2016
DOI: 10.1016/j.earscirev.2016.10.004
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Impacts of climate change on water erosion: A review

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Cited by 408 publications
(225 citation statements)
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References 175 publications
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“…This implies mean soil erosion rate of this high-latitude headwater watershed projected in historical times has exceeded the most commonly quoted tolerate soil loss rate (1 t·ha −1 ·year −1 ) [46][47][48]. The erosion rate of this headwater watershed was likely to continue increasing under future climate scenarios if no adaption strategies and measurements were undertaken.…”
Section: Environmental Implicationsmentioning
confidence: 99%
“…This implies mean soil erosion rate of this high-latitude headwater watershed projected in historical times has exceeded the most commonly quoted tolerate soil loss rate (1 t·ha −1 ·year −1 ) [46][47][48]. The erosion rate of this headwater watershed was likely to continue increasing under future climate scenarios if no adaption strategies and measurements were undertaken.…”
Section: Environmental Implicationsmentioning
confidence: 99%
“…Previous studies indicated that erosion can either decrease or increase under climate change due to the combined effect of decreasing precipitation, increasing intensity and changing vegetation cover (Li and Fang, 2016). However, most previous studies do not, or insufficiently, account for crucial processes like infiltration excess surface runoff, and intra-and inter-annual 15 vegetation development as affected by climate change.…”
Section: Discussionmentioning
confidence: 94%
“…To enhance accuracy and spatial resolution of climate projections some studies adopt Regional Climate Models (RCMs) to downscale GCM output (Jacob et al, 2014) and apply bias-correction methods to overcome the bias between historical observed and modelled data. While the change factor (or delta change) approach is the most popular bias-correction 10 method, other bias-correction methods that consider the change in future precipitation distribution are needed to assess the effects of changes in frequency and intensity of extreme events (Mullan et al, 2012;Li and Fang, 2016). The selection of climate models, downscaling and bias-correction methods strongly affects the climate projections (Maraun et al, 2017) and consequently also the simulated hydrological and erosional response.…”
mentioning
confidence: 99%
“…Dentre esses modelos, o SWAT vem sendo amplamente utilizado em diversas partes do mundo (DESTA; LEMMA, 2017;LI;FANG, 2016;VIGIAK et al, 2017). Sua popularização deve-se a possibilidade de integração do modelo com um Sistema de Informações Geográficas (SIG), o que permite uma maior facilidade na manipulação dos dados de entrada e de saída do modelo.…”
Section: Introductionunclassified