Articles | Volume 11, issue 6
https://doi.org/10.5194/esurf-11-1161-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-11-1161-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effects of seasonal variations in vegetation and precipitation on catchment erosion rates along a climate and ecological gradient: insights from numerical modeling
Hemanti Sharma
Department of Geosciences, University of Tübingen, Schnarrenbergstr. 94–96, 72076 Tübingen, Germany
Department of Geosciences, University of Tübingen, Schnarrenbergstr. 94–96, 72076 Tübingen, Germany
School of Geographical and Earth Sciences, University of Glasgow, Glasgow, Scotland
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The thickness of palaeo-ice on the calving front around the LGM was estimated to be at least 305 to 320 m.
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Andrea Madella, Christoph Glotzbach, and Todd A. Ehlers
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Mirjam Schaller and Todd A. Ehlers
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Emilija Krsnik, Katharina Methner, Marion Campani, Svetlana Botsyun, Sebastian G. Mutz, Todd A. Ehlers, Oliver Kempf, Jens Fiebig, Fritz Schlunegger, and Andreas Mulch
Solid Earth, 12, 2615–2631, https://doi.org/10.5194/se-12-2615-2021, https://doi.org/10.5194/se-12-2615-2021, 2021
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Sean D. Willett, Frédéric Herman, Matthew Fox, Nadja Stalder, Todd A. Ehlers, Ruohong Jiao, and Rong Yang
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Solmaz Mohadjer, Sebastian G. Mutz, Matthew Kemp, Sophie J. Gill, Anatoly Ischuk, and Todd A. Ehlers
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Lack of access to science-based natural hazards information impedes the effectiveness of school-based disaster risk reduction education. To address this challenge, we created and classroom tested a series of earthquake education videos that were co-taught by school teachers and Earth scientists in the UK and Tajikistan. Comparison of the results reveals significant differences between students' views on the Earth's interior and why and where earthquakes occur.
Cited articles
Avdeev, B., Niemi, N. A., and Clark, M. K.: Doing more with less: Bayesian estimation of erosion models with detrital thermochronometric data, Earth Planet. Sc. Lett., 305, 385–395, https://doi.org/10.1016/j.epsl.2011.03.020, 2011.
Beaudoing, H., Rodell, M., and NASA/GSFC/HSL: GLDAS Noah Land Surface Model L4 monthly 0.25 × 0.25 degree, Version 2.1, GES DISC [data set], https://doi.org/10.5067/SXAVCZFAQLNO, 2020.
Bernhard, N., Moskwa, L.-M., Schmidt, K., Oeser, R. A., Aburto, F., Bader, M. Y., Baumann, K., von Blanckenburg, F., Boy, J., van den Brink, L., Brucker, E., Büdel, B., Canessa, R., Dippold, M. A., Ehlers, T. A., Fuentes, J. P., Godoy, R., Jung, P., Karsten, U., Köster, M., Kuzyakov, Y., Leinweber, P., Neidhardt, H., Matus, F., Mueller, C. W., Oelmann, Y., Oses, R., Osses, P., Paulino, L., Samolov, E., Schaller, M., Schmid, M., Spielvogel, S., Spohn, M., Stock, S., Stroncik, N., Tielbörger, K., Übernickel, K., Scholten, T., Seguel, O., Wagner, D., and Kühn, P.: Pedogenic and microbial interrelations to regional climate and local topography: New insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile, Catena, 170, 335–355, https://doi.org/10.1016/j.catena.2018.06.018, 2018.
Bookhagen, B., Thiede, R. C., and Strecker, M. R.: Abnormal monsoon years and their control on erosion and sediment flux in the high, arid northwest Himalaya, Earth Planet. Sc. Lett., 231, 131–146, https://doi.org/10.1016/j.epsl.2004.11.014, 2005.
Brown, C. E.: Coefficient of Variation, in: Applied Multivariate Statistics in Geohydrology and Related Sciences, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-80328-4_13, 1998.
Buendia, C., Vericat, D., Batalla, R. J., and Gibbins, C. N.: Temporal Dynamics of Sediment Transport and Transient In-channel Storage in a Highly Erodible Catchment: Linking sediment sources, rainfall patterns and sediment yield, Land Degrad. Dev., 27, 1045–1063, https://doi.org/10.1002/ldr.2348, 2016.
Carretier, S., Tolorza, V., Regard, V., Aguilar, G., Bermúdez, M. A., Martinod, J., Guyot, J.-L., Hérail, G., and Riquelme, R.: Review of erosion dynamics along the major N-S climatic gradient in Chile and perspectives, Geomorphology, 300, 45–68, https://doi.org/10.1016/j.geomorph.2017.10.016, 2018.
Cerdà, A.: The influence of aspect and vegetation on seasonal changes in erosion under rainfall simulation on a clay soil in Spain, Can. J. Soil Sci., 78, 321–330, https://doi.org/10.4141/S97-060, 1998.
Chakrapani, G. J.: Factors controlling variations in river sediment loads, Curr. Sci., 88, 569–575, 2005.
Dal Bo, I., Klotzsche, A., Schaller, M., Ehlers, T. A., Kaufmann, M. S., Fuentes Espoz, J. P., Vereecken, H., and Van Der Kruk, J.: Geophysical imaging of regolith in landscapes along a climate and vegetation gradient in the Chilean coastal cordillera, Catena, 180, 146–159, https://doi.org/10.1016/j.catena.2019.04.023, 2019.
Deal, E., Favre, A. C., and Braun, J.: Rainfall variability in the Himalayan orogen and its relevance to erosion processes: Rainfall variability in the Himalayas, Water Resour. Res., 53, 4004–4021, https://doi.org/10.1002/2016WR020030, 2017.
Didan, K.: MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006, USGS [data set], https://doi.org/10.5067/MODIS/MOD13Q1.006, 2015.
Earth Resources Observation And Science (EROS) Center: Shuttle Radar Topography Mission (SRTM) Void Filled, https://doi.org/10.5066/F7F76B1X, 2017.
Fernandes, N. F. and Dietrich, W. E.: Hillslope evolution by diffusive processes: The timescale for equilibrium adjustments, Water Resour. Res., 33, 1307–1318, https://doi.org/10.1029/97wr00534, 1997.
Ferreira, V. and Panagopoulos, T.: Seasonality of Soil Erosion Under Mediterranean Conditions at the Alqueva Dam Watershed, Environ. Manage., 54, 67–83, https://doi.org/10.1007/s00267-014-0281-3, 2014.
Gabarrón-Galeote, M. A., Martínez-Murillo, J. F., Quesada, M. A., and Ruiz-Sinoga, J. D.: Seasonal changes in the soil hydrological and erosive response depending on aspect, vegetation type and soil water repellency in different Mediterranean microenvironments, Solid Earth, 4, 497–509, https://doi.org/10.5194/se-4-497-2013, 2013.
Gao, P., Li, Z., and Yang, H.: Variable discharges control composite bank erosion in Zoige meandering rivers, Catena, 204, 105384, https://doi.org/10.1016/j.catena.2021.105384, 2021.
Garatuza-Payán, J., Sánchez-Andrés, R., Sánchez-Carrillo, S., and Navarro, J. M.: Using remote sensing to investigate erosion rate variability in a semiarid watershed, due to changes in vegetation cover, IAHS-AISH P., 292, 144–151, 2005.
Glodny, J., Gräfe, K., Echtler, H., and Rosenau, M.: Mesozoic to Quaternary continental margin dynamics in South-Central Chile (36–42∘ S): the apatite and zircon fission track perspective, Int. J. Earth Sci., 97, 1271–1291, https://doi.org/10.1007/s00531-007-0203-1, 2008.
Green, W. H. and Ampt, G. A.: Studies on Soil Phyics, J. Agr. Sci., 4, 1–24, https://doi.org/10.1017/S0021859600001441, 1911.
Hancock, G. and Lowry, J.: Hillslope erosion measurement – a simple approach to a complex process, Hydrol. Process., 29, 4809–4816, 2015.
Hancock, G. and Lowry, J.: Quantifying the influence of rainfall, vegetation and animals on soil erosion and hillslope connectivity in the monsoonal tropics of northern Australia, Earth Surf. Proc. Land., 46, 2110–2123, https://doi.org/10.1002/esp.5147, 2021.
Herrmann, S. M. and Mohr, K. I.: A Continental-Scale Classification of Rainfall Seasonality Regimes in Africa Based on Gridded Precipitation and Land Surface Temperature Products, J. Appl. Meteorol. Clim., 50, 2504–2513, https://doi.org/10.1175/JAMC-D-11-024.1, 2011.
Hobley, D. E. J., Adams, J. M., Nudurupati, S. S., Hutton, E. W. H., Gasparini, N. M., Istanbulluoglu, E., and Tucker, G. E.: Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics, Earth Surf. Dynam., 5, 21–46, https://doi.org/10.5194/esurf-5-21-2017, 2017.
Hou, J., Zhu, H., Fu, B., Lu, Y., and Zhou, J.: Functional traits explain seasonal variation effects of plant communities on soil erosion in semiarid grasslands in the Loess Plateau of China, Catena, 194, 104743, https://doi.org/10.1016/j.catena.2020.104743, 2020.
Howard, A. D.: A detachment-limited model of drainage basin evolution, Water Resour. Res., 30, 2261–2285, 1994.
Huang, S., Tang, L., Hupy, J. P., Wang, Y., and Shao, G.: A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing, J. Forestry Res., 32, 1–6, https://doi.org/10.1007/s11676-020-01155-1, 2021.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195–213, https://doi.org/10.1016/S0034-4257(02)00096-2, 2002.
Istanbulluoglu, E.: Vegetation-modulated landscape evolution: Effects of vegetation on landscape processes, drainage density, and topography, J. Geophys. Res., 110, F02012, https://doi.org/10.1029/2004jf000249, 2005.
Istanbulluoglu, E. and Bras, R. L.: On the dynamics of soil moisture, vegetation, and erosion: Implications of climate variability and change, Water Resour. Res., 42, W06418, https://doi.org/10.1029/2005WR004113, 2006.
Johnstone, S. A. and Hilley, G. E.: Lithologic control on the form of soil-mantled hillslopes, Geology, 43, 83–86, https://doi.org/10.1130/G36052.1, 2014.
Julien, P. Y., Saghafian, B., and Ogden, F. L.: Raster-based hydrologic modeling of spatially-varied surface runoff, J. Am. Water Resour. As., 31, 523–536, https://doi.org/10.1111/j.1752-1688.1995.tb04039.x, 1995.
Langbein, W. B. and Schumm, S. A.: Yield of sediment in relation to mean annual precipitation, EOS Trans. Am. Geophys. Union, 39, 1076–1084, https://doi.org/10.1029/TR039i006p01076, 1958.
Leyland, J., Hackney, C. R., Darby, S. E., Parsons, D. R., Best, J. L., Nicholas, A. P., Aalto, R., and Lague, D.: Extreme flood-driven fluvial bank erosion and sediment loads: direct process measurements using integrated Mobile Laser Scanning (MLS) and hydro-acoustic techniques: Direct measurement of flood-driven erosion using MLS and MBES, Earth Surf. Proc. Land., 42, 334–346, https://doi.org/10.1002/esp.4078, 2016.
Melnick, D.: Rise of the central Andean coast by earthquakes straddling the Moho, Nat. Geosci., 9, 401–407, https://doi.org/10.1038/ngeo2683, 2016.
Melnick, D., Bookhagen, B., Strecker, M. R., and Echtler, H. P.: Segmentation of megathrust rupture zones from fore-arc deformation patterns over hundreds to millions of years, Arauco peninsula, Chile: Earthquake segmentation at Arauco, J. Geophys. Res.-Sol. Ea., 114, B01407, https://doi.org/10.1029/2008JB005788, 2009.
Mosaffaie, J., Ekhtesasi, M. R., Dastorani, M. T., Azimzadeh, H. R., and Zare Chahuki, M. A.: Temporal and spatial variations of the water erosion rate, Arab. J. Geosci., 8, 5971–5979, https://doi.org/10.1007/s12517-014-1628-z, 2015.
Oeser, R. A., Stroncik, N., Moskwa, L.-M., Bernhard, N., Schaller, M., Canessa, R., Brink, L. van den, Köster, M., Brucker, E., Stock, S., Fuentes, J. P., Godoy, R., Matus, F. J., Pedraza, R. O., McIntyre, P. O., Paulino, L., Seguel, O., Bader, M. Y., Boy, J., Dippold, M. A., Ehlers, T. A., Kühn, P., Kuzyakov, Y., Leinweber, P., Scholten, T., Spielvogel, S., Spohn, M., Übernickel, K., Tielbörger, K., Wagner, D., and von Blanckenburg, F.: Chemistry and microbiology of the Critical Zone along a steep climate and vegetation gradient in the Chilean Coastal Cordillera, Catena, 170, 183–203, https://doi.org/10.1016/j.catena.2018.06.002, 2018.
Rengers, F. K., McGuire, L., Kean, J. W., Staley, D. M., and Hobley, D. E. J.: Model simulations of flood and debris flow timing in steep catchments after wildfire, Water Resour. Res., 52, 6041–6061, https://doi.org/10.1002/2015WR018176, 2016.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data Assimilation System, B. Am. Meteorol. Soc., 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381, 2004.
Schaller, M. and Ehlers, T. A.: Comparison of soil production, chemical weathering, and physical erosion rates along a climate and ecological gradient (Chile) to global observations, Earth Surf. Dynam., 10, 131–150, https://doi.org/10.5194/esurf-10-131-2022, 2022.
Schaller, M., Ehlers, T. A., Lang, K. A. H., Schmid, M., and Fuentes-Espoz, J. P.: Addressing the contribution of climate and vegetation cover on hillslope denudation, Chilean Coastal Cordillera (26∘–38∘ S), Earth Planet. Sc. Lett., 489, 111–122, https://doi.org/10.1016/j.epsl.2018.02.026, 2018.
Schaller, M., Dal Bo, I., Ehlers, T. A., Klotzsche, A., Drews, R., Fuentes Espoz, J. P., and van der Kruk, J.: Comparison of regolith physical and chemical characteristics with geophysical data along a climate and ecological gradient, Chilean Coastal Cordillera (26 to 38∘ S), SOIL, 6, 629–647, https://doi.org/10.5194/soil-6-629-2020, 2020.
Schmid, M., Ehlers, T. A., Werner, C., Hickler, T., and Fuentes-Espoz, J.-P.: Effect of changing vegetation and precipitation on denudation – Part 2: Predicted landscape response to transient climate and vegetation cover over millennial to million-year timescales, Earth Surf. Dynam., 6, 859–881, https://doi.org/10.5194/esurf-6-859-2018, 2018.
Sharma, H. and Ehlers, T. A.: LandLab investigations into the seasonal effects of precipitation and vegetation change on catchment erosion, Zenodo [code and data set], https://doi.org/10.5281/zenodo.8033782, 2023.
Sharma, H., Ehlers, T. A., Glotzbach, C., Schmid, M., and Tielbörger, K.: Effect of rock uplift and Milankovitch timescale variations in precipitation and vegetation cover on catchment erosion rates, Earth Surf. Dynam., 9, 1045–1072, https://doi.org/10.5194/esurf-9-1045-2021, 2021.
Shobe, C. M., Tucker, G. E., and Barnhart, K. R.: The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution, Geosci. Model Dev., 10, 4577–4604, https://doi.org/10.5194/gmd-10-4577-2017, 2017.
Starke, J., Ehlers, T. A., and Schaller, M.: Latitudinal effect of vegetation on erosion rates identified along western South America, Science, 367, 1358–1361, https://doi.org/10.1126/science.aaz0840, 2020.
Steegen, A., Govers, G., Nachtergaele, J., Takken, I., Beuselinck, L., and Poesen, J.: Sediment export by water from an agricultural catchment in the Loam Belt of central Belgium, Geomorphology, 33, 25–36, https://doi.org/10.1016/S0169-555X(99)00108-7, 2000.
Stephenson, J., Gallagher, K., and Holmes, C.: A Bayesian approach to calibrating apatite fission track annealing models for laboratory and geological timescales, Geochim. Cosmochim. Ac., 70, 5183–5200, https://doi.org/10.1016/j.gca.2006.07.027, 2006.
Suescún, D., Villegas, J. C., León, J. D., Flórez, C. P., García-Leoz, V., and Correa-Londoño, G. A.: Vegetation cover and rainfall seasonality impact nutrient loss via runoff and erosion in the Colombian Andes, Reg. Environ. Change, 17, 827–839, https://doi.org/10.1007/s10113-016-1071-7, 2017.
Tucker, G. E. and Bras, R. L.: A stochastic approach to modeling the role of rainfall variability in drainage basin evolution, Water Resour. Res., 36, 1953–1964, https://doi.org/10.1029/2000wr900065, 2000.
Tucker, G. E., Lancaster, S. T., Gasparini, N. M., and Bras, R. L.: Modeling floodplain dynamics and stratigraphy: implications for geoarchaeology, Final Technical Report (Part II-C), Contract Number DACA88-95-C-0017, USACERL – US Army Corps of Engineers Construction Engineering Research Laboratory, 16 pp., https://web.mit.edu/hydrology/Public/CHILDProject/floodplain.pdf (last access: 17 August 2022), 1999.
Übernickel, K., Ehlers, T. A., Ershadi, M. R., Paulino, L., Fuentes Espoz, J.-P., Maldonado, A., Oses-Pedraza, R., and von Blanckenburg, F.: Time series of meteorological station data in the EarthShape study areas of in the Coastal Cordillera, Chile, GFZ [data set], https://doi.org/10.5880/FIDGEO.2020.043, 2020.
Van Der Meer, F., Bakker, W., Scholte, K., Skidmore, A., De Jong, S., Clevers, J., Addink, E., and Epema, G.: Spatial scale variations in vegetation indices and above-ground biomass estimates: Implications for MERIS, Int. J. Remote Sens., 22, 3381–3396, https://doi.org/10.1080/01431160152609227, 2001.
Wang, L., Zheng, F., Liu, G., Zhang, X. J., Wilson, G. V., Shi, H., and Liu, X.: Seasonal changes of soil erosion and its spatial distribution on a long gentle hillslope in the Chinese Mollisol region, Int. Soil Water Conserv. Res., 9, 394–404, https://doi.org/10.1016/j.iswcr.2021.02.001, 2021.
Wei, W., Chen, L., Zhang, H., and Chen, J.: Effect of rainfall variation and landscape change on runoff and sediment yield from a loess hilly catchment in China, Environ. Earth Sci., 73, 1005–1016, https://doi.org/10.1007/s12665-014-3451-y, 2015.
Whipple, K. X. and Tucker, G. E.: Dynamics of the stream-power river incision model: Implications for height limits of mountain ranges, landscape response timescales, and research needs, J. Geophys. Res.-Sol. Ea., 104, 17661–17674, https://doi.org/10.1029/1999jb900120, 1999.
Wulf, H., Bookhagen, B., and Scherler, D.: Seasonal precipitation gradients and their impact on fluvial sediment flux in the Northwest Himalaya, Geomorphology, 118, 13–21, https://doi.org/10.1016/j.geomorph.2009.12.003, 2010.
Yetemen, O., Istanbulluoglu, E., Flores-Cervantes, J. H., Vivoni, E. R., and Bras, R. L.: Ecohydrologic role of solar radiation on landscape evolution, Water Resour. Res., 51, 1127–1157, https://doi.org/10.1002/2014wr016169, 2015.
Zhang, S., Li, Z., Hou, X., and Yi, Y.: Impacts on watershed-scale runoff and sediment yield resulting from synergetic changes in climate and vegetation, Catena, 179, 129–138, https://doi.org/10.1016/j.catena.2019.04.007, 2019.
Zhang, W., An, S., Xu, Z., Cui, J., and Xu, Q.: The impact of vegetation and soil on runoff regulation in headwater streams on the east Qinghai–Tibet Plateau, China, Catena, 87, 182–189, https://doi.org/10.1016/j.catena.2011.05.020, 2011.
Zhang, X., Yu, G. Q., Li, Z. B., and Li, P.: Experimental Study on Slope Runoff, Erosion and Sediment under Different Vegetation Types, Water Resour. Manag., 28, 2415–2433, https://doi.org/10.1007/s11269-014-0603-5, 2014.
Zheng, F. L.: Effect of Vegetation Changes on Soil Erosion on the Loess Plateau, Pedosphere, 16, 420–427, https://doi.org/10.1016/S1002-0160(06)60071-4, 2006.
Ziese, M., Rauthe-Schöch, A., Becker, A., Finger, P., Rustemeier, E., and Schneider, U.: GPCC Full Data Daily Version 2020 at 1.0∘: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data: Gridded Daily Totals (2020), DWD [data set], https://doi.org/10.5676/DWD_GPCC/FD_D_V2020_100, 2020.
Short summary
Seasonality in precipitation (P) and vegetation (V) influences catchment erosion (E), although which factor plays the dominant role is unclear. In this study, we performed a sensitivity analysis of E to P–V seasonality through numerical modeling. Our results suggest that P variations strongly influence seasonal variations in E, while the effect of seasonal V variations is secondary but significant. This is more pronounced in moderate and least pronounced in extreme environmental settings.
Seasonality in precipitation (P) and vegetation (V) influences catchment erosion (E), although...