Abstract
Hydrosedimentalogical models contribute to management of water resources, provided they are based on robust monitoring and calibration–validation strategies. The Limburg Soil Erosion Model (LISEM) properly represents runoff and sediment yield from watersheds with deep, clayey, weathered soils intensely occupied with grain production and dairy farming. Runoff and sediment yield in this agricultural environment have significant economic and off-site ecological importance, as the watersheds are connected to a large reservoir responsible for energy production and water supply. The objective of the study was to test whether LISEM is efficient in runoff and sediment yield modeling (calibration and validation) in paired watersheds with clayey weathered soils, under dairy cattle grazing and no-tillage grain production. The LISEM adequately represented runoff and erosion processes in the calibration phase (2018–2019), with Nash and Sutcliffe efficiency coefficient up to 0.94 and 0.92 for surface runoff, and 0.89 and 0.88 for sediment yield, respectively, for NW and SW watersheds. Some model parameters required significant adjustments, e.g., Ksat at 78.5% and 49.1%, initial soil moisture at 5.5% and 2.5%, soil cohesion at 24.1% and 4.6%, and aggregate stability at 21.4% and 4.6%, respectively for NW and SW watersheds. During the validation period (2020–2021), the model exhibited constraints in adequately representing the hydrosedimentological processes, with only a few rainfall events showing accurate results. Thus, for the utilization of a validated LISEM in future climate scenarios, the model still requires thorough scrutiny of the equations governing hydrology and erosion processes, along with continued monitoring and further model parameterization.
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References
Ali FH, Osman N (2008) Shear strength of a soil containing vegetation roots. Soils Found 48(4):587–596. https://doi.org/10.3208/sandf.48.587
Alvares CA, Stape JL, Sentelhas P, De Moraes GJL, Sparovek G (2013) Köppen’s climate classification map for Brazil. Meteorol Z 22(6):711–728. https://doi.org/10.1127/0941-2948/2013/0507
Alves AR, Holthusen D, Reichert JM, Sarfaraz Q, da Silva LS (2021) Biochar amendment effects on microstructure resistance of a sandy loam soil under oscillatory stress. J Soil Sci Plant Nutr 21(2):967–977. https://doi.org/10.1007/s42729-021-00414-2
Ambus JV, Reichert JM, Gubiani PI, de Faccio Carvalho PC (2018) Changes in composition and functional soil properties in long-term no-till integrated crop-livestock system. Geoderma 330:232–243. https://doi.org/10.1016/j.geoderma.2018.06.005
Ambus JV, Awe GO, Faccio de Carvalho PC, Reichert JM (2023) Integrated crop-livestock systems in lowlands with rice cultivation improve root environment and maintain soil structure and functioning. Soil Tillage Res 227:105592. https://doi.org/10.1016/j.still.2022.105592
Awe GO, Reichert JM, Timm LC, Wendroth OO (2015) Temporal processes of soil water status in a sugarcane field under residue management. Plant Soil 387(1–2):395–411. https://doi.org/10.1007/s11104-014-2304-5
Awe GO, Reichert JM, Fontanela E (2020) Sugarcane production in the subtropics: seasonal changes in soil properties and crop yield in no-tillage, inverting and minimum tillage. Soil Tillage Res 196:104447. https://doi.org/10.1016/j.still.2019.104447
Batistão AC, Holthusen D, Reichert JM, Portela JC (2020a) Soil solution composition affects microstructure of tropical saline alluvial soils in semi-arid environment. Soil Tillage Res 203:104662. https://doi.org/10.1016/j.still.2020.104662
Batistão AC, Holthusen D, Reichert JM, Santos LAC, Campos MCC (2020b) Resilience and microstructural resistance of Archaeological Dark Earths with different soil organic carbon contents in Western Amazonia. Brazil Geoderma 363:114130. https://doi.org/10.1016/j.geoderma.2019.114130
Bazani JH, Zaghi G, Batistuzzo B, Rosária A, Zucon S (2016) Qualidade silvicultural: a fertilização de base e sua influência no desenvolvimento inicial de plantações de eucalipto. Série Técnica IPEF 24:11–20
Bendito BPC, Chaves HML, Scariot A (2023) Erosion and sedimentation processes in a semi-arid basin of the Brazilian Savanna under different land use, climate change, and conservation scenarios. Water 15(3):563. https://doi.org/10.3390/w15030563
Biondi D, Freni G, Iacobellis V, Mascaro G, Montanari A (2012) Validation of hydrological models: conceptual basis, methodological approaches and a proposal for a code of practice. Phys Chem Earth 42–44:70–76. https://doi.org/10.1016/j.pce.2011.07.037
Braida JA, Reichert JM, Reinert DJ, Soares JMD (2007a) Coesão e atrito interno associados aos teores de carbono orgânico e de água de um solo franco arenoso. Cienc Rural 37(6):1646–1653. https://doi.org/10.1590/S0103-84782007000600022
Braida JA, Reichert JM, Soares JMD, Reinert DJ (2007b) Resistência inter e intra-agregados em ensaios de cisalhamento direto de um nitossolo vermelho distrófico. Rev Bras Cienc Solo 31(2):379–386. https://doi.org/10.1590/s0100-06832007000200020
Capurro EPG, Secco D, Reichert JM, Reinert DJ (2014) Compressibilidade e elasticidade de um Vertissolo afetado pela intensidade de pastejo bovino. Cienc Rural 44(2):283–288. https://doi.org/10.1590/S0103-84782014000200014
Cecagno D, de Andrade Costa SEVG, Anghinoni I, Kunrath TR, Martins AP, Reichert JM, de Faccio Carvalho PC (2016) Least limiting water range and soybean yield in a long-term, no-till, integrated crop-livestock system under different grazing intensities. Soil Tillage Res 156:54–62. https://doi.org/10.1016/j.still.2015.10.005
Collares GL, Reinert DJ, Reichert JM, Kaiser DR (2011) Compactação superficial de Latossolos sob integração lavoura - pecuária de leite no noroeste do Rio Grande do Sul. Ciencia Rural 41(2):246–250. https://doi.org/10.1590/S0103-84782011000200011
Daggupati P, Pai N, Ale S, Douglas-Mankin KR, Zeckoski RW, Jeong J, Youssef MA (2015) A recommended calibration and validation strategy for hydrologic and water quality models. Trans ASABE 58(6):1705–1719. https://doi.org/10.13031/trans.58.10712
de Barros CAP, Minella JPG, Dalbianco L, Ramon R (2014) Description of hydrological and erosion processes determined by applying the LISEM model in a rural catchment in southern Brazil. J Soils Sediment 14(7):1298–1310. https://doi.org/10.1007/s11368-014-0903-7
de Barros CAP, Govers G, Minella JPG, Ramon R (2021a) How water flow components affect sediment dynamics modeling in a Brazilian catchment. J Hydrol 597:126111. https://doi.org/10.1016/j.jhydrol.2021.126111
de Barros CAP, Minella JPG, Schlesner AA, Ramon R, Copetti AC (2021b) Impact of data sources to DEM construction and application to runoff and sediment yield modelling using LISEM model. J Earth Syst Sci 130:53. https://doi.org/10.1007/s12040-020-01547-1
De Roo APJ, Jetten VG (1999) Calibrating and validating the LISEM model for two data sets from the Netherlands and South Africa. CATENA 37(3–4):477–493. https://doi.org/10.1016/S0341-8162(99)00034-X
De Roo APJ, Offermans RJE, Cremers NHDT (1996) LISEM: a single-event, physically based hydrological and soil erosion model for drainage basins. II: Sensitivity analysis, validation and application. Hydrol Process 10(8):1119–1126. https://doi.org/10.1002/(sici)1099-1085(199608)10:8<1119::aid-hyp416>3.0.co;2-v
Demir V, Keskin AÜ (2020) Obtaining the manning roughness with terrestrial-remote sensing technique and flood modeling using FLO-2D: a case study Samsun from Turkey. Geofizika 37(2):131–156. https://doi.org/10.15233/gfz.2020.37.9
Denissen JMC, Orth R, Wouters H, Miralles DG, van Heerwaarden CC, de Arellano JVG, Teuling AJ (2021) Soil moisture signature in global weather balloon soundings. Npj Clim Atmos Sci 4:13. https://doi.org/10.1038/s41612-021-00167-w
Di Prima S, Stewart RD, Castellini M, Bagarello V, Abou Najm MR, Pirastru M, Lassabatere L (2020) Estimating the macroscopic capillary length from Beerkan infiltration experiments and its impact on saturated soil hydraulic conductivity predictions. J Hydrol 589:125159. https://doi.org/10.1016/j.jhydrol.2020.125159
Dong L, Si T, Li YE, Zou XX (2021) The effect of conservation tillage in managing climate change in arid and semiarid areas—a case study in Northwest China. Mitig Adapt Strateg Glob Change 26(4):17. https://doi.org/10.1007/s11027-021-09956-3
dos Santos RCV, Vargas MM, Timm LC, Beskow S, Siqueira TM, Mello CR, Reichardt K (2021) Examining the implications of spatial variability of saturated soil hydraulic conductivity on direct surface runoff hydrographs. CATENA 207:105693. https://doi.org/10.1016/j.catena.2021.105693
Ebling ÉD, Reichert JM, Zuluaga Peláez JJ, Rodrigues MF, Valente ML, Lopes Cavalcante RB, Srinivasan R (2021) Event-based hydrology and sedimentation in paired watersheds under commercial eucalyptus and grasslands in the Brazilian Pampa biome. Int Soil Water Conserv Res 9(2):180–194. https://doi.org/10.1016/j.iswcr.2020.10.008
Fagundes JL, da Silva SC, Pedreira CGS, Sbrissia AF, Carnevalli RA, de Carvalho CB, Pinto LFM (1999) Índice de área foliar, interceptação luminosa e acúmulo de forragem em pastagens de Cynodon spp. Sob diferentes intensidades de pastejo. Sci Agric 56(4):1141–1150. https://doi.org/10.1590/S0103-90161999000500016
Feki M, Ravazzani G, Barontin S, Ceppi A, Mancini M (2020) A comparative assessment of the estimates of the saturated hydraulic conductivity of two anthropogenic soils and their impact on hydrological model simulations. Soil Water Res 15(3):135–147. https://doi.org/10.17221/33/2019-SWR
Ferreira EA, Concenço G, Silva AA, Reis MR, Vargas L, Viana RG, Galon L (2008) Potencial competitivo de biótipos de azevém (Lolium multiflorum). Planta Daninha 26(2):261–269. https://doi.org/10.1590/s0100-83582008000200002
Grum B, Woldearega K, Hessel R, Baartman JEM, Abdulkadir M, Yazew E, Geissen V (2017) Assessing the effect of water harvesting techniques on event-based hydrological responses and sediment yield at a catchment scale in northern Ethiopia using the Limburg Soil Erosion Model (LISEM). CATENA 159:20–34. https://doi.org/10.1016/j.catena.2017.07.018
Gubiani PI, Reinert DJ, Reichert JM, Gelain NS, Minella JPG (2010) Falling head permeameter and software to determine the hydraulic conductivity of saturated soil. Rev Bras Cienc Solo 34(3):993–997. https://doi.org/10.1590/s0100-06832010000300041
Haan CT, Barfield BJ, Hayes J (1993) Design hydrology and sedimentology for small catchments. Academic Press, Cambridge
Hargreaves PR, Baker KL, Graceson A, Bonnett S, Ball BC, Cloy JM (2019) Soil compaction effects on grassland silage yields and soil structure under different levels of compaction over three years. Eur J Agron 109:125916. https://doi.org/10.1016/j.eja.2019.125916
He Y, Gu F, Xu C, Wang, (2019) Assessing of the influence of organic and inorganic amendments on the physical-chemical properties of a red soil (Ultisol) quality. CATENA 183:104231. https://doi.org/10.1016/j.catena.2019.104231
Herrera PA, Marazuela MA, Hofmann T (2022) Parameter estimation and uncertainty analysis in hydrological modeling. Wiley Interdiscip Rev: Water 9(1):e1569
Hessel R (2005) Effects of grid cell size and time step length on simulation results of the Limburg soil erosion model (LISEM). Hydrol Process 19:3037–3049. https://doi.org/10.1002/hyp.5815
Hessel R, Tenge A (2008) A pragmatic approach to modelling soil and water conservation measures with a catchment scale erosion model. CATENA 74(2):119–126. https://doi.org/10.1016/j.catena.2008.03.018
Holthusen D, Batistão AC, Reichert JM (2020) Amplitude sweep tests to comprehensively characterize soil micromechanics: brittle and elastic interparticle bonds and their interference with major soil aggregation factors organic matter and water content. Rheol Acta 59(8):545–563. https://doi.org/10.1007/s00397-020-01219-3
Holthusen D, Brandt AA, Reichert JM, Horn R (2018a) Soil porosity, permeability and static and dynamic strength parameters under native forest/grassland compared to no-tillage cropping. Soil Tillage Res 177:113–124. https://doi.org/10.1016/j.still.2017.12.003
Holthusen D, Brandt AA, Reichert JM, Horn R, Fleige H, Zink A (2018b) Soil functions and in situ stress distribution in subtropical soils as affected by land use, vehicle type, tire inflation pressure and plant residue removal. Soil Tillage Res 184:78–92. https://doi.org/10.1016/j.still.2018.07.009
Holthusen D, Pértile P, Reichert JM, Horn R (2019) Viscoelasticity and shear resistance at the microscale of naturally structured and homogenized subtropical soils under undefined and defined normal stress conditions. Soil Tillage Res 191:282–293. https://doi.org/10.1016/j.still.2019.04.014
Huo W, Li Z, Wang J, Yao C, Zhang K, Huang Y (2019) Multiple hydrological models comparison and an improved Bayesian model averaging approach for ensemble prediction over semi-humid regions. Stoch Environ Res Risk Assess 33(1):217–238. https://doi.org/10.1007/s00477-018-1600-7
Jakelaitis A, da Silva AA, da Silva AF, da Silva LL, Ferreira LR, Vivian R (2006) Efeitos de erbicidas no controle de plantas daninhas, crescimento e produção de milho e Brachiaria brizantha em consórcio. Pesqui Agropecu Trop 36:53–60
Jerszurki L, Schultz GB, Jerszurki D, dos Santos I (2021) Sensitivity analysis of the OpenLISEM model: calibration for an unpaved road in Southern Brazil. Model Earth Syst Environ 8:3089–3102. https://doi.org/10.1007/s40808-021-01288-0
Jetten V (2002) LISEM user manual, version 2.x. Utrecht University, Utrecht
Krysanova V, Hattermann FF, Kundzewicz Z (2020) How evaluation of hydrological models influences results of climate impact assessment—an editorial. Clim Change 163(3):1121–1141. https://doi.org/10.1007/s10584-020-02927-8
Kumari N, Srivastava A, Sahoo B, Raghuwanshi NS, Bretreger D (2021) Identification of suitable hydrological models for streamflow assessment in the Kangsabati River Basin, India, by using different model selection scores. Nat Resour Res 30(6):4187–4205. https://doi.org/10.1007/s11053-021-09919-0
Kværnø SH, Stolte J (2012) Effects of soil physical data sources on discharge and soil loss simulated by the LISEM model. CATENA 97:137–149. https://doi.org/10.1016/j.catena.2012.05.001
Ly HB, Nguyen TA, Pham BT (2021) Estimation of soil cohesion using machine learning method: a random forest approach. Adv Civil Eng 2021:8873993. https://doi.org/10.1155/2021/8873993
Mamo M, Bubenzer GD (2001) Detachment rate, soil erodibility, and soil strength as influenced by living plant roots. Part I: laboratory study. Trans ASABE 44(5):1167–1174
Manikanta V, Umamahesh NV (2023) Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling. J Water Clim Change 14(7):2277–2293. https://doi.org/10.2166/wcc.2023.043
Mao Z, Saint-André L, Genet M, Mine FX, Jourdan C, Rey H, Stokes A (2012) Engineering ecological protection against landslides in diverse mountain forests: choosing cohesion models. Ecol Eng 45:55–69. https://doi.org/10.1016/j.ecoleng.2011.03.026
Mashalaba L, Galleguillos M, Seguel O, Poblete-Olivares J (2020) Predicting spatial variability of selected soil properties using digital soil mapping in a rainfed vineyard of central Chile. Geoderma Reg 22:e00289. https://doi.org/10.1016/j.geodrs.2020.e00289
Minella JPG, Merten GH, Walling DE, Reichert JM (2009) Changing sediment yield as an indicator of improved soil management practices in southern Brazil. CATENA 79(3):228–236. https://doi.org/10.1016/j.catena.2009.02.020
Moges E, Demissie Y, Larsen L, Yassin F (2021) Review: sources of hydrological model uncertainties and advances in their analysis. Water 13(1):28. https://doi.org/10.3390/w13010028
Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K, Chisci G, Torri D, Styczen ME, Folly AJV (1998) The European Soil Erosion Model (EUROSEM): documentation and user guide. Cranfield University.
Moriasi DN, Arnold G, van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50(3):885–900
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I - A discussion of principles. J Hydrol 10(3):282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Pappenberger F, Beven KJ (2004) Functional classification and evaluation of hydrographs based on Multicomponent Mapping (Mx). Int J River Basin Manag 2(2):89–100. https://doi.org/10.1080/15715124.2004.9635224
Peixoto DWB, Pereira Filho W, dos Santos FC (2015). Transparência da água do reservatório Passo Real e fator de reflectância em imagens do sensor Moderate Resolution Imaging Spectroradiometer-Modis. Geo UERJ 26:288–300. https://doi.org/10.12957/geouerj.2015.12944
Peixoto DWB, Guasselli LA, Filho WP (2017) Influência da precipitação pluviométrica nos valores de reflectância da água, no reservatório Passo Real-RS. Rev Bras Cartogr 69(3):495–503
Pértile P, Holthusen D, Gubiani PI, Reichert JM (2018) Microstructural strength of four subtropical soils evaluated by rheometry: properties, difficulties and opportunities. Sci Agric 75(2):154–162. https://doi.org/10.1590/1678-992x-2016-0267
Picciafuoco T, Morbidelli R, Flammini A, Saltalippi C, Corradini C, Strauss P, Blöschl G (2019) On the estimation of spatially representative plot scale saturated hydraulic conductivity in an agricultural setting. J Hydrol 570:106–117. https://doi.org/10.1016/j.jhydrol.2018.12.044
Ran Y, Wu S, Zhu K, Li W, Liu Z, Huang P (2020) Soil types differentiated their responses of aggregate stability to hydrological stresses at the riparian zones of the Three Gorges Reservoir. J Soils Sediments 20(2):951–962. https://doi.org/10.1007/s11368-019-02410-7
Ran Y, Ma M, Liu Y, Zhou Y, Sun X, Wu S, Huang P (2021) Hydrological stress regimes regulate effects of binding agents on soil aggregate stability in the riparian zones. CATENA 196:104815. https://doi.org/10.1016/j.catena.2020.104815
Reichert JM, Norton LD (1994) Aggregate stability and rain-impacted sheet erosion of air-dried and prewetted clayey surface soils under intense rain. Soil Sci 158:159–169. https://doi.org/10.1097/00010694-199409000-00001
Reichert JM, Norton LD (2013) Rill and interrill erodibility and sediment characteristics of clayey Australian Vertosols and a Ferrosol. Soil Res 51(1):1–9. https://doi.org/10.1071/SR12243
Reichert JM, Norton LD, Huang C (1994) Sealing, amendment, and rain intensity effects on erosion of high-clay soils. Soil Sci so Am J 58:1199–1205. https://doi.org/10.2136/sssaj1994.03615995005800040028x
Reichert JM, Schäfer MJ, Eltz FLF, Norton LD (2001) Erosão em sulcos e entressulcos em razão do formato de parcela em Argissolo Vermelho-Amarelo arênico. Pesq Agropecu Bras 36(7):965–973. https://doi.org/10.1590/s0100-204x2001000700006
Reichert JM, Norton LD, Favaretto N, Huang C, Blume E (2009) Settling velocity, aggregate stability, and interrill erodibility of soils varying in clay mineralogy. Soil Sci Soc Am J 73(4):1369–1377. https://doi.org/10.2136/sssaj2007.0067
Reichert JM, da Rosa VT, Vogelmann ES, da Rosa DP, Horn R, Reinert DJ, Denardin JE (2016) Conceptual framework for capacity and intensity physical soil properties affected by short and long-term (14 years) continuous no-tillage and controlled traffic. Soil Tillage Res 158:123–136. https://doi.org/10.1016/j.still.2015.11.010
Reichert JM, Rodrigues MF, Peláez JJZ, Lanza R, Minella JPG, Arnold JG, Cavalcante RBL (2017) Water balance in paired watersheds with eucalyptus and degraded grassland in Pampa biome. Agric for Meteorol 237–238:282–295. https://doi.org/10.1016/j.agrformet.2017.02.014
Reichert JM, Prevedello J, Gubiani PI, Vogelmann ES, Reinert DJ, Consensa COB, Soares JCW, Srinivasan R (2021) Eucalyptus tree stockings effect on water balance and use efficiency in subtropical sandy soil. For Ecol Manag 497:119473. https://doi.org/10.1016/j.foreco.2021.119473
Reichert JM, Corcini AL, Awe GO, Reinert DJ, Albuquerque JA, García Gallarreta CC, Docampo R (2022a) Onion-forage cropping systems on a Vertic Argiudoll in Uruguay: onion yield and soil organic matter, aggregation, porosity and permeability. Soil Tillage Res 216:105229. https://doi.org/10.1016/j.still.2021.105229
Reichert JM, Gubiani PI, Rheinheimer dos Santos D, Reinert DJ, Aita C, Giacomini SJ (2022b) Soil properties characterization for land-use planning and soil management in watersheds under family farming. Int Soil Water Conserv Res 10(1):119–128. https://doi.org/10.1016/j.iswcr.2021.05.003
Rodrigues MF, Reichert JM, Minella JPG, Dalbianco L, Ludwig RL, Ramon R, Borges Júnior N (2014) Hydrosedimentology of nested subtropical watersheds with native and eucalyptus forests. J Soils Sediments 14(7):1311–1324. https://doi.org/10.1007/s11368-014-0885-5
Rodrigues FAV, Víctor HA, de Barros NF, da Silva IR, Neves JCL (2016) Produtividade de eucalipto aos 18 meses de idade, na região do Cerrado, em resposta à aplicação de cálcio, via calcário e gesso agrícola. Sci For 44(109):67–74. https://doi.org/10.18671/scifor.v44n109.06
Salehpour Jam A, Mosaffaie J, Tabatabaei MR (2021) Assessment of comprehensiveness of soil conservation measures using the DPSIR framework. Environ Monit Assess 193:42. https://doi.org/10.1007/s10661-020-08785-2
Sangoi L, Schweitzer C, Ferreira da Silva PR, Schmitt A, Vargas VP, Trezzi Casa R, Arruda de Souza C (2011) Perfilhamento, área foliar e produtividade do milho sob diferentes arranjos espaciais. Pesq Agropecu Bras 46(6):609–616. https://doi.org/10.1590/S0100-204X2011000600006
Sarchani S, Awol FS, Tsanis I (2021) Hydrological analysis of extreme rain events in a medium-sized basin. Appl Sci 11(11):2–29. https://doi.org/10.3390/app11114901
Schmidt KM, Roering JJ, Stock JD, Dietrich WE, Montgomery DR, Schaub T (2001) The variability of root cohesion as an influence on shallow landslide susceptibility in the Oregon Coast Range. Can Geotech J 38(5):995–1024. https://doi.org/10.1139/cgj-38-5-995
Secco D, Reinert DJ, Reichert JM, da Silva VR (2009) Atributos físicos e rendimento de grãos de trigo, soja e milho em dois Latossolos compactados e escarificados. Cienc Rural 39(1):58–64. https://doi.org/10.1590/S0103-84782009000100010
Sheikh V, van Loon E, Hessel R, Jetten V (2010) Sensitivity of LISEM predicted catchment discharge to initial soil moisture content of soil profile. J Hydrol 393(3–4):174–185. https://doi.org/10.1016/j.jhydrol.2010.08.016
Shen Y, Wang S, Zhang B, Zhu J (2022) Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction. J Hydrol 608:127683. https://doi.org/10.1016/j.jhydrol.2022.127683
Shreve EA, Downs AC (2005) Quality-assurance plan for the analysis of fluvial sediment by the U.S. Geological Survey Kentucky Water Science Center Sediment Laboratory. Geological Survey Open-File Report 2005-1230, (Geol. Surv. Open-File Rep. 2005-1230), 28 p.
Silva CC, Minella JPG, Schlesner A, Merten GH, Barros CAP, Tassi R, Dambroz APB (2021) Unpaved road conservation planning at the catchment scale. Environ Monit Assess 193(9):595. https://doi.org/10.1007/s10661-021-09398-z
Sperandio DG, Gomes CH, Viçozzi AP (2020) Mapa geológico interativo: proposta para ensino de Geociências. Terrae Didat 16: e020019. https://doi.org/10.20396/td.v16i0.8658885
Starkloff T, Stolte J, Hessel R, Ritsema C, Jetten V (2018) Integrated, spatial distributed modelling of surface runoff and soil erosion during winter and spring. CATENA 166:147–157. https://doi.org/10.1016/j.catena.2018.04.001
Stokes A, Atger C, Bengough AG, Fourcaud T, Sidle RC (2009) Desirable plant root traits for protecting natural and engineered slopes against landslides. Plant Soil 324(1):1–30. https://doi.org/10.1007/s11104-009-0159-y
Suman A, Vulpio A, Casari N, Pinelli M (2021) Outstretching population growth theory towards surface contamination. Powder Technol 394:597–607. https://doi.org/10.1016/j.powtec.2021.08.071
Sun L, Zhang G, Luan L, Liu F (2016) Temporal variation in soil resistance to flowing water erosion for soil incorporated with plant litters in the Loess Plateau of China. CATENA 145:239–245. https://doi.org/10.1016/j.catena.2016.06.016
Suzuki LEAS, Reichert JM, Reinert DJ (2013) Degree of compactness, soil physical properties and yield of soybean in six soils under no-tillage. Soil Res 51(4):311–321. https://doi.org/10.1071/SR12306
Suzuki LEAS, Reichert JM, Albuquerque JA, Reinert DJ, Kaiser DR (2015) Dispersion and flocculation of Vertisols, Alfisols and Oxisols in Southern Brazil. Geoderma Reg 5:64–70. https://doi.org/10.1016/j.geodrs.2015.03.005
Takken I, Beuselinck L, Nachtergaele J, Govers G, Poesen J, Degraer G (1999) Spatial evaluation of a physically-based distributed erosion model (LISEM). CATENA 37(3–4):431–447. https://doi.org/10.1016/S0341-8162(99)00031-4
Terêncio DPS, Cortes RMV, Pacheco FAL, Moura JP, Fernandes LFS (2020) A method for estimating the risk of dam reservoir silting in fire-prone watersheds: a study in Douro river. Portugal Water 12(11):2–13. https://doi.org/10.3390/w12112959
Tian X, Engel BA, Qian H, Hua E, Sun S, Wang Y (2021) Will reaching the maximum achievable yield potential meet future global food demand? J Clean Prod 294:126285. https://doi.org/10.1016/j.jclepro.2021.126285
Twarakavi NKC, Sakai M, Šimůnek J (2009) An objective analysis of the dynamic nature of field capacity. Water Resour Res 45(10):W10410. https://doi.org/10.1029/2009WR007944
Van Dijk PM, Kwaad FJPM (1996) Runoff generation and soil erosion in small agricultural catchments with loess-derived soils. Hydrol Process 10(8):1049–1059. https://doi.org/10.1002/(sici)1099-1085(199608)10:8%3c1049::aid-hyp410%3e3.3.co;2-3
Vargas MM, Beskow S, de Mello CR, de Moura MM, Nunes MCM, Faria LC, Aquino LS (2021) Capability of LISEM to estimate flood hydrographs in a watershed with predominance of long-duration rainfall events. Nat Hazards 109(1):593–614. https://doi.org/10.1007/s11069-021-04850-2
Vogelmann ES, Reichert JM, Prevedello J, Awe GO, Mataix-Solera J (2013) Can occurrence of soil hydrophobicity promote the increase of aggregates stability? CATENA 110:24–31. https://doi.org/10.1016/j.catena.2013.06.009
Vogelmann ES, Reichert JM, Prevedello J, Awe GO, Cerdà A (2017) Soil moisture influences sorptivity and water repellency of topsoil aggregates in native grasslands. Geoderma 305:374–381. https://doi.org/10.1016/j.geoderma.2017.06.024
Wu J, Nunes JP, Baartman JEM, Faúndez Urbina CA (2021) Testing the impacts of wildfire on hydrological and sediment response using the OpenLISEM model. Part 1: Calibration and evaluation for a burned Mediterranean forest catchment. CATENA 207:105658. https://doi.org/10.1016/j.catena.2021.105658
Zhang L, Yan WM, Leung FTY (2021) Probabilistic estimation of root cohesion in regards to intra-specific variability of root system. CATENA 196:104898. https://doi.org/10.1016/j.catena.2020.104898
Zhou W-H, Qi X-H (2019) Root cohesion estimation of riparian trees based on model uncertainty characterization. J Mater Civ Eng 31(2):04018389. https://doi.org/10.1061/(asce)mt.1943-5533.0002600
Acknowledgements
We thank the Coordination for the Improvement of Higher Education Personnel - Finance code 001; INCT - Agricultura de Baixa Emissão de Carbono (CNPq 406635/2022-6); RITES - Agropecuária de Baixo Carbono e Adaptada às Mudanças Climáticas no Rio Grande do Sul (Fapergs 22/2551-0000392-3); and Instituto Federal do Rio Grande do Sul (IFRS). We also thank the farmers Egon Scheffler and Leandro Lamb for allowing the use of their farms for this study; students from the IFRS, from Ibirubá-RS, who contributed with field work; and Dr. J.E. Denardin for providing information on the stream gauges installed in the studied watersheds.
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Ebling, É.D., Althoff, I. & Reichert, J.M. Hydrosedimentology of paired watersheds with clayey soils under cattle grazing and no-tillage cropping: LISEM calibration and validation. Int. J. Environ. Sci. Technol. (2024). https://doi.org/10.1007/s13762-024-05603-x
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DOI: https://doi.org/10.1007/s13762-024-05603-x