Title of article :
Modelling soil quality changes in Europe. An impact assessment of land use change on soil quality in Europe
Author/Authors :
Podmanicky، نويسنده , , L. and Balلzs، نويسنده , , K. and Belényesi، نويسنده , , M. and Centeri، نويسنده , , Cs. and Kristَf، نويسنده , , D. and Kohlheb، نويسنده , , N.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
12
From page :
4
To page :
15
Abstract :
Soil is one of the most important and most complex natural resources, but current developments (urbanisation, erosion and climate change) increasingly threaten this valuable resource in Europe and worldwide. The main objective of this paper is to introduce how changes in soil quality were modelled in the SENSOR project through two indicators: soil carbon content and soil water erosion. Indicators were calculated using state variables and model variables that were mainly derived from the CLUE model which predicts land use change in response to policy scenarios. case of erosion, accuracy of the calculations was evaluated by comparing GIS data with the results of the PESERA project. The PESERA and SENSOR models predicted comparable soil loss for the first year in the NUTS-X regions of Europe that were analysed. The higher resolution national soil-loss prediction USLE map largely overestimated the amount of soil loss compared to the PESERA and the SENSOR models in the NUTS-X regions of Hungary. This discrepancy may result from technical or methodological differences such as the spatial reference framework (NUTS-X regions), spatial resolution or levels of data aggregation. il organic carbon loss predictions for the NUTS-X regions of Europe are displayed on maps and background data are given in tables. The greatest decreases in soil carbon content may be expected in some regions of Poland, Latvia, Lithuania, south-eastern UK and eastern Germany. The greatest increases in soil carbon content may be expected in central and eastern parts of the UK, in Ireland, in northern and central Sweden and Estonia, in Greece, in central and southern Italy, in the island of Sardinia and in some regions of Spain. sion strongly reduces soil productivity these predictions have not only environmental but also socio-economic implications. The results presented in this paper could be used at EU level to locate regions where negative changes in soil quality can be expected.
Keywords :
Soil erosion , gis , Sustainability , SENSOR project , Soil carbon content
Journal title :
Ecological Indicators
Serial Year :
2011
Journal title :
Ecological Indicators
Record number :
2091832
Link To Document :
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