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Land-use and topography shape soil and groundwater salinity in central Argentina

Author

Listed:
  • Nosetto, M.D.
  • Acosta, A.M.
  • Jayawickreme, D.H.
  • Ballesteros, S.I.
  • Jackson, R.B.
  • Jobbágy, E.G.

Abstract

Being one of the oldest and most serious environmental problems, soil and groundwater salinization poses critical challenges for the managing of agricultural and natural areas. Together with climate, topography and land-use are main controls dictating salt accumulation patterns at different spatial scales. In this paper, we quantified the response of salt accumulation to the interactive effects of topography (lowland-upland gradients) and vegetation (annual crops, tree plantations, native grasslands) across a sub-humid sedimentary landscape with shallow groundwater in the Inland Pampas of Argentina. We measured salt stocks from the surface down to the water-table through soil coring and their horizontal distribution through electrical-resistivity imaging in eleven fields occupied by annual crops, eucalyptus plantations and grasslands, encompassing water-table depth gradients of 1–6m below the surface. Land-use and topography exerted strong influences on salinity and explained together 82% and 66% of the spatial variability of groundwater salinity and soil salt accumulation (0–2m of depth), respectively. As a single explanatory variable, land-use overwhelmed topography dictating salinity patterns. Tree plantations stored 7–8 times more salts than croplands and grasslands throughout the unsaturated soil profile in areas with shallow water-tables (<3.5-m depth). As groundwater became shallower, its salinity and that of the unsaturated soil above it increased, although the slope of this relationship was significantly higher in tree plantations. Soil salinity profiles and electrical-resistivity imaging showed maximum salinization around the water-table in tree plantations, indicating that groundwater absorption and solute exclusion by tree roots may be the dominant salinization mechanism. Our study highlights the strong influence of land-use on salinization patterns, which can be even stronger than the more widely recognized controls of climate and topography, and proposes some guidelines for a better use of vegetation to manage hydrology in salt-affected areas. A poor comprehension of this influence, as well as its underlying mechanisms, may lead to incorrect diagnosis of salinization and the implementation of ineffective management actions.

Suggested Citation

  • Nosetto, M.D. & Acosta, A.M. & Jayawickreme, D.H. & Ballesteros, S.I. & Jackson, R.B. & Jobbágy, E.G., 2013. "Land-use and topography shape soil and groundwater salinity in central Argentina," Agricultural Water Management, Elsevier, vol. 129(C), pages 120-129.
    • Handle: RePEc:eee:agiwat:v:129:y:2013:i:c:p:120-129
    DOI: 10.1016/j.agwat.2013.07.017
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    References listed on IDEAS

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    1. Kroes, Joop & van Dam, Jos & Supit, Iwan & de Abelleyra, Diego & Verón, Santiago & de Wit, Allard & Boogaard, Hendrik & Angelini, Marcos & Damiano, Francisco & Groenendijk, Piet & Wesseling, Jan & Vel, 2019. "Agrohydrological analysis of groundwater recharge and land use changes in the Pampas of Argentina," Agricultural Water Management, Elsevier, vol. 213(C), pages 843-857.
    2. Fuat Kaya & Calogero Schillaci & Ali Keshavarzi & Levent Başayiğit, 2022. "Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain," Land, MDPI, vol. 11(12), pages 1-21, November.
    3. Zipper, Samuel C. & Soylu, Mehmet Evren & Kucharik, Christopher J. & Loheide II, Steven P., 2017. "Quantifying indirect groundwater-mediated effects of urbanization on agroecosystem productivity using MODFLOW-AgroIBIS (MAGI), a complete critical zone model," Ecological Modelling, Elsevier, vol. 359(C), pages 201-219.
    4. Hongfang Li & Jian Wang & Hu Liu & Zhanmin Wei & Henglu Miao, 2022. "Quantitative Analysis of Temporal and Spatial Variations of Soil Salinization and Groundwater Depth along the Yellow River Saline–Alkali Land," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    5. Yu, Haijiao & Wen, Xiaohu & Wu, Min & Sheng, Danrui & Wu, Jun & Zhao, Ying, 2022. "Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Kulasinghe, Tharindu Nuwan & Dharmakeerthi, Randombage Saman, 2022. "Effects of land use type and tank components on soil properties and sustainability of tank cascade system in the Dry Zone of north central Sri Lanka," Agricultural Systems, Elsevier, vol. 201(C).
    7. Florio, E.L. & Mercau, J.L. & Jobbágy, E.G. & Nosetto, M.D., 2014. "Interactive effects of water-table depth, rainfall variation, and sowing date on maize production in the Western Pampas," Agricultural Water Management, Elsevier, vol. 146(C), pages 75-83.
    8. Mercau, Jorge L. & Nosetto, Marcelo D. & Bert, Federico & Giménez, Raúl & Jobbágy, Esteban G., 2016. "Shallow groundwater dynamics in the Pampas: Climate, landscape and crop choice effects," Agricultural Water Management, Elsevier, vol. 163(C), pages 159-168.
    9. Farhang Rahmani & Mohammad Hadi Fattahi, 2024. "Long-term evaluation of land use/land cover and hydrological drought patterns alteration consequences on river water quality," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 19051-19068, July.

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