4.5 Article

Monitoring Hydrological Processes for Land and Water Resources Management in a Mediterranean Ecosystem: The Alento River Catchment Observatory

Journal

VADOSE ZONE JOURNAL
Volume 17, Issue 1, Pages -

Publisher

WILEY
DOI: 10.2136/vzj2018.03.0042

Keywords

-

Funding

  1. Helmholtz Association
  2. Federal Ministry of Education and Research of Germany
  3. MiUR-PRIN Project Innovative methods for water resources management under hydro-climatic uncertainty scenarios [2010JHF437]
  4. CRP-IAEA project Assessment of the mechanisms affecting nitrate load in the riparian and hyporheic zones impacted by nutrient-bearing groundwater by means of isotopic and hydrogeologic techniques in the Alento river basin (Salerno, Italy)

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In recent years, the critical zone (CZ) of catchments across the Mediterranean region has been influenced by rapid changes in both climate seasonality and land use-land cover. Rural ecosystems in southern Europe are experiencing prolonged droughts, seriously compromising water resource availability and crop yields while increasing the risk of wildfire occurrence. Rainy seasons are likely to be characterized by intense storms that trigger floods, resulting in increasing damage severity. The negative effects of anthropogenic disturbance on hydrological ecosystem services can be tempered by demand-side adaptation options and appropriate investments to ensure water supply under drought conditions. To shed light on some of the scientific challenges related to these issues, a critical zone observatory (CZO) has been established in the Alento River catchment. Although sampling campaigns and monitoring investigations have been performed in this area for >25 yr, a more systematic research program was recently started to take comprehensive measurements in representative subcatchments of the study area. These sites are instrumented with advanced ground-based sensor network platforms that provide hydro-meteorological variables and fluxes in the groundwater-soil-vegetation-atmosphere system. Hydrological models of different complexity exploit the dense information gathered to assess the impact of land use and climate changes on key functions and services of the CZO in the Alento River catchment.

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