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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 6
Hydrol. Earth Syst. Sci., 12, 1257–1271, 2008
https://doi.org/10.5194/hess-12-1257-2008
© 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, 1257–1271, 2008
https://doi.org/10.5194/hess-12-1257-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  25 Nov 2008

25 Nov 2008

Vegetation dynamics and soil water balance in a water-limited Mediterranean ecosystem on Sardinia, Italy

N. Montaldo1, J. D. Albertson2, and M. Mancini3 N. Montaldo et al.
  • 1Dipartimento di Ingegneria del Territorio, Università di Cagliari, Cagliari, Italy
  • 2Department of Civil and Environmental Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
  • 3DIIAR, Politecnico di Milano, Milano, Italy

Abstract. Mediterranean ecosystems are commonly heterogeneous savanna-like ecosystems, with contrasting plant functional types (PFTs, e.g. grass and woody vegetation) competing for water. Mediterranean ecosystems are also commonly characterized by strong inter-annual rainfall variability, which influences the distributions of PFTs that vary spatially and temporally. An extensive field campaign in a Mediterranean setting was performed with the objective to investigate interactions between vegetation dynamics, soil water budget and land-surface fluxes in a water-limited ecosystem. Also a vegetation dynamic model (VDM) is coupled to a 3-component (bare soil, grass and woody vegetation) Land surface model (LSM). The case study is in Orroli, situated in the mid-west of Sardegna within the Flumendosa river basin. The landscape is a mixture of Mediterranean patchy vegetation types: trees, including wild olives and cork oaks, different shrubs and herbaceous species. Land surface fluxes, soil moisture and vegetation growth were monitored during the May 2003–June 2006 period. Interestingly, hydrometeorological conditions of the monitored years strongly differ, with dry and wet years in turn, such that a wide range of hydrometeorological conditions can be analyzed. The coupled VDM-LSM model is successfully tested for the case study, demonstrating high model performance for the wide range of eco-hydrologic conditions. Results demonstrate also that vegetation dynamics are strongly influenced by the inter-annual variability of atmospheric forcing, with grass leaf area index changing significantly each spring season according to seasonal rainfall amount.

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