Rainfall Pattern and Erosivity: A 90-Year Study in a Cropland Region of Argentina
DOI:
https://doi.org/10.18172/cig.7019Keywords:
rainfall, rainy days, Heavy rainfall, rainfall erosivity, climate changeAbstract
Water soil erosion is a significant threat to agricultural sustainability and a key process of land degradation. Climate change is altering precipitation patterns and increasing rainfall erosivity globally, leading to more extreme hydrological conditions, yet many agriculturally significant regions lack detailed long-term analysis. This study addresses this gap by quantifying 90-year trends (1934-2023) in key precipitation metrics—total depth, number of rainy days, frequency of heavy rainfall events (>50 mm), and rainfall erosivity (R-factor)—in a critical cropland region of Argentina. Analysis of daily data from the Paraná Agrometeorological Station revealed significant breakpoints in the 1970s. Post-breakpoint increases were observed for annual rainfall depth (+16% since 1975), rainy days (+19% since 1972), heavy rainfall events (+21% since 1971), and rainfall erosivity (+24% since 1977). On a monthly basis, March exhibited the highest erosivity. Despite a recent decrease in total monthly precipitation for March, its erosive potential appears to be sustained by a higher concentration of rainfall in intense events. Conversely, the period from May to September was characterized by lower and more stable erosivity values. A positive and significant correlation was established between the El Niño-Southern Oscillation (ENSO), measured by the Oceanic Niño Index (ONI), and all rainfall variables, with the strongest influence observed during the spring-summer seasons. Furthermore, the frequency of quarters classified as El Niño conditions has increased since the mid-1970s breakpoint. This study demonstrates a clear climatic shift towards conditions of higher precipitation and greater erosivity in the region. These findings underscore the urgent need for enhanced soil and water conservation policies to mitigate the increasing risk of land degradation.
Downloads
References
Alexander, L.V., Zhang, X., Peterson, T.C., Caesar, J., Gleason, B., Klein Tank, A., Haylock, M., Collins, D., Trewin, B., Rahimzadeh, F., Tagipour, A., Rupa Kumar, K., Revadekar, J., Griffiths, G., Vincent, L., Stephenson, D.B., Burn, J., Aguilar, E., Brunet, M., Taylor, M., New, M., Zhai, P., Rusticucci, M., Vazquez-Aguirre, J.L. 2006. Global observed changes in daily climate extremes of temperature and precipitation. J. Geophys. Res. Atmos. 111, D05109. https://doi.org/10.1029/2005JD006290 DOI: https://doi.org/10.1029/2005JD006290
Almagro, A., Oliveira, P.T.S., Nearing, M.A., Hagemann, S. 2017. Projected climate change impacts in rainfall erosivity over Brazil. Sci. Rep. 7, 8130. https://doi.org/10.1038/s41598-017-08298-y DOI: https://doi.org/10.1038/s41598-017-08298-y
Angulo-Martínez, M., López-Vicente, M., Vicente-Serrano, S.M., Beguería, S. 2009. Mapping rainfall erosivity at a regional scale: A comparison of interpolation methods in the Ebro Basin (NE Spain). Hydrol. Earth Syst. Sci. 13 (10), 1907-1920. https://doi.org/10.5194/hess-13-1907-2009 DOI: https://doi.org/10.5194/hess-13-1907-2009
Ares, M.G., Varni, M., Entraigas, I. 2010. Determinación de la erosividad de las precipitaciones para la localidad de Azul, provincia de Buenos aires, Argentina, in Varni, M., Entraigas, I., Vives, L. (Eds.), Hacia la Gestión Integral de los Recursos Hídricos en Zonas de Llanura. Ed. Martin, Mar del Plata, Argentina. ISBN: 978-987-543392-2, pp. 95-99. http://hdl.handle.net/2133/7152
Arnoldus, H.M. 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation, in De Boodst, M., Gabriels, D. (Eds.), Assessment of erosion. John Wiley y Sons. Chichester, Gran Bretaña, pp. 127- 132.
Bai J., Perron P. 1998. Estimating and Testing Linear Models with Multiple Structural Changes. Econométrica 66, 47-78. https://doi.org/10.2307/2998540 DOI: https://doi.org/10.2307/2998540
Barros, V., Castañeda, M.E., Doyle, M. 2000. Recent Precipitation Trends in Southern South America East of the Andes: An Indication of Climatic Variability, in Smolka, P., Volkheimer, W. (Eds.), Southern Hemisphere Paleo- and Neoclimates. Springer, Berlin, Heidelberg, pp 187-206. https://doi.org/10.1007/978-3-642-59694-0_13 DOI: https://doi.org/10.1007/978-3-642-59694-0_13
Barros, V.R, Doyle, M., Camilloni, I. 2008. Precipitation trends in Southeastern South America: relationship with ENSO phases and the low-level circulation. Theor Appl Climatol Theoretical 93, 19-33. https://doi.org/10.1007/s00704-007-0329-x DOI: https://doi.org/10.1007/s00704-007-0329-x
Barros, V.R., Boninsegna, J.A., Camilloni, I.A., Chidiak, M., Magrín, G.O., Rusticucci, M. 2015. Climate change in Argentina: Trends, projections, impacts and adaptation. WIREs Climate Change 6(2), 151-169. https://doi.org/10.1002/wcc.316 DOI: https://doi.org/10.1002/wcc.316
Behrends Kraemer, F., Chagas, C., Ibañez, L., Carfagno, P., Vangeli, S. 2018. Análisis de la erosividad de las lluvias para el partido de San Pedro (BS. AS.). Cienc. Suelo (Argentina) 36 (1): 124-137. https://ri.conicet.gov.ar/handle/11336/105485
Bertocco, T., Figueiredo, T. de, Paz-González, A., García-Tomillo, A., López-Vicente, M. 2025. Deciphering sediment connectivity dynamic in traditional water-meadows (lameiros). Geomorphology 480, 109750. https://doi.org/10.1016/J.GEOMORPH.2025.109750 DOI: https://doi.org/10.1016/j.geomorph.2025.109750
Brown, L.C., Foster, G.R. 1987. Storm erosivity using idealized intensity distributions. Trans. ASAE, 30(2), 379-386. https://doi.org/10.13031/2013.31957 DOI: https://doi.org/10.13031/2013.31957
Camilloni, I. 2006. Short-term climate predictability of summer rainfall on the Paraná basin based on Atlantic and Pacific Sea Surface temperatures, in INPE (Ed.), Proceedings of 8th International Conference on Southern Hemisphere Meteorology and Oceanography (ICSHMO) (pp. 711-718).
Casas R.R. 2015. La erosión del suelo en la Argentina, in Casas R. R., Albarracín G. (Eds.), El deterioro del suelo y del ambiente en la Argentina. 1 ed., Vol. II. Centro para la Promoción de la Conservación del Suelo y del Agua, Fundación para la Educación, la Ciencia y la Cultura (FECIC). Ciudad autónoma de Buenos Aires, Buenos Aires, Argentina. ISBN 978-950-9149-39-7, pp. 433-452.
Crettaz, E., Gvozdenovich, J., Saluzzio, M. 2016. Cálculo del Factor R de la USLE a través del Índice Modificado de Fournier. INTA Paraná. https://www.researchgate.net/publication/321058206_CALCULO_DEL_FACTOR_R_DE_LA_USLE_A_TRAVES_DEL_INDICE_MODIFICADO_DE_FOURNIER (accessed 30 October 2024).
Compagnucci, R., Agosta, E., Vargas, W. 2002. Climatic change and quasi-oscillations in central-west Argentina summer precipitation: main features and coherent behaviour with southern African region. Climate Dynamics 18, 421-435. https://doi.org/10.1007/s003820100183 DOI: https://doi.org/10.1007/s003820100183
de Santos Loureiro, N., de Azevedo Coutinho, M. 2001. A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data and applied to the Algarve region, Portugal. Journal of Hydrology 250 (1-4), 12-18. https://doi.org/10.1016/S0022-1694(01)00387-0 DOI: https://doi.org/10.1016/S0022-1694(01)00387-0
Di Leo, C.M., Aragón, A., Marlats, R.M., Bruno, J.E. 1999. Erosividad de las precipitaciones en Tandil, provincia de Buenos Aires. Ciencia del Suelo 17(2). http://sedici.unlp.edu.ar/handle/10915/159191
Di Leo, N., Barbona, I., Beltrán, C., Forgioni, F.P., Coronel, A., Jozami, E. 2024. Temporal variability of spatial patterns of correlations between summer rainfall and the Oceanic Niño Index in the Pampean region. Science of The Total Environment 955(176849). https://doi.org/10.1016/j.scitotenv.2024.176849 DOI: https://doi.org/10.1016/j.scitotenv.2024.176849
Diodato, N. 2004. Estimating RUSLE’s rainfall factor in the part of Italy with a Mediterranean rainfall regime. Hydrology and Earth System Sciences 8(1), 103-107. https://doi.org/10.5194/hess-8-103-2004 DOI: https://doi.org/10.5194/hess-8-103-2004
Fang, B., Bevacqua, E., Rakovec, O., Zscheischler, J. 2024. An increase in the spatial extent of European floods over the last 70 years. Hydrology and Earth System Sciences 28(16), 3755-3775. https://doi.org/10.5194/hess-28-3755-2024 DOI: https://doi.org/10.5194/hess-28-3755-2024
Forgioni, F.P., Coronel, A.S., Dickie, M.J., Jozami, E. 2023. Variabilidad de la relación entre el ONI y las precipitaciones del trimestre NDE en la provincia de Santa Fe. https://repositorio.inta.gob.ar/handle/20.500.12123/16537
Fournier, F. 1960. Climat et érosion. Presses Universitaires de France. Paris. https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2021-11/010080384.pdf (accessed 30 October 2024).
Gabioud, E.A. 2018. Regeneración de la estructura edáfica y su efecto sobre el ingreso del agua: evaluación del agregado de enmiendas en argiudoles bajo siembra directa. Thesis of Master of Science, Universidad de Buenos Aires, Argentina. https://repositoriosdigitales.mincyt.gob.ar/vufind/Record/FAUBA_60b7e65ff7e9b21dad5eb8e52c407c59 (accessed 30 October 2024).
Government of Entre Ríos Province. 2019. Plan de gestión integrada de riesgos en el sector agropecuario de la provincia de Entre Ríos. https://www.argentina.gob.ar/sites/default/files/girsar_-_entre_rios_-_ppgira_ago19_compressed.pdf
Grimm, A.M., Barros, V.R., Doyle, M.E. 2000. Climate variability in southern South America associated with El Niño and La Niña events. Journal of climate 13(1), 35-58. https://doi.org/10.1175/1520-0442(2000)013<0035:CVISSA>2.0.CO;2 DOI: https://doi.org/10.1175/1520-0442(2000)013<0035:CVISSA>2.0.CO;2
Halecki, W., Kruk, E., Ryczek, M. 2018. Evaluation of water erosion at a mountain catchment in Poland using the G2 model. Catena 164, 116-124. https://doi.org/10.1016/j.catena.2018.01.014 DOI: https://doi.org/10.1016/j.catena.2018.01.014
Henn, B., Newman, A.J., Livneh, B., Daly, C., Lundquist, J.D. 2018. An assessment of differences in gridded precipitation datasets in complex terrain. Journal of Hydrology 556, 1205-1219. https://doi.org/10.1016/j.jhydrol.2017.03.008 DOI: https://doi.org/10.1016/j.jhydrol.2017.03.008
Informe del sector Agrícola, Provincia de Entre Ríos. 2023. Dirección General de Estadística y Censos, Gobierno de Entre Ríos. https://www.entrerios.gov.ar/dgec/wp-content/uploads/2022/12/Informe-agricola-2020.pdf (accessed 30 October 2024).
Intergovernmental Panel on Climate Change (IPCC). 2023. Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. https://doi.org/10.1017/9781009157896 DOI: https://doi.org/10.1017/9781009157896
Jozami, E., Constanzo, M., Coronel, A. 2015. Influencia de “El Niño-Oscilación Sur” sobre las precipitaciones en Paraná y Lucas González (Entre Ríos, Argentina). Revista de Climatología 15, 85-92.
López-Vicente, M., Álvarez, S. 2018. Stability and patterns of topsoil water content in rainfed vineyards, olive groves, and cereal fields under different soil and tillage conditions. Agric. Water Manag. 201, 167-176. https://doi.org/10.1016/j.agwat.2018.02.004 DOI: https://doi.org/10.1016/j.agwat.2018.02.004
López-Vicente, M., Navas, A., Machín, J. 2008. Identifying erosive periods by using RUSLE factors in mountain fields of the Central Spanish Pyrenees. Hydrology and Earth System Sciences 12(2), 523-535. https://doi.org/10.5194/hess-12-523-2008 DOI: https://doi.org/10.5194/hess-12-523-2008
López-Vicente, M., Lana-Renault, N., García-Ruiz, J.M., Navas, A. 2011. Assessing the potential effect of different land cover management practices on sediment yield from an abandoned farmland catchment in the Spanish Pyrenees. Journal of Soils and Sediments 11, 1440- 1455. https://doi.org/10.1007/s11368-011-0428-2 DOI: https://doi.org/10.1007/s11368-011-0428-2
López-Vicente, M., Pereira-Rodríguez, L., da Silva-Días, R., Raposo-Díaz, X., Wu, G.-L., Paz-González, A. 2023. Role of cultivars and grass in the stability of soil moisture and temperature in an organic vineyard. Geoderma Regional 33, e00631. https://doi.org/10.1016/j.geodrs.2023.e00631 DOI: https://doi.org/10.1016/j.geodrs.2023.e00631
Maggi, A.E. 2002. Una propuesta para predecir el factor de erosividad R para el centro y norte de la Argentina. Revista de la Facultad de Agronomía 22(2/3), 133-138. http://ri.agro.uba.ar/files/download/revista/facultadagronomia/2002maggiae.pdf (accessed 30 October 2024).
Magrin, G.O., Marengo, J.A., Boulanger, J.-P., Buckeridge, M.S., Castellanos, E., Poveda, G., Scarano, F.R., Vicuna, S. 2014a. Central and South América, in Barros, V.R., Field, C.B., Dokken, D.J., Mastrandrea, M.D., Mach, K.J., Bilir, T.E., Chatterjee, M., Ebi, K.L., Estrada, Y.O., Genova, R.C., Girma, B., Kissel, E.S., Levy, A.N., MacCracken, S., Mastrandrea, P.R., White, L.L. (Eds.), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 1499-1566. https://www.ipcc.ch/site/assets/uploads/2018/02/WGIIAR5-Chap27_FINAL.pdf (accessed 30 October 2024).
Magrin, G.O, Travasso, M.I., Rodríguez, G. 2014b. Impactos del clima y medidas de adaptación del sistema productivo, in Pascale Medina, C., Zubillaga, M., Taboada, M.A. (Eds.), Suelos, producción agropecuaria y cambio climático: avances en la Argentina. Ministerio de Agricultura, Ganadería y Pesca, 1a ed. Ciudad Autónoma de Buenos Aires, Argentina. ISBN 978-987-1873-24-1. https://ubatic.agro.uba.ar/?q=node/79 (accessed 30 October 2024).
Mondal, A., Khare, D., Kundu, S. 2016. Change in rainfall erosivity in the past and future due to climate change in the central part of India. International Soil and Water Conservation Research 4(3), 186-194. https://doi.org/10.1016/j.iswcr.2016.08.004 DOI: https://doi.org/10.1016/j.iswcr.2016.08.004
Nearing, M.A. 2001. Potential changes in rainfall erosivity in the U.S. with climate change during the 21st century. Journal of Soil and Water Conservation 56(3), 229-232. http://www.jswconline.org/content/56/3/229.abstract (accessed 30 October 2024). DOI: https://doi.org/10.1080/00224561.2001.12457384
Nearing, M.A., Yin, S.Q., Borrelli, P., Polyakov, V.O. 2017. Rainfall erosivity: An historical review. Catena 157, 357-362. https://doi.org/10.1016/j.catena.2017.06.004 DOI: https://doi.org/10.1016/j.catena.2017.06.004
NOAA. 2024. Download Climate Timeseries- Niño 3.4 SST Index. https://psl.noaa.gov/gcos_wgsp/Timeseries/Nino34/ (accessed 30 October 2024).
Nolz, R., Loiskandl, W. 2017. Evaluating soil water content data monitored at different locations in a vineyard with regard to irrigation control. Soil Water Res. 12 (3), 152- 160. http://doi.org/10.17221/9/2016-SWR DOI: https://doi.org/10.17221/9/2016-SWR
Nordlund, G., Tuomenvirta, H. 1998. Spatial variation in wet deposition amounts of sulphate due to stochastic variations in precipitation amounts. Atmospheric Environment 32 (17), 2913-2921. https://doi.org/10.1016/S1352-2310(98)00027-2 DOI: https://doi.org/10.1016/S1352-2310(98)00027-2
Panagos, P., Imeson, A., Meusburger, K., Borrelli, P., Poesen, J., Alewell, C. 2016. Soil Conservation in Europe: Wish or Reality? Land Degradation & Development 27(6), 1547-1551. https://doi.org/10.1002/ldr.2538 DOI: https://doi.org/10.1002/ldr.2538
Panagos, P., Ballabio, C., Meusburger, K., Spinoni, J., Alewell, C., Borrelli, P. 2017a. Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets. Journal of Hydrology 548, 251-262. https://doi.org/10.1016/j.jhydrol.2017.03.006 DOI: https://doi.org/10.1016/j.jhydrol.2017.03.006
Panagos, P., Borrelli, P., Meusburger, K., Yu, B., Klik, A., Jae Lim, K., Yang, J., Ni, J., Miao, C., Chattopadhyay, N., Sadeghi, S., Hazbavi, Z., Zabihi, M., Larionov, G., Krasnov, S., Gorobets, A., Levi, Y., Erpul, G., Birkel, C., Hoyos, N., Naipal, V., Oliveira, P., Bonilla, C., Meddi, M., Nel, W., Al Dashti, H., Boni, M., Diodato, N., Van Oost, K., Nearing, M., Ballabio, C. 2017b. Global rainfall erosivity assessment based on high-temporal resolution rainfall records. Scientific reports 7(4175). https://doi.org/10.1038/s41598-017-04282-8 DOI: https://doi.org/10.1038/s41598-017-04282-8
Panagos, P., Borrelli, P., Matthews, F., Liakos, L., Bezak, N., Diodato, N., Ballabio, C. 2022. Global rainfall erosivity projections for 2050 and 2070. J. Hydrol. 610, 127865. https://doi.org/10.1016/j.jhydrol.2022.127865 DOI: https://doi.org/10.1016/j.jhydrol.2022.127865
Penalba, O.C., Vargas, W.M. 2004. Interdecadal and interannual variations of annual and extreme precipitation over central-northeastern Argentina. International Journal of Climatology 24(12), 1565-1580. http://doi.org/10.1002/joc.1069 DOI: https://doi.org/10.1002/joc.1069
Penalba, O. C., Bettolli, M. L. 2011. Climate change impacts on atmospheric circulation and daily precipitation in the Argentine pampas region, in Climate change - geophysical foundations and ecological effects (pp. 137-156). IntechOpen. http://doi.org/10.5772/24163 DOI: https://doi.org/10.5772/24163
Podestá, G., Bert, F., Rajagopalan, B., Apipattanavis, S., Laciana, C., Weber, E., Easterling, W., Katz, R., Letson, D., Menendez, A. 2009. Decadal climate variability in the Argentine Pampas: regional impacts of plausible climate scenarios on agricultural systems. Climate Research 40(2-3), 199-210. https://doi.org/10.3354/cr00807 DOI: https://doi.org/10.3354/cr00807
R Core Team, 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. [software] URL. https://www.R-project.org/
Ranzi, R., Le, T.H., Rulli, M.C. 2012. A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): Effects of reservoirs and land use changes. Journal of Hydrology 422-423, 17-29. https://doi.org/10.1016/J.JHYDROL.2011.12.009 DOI: https://doi.org/10.1016/j.jhydrol.2011.12.009
Re, M., Barros, V.R. 2009. Extreme rainfalls in SE South America. Climatic Change 96(1):119–136. https://doi.org/10.1007/s10584-009-9619-x DOI: https://doi.org/10.1007/s10584-009-9619-x
Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C. 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). US Department of Agriculture, Agriculture Handbook No.703, USDA, Washington DC. https://www3.epa.gov/npdes/pubs/ruslech2.pdf (accessed 30 October 2024).
Rojas, A.E., Conde, A.A. 1985. Estimación del factor “R” de la Ecuación Universal de Pérdida de Suelos para el centro-este de la República Argentina. Ciencia del Suelo 3(12), 85-94. https://www.suelos.org.ar/publicaciones/vol_3n1y2/Rojas.pdf (accessed 30 October 2024).
Saluso, J.H. 1999. El Observatorio Agrometeorológico de la Estación Experimental Agropecuaria Paraná del INTA. 32 p.
Saluso, J.H. 2008. Actualización del factor R de la ecuación universal de pérdida de suelo (EUPS) para una amplia zona del país. Período 1950/2005. Agricultura sustentable. Serie Extensión 51, 49-53.
Sasal, M.C., Castiglioni, M.G., Wilson, M.G. 2010. Effect of crop sequences on soil properties and runoff on natural-rainfall erosion plots under no tillage. Soil and Tillage Research 108(1-2), 24-29. https://doi.org/10.1016/j.still.2010.03.010 DOI: https://doi.org/10.1016/j.still.2010.03.010
Sasal, María C., Wilson, M.G., Bedendo, D.J., Schulz, G.A. 2015. Provincia de Entre Ríos, in Casas R. R., Albarracín G. (Eds.), El deterioro del suelo y del ambiente en la Argentina, 1 ed., Vol. II. Centro para la Promoción de la Conservación del Suelo y del Agua. Fundación para la Educación, la Ciencia y la Cultura (FECIC). Ciudad autónoma de Buenos Aires, Buenos Aires, Argentina. ISBN 978-950-9149-39-7, pp. 111-120. https://repositorio.inta.gob.ar/xmlui/handle/20.500.12123/2138
Sasal, María C., Wilson, M.G., Bedendo, D.J., Caviglia, O.P., De Battista, J.J., Eclesia, R.P., Gabioud, E.A., Garciarena, N.A., Gvozdenovich, J.J., Ledesma, S., Lezana, L., Novelli, L.E., Oszust, J.D., Pioto, C., Rosenberger, J., Saluzzio, M.F., Sione, S.M.J., Seehaus, M., Van Opstal, N.V., Wingeyer, A.B. 2019. Provincia de Entre Ríos, in Casas, R. R., Damiano, F. (Eds.), Manual de Buenas prácticas de conservación del suelo y del agua en áreas de secano. Fundación para la Educación, la Ciencia y la Cultura (FECIC). Ciudad autónoma de Buenos Aires, Buenos Aires, Argentina. https://fecic.org.ar/wp-content/uploads/2023/06/Capitulo-Entre-Ri%CC%81os-para-web.pdf (accessed 30 October 2024).
Scott, A.J., Knott, M. 1974. A Cluster Analysis Method for Grouping Means in the Analysis of Variance. Biometrics 30(3), 507- 512. https://doi.org/10.2307/2529204 DOI: https://doi.org/10.2307/2529204
Suif, Z., Fleifle, A., Yoshimura, C., Saavedra, O. 2016. Spatio-temporal patterns of soil erosion and suspended sediment dynamics in the Mekong River Basin. Science of The Total Environment 568, 933-945. https://doi.org/10.1016/j.scitotenv.2015.12.134 DOI: https://doi.org/10.1016/j.scitotenv.2015.12.134
Tsitsagi, M., Berdzenishvili, A., Gugeshashvili, M. 2018. Spatial and temporal variations of rainfall-runoff erosivity (R) factor in Kakheti, Georgia. Annals of Agrarian Science 16(2), 226-235. https://doi.org/10.1016/j.aasci.2018.03.010 DOI: https://doi.org/10.1016/j.aasci.2018.03.010
USDA-Agricultural Research Service. 2013. Revised Universal Soil Loss Equation Version 2 (RUSLE 2). Washington DC. https://www.ars.usda.gov/southeast-area/oxford-ms/national-sedimentation-laboratory/watershed-physical-processes-research/research/rusle2/revised-universal-soil-loss-equation-2-rusle2-documentation (accessed 30 October 2024).
Vachaud, G., Passerat de Silans, A., Balabanis, P. Vauclin, M. 1985. Temporal stability of spatially measured soil water probability density function. Soil Science Society of America Journal 49(4), 822-828. https://doi.org/10.2136/sssaj1985.03615995004900040006x DOI: https://doi.org/10.2136/sssaj1985.03615995004900040006x
Wang, W., Yin, S., Xie, Y., Nearing, M.A. 2019. Minimum inter-event times for rainfall in the eastern monsoon region of China. Transactions of the ASABE 62 (1), 9-18. https://doi.org/10.13031/trans.12878 DOI: https://doi.org/10.13031/trans.12878
Wei, L., Dong, J., Gao, M., Chen, X. 2017. Factors controlling temporal stability of surface soil moisture: a watershed-scale modelling study. Vadose Zone J. 16 (10). https://doi.org/10.2136/vzj2016.12.0132 DOI: https://doi.org/10.2136/vzj2016.12.0132
Wingeyer, A.B., Maffini, G., Gabioud, E.A., Seehaus, M.S., Garciarena, N. 2022. Actualización de los promedios históricos de temperatura y precipitaciones para la zona de la EEA Paraná del INTA. Serie Extensión INTA Paraná 87, 52-56. http://hdl.handle.net/11336/200497
Zhang, Y., Li, H., Sun, Y., Zhang, Q., Liu, P., Wang, R., Li, J. 2022. Temporal stability analysis evaluates soil water sustainability of different cropping systems in a dryland agricultural ecosystem. Agric. Water Manag. 272, 107834. http://doi.org/10.1016/j.agwat.2022.107834 DOI: https://doi.org/10.1016/j.agwat.2022.107834
Zhao, Y., Peth, S., Wang, X.Y., Lin, H., Horn, R. 2010. Controls of surface soil moisture spatial patterns and their temporal stability in a semi-arid steppe. Hydrol. Process. 24, 2507-2519. https://doi.org/10.1002/hyp.7665 DOI: https://doi.org/10.1002/hyp.7665
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Mariela Seehaus, Manuel López-Vicente, Ana Beatriz Wingeyer, María Carolina Sasal, Alejandra Lorena Cuatrin, Emanuel Melgares

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors retain copyright of articles and authorize Cuadernos de Investigación Geográfica / Geographical Research Letters the first publication. They are free to share and redistribute the article without obtaining permission from the publisher as long as they give appropriate credit to the editor and the journal.
Self-archiving is allowed too. In fact, it is recommendable to deposit a PDF version of the paper in academic and/or institutional repositories.
It is recommended to include the DOI number.
This journal is licensed under a Creative Commons Attribution 4.0 International License




