2003
DOI: 10.1016/s0301-4797(03)00082-3
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Soil erosion in developing countries: a socio-economic appraisal

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Cited by 182 publications
(109 citation statements)
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“…With local economic development, soil erosion becomes more frequent and severe (Ananda and Herath, 2003;Bakker et al, 2005). The construction of roads and residential areas and the inappropriate use of agricultural and forest land contribute to the concentration of fast surface runoff, as well as sediment transportation from the gravitating surfaces to the channel network.…”
Section: Torrential Floods and Erosionmentioning
confidence: 99%
“…With local economic development, soil erosion becomes more frequent and severe (Ananda and Herath, 2003;Bakker et al, 2005). The construction of roads and residential areas and the inappropriate use of agricultural and forest land contribute to the concentration of fast surface runoff, as well as sediment transportation from the gravitating surfaces to the channel network.…”
Section: Torrential Floods and Erosionmentioning
confidence: 99%
“…Relaxing assumptions imposed in Boserup's scheme, this research reveals the conditions leading to the process of land expansion (30,(42)(43)(44) or land abandonment and migration (23,24,27,(45)(46)(47) vs. intensification. This brings us back to the original enduring theme and articulation of those conditions leading to Boserupian, Malthusian, or other outcomes (48).…”
Section: Agricultural Changementioning
confidence: 96%
“…However, estimation of soil erosion loss is often difficult due to the complex interplay of many factors,such as climate, land cover, soil, topography, and human activities. In addition to the biophysical parameters,social, economic, and political components also influence soil erosion (Ananda and Herath, 2003). Accurate andtimely estimation of soil erosion loss or evaluation of soil erosion risk has become an urgent task.Scientists have been involved in soil erosion research for a long time, and many models for soil erosion lossestimation have been developed (Wischmeier and Smith, 1978 Lal (2001) highlighted major empirical models for predicting soilerosion loss.…”
Section: Introductionmentioning
confidence: 99%