2021
DOI: 10.1016/j.jhydrol.2021.125963
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Coupling the probability of connectivity and RUSLE reveals pathways of sediment transport and soil loss rates for forest and reclaimed mine landscapes

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Cited by 21 publications
(5 citation statements)
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“…Previous studies have highlighted the response of water and sediment transport processes to roads [9,13,14]. These studies confirmed that, due to the complex network structure characteristics of the road system itself and its direct or indirect impact on the surrounding landscape as a disturbance, roads can significantly change the sediment production process by changing the landscape pattern, land use, topographical features, and vegetation cover of a watershed [1,2].…”
Section: Introductionmentioning
confidence: 54%
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“…Previous studies have highlighted the response of water and sediment transport processes to roads [9,13,14]. These studies confirmed that, due to the complex network structure characteristics of the road system itself and its direct or indirect impact on the surrounding landscape as a disturbance, roads can significantly change the sediment production process by changing the landscape pattern, land use, topographical features, and vegetation cover of a watershed [1,2].…”
Section: Introductionmentioning
confidence: 54%
“…This indicates that the transmission distance of sediment-loaded runoff to the sink (stream) may be extended when the road is taken as the transmission pathways. This result is likely related to the spatial distribution (approximately parallel) of roads and streams [27,51,58], which cause the sediment-loaded runoff to be transported along the road after altering direction, and thus extending the pathway length prior to entering the sink (steam) [13]. However, on a larger scale such as the entire catchment, roads are an efficient transport pathway for sediment-loaded runoff, resulting in higher IC in a larger range (>90 m) farther from the road than that without considering the impact of roads.…”
Section: Sediment Connectivity In Response To Forest Roadsmentioning
confidence: 99%
“…The results revealed that the RUSLE could approve the variation of soil loss between protected and non-protected regions, which conforms to the results of a previous study. In other words, selecting and using a suitable model such as RUSLE has been successful in estimating soil erosion, and the results can be used by decision-makers [52]. Applying the RUSLE to assess soil loss in rehabilitated mineral land and forest areas, the researchers found that the rate of soil loss in the restored mineral lands was higher than its amount in forest areas.…”
Section: Discussionmentioning
confidence: 99%
“…Empirical models rely on statistical relationships between erosion quantity or intensity and contributing factors. Notable empirical models include the Washington Road Surface Erosion Model (WARSEM) [60], Revised Universal Soil Loss Equation (RUSLE) [22], Road Sediment Model (ROADMOD), Sediment Model (SEDMODL) [39], St. John's Sediment Budget Model (STJ-EROS) [2], and Road Erosion and Delivery Index (READI) [64]. The above models can be used to evaluate and predict soil erosion and sediment yield.…”
Section: Assessing Sediment Production Of Forest Road Erosionmentioning
confidence: 99%
“…Additionally, some researchers have synthesized the progress and achievements of forest road erosion research at different stages from various perspectives. For instance, Seutloali and Reinhard Beckedahl [20], Croke and Hairsine [21], and Mahoney et al [22] have reviewed sediment production and deposition processes in forest roads, along with the transport processes and pathways of eroded sediment. Fu et al [15] provided an overview of models used to estimate sediment production from forest unpaved roads and sediment transport to streams under various scenarios.…”
Section: Introductionmentioning
confidence: 99%