From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes

The agricultural production of maize (<i>Zea mays</i> L.) increases the risk of water erosion. Perennial crops like cup plant (<i>Silphium perfoliatum</i> L.) offer a sustainable alternative to produce biomass for biogas plants. The assessment of soil conservation measures re...

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Main Authors: Tobias Koch, Peter Aartsma, Detlef Deumlich, Peter Chifflard, Kerstin Panten
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Agronomy
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Online Access:https://www.mdpi.com/2073-4395/14/9/2097
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author Tobias Koch
Peter Aartsma
Detlef Deumlich
Peter Chifflard
Kerstin Panten
author_facet Tobias Koch
Peter Aartsma
Detlef Deumlich
Peter Chifflard
Kerstin Panten
author_sort Tobias Koch
collection DOAJ
description The agricultural production of maize (<i>Zea mays</i> L.) increases the risk of water erosion. Perennial crops like cup plant (<i>Silphium perfoliatum</i> L.) offer a sustainable alternative to produce biomass for biogas plants. The assessment of soil conservation measures requires calibrated soil erosion models that spatially identify soil erosion processes. These support decision-making by farmers and policymakers. Input parameters for the physically based soil erosion model EROSION 3D for cup plant cultivation were established in a field study. Rainfall simulation experiments were conducted to determine the model input parameter’s skinfactor and surface roughness. The results showed a reduction of soil erosion and higher infiltration rates for cup plant resulting in higher skinfactors of 11.5 in June and 0.75 post-harvest (cup plant) compared to 1.2 in June and 0.21 post-harvest (maize). With the extended parameter catalogue of EROSION 3D for cup plant cultivation model simulations were conducted for a rainfall event in June (64 mm). The sediment budget would have been reduced by 92.6% through the growth of cup plant in comparison to conventionally grown maize. Perennial cup plant can, therefore, contribute to achieving the targets outlined in the European Green Deal by reducing soil erosion and enhancing soil health.
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series Agronomy
spelling doaj-art-473d6ed791e747e68e09b60767fd53d12025-08-20T01:56:02ZengMDPI AGAgronomy2073-43952024-09-01149209710.3390/agronomy14092097From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion ProcessesTobias Koch0Peter Aartsma1Detlef Deumlich2Peter Chifflard3Kerstin Panten4Leibniz Centre for Agricultural Landscape Research (ZALF), 15374 Müncheberg, GermanyJulius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, 38116 Braunschweig, GermanyLeibniz Centre for Agricultural Landscape Research (ZALF), 15374 Müncheberg, GermanyDepartment for Geography, Philipps-University of Marburg, 35037 Marburg, GermanyJulius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, 38116 Braunschweig, GermanyThe agricultural production of maize (<i>Zea mays</i> L.) increases the risk of water erosion. Perennial crops like cup plant (<i>Silphium perfoliatum</i> L.) offer a sustainable alternative to produce biomass for biogas plants. The assessment of soil conservation measures requires calibrated soil erosion models that spatially identify soil erosion processes. These support decision-making by farmers and policymakers. Input parameters for the physically based soil erosion model EROSION 3D for cup plant cultivation were established in a field study. Rainfall simulation experiments were conducted to determine the model input parameter’s skinfactor and surface roughness. The results showed a reduction of soil erosion and higher infiltration rates for cup plant resulting in higher skinfactors of 11.5 in June and 0.75 post-harvest (cup plant) compared to 1.2 in June and 0.21 post-harvest (maize). With the extended parameter catalogue of EROSION 3D for cup plant cultivation model simulations were conducted for a rainfall event in June (64 mm). The sediment budget would have been reduced by 92.6% through the growth of cup plant in comparison to conventionally grown maize. Perennial cup plant can, therefore, contribute to achieving the targets outlined in the European Green Deal by reducing soil erosion and enhancing soil health.https://www.mdpi.com/2073-4395/14/9/2097soil erosionrainfall experimentEROSION 3Derosion modelingcup plantbiomass crop
spellingShingle Tobias Koch
Peter Aartsma
Detlef Deumlich
Peter Chifflard
Kerstin Panten
From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
Agronomy
soil erosion
rainfall experiment
EROSION 3D
erosion modeling
cup plant
biomass crop
title From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
title_full From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
title_fullStr From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
title_full_unstemmed From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
title_short From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes
title_sort from field to model determining erosion 3d model parameters for the emerging biomass plant i silphium perfoliatum i l to predict effects on water erosion processes
topic soil erosion
rainfall experiment
EROSION 3D
erosion modeling
cup plant
biomass crop
url https://www.mdpi.com/2073-4395/14/9/2097
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