Impacts of Global Climate Change 2005
DOI: 10.1061/40792(173)482
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Modeling Response of Soil Erosion and Runoff to Changes in Precipitation and Cover

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Cited by 88 publications
(116 citation statements)
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“…For example, a study in America indicated that the crop yields would be reduced by 2 to 4% if current water erosion rates continue for the next 10 decades (Trimble and Crosson, 2000). New reports claim that there is a clear relation between erosion and changes in carbon cycle and precipitation (Weltzin et al, 2003;Nearing et al, 2005). Measurements at the field scale indicate that the soil organic carbon pool (SOCP) decreases significantly after long-term severe erosion, which in turn may release huge amounts of CO 2 to the atmosphere and eventually contribute to global warming (Lal and Pimentel, 2008).…”
Section: Introductionmentioning
confidence: 99%
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“…For example, a study in America indicated that the crop yields would be reduced by 2 to 4% if current water erosion rates continue for the next 10 decades (Trimble and Crosson, 2000). New reports claim that there is a clear relation between erosion and changes in carbon cycle and precipitation (Weltzin et al, 2003;Nearing et al, 2005). Measurements at the field scale indicate that the soil organic carbon pool (SOCP) decreases significantly after long-term severe erosion, which in turn may release huge amounts of CO 2 to the atmosphere and eventually contribute to global warming (Lal and Pimentel, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Among these factors however, the spatiotemporal variations of rainfall play a key role (Apaydin et al, 2006;Wei et al, 2007Wei et al, , 2009Baigorria et al, 2007). Due to poor vegetative cover and fragile ecosystem, surface hydrological responses are even sensitive to small fluctuations of rainfall in the semiarid regions (Yair and Raz-Yassif, 2004;Wang et al, 2005;Nearing et al, 2005;Leblance et al, 2008). Knowledge about the role of rainfall temporal variations on water erosion is thus significant for erosion control and larger-scale hydrological predictions.…”
Section: Introductionmentioning
confidence: 99%
“…These assumptions can be criticized, because intensities at fine time step (5 min) strongly affect these factors (Cerdan et al 2002), whereas infiltration capacities used in this study never evolve during the modelling process. This point frequently poses a problem in numerous modelling approaches (Nearing et al 2005). Nonetheless, the assumptions are retained here for simplicity and tractability.…”
Section: Data Acquisition and Chosen Parametersmentioning
confidence: 99%
“…Furthermore, the local population is unaware of the possible flash flooding risk to which they are exposed. The other models developed earlier, such as STREAM, LISEM, or WATEM (De Vente and Poesen 2005;Nearing et al 2005), permit to manage flash flooding susceptibility for a specific basin but not on many basins, since local to outlet scales, and by playing with different intensities. Therefore, these simulations proposed by RUICELLS can improve our knowledge without taking into account rains frequency.…”
Section: Advantages and Limitations For Anticipationmentioning
confidence: 99%
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