Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history

Rosas, Miluska A.; Gutiérrez, Ronald R.

doi:10.1016/j.scitotenv.2019.135474

Cited by 42 publications

(20 citation statements)

References 85 publications

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“…Furthermore, it has exacerbated ecological vulnerability (Lal, 2014) and has caused considerable damage to social development and human health (Riksen & De Graaff, 2001). Previous studies have shown that developing countries are subject to soil erosion (Pimentel et al, 1995; Rosas & Gutierrez, 2020), but the harm caused by soil erosion has not received enough attentions (Borrelli et al, 2017). In subSaharan Africa, 20–25% of the total land area is currently at serious risk of soil erosion (Vågen, Lal, & Singh, 2005).…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

et al. 2021

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Wind erosion is the main form of soil erosion in arid and semiarid areas. It leads to soil loss and land degradation, which aggravates ecosystem vulnerability and threatens regional sustainable development. Exploring wind erosion and associating driving factors can provide useful information to reduce soil wind erosion and solve corresponding environmental problems. Southern Africa is characterized with severe soil wind erosion, which has brought a series of socioeconomic issues, such as food crises and poverty. This study used meteorological and remote sensing data, and the revised wind erosion equation (RWEQ) model to explore the spatio-temporal dynamics of soil erosion in Southern Africa from 1991 to 2015. The impact of climate change on soil wind erosion was also analyzed. The results showed that wind erosion fluctuated during the study period, which first showed a downward trend and then stabilized at a relatively low level after 2010. Soil wind erosion across 66.65% of the study area significantly decreased (p < .05) and near-surface wind speed was the most important influencing factor. The decrease of wind speed can significantly reduce the soil wind erosion across 39.89% of the study area. Temperature and precipitation were significantly related to soil wind erosion over 18.96% and 24.63% of the study area, respectively. Both can indirectly affect soil wind erosion through their impacts on vegetation cover. This study will help decision-makers to identify highrisk areas for soil erosion in Southern Africa and to take countermeasures effectively.

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Section: Introductionmentioning

confidence: 99%

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

et al. 2021

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“…The most common uncertainty analysis methods are Markov Chain Monte Carlo (MCMC) (Gasparini, 1995) and Generalised Likelihood Uncertainty Estimation (GLUE) (Beven and Binley, 1992). Biesemans et al (2000) applied the MCMC error propagation technique to RUSLE, while Batista et al (2021) and Rosas and Gutierrez (2020) showed how to implement the GLUE methodology in a USLE-based soil erosion modelling study at the catchment and regional scales, respectively. Swarnkar et al (2018) proposed a rather simple first-order error analysis method for modelling soil erosion using USLE in large river basins in India, by separately accounting for uncertainties in the different factors.…”

Section: Uncertainty Analysis Of Usle Soil Loss Mapmentioning

confidence: 99%

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

Majhi

Shaw

Mallick

et al. 2021

Earth-Science Reviews

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“…Degree of soil erosion: Degree of soil erosion is graded according to the erosion state of the original soil profile [26]. The indicator was determined according to the official document "Standard for classification and gradation of soil erosion" (SL190-2007) of the Ministry of Water Resources of the People's Republic of China [27].…”

Section: Evaluation Indicator Systemmentioning

confidence: 99%

Ecological Environment Evaluation of Forest Ecosystem Nature Reserves Using an Unweighted Cloud Model

Xiang

Lin

Yang

et al. 2020

Water

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The ecological environment is the foundation of human survival and development, and forest ecosystem nature reserves play an important role in the protection of the ecological environment. The evaluation of forest ecosystem nature reserves facilitates the formulation of relevant management policies. At present, the evaluation of the ecological environment of forest ecosystem nature reserves is mainly based on detailed evaluation of some elements of the ecological environment, rather than on a comprehensive quantitative evaluation that reflects the ecological environment in many aspects. To address this shortcoming, the quantitative evaluation indicator system of comprehensive ecological environment for forest ecosystem nature reserves was established based on the water, air, soil, and biological environments, according to the consensus on ecological environment in the past research and characteristics of the research area. The weight is still a necessary and important link in the evaluation of forest ecosystem nature reserves, but the accuracy of the weight results is difficult to get a scientific judgment. To prevent the evaluation results being influenced by weighting uncertainty, an unweighted cloud model was constructed to provide an evaluation mechanism without weight. The ecological environment evaluation was then carried out using the unweighted cloud model, taking Songshan Nature Reserve as a research area. The results show that the grades of the ecological environment of Songshan Nature Reserve are 21% excellent, 67% good, and 12% qualified, and that the state of the ecological environment is stable and performing well. The evaluation results for the grades of the environmental dimension layers are water environment > soil environment > biological environment > air environment. The study’s research results can provide theoretical support for the evaluation of forest ecosystem nature reserves, and for evaluation work in general when weights are difficult to determine or uncertain.

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Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history

Cited by 42 publications

References 85 publications

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

Ecological Environment Evaluation of Forest Ecosystem Nature Reserves Using an Unweighted Cloud Model

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