synthesis of similar to 2.5 years of monitoring rainfall, discharge and suspended sediment concentration (SSC) in the five main subcatchments of the Isabena and its outlet. Continuous discharge at the subcatchment outlets, nine tipping bucket rainfall and automatic SSC samplers (complemented by manual samples), were collected from June 2011 until November 2013. The water stage records were converted to discharge using a rating curve derived with Bayesian regression. For reconstructing sediment yields, the data from the intermittent SSC sampling needed to be interpolated. We employed non-parametric multivariate regression (Quantile Regression Forests, QRF) using the discharge and rainfall data plus different aggregation levels of these as ancillary predictors. The subsequent Monte Carlo simulations allowed the determination of monthly sediment yields and their uncertainty. The Isabena catchment shows high erosion dynamics with great variability in space and time, with stark contrasts even between adjacent subcatchments. The natural conditions make water and sediment monitoring and instrumentation very challenging; the measurement of discharge is particularly prone to considerable uncertainties. The QRF method employed for reconstructing sedigraphs and monthly yields proved well suited for the task. KW - Mediterranean-mountainous KW - Non-parametric regression KW - Sediment yield KW - Water yield KW - Badlands Y1 - 2014 U6 - https://doi.org/10.1007/s11368-014-0990-5 SN - 1439-0108 SN - 1614-7480 VL - 14 IS - 12 SP - 1909 EP - 1920 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Yair, Aaron A1 - Bryan, Rorke B. A1 - Lavee, Hanoch A1 - Schwanghart, Wolfgang A1 - Kuhn, Nikolaus J. T1 - The resilience of a badland area to climate change in an arid environment JF - Catena : an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution N2 - Badlands have long been considered as model landscapes due to their perceived close relationship between form and process. The often intense features of erosion have also attracted many geomorphologists because the associated high rates of erosion appeared to offer the opportunity for studying surface processes and the resulting forms. Recently, the perceived simplicity of badlands has been questioned because the expected relationships between driving forces for erosion and the resulting sediment yield could not be observed. Further, a high variability in erosion and sediment yield has been observed across scales. Finally, denudation based on currently observed erosion rates would have lead to the destruction of most badlands a long time ago. While the perceived simplicity of badlands has sparked a disproportional (compared to the land surface they cover) amount of research, our increasing amount of information has not necessarily increased our understanding of badlands in equal terms. Overall, badlands appear to be more complex than initially assumed. In this paper, we review 40 years of research in the Zin Valley Badlands in Israel to reconcile some of the conflicting results observed there and develop a perspective on the function of badlands as model landscapes. While the data collected in the Zin Valley clearly confirm that spatial and temporal patterns of geomorphic processes and their interaction with topography and surface properties have to be understood, we still conclude that the process of realizing complexity in the "simple" badlands has a model function both for our understanding as well as perspective on all landscape systems. KW - Badlands KW - Model landscape KW - Climate change KW - Resilience Y1 - 2013 U6 - https://doi.org/10.1016/j.catena.2012.04.006 SN - 0341-8162 VL - 106 IS - 4 SP - 12 EP - 21 PB - Elsevier CY - Amsterdam ER -