Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A conceptual-model-based sediment connectivity assessment for patchy agricultural catchments
Pedro V. G. Batista
CORRESPONDING AUTHOR
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
now at: Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Peter Fiener
Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Simon Scheper
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
Dr. Simon Scheper – Research – Consulting – Teaching,
Eickhorst 3, 29413 Dähre, Germany
Christine Alewell
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
Related authors
Kay D. Seufferheld, Pedro V. G. Batista, Hadi Shokati, Thomas Scholten, and Peter Fiener
EGUsphere, https://doi.org/10.5194/egusphere-2025-3391, https://doi.org/10.5194/egusphere-2025-3391, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary
Short summary
Soil erosion by water threatens food security, but soil conservation practices can help protect arable land. We tested a soil erosion model that simulates sediment yields in micro-scale watersheds with soil conservation in place. The model captured the very low sediment yields but showed limited accuracy on an annual time scale. However, it performed well when applied to larger areas over longer timeframes, demonstrating its suitability for strategic long-term soil conservation planning.
Lena Katharina Öttl, Florian Wilken, Anna Juřicová, Pedro V. G. Batista, and Peter Fiener
SOIL, 10, 281–305, https://doi.org/10.5194/soil-10-281-2024, https://doi.org/10.5194/soil-10-281-2024, 2024
Short summary
Short summary
Our long-term modelling study examines the effects of multiple soil redistribution processes on carbon dynamics in a 200 km² catchment converted from natural forest to agriculture about 1000 years ago. The modelling results stress the importance of including tillage erosion processes and long-term land use and land management changes to understand current soil-redistribution-induced carbon fluxes at the landscape scale.
Thomas Chalaux-Clergue, Rémi Bizeul, Pedro V. G. Batista, Núria Martínez-Carreras, J. Patrick Laceby, and Olivier Evrard
SOIL, 10, 109–138, https://doi.org/10.5194/soil-10-109-2024, https://doi.org/10.5194/soil-10-109-2024, 2024
Short summary
Short summary
Sediment source fingerprinting is a relevant tool to support soil conservation and watershed management in the context of accelerated soil erosion. To quantify sediment source contribution, it requires the selection of relevant tracers. We compared the three-step method and the consensus method and found very contrasted trends. The divergences between virtual mixtures and sample prediction ranges highlight that virtual mixture statistics are not directly transferable to actual samples.
Pedro V. G. Batista, Daniel L. Evans, Bernardo M. Cândido, and Peter Fiener
SOIL, 9, 71–88, https://doi.org/10.5194/soil-9-71-2023, https://doi.org/10.5194/soil-9-71-2023, 2023
Short summary
Short summary
Most agricultural soils erode faster than new soil is formed, which leads to soil thinning. Here, we used a model simulation to investigate how soil erosion and soil thinning can alter topsoil properties and change its susceptibility to erosion. We found that soil profiles are sensitive to erosion-induced changes in the soil system, which mostly slow down soil thinning. These findings are likely to impact how we estimate soil lifespans and simulate long-term erosion dynamics.
Kay D. Seufferheld, Pedro V. G. Batista, Hadi Shokati, Thomas Scholten, and Peter Fiener
EGUsphere, https://doi.org/10.5194/egusphere-2025-3391, https://doi.org/10.5194/egusphere-2025-3391, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary
Short summary
Soil erosion by water threatens food security, but soil conservation practices can help protect arable land. We tested a soil erosion model that simulates sediment yields in micro-scale watersheds with soil conservation in place. The model captured the very low sediment yields but showed limited accuracy on an annual time scale. However, it performed well when applied to larger areas over longer timeframes, demonstrating its suitability for strategic long-term soil conservation planning.
Hadi Shokati, Kay D. Seufferheld, Peter Fiener, and Thomas Scholten
EGUsphere, https://doi.org/10.5194/egusphere-2025-3146, https://doi.org/10.5194/egusphere-2025-3146, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Short summary
Floods threaten lives and property and require rapid mapping. We compared two artificial intelligence approaches on aerial imagery: a fine‑tuned Segment Anything Model (SAM) guided by point or bounding box prompts, and a U‑Net network with ResNet‑50 and ResNet‑101 backbones. The point‑based SAM was the most accurate with precise boundaries. Faster and more reliable flood maps help rescue teams, insurers, and planners to act quickly.
Karl Auerswald, Juergen Geist, John N. Quinton, and Peter Fiener
Hydrol. Earth Syst. Sci., 29, 2185–2200, https://doi.org/10.5194/hess-29-2185-2025, https://doi.org/10.5194/hess-29-2185-2025, 2025
Short summary
Short summary
Floods, droughts, and heatwaves are increasing globally. This is often attributed to CO2-driven climate change. However, at the global scale, CO2-driven climate change neither reduces precipitation nor adequately explains droughts. Land-use change, particularly soil sealing, compaction, and drainage, is likely to be more significant for water losses by runoff leading to flooding and water scarcity and is therefore an important part of the solution to mitigate floods, droughts, and heatwaves.
Gerald Dicen, Floriane Guillevic, Surya Gupta, Pierre-Alexis Chaboche, Katrin Meusburger, Pierre Sabatier, Olivier Evrard, and Christine Alewell
Earth Syst. Sci. Data, 17, 1529–1549, https://doi.org/10.5194/essd-17-1529-2025, https://doi.org/10.5194/essd-17-1529-2025, 2025
Short summary
Short summary
Fallout radionuclides (FRNs) such as 137Cs and 239+240Pu are considered to be critical tools in various environmental research. Here, we compiled reference soil data on these FRNs from the literature to build a comprehensive database. Using this database, we determined the distribution and sources of 137Cs and 239+240Pu. We also demonstrated how the database can be used to identify the environmental factors that influence their distribution using a machine learning algorithm.
Lena Katharina Öttl, Florian Wilken, Anna Juřicová, Pedro V. G. Batista, and Peter Fiener
SOIL, 10, 281–305, https://doi.org/10.5194/soil-10-281-2024, https://doi.org/10.5194/soil-10-281-2024, 2024
Short summary
Short summary
Our long-term modelling study examines the effects of multiple soil redistribution processes on carbon dynamics in a 200 km² catchment converted from natural forest to agriculture about 1000 years ago. The modelling results stress the importance of including tillage erosion processes and long-term land use and land management changes to understand current soil-redistribution-induced carbon fluxes at the landscape scale.
Raphael Rehm and Peter Fiener
SOIL, 10, 211–230, https://doi.org/10.5194/soil-10-211-2024, https://doi.org/10.5194/soil-10-211-2024, 2024
Short summary
Short summary
A carbon transport model was adjusted to study the importance of water and tillage erosion processes for particular microplastic (MP) transport across a mesoscale landscape. The MP mass delivered into the stream network represented a serious amount of MP input in the same range as potential MP inputs from wastewater treatment plants. In addition, most of the MP applied to arable soils remains in the topsoil (0–20 cm) for decades. The MP sink function of soil results in a long-term MP source.
Thomas Chalaux-Clergue, Rémi Bizeul, Pedro V. G. Batista, Núria Martínez-Carreras, J. Patrick Laceby, and Olivier Evrard
SOIL, 10, 109–138, https://doi.org/10.5194/soil-10-109-2024, https://doi.org/10.5194/soil-10-109-2024, 2024
Short summary
Short summary
Sediment source fingerprinting is a relevant tool to support soil conservation and watershed management in the context of accelerated soil erosion. To quantify sediment source contribution, it requires the selection of relevant tracers. We compared the three-step method and the consensus method and found very contrasted trends. The divergences between virtual mixtures and sample prediction ranges highlight that virtual mixture statistics are not directly transferable to actual samples.
Katrin Meusburger, Paolo Porto, Judith Kobler Waldis, and Christine Alewell
SOIL, 9, 399–409, https://doi.org/10.5194/soil-9-399-2023, https://doi.org/10.5194/soil-9-399-2023, 2023
Short summary
Short summary
Quantifying soil redistribution rates is a global challenge. Radiogenic tracers such as plutonium, namely 239+240Pu, released to the atmosphere by atmospheric bomb testing in the 1960s are promising tools to quantify soil redistribution. Direct validation of 239+240Pu as soil redistribution is, however, still missing. Here, we used a unique sediment yield time series in southern Italy, reaching back to the initial fallout of 239+240Pu to verify 239+240Pu as a soil redistribution tracer.
Thomas O. Hoffmann, Yannik Baulig, Stefan Vollmer, Jan H. Blöthe, Karl Auerswald, and Peter Fiener
Earth Surf. Dynam., 11, 287–303, https://doi.org/10.5194/esurf-11-287-2023, https://doi.org/10.5194/esurf-11-287-2023, 2023
Short summary
Short summary
We analyzed more than 440 000 measurements from suspended sediment monitoring to show that suspended sediment concentration (SSC) in large rivers in Germany strongly declined by 50 % between 1990 and 2010. We argue that SSC is approaching the natural base level that was reached during the mid-Holocene. There is no simple explanation for this decline, but increased sediment retention in upstream headwaters is presumably the major reason for declining SSC in the large river channels studied.
Pedro V. G. Batista, Daniel L. Evans, Bernardo M. Cândido, and Peter Fiener
SOIL, 9, 71–88, https://doi.org/10.5194/soil-9-71-2023, https://doi.org/10.5194/soil-9-71-2023, 2023
Short summary
Short summary
Most agricultural soils erode faster than new soil is formed, which leads to soil thinning. Here, we used a model simulation to investigate how soil erosion and soil thinning can alter topsoil properties and change its susceptibility to erosion. We found that soil profiles are sensitive to erosion-induced changes in the soil system, which mostly slow down soil thinning. These findings are likely to impact how we estimate soil lifespans and simulate long-term erosion dynamics.
Lena Wohlgemuth, Pasi Rautio, Bernd Ahrends, Alexander Russ, Lars Vesterdal, Peter Waldner, Volkmar Timmermann, Nadine Eickenscheidt, Alfred Fürst, Martin Greve, Peter Roskams, Anne Thimonier, Manuel Nicolas, Anna Kowalska, Morten Ingerslev, Päivi Merilä, Sue Benham, Carmen Iacoban, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 19, 1335–1353, https://doi.org/10.5194/bg-19-1335-2022, https://doi.org/10.5194/bg-19-1335-2022, 2022
Short summary
Short summary
Gaseous mercury is present in the atmosphere all over the globe. During the growing season, plants take up mercury from the air in a similar way as CO2. We investigated which factors impact this vegetational mercury uptake by analyzing a large dataset of leaf mercury uptake rates of trees in Europe. As a result, we conclude that mercury uptake is foremost controlled by tree-intrinsic traits like physiological activity but also by climatic factors like dry conditions in the air and in soils.
Lauren Zweifel, Maxim Samarin, Katrin Meusburger, and Christine Alewell
Nat. Hazards Earth Syst. Sci., 21, 3421–3437, https://doi.org/10.5194/nhess-21-3421-2021, https://doi.org/10.5194/nhess-21-3421-2021, 2021
Short summary
Short summary
Mountainous grassland areas can be severely affected by soil erosion, such as by shallow landslides. With an automated mapping approach we are able to locate shallow-landslide sites on aerial images for 10 different study sites across Swiss mountain regions covering a total of 315 km2. Using a statistical model we identify important explanatory variables for shallow-landslide occurrence for the individual sites as well as across all regions, which highlight slope, aspect and terrain roughness.
Benjamin Bukombe, Peter Fiener, Alison M. Hoyt, Laurent K. Kidinda, and Sebastian Doetterl
SOIL, 7, 639–659, https://doi.org/10.5194/soil-7-639-2021, https://doi.org/10.5194/soil-7-639-2021, 2021
Short summary
Short summary
Through a laboratory incubation experiment, we investigated the spatial patterns of specific maximum heterotrophic respiration in tropical African mountain forest soils developed from contrasting parent material along slope gradients. We found distinct differences in soil respiration between soil depths and geochemical regions related to soil fertility and the chemistry of the soil solution. The topographic origin of our samples was not a major determinant of the observed rates of respiration.
Sebastian Doetterl, Rodrigue K. Asifiwe, Geert Baert, Fernando Bamba, Marijn Bauters, Pascal Boeckx, Benjamin Bukombe, Georg Cadisch, Matthew Cooper, Landry N. Cizungu, Alison Hoyt, Clovis Kabaseke, Karsten Kalbitz, Laurent Kidinda, Annina Maier, Moritz Mainka, Julia Mayrock, Daniel Muhindo, Basile B. Mujinya, Serge M. Mukotanyi, Leon Nabahungu, Mario Reichenbach, Boris Rewald, Johan Six, Anna Stegmann, Laura Summerauer, Robin Unseld, Bernard Vanlauwe, Kristof Van Oost, Kris Verheyen, Cordula Vogel, Florian Wilken, and Peter Fiener
Earth Syst. Sci. Data, 13, 4133–4153, https://doi.org/10.5194/essd-13-4133-2021, https://doi.org/10.5194/essd-13-4133-2021, 2021
Short summary
Short summary
The African Tropics are hotspots of modern-day land use change and are of great relevance for the global carbon cycle. Here, we present data collected as part of the DFG-funded project TropSOC along topographic, land use, and geochemical gradients in the eastern Congo Basin and the Albertine Rift. Our database contains spatial and temporal data on soil, vegetation, environmental properties, and land management collected from 136 pristine tropical forest and cropland plots between 2017 and 2020.
Mario Reichenbach, Peter Fiener, Gina Garland, Marco Griepentrog, Johan Six, and Sebastian Doetterl
SOIL, 7, 453–475, https://doi.org/10.5194/soil-7-453-2021, https://doi.org/10.5194/soil-7-453-2021, 2021
Short summary
Short summary
In deeply weathered tropical rainforest soils of Africa, we found that patterns of soil organic carbon stocks differ between soils developed from geochemically contrasting parent material due to differences in the abundance of organo-mineral complexes, the presence/absence of chemical stabilization mechanisms of carbon with minerals and the presence of fossil organic carbon from sedimentary rocks. Physical stabilization mechanisms by aggregation provide additional protection of soil carbon.
Joseph Tamale, Roman Hüppi, Marco Griepentrog, Laban Frank Turyagyenda, Matti Barthel, Sebastian Doetterl, Peter Fiener, and Oliver van Straaten
SOIL, 7, 433–451, https://doi.org/10.5194/soil-7-433-2021, https://doi.org/10.5194/soil-7-433-2021, 2021
Short summary
Short summary
Soil greenhouse gas (GHG) fluxes were measured monthly from nitrogen (N), phosphorous (P), N and P, and control plots of the first nutrient manipulation experiment located in an African pristine tropical forest using static chambers. The results suggest (1) contrasting soil GHG responses to nutrient addition, hence highlighting the complexity of the tropical forests, and (2) that the feedback of tropical forests to the global soil GHG budget could be altered by changes in N and P availability.
Florian Wilken, Peter Fiener, Michael Ketterer, Katrin Meusburger, Daniel Iragi Muhindo, Kristof van Oost, and Sebastian Doetterl
SOIL, 7, 399–414, https://doi.org/10.5194/soil-7-399-2021, https://doi.org/10.5194/soil-7-399-2021, 2021
Short summary
Short summary
This study demonstrates the usability of fallout radionuclides 239Pu and 240Pu as a tool to assess soil degradation processes in tropical Africa, which is particularly valuable in regions with limited infrastructure and challenging monitoring conditions for landscape-scale soil degradation monitoring. The study shows no indication of soil redistribution in forest sites but substantial soil redistribution in cropland (sedimentation >40 cm in 55 years) with high variability.
Maral Khodadadi, Christine Alewell, Mohammad Mirzaei, Ehssan Ehssan-Malahat, Farrokh Asadzadeh, Peter Strauss, and Katrin Meusburger
SOIL Discuss., https://doi.org/10.5194/soil-2021-2, https://doi.org/10.5194/soil-2021-2, 2021
Revised manuscript not accepted
Short summary
Short summary
Forest soils store carbon and therefore play an important role in mitigating climate change impacts. Yet again, deforestation for farming and grazing purposes has grown rapidly over the last decades. Thus, its impacts on soil erosion and soil quality should be understood in order to adopt sustainable management measures. The results of this study indicated that deforestation can prompt soil loss by multiple orders of magnitude and deteriorate the soil quality in both topsoil and subsoil.
Claudia Mignani, Jörg Wieder, Michael A. Sprenger, Zamin A. Kanji, Jan Henneberger, Christine Alewell, and Franz Conen
Atmos. Chem. Phys., 21, 657–664, https://doi.org/10.5194/acp-21-657-2021, https://doi.org/10.5194/acp-21-657-2021, 2021
Short summary
Short summary
Most precipitation above land starts with ice in clouds. It is promoted by extremely rare particles. Some ice-nucleating particles (INPs) cause cloud droplets to already freeze above −15°C, a temperature at which many clouds begin to snow. We found that the abundance of such INPs among other particles of similar size is highest in precipitating air masses and lowest when air carries desert dust. This brings us closer to understanding the interactions between land, clouds, and precipitation.
Lena Wohlgemuth, Stefan Osterwalder, Carl Joseph, Ansgar Kahmen, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 17, 6441–6456, https://doi.org/10.5194/bg-17-6441-2020, https://doi.org/10.5194/bg-17-6441-2020, 2020
Short summary
Short summary
Mercury uptake by trees from the air represents an important but poorly quantified pathway in the global mercury cycle. We determined mercury uptake fluxes by leaves and needles at 10 European forests which were 4 times larger than mercury deposition via rainfall. The amount of mercury taken up by leaves and needles depends on their age and growing height on the tree. Scaling up our measurements to the forest area of Europe, we estimate that each year 20 t of mercury is taken up by trees.
Florian Wilken, Michael Ketterer, Sylvia Koszinski, Michael Sommer, and Peter Fiener
SOIL, 6, 549–564, https://doi.org/10.5194/soil-6-549-2020, https://doi.org/10.5194/soil-6-549-2020, 2020
Short summary
Short summary
Soil redistribution by water and tillage erosion processes on arable land is a major threat to sustainable use of soil resources. We unravel the role of tillage and water erosion from fallout radionuclide (239+240Pu) activities in a ground moraine landscape. Our results show that tillage erosion dominates soil redistribution processes and has a major impact on the hydrological and sedimentological connectivity, which started before the onset of highly mechanised farming since the 1960s.
Cited articles
Alder, S., Prasuhn, V., Liniger, H., Herweg, K., Hurni, H., Candinas, A., and
Gujer, H. U.: A high-resolution map of direct and indirect connectivity of
erosion risk areas to surface waters in Switzerland-A risk assessment tool
for planning and policy-making, Land Use Policy, 48, 236–249,
https://doi.org/10.1016/j.landusepol.2015.06.001, 2015.
Antoniadis, A., Lambert-Lacroix, S., and Poggi, J. M.: Random forests for
global sensitivity analysis: A selective review, Reliab. Eng. Syst. Safe., 206, 107312, https://doi.org/10.1016/j.ress.2020.107312, 2021.
Baartman, J. E. M., Nunes, J. P., Masselink, R., Darboux, F., Bielders, C.,
Degré, A., Cantreul, V., Cerdan, O., Grangeon, T., Fiener, P., Wilken,
F., Schindewolf, M., and Wainwright, J.: What do models tell us about water
and sediment connectivity?, Geomorphology, 367, 107300,
https://doi.org/10.1016/j.geomorph.2020.107300, 2020.
BAFU: Faktenblatt: Der Greifensee, Zustand bezüglich Wasserqualität,
1–8, http://www.bafu.admin.ch (last access” 14 February 2021), 2016.
Bakker, M. M., Govers, G., van Doorn, A., Quetier, F., Chouvardas, D., and
Rounsevell, M.: The response of soil erosion and sediment export to land-use
change in four areas of Europe: The importance of landscape pattern,
Geomorphology, 98, 213–226, https://doi.org/10.1016/j.geomorph.2006.12.027, 2008.
Batista, P. V. G., Fiener, P., Scheper, S., and Alewell, C.: Data and code for: A conceptual model-based sediment connectivity assessment for patchy agricultural catchments, Zenodo [data set], https://doi.org/10.5281/zenodo.6560226, 2022.
Batista, P. V. G., Laceby, J. P., Davies, J., Carvalho, T. S., Tassinari, D., Silva, M. L. N., Curi, N., and Quinton, J. N.: A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing
with uncertainty in models and the observational data, Environ. Model. Softw., 137, 104961, https://doi.org/10.1016/j.envsoft.2021.104961, 2021.
Bauer, M., Dostal, T., Krasa, J., Jachymova, B., David, V., Devaty, J., Strouhal, L., and Rosendorf, P.: Risk to residents, infrastructure, and water
bodies from flash floods and sediment transport, Environ. Monit. Assess., 191, 1–19, https://doi.org/10.1007/s10661-019-7216-7, 2019.
Benaud, P., Anderson, K., Evans, M., Farrow, L., Glendell, M., James, M. R.,
Quine, T. A., Quinton, J. N., Rickson, R. J., and Brazier, R. E.:
Reproducibility, open science and progression in soil erosion research. A
reply to “Response to `National-scale geodata describe widespread
accelerated soil erosion' Benaud et al. (2020) Geoderma 271, 114378” by
Evans and Boardman (2021), Geoderma, 402, 115181, https://doi.org/10.1016/j.geoderma.2021.115181, 2021.
Bircher, P., Liniger, H., and Prasuhn, V.: Aktualisierung und Optimierung der
Erosionsrisikokarte (ERK2) Die neue ERK2 (2019) für das Ackerland
der Schweiz, https://www.blw.admin.ch/dam/blw/de/dokumente/Nachhaltige Produktion/Umwelt/Boden/Bericht zur Erosionsrisikokarte.pdf.download.pdf/Erosionsrisikokarte 2019.pdf (last access: 20 January 2021), 2019.
Bispo, D. F. A., Batista, P. V. G., Guimarães, D. V., Silva, M. L. N.,
Curi, N., and Quinton, J. N.: Monitoring land use impacts on sediment
production: a case study of the pilot catchment from the Brazilian program
of payment for environmental services, Rev. Bras. Ciência do Solo, 44,
e0190167, https://doi.org/10.36783/18069657rbcs20190167, 2020.
Boardman, J.: A 38-year record of muddy flooding at Breaky Bottom: Learning
from a detailed case study, Catena, 189, 104493, https://doi.org/10.1016/j.catena.2020.104493, 2020.
Borrelli, P., Meusburger, K., Ballabio, C., Panagos, P., and Alewell, C.: Object-oriented soil erosion modelling: A possible paradigm shift from potential to actual risk assessments in agricultural environments, Land. Degrad. Dev., 29, 1270–1281, https://doi.org/10.1002/ldr.2898, 2018.
Borselli, L., Cassi, P., and Torri, D.: Prolegomena to sediment and flow
connectivity in the landscape: A GIS and field numerical assessment, Catena,
75, 268–277, https://doi.org/10.1016/j.catena.2008.07.006, 2008.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001.
Brenning, A., Bangs, D., and Becker, M.: RSAGA: SAGA geoprocessing and terrain analysis, R package version 1.3.0, https://cran.r-project.org/web/packages/RSAGA/index.html (last access: 20 January 2021), 2018.
Calsamiglia, A., García-Comendador, J., Fortesa, J., López-Tarazón, J. A., Crema, S., Cavalli, M., Calvo-Cases, A., and
Estrany, J.: Effects of agricultural drainage systems on sediment
connectivity in a small Mediterranean lowland catchment, Geomorphology, 318,
162–171, https://doi.org/10.1016/j.geomorph.2018.06.011, 2018a.
Calsamiglia, A., Fortesa, J., García-Comendador, J., Lucas-Borja, M.
E., Calvo-Cases, A., and Estrany, J.: Spatial patterns of sediment connectivity in terraced lands: Anthropogenic controls of catchment
sensitivity, Land. Degrad. Dev., 29, 1198–1210, https://doi.org/10.1002/ldr.2840, 2018b.
Cavalli, M., Trevisani, S., Comiti, F., and Marchi, L.: Geomorphometric
assessment of spatial sediment connectivity in small Alpine catchments,
Geomorphology, 188, 31–41, https://doi.org/10.1016/j.geomorph.2012.05.007, 2013.
Chartin, C., Evrard, O., Salvador-Blanes, S., Hinschberger, F., Van Oost,
K., Lefèvre, I., Daroussin, J., and Macaire, J. J.: Quantifying and
modelling the impact of land consolidation and field borders on soil redistribution in agricultural landscapes (1954–2009), Catena, 110, 184–195, https://doi.org/10.1016/j.catena.2013.06.006, 2013.
Cohn, T. A., Caulder, D. L., Gilroy, J., Zynjuk, L. D., and Summers, R. M.:
The Validity of a Simple Statistical Model for Estimating, Water Resour. Res., 28, 2353–2363, 1992.
Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Böhner, J.: System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 1991–2007, https://doi.org/10.5194/gmd-8-1991-2015, 2015.
Croke, J., Mockler, S., Fogarty, P., and Takken, I.: Sediment concentration
changes in runoff pathways from a forest road network and the resultant
spatial pattern of catchment connectivity, Geomorphology, 68, 257–268, https://doi.org/10.1016/j.geomorph.2004.11.020, 2005.
Desmet, P. and Govers, G.: A GIS procedure for automatically calculating the
USLE LS factor on topographically complex landscape units, J. Soil Water
Conserv., 51, 427–433, 1996.
Eekhout, J. P. C., Millares-Valenzuela, A., Martínez-Salvador, A.,
García-Lorenzo, R., Pérez-Cutillas, P., Conesa-García, C., and
de Vente, J.: A process-based soil erosion model ensemble to assess model
uncertainty in climate-change impact assessments, Land. Degrad. Dev., 32,
2409–2422, https://doi.org/10.1002/ldr.3920, 2021.
Evrard, O., Cerdan, O., van Wesemael, B., Chauvet, M., Le Bissonnais, Y.,
Raclot, D., Vandaele, K., Andrieux, P., and Bielders, C.: Reliability of an
expert-based runoff and erosion model: Application of STREAM to different
environments, Catena, 78, 129–141, https://doi.org/10.1016/j.catena.2009.03.009, 2009.
Fiener, P. and Auerswald, K.: Measurement and modeling of concentrated runoff in grassed waterways, J. Hydrol., 301, 198–215, https://doi.org/10.1016/j.jhydrol.2004.06.030, 2005.
Fiener, P., Auerswald, K., and Van Oost, K.: Spatio-temporal patterns in land
use and management affecting surface runoff response of agricultural catchments – A review, Earth-Sci. Rev., 106, 92–104,
https://doi.org/10.1016/j.earscirev.2011.01.004, 2011.
Fiener, P., Wilken, F., and Auerswald, K.: Filling the gap between plot and landscape scale – eight years of soil erosion monitoring in 14 adjacent watersheds under soil conservation at Scheyern, Southern Germany, Adv. Geosci., 48, 31–48, https://doi.org/10.5194/adgeo-48-31-2019, 2019.
Fryirs, K.: (Dis)Connectivity in catchment sediment cascades: A fresh look
at the sediment delivery problem, Earth Surf. Proc. Land., 38, 30–46, https://doi.org/10.1002/esp.3242, 2013.
Gelman, A. and Hill, J.: Data Analysis Using Regression and Multilevel/Hierarchical Models, R package version 1.12.2, Cambridge Univeristy Press, New York, ISBN 9780511268786, 2007.
Govers, G.: Misapplications and misconceptions of erosion models, in:
Handbook of erosion modelling, edited by: Morgan, R. P. C. and Nearing, M. A., Blackwell Publishing Ltd., Chichester, UK, 117–134, ISBN 9781405190107, 2011.
Heckmann, T., Cavalli, M., Cerdan, O., Foerster, S., Javaux, M., Lode, E.,
Smetanová, A., Vericat, D., and Brardinoni, F.: Indices of sediment
connectivity: opportunities, challenges and limitations, Earth-Sci. Rev., 187, 77–108, https://doi.org/10.1016/j.earscirev.2018.08.004, 2018.
IUSS Working Group WRB: World Reference Base for Soil Resources, IUSS
Working Group WRB, Wageningen, the Netherlands, 1–128, https://www.fao.org/3/i3794en/I3794en.pdf (last access: 14 February 2021), 2006.
Keller, B.: Lake Lucerne and its spectacular landscape, in: Landscapes and
landforms of Switzerland, edited by: Reynard, E., Springer Nature, Cham, Switzerland, 305–324, ISBN 9783030432034, 2021.
Krasa, J., Dostal, T., Jachymova, B., Bauer, M., and Devaty, J.: Soil erosion
as a source of sediment and phosphorus in rivers and reservoirs – Watershed
analyses using WaTEM/SEDEM, Environ. Res., 171, 470–483,
https://doi.org/10.1016/j.envres.2019.01.044, 2019.
Kupferschmied, P.: CP-Tool: Ein Programm zur Berechnung des Fruchtfolge- und
Bewirtschaftungsfaktors (CP-Faktor) der Allgemeinen Bodenabtragsgleichung (ABAG), https://www.agroscope.admin.ch/dam/agroscope/de/dokumente (last access: 14 February 2021), 2019.
Laceby, J. P., Batista, P. V. G., Taube, N., Kruk, M. K., Chung, C., Evrard,
O., and Orwin, J. F.: Tracing total and dissolved material in a western
Canadian basin using quality control samples to guide the selection of
fingerprinting parameters for modelling, Catena, 200, 105095,
https://doi.org/10.1016/j.catena.2020.105095, 2021.
Lacoste, M., Michot, D., Viaud, V., Evrard, O., and Walter, C.: Combining 137Cs measurements and a spatially distributed erosion model to
assess soil redistribution in a hedgerow landscape in northwestern France
(1960–2010), Catena, 119, 78–89, https://doi.org/10.1016/j.catena.2014.03.004, 2014.
Lavrieux, M., Birkholz, A., Meusburger, K., Wiesenberg, G. L. B., Gilli, A.,
Stamm, C., and Alewell, C.: Plants or bacteria? 130 years of mixed imprints
in Lake Baldegg sediments (Switzerland), as revealed by compound-specific
isotope analysis (CSIA) and biomarker analysis, Biogeosciences, 16,
2131–2146, https://doi.org/10.5194/bg-16-2131-2019, 2019.
Ledermann, T., Herweg, K., Liniger, H. P., Schneider, F., Hurni, H., and
Prasuhn, V.: Applying erosion damage mapping to assess and quantify off-site
effects of soil erosion in Switzerland, Land. Degrad. Dev., 21, 353–366, 2010.
Liaw, A. and Wiener, M.: Classification and regression by randomForest, R package version 4.7.1, R News, 2, 18–22, 2002.
Mahoney, D. T., Fox, J. F., and Al-Aamery, N.: Watershed erosion modeling
using the probability of sediment connectivity in a gently rolling system,
J. Hydrol., 561, 862–883, https://doi.org/10.1016/j.jhydrol.2018.04.034, 2018.
Mahoney, D. T., Fox, J., Al-Aamery, N., and Clare, E.: Integrating
connectivity theory within watershed modelling part I: Model formulation and
investigating the timing of sediment connectivity, Sci. Total Environ., 740,
140385, https://doi.org/10.1016/j.scitotenv.2020.140385, 2020a.
Mahoney, D. T., Fox, J., Al-Aamery, N., and Clare, E.: Integrating connectivity theory within watershed modelling part II: Application and
evaluating structural and functional connectivity, Sci. Total Environ., 740,
140386, https://doi.org/10.1016/j.scitotenv.2020.140386, 2020b.
MeteoSwiss: SwissMetNet Surface Weather Stations, Mosen MOA, 2010–2019,
Switzerland, https://www.meteoswiss.admin.ch/home/measurement-values.html?param=messnetz-automatisch&station=MOA&chart=hour (last access: 13 July 2022), 2021.
Moriasi, D. N., Gitau, M. W., Pai, N., and Daggupati, P.: Hydrologic and water quality models: Performance measures and evaluation criteria, T. ASABE, 58, 1763–1785, https://doi.org/10.13031/trans.58.10715, 2015.
Müller, B., Gächter, R., and Wüest, A.: Accelerated water quality
improvement during oligotrophication in peri-alpine lakes, Environ. Sci.
Technol., 48, 6671–6677, https://doi.org/10.1021/es4040304, 2014.
Notebaert, B., Vaes, B., Govers, G., Van Oost, K., Van Rompaey, A., and
Verstraeten, G.: WaTEM/SEDEM version 2006 Manual, https://ees.kuleuven.be/eng/geography/modelling/watemsedem2006/manual_watemsedem_122011.pdf
(last access: 1 March 2021), 2006.
Nunes, J. P., Wainwright, J., Bielders, C. L., Darboux, F., Fiener, P.,
Finger, D., and Turnbull, L.: Better models are more effectively connected
models, Earth Surf. Proc. Land., 43(, 1355–1360, https://doi.org/10.1002/esp.4323, 2018.
Owens, P. N.: Soil erosion and sediment dynamics in the Anthropocene: a
review of human impacts during a period of rapid global environmental change, J. Soils Sediments, 20, 4115–4143, https://doi.org/10.1007/s11368-020-02815-9, 2020.
Parsons, A. J., Wainwright, J., Brazier, R. E., and Powell, D. M.: Is
sediment delivery a fallacy? Reply, Earth Surf. Proc. Land., 34, 155–161, https://doi.org/10.1002/esp.1395, 2009.
Persichillo, M. G., Bordoni, M., Cavalli, M., Crema, S., and Meisina, C.: The
role of human activities on sediment connectivity of shallow landslides,
Catena, 160, 261–274, https://doi.org/10.1016/j.catena.2017.09.025, 2018.
Pfiffner, O. A.: The structural landscapes of Central Switzerland, in:
Landscapes and landforms of Switzerland, edited by: Reynard, E., Springer
Nature Switzerland, Cham, Switzerland, 159–172, ISBN 9783030432034, 2021.
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D.
B., and Wagener, T.: Sensitivity analysis of environmental models: A
systematic review with practical workflow, Environ. Model. Softw., 79,
214–232, https://doi.org/10.1016/j.envsoft.2016.02.008, 2016.
Prasuhn, V.: Twenty years of soil erosion on-farm measurement: annual
variation, spatial distribution and the impact of conservation programmes
for soil loss rates in Switzerland, Earth Surf. Proc. Land., 45, 1539–1554, https://doi.org/10.1002/esp.4829, 2020.
R Core Team: R: A language for statistical computing, R Foundation for
Statistical Computing, Vienna, Austria, https://www.R-project.org (last access: 13 July 2022), 2021.
Remund, D., Liebisch, F., Liniger, H. P., Heinimann, A., and Prasuhn, V.: The
origin of sediment and particulate phosphorus inputs into water bodies in the Swiss Midlands – A twenty-year field study of soil erosion, Catena, 203, 105290, https://doi.org/10.1016/j.catena.2021.105290, 2021.
Renard, K., Foster, G. R., Weesies, G. A., McCool, D. K., and Yoder, D. C.: Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (RUSLE), U.S: Government Printing Office, Washington, ISBN 9780160489389, 1997.
Saggau, P., Kuhwald, M., and Duttmann, R.: Integrating soil compaction impacts of tramlines into soil erosion modelling: A field-scale approach, Soil Syst., 3, 1–28, https://doi.org/10.3390/soilsystems3030051, 2019.
Schmidt, S., Alewell, C., Panagos, P., and Meusburger, K.: Regionalization of
monthly rainfall erosivity patternsin Switzerland, Hydrol. Earth Syst. Sci.,
20, 4359–4373, https://doi.org/10.5194/hess-20-4359-2016, 2016.
Schmidt, S., Ballabio, C., Alewell, C., Panagos, P., and Meusburger, K.:
Filling the European blank spot – Swiss soil erodibility assessment with
topsoil samples, J. Plant Nutr. Soil Sci., 181, 737–748,
https://doi.org/10.1002/jpln.201800128, 2018a.
Schmidt, S., Alewell, C., and Meusburger, K.: Mapping spatio-temporal
dynamics of the cover and management factor (C-factor) for grasslands in
Switzerland, Remote Sens. Environ., 211, 89–104,
https://doi.org/10.1016/j.rse.2018.04.008, 2018b.
Schönenberger, U. and Stamm, C.: Hydraulic shortcuts increase the
connectivity of arable land areas to surface waters, Hydrol. Earth Syst. Sci., 25, 1727–1746, https://doi.org/10.5194/hess-25-1727-2021, 2021.
Schürz, C., Mehdi, B., Kiesel, J., Schulz, K., and Herrnegger, M.: A
systematic assessment of uncertainties in large-scale soil loss estimation
from different representations of USLE input factors – a case study for Kenya and Uganda, Hydrol. Earth Syst. Sci., 24, 4463–4489,
https://doi.org/10.5194/hess-24-4463-2020, 2020.
Sherriff, S. C., Rowan, J. S., Fenton, O., Jordan, P., Melland, A. R.,
Mellander, P. E., and Huallacháin, D.: Storm Event Suspended Sediment-Discharge Hysteresis and Controls in Agricultural Watersheds:
Implications for Watershed Scale Sediment Management, Environ. Sci. Technol., 50, 1769–1778, https://doi.org/10.1021/acs.est.5b04573, 2016.
Starkloff, T. and Stolte, J.: Applied comparison of the erosion risk models
EROSION 3D and LISEM for a small catchment in Norway, Catena, 118, 154–167,
https://doi.org/10.1016/j.catena.2014.02.004, 2014.
Stenfert Kroese, J., Batista, P. V. G., Jacobs, S. R., Breuer, L., Quinton,
J. N., and Rufino, M. C.: Agricultural land is the main source of stream
sediments after conversion of an African montane forest, Sci. Rep., 10, 1–15, https://doi.org/10.1038/s41598-020-71924-9, 2020.
Stoll, S., von Arb, C., Jorg, C., Kopp, S., and Prasuhn, V.: Evaluation der
stark zur Phosphor-Belastung des Baldeggersees beitragenden Flächen,
https://www.agroscope.admin.ch/agroscope/fr/home/a-propos/collaborateurs/_jcr_content/par/externalcontent (last access: 14 February 2021), 2019.
Swisstopo: SwissALTI3D, Das hoch aufgelöste Terrainmodell der Schweiz,
https://www.swisstopo.admin.ch/de/geodata/height/alti3d.html
(last access: 26 November 2020), 2014a.
Swisstopo: Swissimage, Das digitale Farborthophotomosaik der Schweiz, https://www.swisstopo.admin.ch/de/geodata/images/ortho/swissimage10.html
(last access: 26 November 2020), 2014b.
Swisstopo: Swiss Map Vector 25 Beta, Das digitale Landschaftsmodell der
Schweiz, https://www.swisstopo.admin.ch/de/geodata/maps/smv/smv25.html
(last access: 26 November 2020), 2018.
Swisstopo: SwissTLM3D, Das grossmassstäbliche Topografische
Landschaftsmodell der Schweiz, https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html
(last access: 26 November 2020), 2020.
Teranes, J. L. and Bernasconi, S. M.: Factors controlling δ13C
values of sedimentary carbon in hypertrophic Baldeggersee, Switzerland, and
implications for interpreting isotope excursions in lake sedimentary records, Limnol. Oceanogr., 50, 914–922, https://doi.org/10.4319/lo.2005.50.3.0914, 2005.
Turnbull, L. and Wainwright, J.: From structure to function: Understanding
shrub encroachment in drylands using hydrological and sediment connectivity,
Ecol. Indic., 98, 608–618, https://doi.org/10.1016/j.ecolind.2018.11.039, 2019.
Van Oost, K., Govers, G., and Desmet, P. J. J.: Evaluating the effects of
changes in landscape structure on soil erosion by water and tillage, Landsc.
Ecol., 15, 577–589, https://doi.org/10.1023/A:1008198215674, 2000.
Van Rompaey, A., Verstraeten, G., Van Oost, K., Govers, G., and Poesen, J.:
Modelling mean annual sediment yield using a distributed approach, Earth Surf. Proc. Land., 26, 1221–1236, https://doi.org/10.1002/esp.275, 2001.
Verstraeten, G., Van Oost, K., Van Rompaey, A. J. J., Poesen, J., and Govers,
G.: Evaluating an integrated approach to catchment management to reduce soil
loss and sediment pollution through modelling, Soil Use Manage., 18, 386–394, https://doi.org/10.1111/j.1475-2743.2002.tb00257.x, 2010.
Vigiak, O. and Bende-Michl, U.: Estimating bootstrap and Bayesian prediction
intervals for constituent load rating curves, Water Resour. Res., 49, 8565–8578, https://doi.org/10.1002/2013WR013559, 2013.
von Arb, C., Stoll, S., Frossard, E., Stamm, C., and Prasuhn, V.: The time it
takes to reduce soil legacy phosphorus to a tolerable level for surface waters: What we learn from a case study in the catchment of Lake Baldegg,
Switzerland, Geoderma, 403, 115257, https://doi.org/10.1016/j.geoderma.2021.115257, 2021.
Wainwright, J., Turnbull, L., Ibrahim, T. G., Lexartza-Artza, I., Thornton,
S. F., and Brazier, R. E.: Linking environmental regimes, space and time:
Interpretations of structural and functional connectivity, Geomorphology,
126, 387–404, https://doi.org/10.1016/j.geomorph.2010.07.027, 2011.
Wehrli, B., Lotter, A. F., Schaller, T., and Sturm, M.: High-resolution varve
studies in Baldeggersee (Switzerland): Project overview and limnological
background data, Aquat. Sci., 59, 285–294, https://doi.org/10.1007/BF02522359, 1997.
Wilken, F., Fiener, P., and Van Oost, K.: Modelling a century of soil
redistribution processes and carbon delivery from small watersheds using a
multi-class sediment transport model, Earth Surf. Dynam., 5, 113–124,
https://doi.org/10.5194/esurf-5-113-2017, 2017.
Short summary
Patchy agricultural landscapes have a large number of small fields, which are separated by linear features such as roads and field borders. When eroded sediments are transported out of the agricultural fields by surface runoff, these features can influence sediment connectivity. By use of measured data and a simulation model, we demonstrate how a dense road network (and its drainage system) facilitates sediment transport from fields to water courses in a patchy Swiss agricultural catchment.
Patchy agricultural landscapes have a large number of small fields, which are separated by...