A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model

W., J.; Xue, Yuan; F., C.; Wang, Z. G.

doi:10.1080/0143116021000056028

Cited by 70 publications

(33 citation statements)

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“…Existing measures, such as protecting the soil with polyethylene cover or by extensive irrigation, have negative environmental impacts and are expensive. The plastic used is durable, but its manufacture requires chemical pollutants and fossil fuels, while extensive irrigation results in decreased soil quality and affects water resources (Oosterbaan, 1988;Wittwer, 1993;Ma et al, 2003;Athar and Ashraf, 2009). In addition, increased land use for biofuel crops will have a negative impact on available land for food crops and on forest lands (Campbell et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Tackling Drought Stress: RECEPTOR-LIKE KINASES Present New Approaches

et al. 2012

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Global climate change and a growing population require tackling the reduction in arable land and improving biomass production and seed yield per area under varying conditions. One of these conditions is suboptimal water availability. Here, we review some of the classical approaches to dealing with plant response to drought stress and we evaluate how research on RECEPTOR-LIKE KINASES (RLKs) can contribute to improving plant performance under drought stress. RLKs are considered as key regulators of plant architecture and growth behavior, but they also function in defense and stress responses. The available literature and analyses of available transcript profiling data indeed suggest that RLKs can play an important role in optimizing plant responses to drought stress. In addition, RLK pathways are ideal targets for nontransgenic approaches, such as synthetic molecules, providing a novel strategy to manipulate their activity and supporting translational studies from model species, such as Arabidopsis thaliana, to economically useful crops.

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Section: Introductionmentioning

confidence: 99%

Tackling Drought Stress: RECEPTOR-LIKE KINASES Present New Approaches

et al. 2012

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“…However, the most widely used model is an empirical model, the (revised) universal soil loss equation (RUSLE/USLE). The USLE and RUSLE have been applied at national level (Briggs et al 1992; Van der Knijff et al 2000), regional level (Ma et al 2003;Xu et al 2013) and basin level (Naqvi et al 2013;Ozsoy et al 2012) in different environments worldwide.…”

Section: Introductionmentioning

confidence: 99%

Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE

et al. 2015

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Soil erosion increasingly poses a great threat to human food security and environmental quality. It is necessary to implement the assessment of soil erosion so as to provide precautionary measures and relevant suggestions for soil conservation. In this paper, the soil erosion model, revised universal soil loss equation (RUSLE), was used to quantify the soil loss in a large mountainous area of Lower Jinsha River Basin. The analysis of the datasets by means of geographic information systems (GIS) together with RUSLE led to the estimation of soil erosion. Results show that the average annual soil erosion was estimated at 52.1 t ha -1 year -1 and the total annual soil loss was 4.5 9 10 8 t. The highest erosion was found along the main course of Jinsha River. Soil erosion was serious in the elevation zone between 1,675 and 2,153 m and slope zone with slopes between 15°and 35°. As for land use types, cropland and grassland contributed 84.1 % to total soil loss due to the large areas and higher erosion rates. The results can be used to advice the local government in prioritizing the areas of immediate conservation practices.

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“…In the study area, there are some agricultural support practices [7]. However, most of the farmlands in the study area are small and self-managed lands, and the spatial resolution of ETM+ imageries is 30 m, so it is impossible to distinguish the practices in a large scale watershed from the available data.…”

Section: Support Practice Factor (P)mentioning

confidence: 99%

Large scale soil erosion modeling for a mountainous watershed

Ping¹,

Nieminen²,

Tokola³

et al. 2006

WIT Transactions on Ecology and the Environment, Vol 89

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Soil erosion control requires a quantitative evaluation of potential soil erosion on a specific site. The Revised Universal Soil Loss Equation (RUSLE), Remote Sensing (RS), and Geographic Information System (GIS) were used to model soil erosion intensity for soil conservation and vegetation rehabilitation in an Upper Min River (UMR) watershed, which is in the Upper Yangtze River basin. Data used in this study to generate the soil loss were Landsat Enhanced Thematic Mapper (ETM) images, Digitized Elevation Model (DEM), soil erodibility, rainfall erosivity, and inventory data. The non-parametric k-nearest neighbor (k-NN) method was used to produce the cover management map by integrating the ETM images and vegetation coverage data measured in the 625 sample plots. The root mean square errors and significance of biases at pixel level were evaluated in order to find optimal parameters. Four raster maps have been produced for the soil erodibility, rainfall erosivity, slope length and steepness, and cover management factor, and the map with different soil loss risks has been produced for soil erosion potential. The result can be beneficial to the erosion control and ecological restoration in the degraded mountainous watershed.

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A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model

Cited by 70 publications

References 1 publication

Tackling Drought Stress: RECEPTOR-LIKE KINASES Present New Approaches

Tackling Drought Stress: RECEPTOR-LIKE KINASES Present New Approaches

Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE

Large scale soil erosion modeling for a mountainous watershed

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