IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v279y2023ics0378377423000513.html
   My bibliography  Save this article

Spontaneous vegetation as an alternative to cover crops in olive orchards reduces water erosion and improves soil physical properties under tropical conditions

Author

Listed:
  • Beniaich, Adnane
  • Guimarães, Danielle Vieira
  • Avanzi, Junior Cesar
  • Silva, Bruno Montoani
  • Acuña-Guzman, Salvador Francisco
  • dos Santos, Wharley Pereira
  • Silva, Marx Leandro Naves

Abstract

This research aimed to study the effects of different cover crops on chemical and physical properties in olive orchards, under tropical conditions, to investigate erosive processes by measuring soil and water losses, and to determine the best management cover crop in olive orchards. We assessed soil and water losses under different cover management practices: olive planted on bare soil (OBS); intercropped olive with spontaneous vegetation (OSV); intercropped olive with jack beans (OJB); intercropped olive with millet (OMI); intercropped olive with sunn hemp (OSH), and bare soil (BS). The experiment was carried out for two hydrological years (2015/2016 and 2016/2017) in the Southern region of Minas Gerais, Brazil. Experimental setup consisted of fifteen standard plots (12 m x 4 m), in a Cambisol, with slope of 0.23 m m-1. In both rainy seasons, treatments with cover crops showed significant efficiency to reduce soil loss. OSV treatment showed good performance in the reduction of water erosion, revealing lower values of total soil loss of 25 Mg ha-1 period-1 and 0.55 Mg ha-1 period-1 in first and second season, respectively. Based on the results, it is recommended to use spontaneous vegetation as a cover crop in olive plantations at least during the first season. This proved to be able to reduce soil and water losses. For subsequent years, a combination or a transition of other cover crops is possible, since soil losses for treatments OJB (0.41 Mg ha-1 period-1), and OSV (0.55 Mg ha-1 period-1) were statistically grouped using a non-metric multidimensional scaling with a good performance (final stress = 0.069). This decision between spontaneous vegetation or a profitable cover crop should be adopted by farmers considering technical and financial aspects.

Suggested Citation

  • Beniaich, Adnane & Guimarães, Danielle Vieira & Avanzi, Junior Cesar & Silva, Bruno Montoani & Acuña-Guzman, Salvador Francisco & dos Santos, Wharley Pereira & Silva, Marx Leandro Naves, 2023. "Spontaneous vegetation as an alternative to cover crops in olive orchards reduces water erosion and improves soil physical properties under tropical conditions," Agricultural Water Management, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:agiwat:v:279:y:2023:i:c:s0378377423000513
    DOI: 10.1016/j.agwat.2023.108186
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423000513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2023.108186?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    2. Alcántara, C. & Pujadas, A. & Saavedra, M., 2011. "Management of cruciferous cover crops by mowing for soil and water conservation in southern Spain," Agricultural Water Management, Elsevier, vol. 98(6), pages 1071-1080, April.
    3. Shackelford, Gorm E. & Kelsey, Rodd & Dicks, Lynn V., 2019. "Effects of cover crops on multiple ecosystem services: Ten meta-analyses of data from arable farmland in California and the Mediterranean," Land Use Policy, Elsevier, vol. 88(C).
    4. de Moura, Maíse Soares & Silva, Bruno Montoani & Mota, Paula Karen & Borghi, Emerson & Resende, Alvaro Vilela de & Acuña-Guzman, Salvador Francisco & Araújo, Gabriela Soares Santos & da Silva, Lucas d, 2021. "Soil management and diverse crop rotation can mitigate early-stage no-till compaction and improve least limiting water range in a Ferralsol," Agricultural Water Management, Elsevier, vol. 243(C).
    5. Manuel López-Vicente & Sara Álvarez & Elena Calvo-Seas & Artemi Cerdà, 2022. "Sustainability by Function (SbF): A Case Study in a Rainfed Vineyard to Reduce the Loss of Soil Nutrients," Land, MDPI, vol. 11(7), pages 1-16, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marco Aurélio Barbosa Alves & Adilson Pacheco de Souza & Frederico Terra de Almeida & Aaron Kinyu Hoshide & Handrey Borges Araújo & Apoliano Francisco da Silva & Daniel Fonseca de Carvalho, 2023. "Effects of Land Use and Cropping on Soil Erosion in Agricultural Frontier Areas in the Cerrado-Amazon Ecotone, Brazil, Using a Rainfall Simulator Experiment," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuel Shye, 2010. "The Motivation to Volunteer: A Systemic Quality of Life Theory," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 183-200, September.
    2. Muñoz-Mas, Rafael & Vezza, Paolo & Alcaraz-Hernández, Juan Diego & Martínez-Capel, Francisco, 2016. "Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)," Ecological Modelling, Elsevier, vol. 342(C), pages 123-134.
    3. Karim Abou-Moustafa & Frank P. Ferrie, 2018. "Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 341-363, June.
    4. Camacho, Maximo & Perez-Quiros, Gabriel & Saiz, Lorena, 2006. "Are European business cycles close enough to be just one?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1687-1706.
    5. Mingxu Zhao & Nalaka Geekiyanage & Jianchu Xu & Myo Myo Khin & Dian Ridwan Nurdiana & Ekananda Paudel & Rhett Daniel Harrison, 2015. "Structure of the Epiphyte Community in a Tropical Montane Forest in SW China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.
    6. Willem Heiser, 1991. "A generalized majorization method for least souares multidimensional scaling of pseudodistances that may be negative," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 7-27, March.
    7. Luís Francisco Aguiar & Pedro C. Magalhães & Maria Joana Soares, 2010. "Synchronism in Electoral Cycles: How United are the United States?," NIPE Working Papers 17/2010, NIPE - Universidade do Minho.
    8. Kennen, Jonathan G. & Kauffman, Leon J. & Ayers, Mark A. & Wolock, David M. & Colarullo, Susan J., 2008. "Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites," Ecological Modelling, Elsevier, vol. 211(1), pages 57-76.
    9. José Luis Ortega Priego, 2003. "A Vector Space Model as a methodological approach to the Triple Helix dimensionality: A comparative study of Biology and Biomedicine Centres of two European National Research Councils from a Webometri," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 429-443, October.
    10. Jacques de Wet & Daniela Wetzelhütter & Johann Bacher, 2021. "Standardising the reproduction of Schwartz’s two-dimensional value space using multi-dimensional scaling and goodness-of-fit test procedures," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1155-1179, August.
    11. Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.
    12. Berrie Zielman & Willem Heiser, 1993. "Analysis of asymmetry by a slide-vector," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 101-114, March.
    13. George Karabatsos, 2018. "On Bayesian Testing of Additive Conjoint Measurement Axioms Using Synthetic Likelihood," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 321-332, June.
    14. Dardonville, Manon & Legrand, Baptiste & Clivot, Hugues & Bernardin, Claire & Bockstaller, Christian & Therond, Olivier, 2022. "Assessment of ecosystem services and natural capital dynamics in agroecosystems," Ecosystem Services, Elsevier, vol. 54(C).
    15. Stephen Polasky & Andrew Solow & James Broadus, 1993. "Searching for uncertain benefits and the conservation of biological diversity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 171-181, April.
    16. Yoshio Takane & Justine Sergent, 1983. "Multidimensional scaling models for reaction times and same-different judgments," Psychometrika, Springer;The Psychometric Society, vol. 48(3), pages 393-423, September.
    17. Chen, Dianyu & Wang, Youke & Zhang, Xue & Wei, Xinguang & Duan, Xingwu & Muhammad, Saifullah, 2021. "Understory mowing controls soil drying in a rainfed jujube agroforestry system in the Loess Plateau," Agricultural Water Management, Elsevier, vol. 246(C).
    18. Richard Johnson, 1973. "Pairwise nonmetric multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 11-18, March.
    19. Jerzy Grobelny & Rafal Michalski & Gerhard-Wilhelm Weber, 2021. "Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic," WORking papers in Management Science (WORMS) WORMS/21/09, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    20. Patrick Groenen & Bart-Jan Os & Jacqueline Meulman, 2000. "Optimal scaling by alternating length-constrained nonnegative least squares, with application to distance-based analysis," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 511-524, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:279:y:2023:i:c:s0378377423000513. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.