Journal
LAND DEGRADATION & DEVELOPMENT
Volume 27, Issue 2, Pages 438-448Publisher
WILEY
DOI: 10.1002/ldr.2245
Keywords
land use system; soil management system; soil quality indicator; Mai-Negus catchment; northern Ethiopia
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Funding
- DAAD/GTZ (Germany) through the Center for Development Research (ZEF), University of Bonn (Germany)
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Assessment of soil quality (SQ) indicators that detect soil degradation in different land use and soil management systems (LUSMS) is desirable to achieve sustainable management strategies. The LUSMS identified for evaluation included natural forest (LS1), plantation of protected area (LS2), grazed land (LS3), teff (Eragrostis tef)-faba bean (Vicia faba) rotation (LS4), teff-wheat (Triticum vulgare)/barley (Hordeum vulgare) rotation (LS5), teff mono-cropping (LS6), maize (Zea mays) mono-cropping (LS7), and uncultivated marginal land (LS8). The SQ indicators were significantly influenced (p005) by the LUSMS. The first four principal components with eigenvalue>1 explain about 88% of the SQ variability across the LUSMS. The final principal component chosen indicators that mainly influence SQ variability were organic carbon, total nitrogen, cation exchange capacity, total phosphorus, silt, bulk density, and iron. In this study, a higher SQ was found in LS1 followed by LS2, whereas a seriously degraded SQ was observed in LS8 followed by LS6. Copyright (c) 2013 John Wiley & Sons, Ltd.
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