Interactive Discussion Comments "Spatio-temporal patterns of the effects of precipitation variability and land use/cover changes on long-term changes in sediment yield in the Loess Plateau, China"

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
Land Use ◽  
Loess Plateau ◽  
Sediment Yield ◽  
Temporal Patterns ◽  
Precipitation Variability ◽  
The Loess Plateau ◽  
Long Term Changes ◽  
Spatio Temporal

scholarly journals Spatio-temporal patterns of the effects of precipitation variability and land use/cover changes on long-term changes in sediment yield in the Loess Plateau, China

2017 ◽  
Author(s):  
Guangyao Gao ◽  
Bojie Fu ◽  
Murugesu Sivapalan
Keyword(s):  
Land Use ◽  
Surface Area ◽  
Loess Plateau ◽  
Sediment Yield ◽  
Land Surface ◽  
Sediment Load ◽  
Temporal Patterns ◽  
Precipitation Variability ◽  
Spatio Temporal ◽  
Annual Sediment

Abstract. Within China's Loess Plateau there have been concerted revegetation efforts and engineering measures over the last 50 years aimed at reducing soil erosion and land degradation. As a result, annual streamflow, sediment yield and sediment concentration have all decreased considerably. Human induced land use/cover change (LUCC) was the dominant factor, contributing over 70 % of the sediment load reduction, with reductions of annual precipitation contributing the remaining 30 %. In this study, we use data on 50-year time series (1961–2011), showing decreasing trends in the annual sediment loads of fifteen catchments, to generate spatio-temporal patterns in the effects of LUCC and precipitation variability on sediment yield. The space-time variability of sediment yield was expressed as a product of two factors representing: (i) effect of precipitation (spatially variable) and (ii) fraction of treated land surface area (temporally variable). Under minimal LUCC, annual sediment yield varied linearly with precipitation, with the precipitation-sediment load relationship showing coherent spatial patterns amongst the catchments. On the other hand, the effect of LUCC is expressed in terms of a sediment coefficient, i.e., ratio of annual sediment yield to annual precipitation, which is equivalent to the slope of the sediment yield-precipitation relationship. Sediment coefficients showed a steady decrease over the study period, following a linear decreasing function of the fraction of treated land surface area. In this way, the study has brought out the separate roles of precipitation variability and LUCC in controlling spatio-temporal patterns of sediment yield at catchment scale.

scholarly journals Spatio-temporal patterns of the effects of precipitation variability and land use/cover changes on long-term changes in sediment yield in the Loess Plateau, China

2017 ◽  
Vol 21 (9) ◽  
pp. 4363-4378 ◽  
Author(s):  
Guangyao Gao ◽  
Jianjun Zhang ◽  
Yu Liu ◽  
Zheng Ning ◽  
Bojie Fu ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Area ◽  
Sediment Yield ◽  
Land Surface ◽  
Sediment Load ◽  
Temporal Patterns ◽  
Precipitation Variability ◽  
Engineering Measures ◽  
Spatio Temporal ◽  
Annual Sediment

Abstract. Within China's Loess Plateau there have been concerted revegetation efforts and engineering measures since the 1950s aimed at reducing soil erosion and land degradation. As a result, annual streamflow, sediment yield, and sediment concentration have all decreased considerably. Human-induced land use/cover change (LUCC) was the dominant factor, contributing over 70 % of the sediment load reduction, whereas the contribution of precipitation was less than 30 %. In this study, we use 50-year time series data (1961–2011), showing decreasing trends in the annual sediment loads of 15 catchments, to generate spatio-temporal patterns in the effects of LUCC and precipitation variability on sediment yield. The space–time variability of sediment yield was expressed notionally as a product of two factors representing (i) the effect of precipitation and (ii) the fraction of treated land surface area. Under minimal LUCC, the square root of annual sediment yield varied linearly with precipitation, with the precipitation–sediment load relationship showing coherent spatial patterns amongst the catchments. As the LUCC increased and took effect, the changes in sediment yield pattern depended more on engineering measures and vegetation restoration campaign, and the within-year rainfall patterns (especially storm events) also played an important role. The effect of LUCC is expressed in terms of a sediment coefficient, i.e., the ratio of annual sediment yield to annual precipitation. Sediment coefficients showed a steady decrease over the study period, following a linear decreasing function of the fraction of treated land surface area. In this way, the study has brought out the separate roles of precipitation variability and LUCC in controlling spatio-temporal patterns of sediment yield at catchment scale.

Land-use changes and check dams reducing runoff and sediment yield on the Loess Plateau of China

2019 ◽  
Vol 664 ◽  
pp. 984-994 ◽  
Author(s):  
Peng Shi ◽  
Yan Zhang ◽  
Zongping Ren ◽  
Yang Yu ◽  
Peng Li ◽  
...  
Keyword(s):  
Land Use ◽  
Loess Plateau ◽  
Sediment Yield ◽  
Land Use Changes ◽  
The Loess Plateau ◽  
Check Dams ◽  
Runoff And Sediment Yield

Sediment yield reduction associated with land use changes and check dams in a catchment of the Loess Plateau, China

CATENA ◽  
2017 ◽  
Vol 148 ◽  
pp. 126-137 ◽  
Author(s):  
Guangju Zhao ◽  
G. Matt Kondolf ◽  
Xingmin Mu ◽  
Mengwei Han ◽  
Zhong He ◽  
...  
Keyword(s):  
Land Use ◽  
Loess Plateau ◽  
Sediment Yield ◽  
Land Use Changes ◽  
Yield Reduction ◽  
The Loess Plateau ◽  
Check Dams

scholarly journals Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 982
Author(s):  
Zhou Xue ◽  
Yang Zhou
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Variation ◽  
Loess Plateau ◽  
Driving Forces ◽  
Arable Land ◽  
The Loess Plateau ◽  
Continuous Growth ◽  
Construction Land ◽  
Spatio Temporal

Land-use cover is undergoing intense change under global climate change and rapid urbanization, especially in the Loess Plateau, where ecological restoration policies like Green for Grain Project (GFGP) have been vigorously implemented since the 1980s. The main objective of this study was to distinguish the difference of spatio-temporal variation of land-use change in the two study periods of 1980–2000 and 2000–2020 at the county scales. Geographically and temporally weighted regression (GTWR) was employed to handle both the spatial and temporal heterogeneity of the driving forces for land use change. The results showed that the quantity of construction land, woodland and grassland experienced continuous growth, but arable land declined substantially. The results of GTWR model showed that the dominant influencing factors of land-use change had temporal and spatial differences in the Loess Plateau. Specifically, the implementation of GFGP and precipitation accelerated the changes in arable land, grassland and woodland. For construction land, its growth was mainly promoted by gross domestic product (GDP) and population, both of which had more obvious positive effects in the last 20 years. The findings provide a scientific basis to put forward countermeasures emphasizing sustainable land use in the Loess Plateau.

scholarly journals Soil erosion by snow gliding – a first quantification attempt in a subalpine area in Switzerland

2014 ◽  
Vol 18 (9) ◽  
pp. 3763-3775 ◽  
Author(s):  
K. Meusburger ◽  
G. Leitinger ◽  
L. Mabit ◽  
M. H. Mueller ◽  
A. Walter ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Sediment Yield ◽  
Soil Loss ◽  
Water Erosion ◽  
Erosion Rates ◽  
The Difference ◽  
Snow Gliding

Abstract. Snow processes might be one important driver of soil erosion in Alpine grasslands and thus the unknown variable when erosion modelling is attempted. The aim of this study is to assess the importance of snow gliding as a soil erosion agent for four different land use/land cover types in a subalpine area in Switzerland. We used three different approaches to estimate soil erosion rates: sediment yield measurements in snow glide depositions, the fallout radionuclide 137Cs and modelling with the Revised Universal Soil Loss Equation (RUSLE). RUSLE permits the evaluation of soil loss by water erosion, the 137Cs method integrates soil loss due to all erosion agents involved, and the measurement of snow glide deposition sediment yield can be directly related to snow-glide-induced erosion. Further, cumulative snow glide distance was measured for the sites in the winter of 2009/2010 and modelled for the surrounding area and long-term average winter precipitation (1959–2010) with the spatial snow glide model (SSGM). Measured snow glide distance confirmed the presence of snow gliding and ranged from 2 to 189 cm, with lower values on the north-facing slopes. We observed a reduction of snow glide distance with increasing surface roughness of the vegetation, which is an important information with respect to conservation planning and expected and ongoing land use changes in the Alps. Snow glide erosion estimated from the snow glide depositions was highly variable with values ranging from 0.03 to 22.9 t ha−1 yr−1 in the winter of 2012/2013. For sites affected by snow glide deposition, a mean erosion rate of 8.4 t ha−1 yr−1 was found. The difference in long-term erosion rates determined with RUSLE and 137Cs confirms the constant influence of snow-glide-induced erosion, since a large difference (lower proportion of water erosion compared to total net erosion) was observed for sites with high snow glide rates and vice versa. Moreover, the difference between RUSLE and 137Cs erosion rates was related to the measured snow glide distance (R2 = 0.64; p < 0.005) and to the snow deposition sediment yields (R2 = 0.39; p = 0.13). The SSGM reproduced the relative difference of the measured snow glide values under different land uses and land cover types. The resulting map highlighted the relevance of snow gliding for large parts of the investigated area. Based on these results, we conclude that snow gliding appears to be a crucial and non-negligible process impacting soil erosion patterns and magnitude in subalpine areas with similar topographic and climatic conditions.

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