![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
Spatial distribution analysis of chemical and biochemical properties across Koiliaris CZO |
VerfasserIn |
Myrto Tsiknia, Emmanouil A. Varouchakis, Nikolaos V. Paranychianakis, Nikolaos P. Nikolaidis |
Konferenz |
EGU General Assembly 2015
|
Medientyp |
Artikel
|
Sprache |
Englisch
|
Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 17 (2015) |
Datensatznummer |
250114773
|
Publikation (Nr.) |
EGU/EGU2015-15588.pdf |
|
|
|
Zusammenfassung |
Arid and semi-arid ecosystems cover approximately 47% of the Earth’s surface. Soils in these
climatic zones are often severely degraded and poor in organic carbon and nutrients.
Anthropogenic activities like overgrazing and intensive agricultural practices further
exacerbate the quality of the soils making them more vulnerable to erosion and accelerating
losses of nutrients which might end up to surface waterways degrading their quality. Data of
the geospatial distribution of nutrient availability as well as on the involved processes at
watershed level might help us to identify areas which will potentially act as sources of
nutrients and probably will allow us to adopt appropriate management practices to mitigate
environmental impacts. In the present study we have performed an extensive sampling
campaign (50 points) across a typical Mediterranean watershed, the Koiliaris Critical Zone
Observatory (CZO), organized in such a way to effectively capture the complex variability
(climatic, soil properties, hydrology, land use) of the watershed. Analyses of soil
physico-chemical properties (texture, pH, EC, TOC, TN, NO3--N, and NH4+-N) and
biochemical assays (potential nitrification rate, nitrogen mineralization rate, enzymes
activities) were carried out. Geostatistical analysis and more specifically the kriging
interpolation method was employed to generate distribution maps of the distribution of
nitrogen forms and of the related biochemical assays. Such maps could provide
an important tool for effective ecosystem management and monitoring decisions. |
|
|
|
|
|