Biotechnical characteristics of root systems of typical Mediterranean species

  • Chiara Mattia
  • Gian Battista Bischetti
  • Francesco Gentile
Conference paper
Part of the Developments in Plant and Soil Sciences book series (DPSS, volume 103)

Abstract

Vegetation can significantly contribute to stabilise sloping terrain by adding cohesion to soil: this reinforcement depends on the morphological characteristics of the root systems and the tensile strength of single roots. The paper presents the results of research carried out in order to evaluate the biotechnical characteristics of the root system of three typical Mediterranean plant specieswhich can affect slope stability. The species considered in the present study are Lygeum spartum L. (a perennial herbaceous monocotyledonous), Atriplex halimus L. and Pistacia lentiscus L. (two dicotyledonous shrub species). The plant specimens were collected in the Basilicata region (Southern Italy) by in situ excavation to obtain the whole root systems. Single root specimens for each species were sampled and tested for tensile strength measurement and the complete root systems were analysed to evaluate the root density distribution with depth in terms of root area ratio. The resulting data have been used to calculate the reinforcing effect in terms of increased shear strength of the soil using the model of Wu (1976, Investigation of landslides on Prince ofWales Island. Geotech. Eng. Rep. 5 Civil Eng. Dep. Ohio State Univ. Columbus, Ohio, USA) andWaldron (1977, Soil Sci. Soc. Am. J. 41(3), 843–849), a simple and widespread model based on the reinforced earth theory. The results show that root reinforcement exerted by L. spartum is stronger than the reinforcement exerted by P. lentiscus and A. halimus in the upper layers of the soil, while P. lentiscus presents higher reinforcement values in deeper horizons. A. halimus presents lower values than either of the other species studied.

Keywords

Shear Strength Root System Slope Stability Root Diameter Shallow Landslide 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2007

Authors and Affiliations

  • Chiara Mattia
    • 1
  • Gian Battista Bischetti
    • 2
    • 3
  • Francesco Gentile
    • 1
  1. 1.Department PROGESAUniversita di BariBariItaly
  2. 2.Institute of Agricultural HydraulicsUniversità degli Studi di MilanoMilanoItaly
  3. 3.Istituto di Idraulica AgrariaUniversità degli Studi di MilanoItaly

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