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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 3
Hydrol. Earth Syst. Sci., 12, 899–911, 2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Climate-soil and vegetation interactions in ecological-hydrological...

Hydrol. Earth Syst. Sci., 12, 899–911, 2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Jun 2008

13 Jun 2008

Analysis of soil and vegetation patterns in semi-arid Mediterranean landscapes by way of a conceptual water balance model

I. Portoghese1, V. Iacobellis2, and M. Sivapalan3,* I. Portoghese et al.
  • 1Istituto di Ricerca Sulle Acque, Bari, Italy
  • 2Dipartimento di Ingegneria delle Acque e Chimica, Politecnico di Bari, Italy
  • 3Centre for Water Research, The University of Western Australia, Crawley, WA, Australia
  • *now at: Dept. of Geography and Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, IL, USA

Abstract. This paper investigates the impact of various vegetation types on water balance variability in semi-arid Mediterranean landscapes, and the different strategies they may have developed to succeed in such water-limited environments. The existence of preferential associations between soil water holding capacity and vegetation species is assessed through an extensive soil geo-database focused on a study region in Southern Italy. Water balance constraints that dominate the organization of landscapes are investigated by a conceptual bucket approach. The temporal water balance dynamics are modelled, with vegetation water use efficiency being parameterized through the use of empirically obtained crop coefficients as surrogates of vegetation behavior in various developmental stages. Sensitivity analyses with respect to the root zone depth and soil water holding capacity are carried out with the aim of explaining the existence of preferential soil-vegetation associations and, hence, the spatial distribution of vegetation types within the study region. Based on these sensitivity analyses the degrees of suitability and adaptability of each vegetation type to parts of the study region are explored with respect of the soil water holding capacity, and the model results were found consistent with the observed affinity patterns.

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