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EXECUTIVE SUMMARY - UNESCO World Heritage

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Pre-proposal No 2 SPATIAL VARIABILITY OF SOIL DEPTH AND TRANSPORT<br />

PROPERTIES AS THE PRINCIPAL INDICATORS OF ENVIRONMENTAL SOIL FUNCTIONS<br />

Description<br />

A soil acts as a physical, chemical and biological reactor {Richter 1987), which determines the functionality of ecosystems. Some of the most<br />

important forest soil functions include the biomass production, regulation of ecosystem processes and environmental interaction, i. e. mainly<br />

accumulation, filtration and transformation. Individual functions are most often approximated through certain attributes and their indicators,<br />

which are parameters relatively easily available from soil survey or mapping, such as textural composition, structure, pH and others. More<br />

complex indicators, termed as pedotransfer functions represent combinations of several variables and are based on various types of correlation<br />

analysis with the aim to extract transformation relationships. As important forest soils quality indicators, organic matter content, porosity<br />

and infiltration intensity have recently been proposed by international working groups. The most frequently used indicators however provide<br />

only a rough and little reliable approximation of soil functions, as they are based on intensity variables, instead of the capacity ones.<br />

The estimation of forest soil functions based on the intensity-capacity approach requires a sufficient knowledge on the spatial variability of the<br />

forest soils depth, which is one of he least studied processes due to inherent technical difficulties. This problem is often solved by converting<br />

the intensity into capacity variables for deliberately selected top soil layers, by the assumption of an average depth without any knowledge on<br />

the type of its distribution, or by employing simple models rendering soil depth as a function of the elevation, slope curvature etc. Currently,<br />

methods for the prediction of soil depth based on soil-landscape regression models are constructed, and methods for non-destructive, geophysical<br />

measurement of soil depth, such as the ground penetration or electric resistivity tomography are being further developed.<br />

The importance and connection between the soil depth and soil transport properties is well illustrated by the fact that variability in correlation<br />

relationships between the soil properties and topographic features at various depths may exist, conditioned by the declining hydraulic conductivity<br />

in the downward direction. Another reason, why even the intensity-capacity approach may not deliver expected reliability and accuracy<br />

in the estimation of forest soil functions, is the enormous spatial variability of the soil hydraulic conductivity and the susceptibility of forest<br />

soils to the preferential flow. Due to non-linear dependence of the water flow velocity on the porous volume properties and the occurrence of<br />

structural heterogeneity of forest soils, the pedotransfer functions do not allow for viable predictions of the soil hydraulic conductivity from static<br />

properties. As an alternative to a time consuming, labour intensive and little representative direct measurement on undisturbed samples,<br />

soil hydraulic conductivity is often predictions based on retention curves. The methods are being constantly improved, for instance by a model<br />

allowing for a bimodal distribution of the soil pores. For these reasons, no systematic data on the transport properties of forest soils are available<br />

either abroad, or in Slovakia.<br />

Literature references (including those used in the methodological section)<br />

BELL, J. C., CUNNINGHAM, R. L., HAVENS, M. V., 1992: Calibration and validaton of a soil-landscape model for predicting soil drainage<br />

class. Soil. Sci. Soc. Am. Journal, 56, 6, 1860–1866.<br />

BLUM, W.E.H., SANTELISES, A. A, 1994: A Concept of Sustainability and Resilience Based of Soil Functions: the Role of the International<br />

Society of Soil Science in Promoting Sustainable Land Use. In: Greenland D.J. and I. Szabolcs (Eds.): Soil Resilience and Sustainable Land<br />

Use, pp. 535-542. CAB INTERNATIONAL Wallingford, 1994.<br />

BOER, M., DEL BARIO, G., PUGDEFÁBRES, J., 1996: Mapping soil depth classes in dry Mediterannean areas usng terrain attributes derived<br />

from a digital elevation model. Geoderma, 72, 1–2, 99–118.<br />

BOUMA, J, 1989: Using soil survey data for quantitative land evaluations. Adv. Soil Sci, 9, 177–213.<br />

BOURENNANE, H., KING, D., COUTURIER A., 2000: Comparison of kriging with external drift and simple linear regression for predicting soil<br />

horizon thickness with different sample densities. Geoderma 97, 3–4, 255–271.<br />

BRUBAKER, S. C., JONES, A. J., LEWIS, D. T., FRANK, K., 1993: Soil properties associated with landscape position. Soil Sci. Soc. Am. Journal<br />

57, 1, 235–239.<br />

CAPULIAK, J., PICHLER, V., GREGOR, J., PICHLEROVÁ, M., BEBEJ, J., 2005: V˘poãet desukcie lesného porastu na báze indikátorového<br />

experimentu calculation of forest desiccation on the base of indicator experimentu. In: Sobocká, J., (ed): ·tvrté pôdoznalecké dni v SR. Zborník<br />

referátov z vedeckej konferencie pôdoznalcov SR, âingov, 14.–16. jún, 2005. VÚPOP, Societas Pedologica Slovaca, Bratislava, 60–64.<br />

CATANI,F,. SEGONI, S., FALORNI, G., 2006: A soil depth prediction scheme for geomorphologic and hydrologic distributed modeling. Geophysical<br />

Research Abstracts, Vol. 8, 09405.<br />

COSENZA, P., MARMET, E., REJIBA, F., CUI, Y. J, TABBAGH, A., CHARLERY, Y, 2006: Correlations between geotechnical and electrical<br />

data: A case study at Garchy in France. Journal of Applied Geophysics. (In press).<br />

DE GROOT, R. S., WILSON, M. A., BOUMANS, R. M. J., 2002: A typology for the classification, description and valuation of ecosystem functions,<br />

goods and services. Ecological economics (May 2002)<br />

DE VAAL, C., 2004: Post-socialist Property Rights and Wrongs in Albania: An Ethnography of Agrarian Change, 2, 1, 19–50.<br />

DORAN, J. W., LEIBIG, M., SANTANA, D. P., 1996: Soil health and sustainability. Adv. Agron. 56, pp. 1–56.<br />

DURNER, W., 1991: Vorhersage der hydraulischenLeitfähigkeit strukturierten Böden. Bayreuther bodenkundliche Berichte, Band 20, 180ss.<br />

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