scholarly journals Retraction: Temporary ditches are effective in reducing soil erosion in hilly areas. An evaluation with the RUSLE model

2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Rosa Francaviglia ◽  
Ulderico Neri
Keyword(s):  
Soil Erosion ◽  
Original Data ◽  
Copyright Infringement ◽  
Water Control ◽  
Short Term ◽  
Runoff Water ◽  
Rusle Model ◽  
Italian Regions ◽  
Sloping Land ◽  
Cross Compliance

To: Pier Paolo Roggero, Editor-in-Chief, Italian Journal of Agronomy, and Michele Moscato, PAGEPress Publications, Publisher We take note of your communication following the report by Dr. Paolo Bazzoffi regarding the copyright infringement of the paper ‘Effectiveness of the GAEC cross-compliance standard short-term measures for runoff water control on sloping land (temporary ditches and grass strips) in controlling soil erosion’ (Authors: Bazzoffi, Ciancaglini, Laruccia), that can be found at the following address: https://www.agronomy.it/index.php/agro/ article/view/ija.2011.6.s1.e3. The title of the retracted publication is: ‘Temporary ditches are effective in reducing soil erosion in hilly areas. An evaluation with the RUSLE model’ (Authors: Francaviglia, Neri), that can be found at the following address: https://www.agronomy.it/index. php/agro/article/view/1762). The undersigned authors thoroughly agree with the points raised by Dr. Paolo Bazzoffi in relation to the copyright infringement. In particular, we agree that the original paper ‘Effectiveness of the GAEC cross compliance standard short-term measures for runoff water control on sloping land (temporary ditches and grass strips) in controlling soil erosion’ was not clearly indicated as original data source in the paper ‘Temporary ditches are effective in reducing soil erosion in hilly areas. An evaluation with the RUSLE model’. We also recognize that we did not give credit to Dr. Paolo Bazzoffi of the original methodology, particularly: i) the original materials and methods; ii) the GIS elaboration; and iii) the original data and results. The authors declare that: - they considered the opportunity to review the data published by Dr. Bazzoffi et al. shown in Table 7 of their original publication after a data re-elaboration, as shown in Table 3 of the publication to be retracted, with the aim to provide a statistical comparison of erosion in hilly agricultural land among the Italian Regions, as well as introducing an evaluation of the weight of the parameters implemented in the RUSLE model using a multiple regression technique; - they are aware of not having adequately recognized the copyrights of Dr. Bazzoffi and co-authors Ciancaglini and Laruccia. For these reasons, and as requested, we retract the paper ‘Temporary ditches are effective in reducing soil erosion in hilly areas. An evaluation with the RUSLE model’ from publication. We apologize to Dr. Bazzoffi, Dr. Ciancaglini and Dr. Laruccia for the unpleasant inconvenience caused. We also take the opportunity to thank Dr. Paolo Bazzoffi for coordinating the EFFICOND and MONACO projects, in which we participated in various work packages, offering the possibility of a valuable and constructive work experience. Sincerely, Rosa Francaviglia and Ulderico Neri

scholarly journals Environmental effectiveness of GAEC cross-compliance Standard 1.1a (temporary ditches) and 1.2g (permanent grass cover of set-aside) in reducing soil erosion and economic evaluation of the competitiveness gap for farmers

2016 ◽  
Vol 10 (1s) ◽  
Author(s):  
Paolo Bazzoffi ◽  
Rosa Francaviglia ◽  
Ulderico Neri ◽  
Rosario Napoli ◽  
Alessandro Marchetti ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Vegetation Cover ◽  
Bare Soil ◽  
Runoff Water ◽  
Rusle Model ◽  
Environmental Effectiveness ◽  
Additional Costs ◽  
Soil Erosion By Water ◽  
Cross Compliance ◽  
Made In

<p>This paper shows the results of the monitoring carried out in three hilly farms of the MONACO project in order to verify the effectiveness of the Standard 1.1 <sub>(commitment a)</sub> (temporary ditches) and Standard 1.2 <sub>(commitment g)</sub> (Vegetation cover throughout the year in set-aside land) in the reduction in soil erosion, contained in Rule 1: ‘minimum land management that meets specific conditions’ of the decree Mipaaf 2009 and following modifications, until the recent decree No. 180 of January 23, 2015. In addition, the assessment of the competitiveness gap was done. That is the evaluation of the additional costs borne by the beneficiary of the single payment determined from agronomic commitments. Monitoring has also compared the erosion actually observed in the field with that predicted by RUSLE model (Revised Universal Soil Loss Equation) (Renard et al., 1997) in the two situations: with and without the presence of temporary ditches, i.e. assuming Factual (compliance rules) and in that Counterfactual (infringement). This comparison was made in view of the fact that the RUSLE model was chosen by the 'European Evaluation Network for Rural Development (EEN, 2013) as a forecasting tool for the quantification of' Common Indicator ‘soil erosion by water’. The results of soil erosion survey carried out by using a new  UAV-GIS methodology  on two monitoring farms in two years of observations have shown that temporary ditches were effective in decreasing erosion, on average, by 42.5%, from 36. 59 t ha<sup>-1</sup> to 21.05 t ha<sup>-1</sup> during the monitoring period. It was also evaluated the effectiveness of grass strips (at variance with the commitment of temporary ditches). The results showed a strong, highly significant, reduction in erosion by about 35% times respect soil erosion observed in bare soil and also a significant reduction in the volume of runoff water.  With regard to Standard 1.2 <sub>(commitment g)</sub> the statistical analysis shows a strong and highly significant decrease in the erosion due to the vegetation cover of the soil compared to bare soil. The economic competitiveness gap of  Standard 1.1<sub>(commitment a)</sub> stood at € 4.07±1.42 € ha<sup>-1</sup> year<sup>-1</sup>, while CO<sub>2</sub> emissions due to execution of temporary ditches was 2.58 kg ha<sup>-1</sup>year<sup>-1</sup>. As for the Standard 1.2 <sub>(commitment g) </sub>the average differential competitiveness gap amounted to  50.22±13.7 € ha<sup>-1</sup> year<sup>-1</sup> and an output of CO<sub>2</sub> equal to 31.52  kg ha<sup>-1</sup> year.</p>

scholarly journals ‘Mind the Gap’: Reconnecting Local Actions and Multi-Level Policies to Bridge the Governance Gap. An Example of Soil Erosion Action from East Africa

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 352
Author(s):  
Claire Kelly ◽  
Maarten Wynants ◽  
Linus K. Munishi ◽  
Mona Nasseri ◽  
Aloyce Patrick ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Policy Integration ◽  
Short Term ◽  
Institutional Processes ◽  
Governance Challenges ◽  
Multi Level ◽  
Context Specific ◽  
Governance Processes ◽  
Design And Testing ◽  
Erosion Action

Achieving change to address soil erosion has been a global yet elusive goal for decades. Efforts to implement effective solutions have often fallen short due to a lack of sustained, context-appropriate and multi-disciplinary engagement with the problem. Issues include prevalence of short-term funding for ‘quick-fix’ solutions; a lack of nuanced understandings of institutional, socio-economic or cultural drivers of erosion problems; little community engagement in design and testing solutions; and, critically, a lack of traction in integrating locally designed solutions into policy and institutional processes. This paper focusses on the latter issue of local action for policy integration, drawing on experiences from a Tanzanian context to highlight the practical and institutional disjuncts that exist; and the governance challenges that can hamper efforts to address and build resilience to soil erosion. By understanding context-specific governance processes, and joining them with realistic, locally designed actions, positive change has occurred, strengthening local-regional resilience to complex and seemingly intractable soil erosion challenges.

scholarly journals Environmental effectiveness of the cross compliance standard 4.6 ‘Minimum livestock stocking rates and/or appropriate regimens’

2015 ◽  
Vol 10 (1s) ◽  
Author(s):  
Lucia Sepe ◽  
Mauro Salis ◽  
Rosa Francaviglia ◽  
Marco Fedrizzi ◽  
Antonio Melchiorre Carroni ◽  
...  
Keyword(s):  
Animal Species ◽  
Maximum Level ◽  
Farming System ◽  
Climatic Conditions ◽  
Stocking Rate ◽  
Italian Regions ◽  
Environmental Effectiveness ◽  
The Cross ◽  
Stocking Rates ◽  
Cross Compliance

The paper presents the main results of the monitoring on the effectiveness of the cross compliance standard 4.6 ‘Minimum livestock stocking rates and/or appropriate regimes’ carried out in two case studies within the project MO.NA.CO: sheep grazing in medium-rich pastures in southern Apennines and in the plain of Sardinia, Italy. The monitoring involved aspects related to soil, flora, livestock and economics (competitiveness differential). The study showed, although in the short term, that the minimum stocking rate 0.2 LU/ha/year was not effective and, conversely, the effectiveness of the maximum level of stocking rate (4 LU/ha) for the maintenance of the habitat. The generalization in applying minimum and maximum rate, not taking into account the climatic conditions, forage resources or farming system (including the species of grazing animal) may lead to a serious nullification of the conditions of the Standard. The authors recommend to identify homogeneous areas and eligible specific stocking rates from all Italian regions, also considering the animal species.

Rainfall runoff in soil erosion with simulated rainfall, overland flow and cover

Soil Research ◽  
1983 ◽  
Vol 21 (2) ◽  
pp. 109 ◽  
Author(s):  
MJ Singer ◽  
PH Walker
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Rainfall Intensity ◽  
Overland Flow ◽  
Podzolic Soil ◽  
Simulated Rainfall ◽  
Rainfall Runoff ◽  
Runoff Water ◽  
Soil Transport ◽  
Raindrop Impact

The 20-100 mm portion of a yellow podzolic soil (Albaqualf) from the Ginninderra Experiment Station (A.C.T.) was used in a rainfall simulator and flume facility to elucidate the interactions between raindrop impact, overland water flow and straw cover as they affect soil erosion. A replicated factorial design compared soil loss in splash and runoff from 50 and 100 mm h-1 rainfall, the equivalent of 100 mm h-1 overland flow, and 50 and 100 mm h-1 rainfall plus the equivalent of 100 mm h-' overland flow, all at 0, 40 and 80% straw cover on a 9% slope. As rainfall intensity increased, soil loss in splash and runoff increased. Within cover levels, the effect of added overland flow was to decrease splash but to increase total soil loss. This is due to an interaction between raindrops and runoff which produces a powerful detaching and transporting mechanism within the flow known as rain-flow transportation. Airsplash is reduced, in part, because of the changes in splash characteristics which accompany changes in depths of runoff water. Rain-flow transportation accounted for at least 64% of soil transport in the experiment and airsplash accounted for no more than 25% of soil transport The effects of rainfall, overland flow and cover treatments, rather than being additive, were found to correlate with a natural log transform of the soil loss data.

scholarly journals RUSLE Model Based Annual Soil Loss Quantification for Soil Erosion Protection in Fincha Catchment, Abay River Basin, Ethiopia.

2021 ◽  
Author(s):  
Habtamu Tamiru ◽  
Meseret Wagari
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Soil Loss ◽  
Annual Rainfall ◽  
Rainfall Erosivity ◽  
Landsat 8 ◽  
Land Resources ◽  
Rusle Model ◽  
Factor C ◽  
Significant Factors

Abstract Background: The quantity of soil loss as a result of soil erosion is dramatically increasing in catchment where land resources management is very weak. The annual dramatic increment of the depletion of very important soil nutrients exposes the residents of this catchment to high expenses of money to use artificial fertilizers to increase the yield. This paper was conducted in Fincha Catchment where the soil is highly vulnerable to erosion, however, where such studies are not undertaken. This study uses Fincha catchment in Abay river basin as the study area to quantify the annual soil loss, where such studies are not undertaken, by implementing Revised Universal Soil Loss Equation (RUSLE) model developed in ArcGIS version 10.4. Results: Digital Elevation Model (12.5 x 12.5), LANDSAT 8 of Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), Annual Rainfall of 10 stations (2010-2019) and soil maps of the catchment were used as input parameters to generate the significant factors. Rainfall erosivity factor (R), soil erodibility factor (K), cover and management factor (C), slope length and steepness factor (LS) and support practice factor (P) were used as soil loss quantification significant factors. It was found that the quantified average annual soil loss ranges from 0.0 to 76.5 t ha-1 yr-1 was obtained in the catchment. The area coverage of soil erosion severity with 55%, 35% and 10% as low to moderate, high and very high respectively were identified. Conclusion: Finally, it was concluded that having information about the spatial variability of soil loss severity map generated in the RUSLE model has a paramount role to alert land resources managers and all stakeholders in controlling the effects via the implementation of both structural and non-structural mitigations. The results of the RUSLE model can also be further considered along with the catchment for practical soil loss quantification that can help for protection practices.

Taxi Booking Mobile App Order Demand Prediction Based on Short-Term Traffic Forecasting

2017 ◽  
Vol 2634 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Yunxuan Li ◽  
Jian Lu ◽  
Lin Zhang ◽  
Yi Zhao
Keyword(s):  
High Frequency ◽  
Demand Forecasting ◽  
Low Frequency ◽  
Original Data ◽  
Mobile App ◽  
Support Vector ◽  
Short Term ◽  
Traffic Demand ◽  
Traffic Forecasting ◽  
Demand Prediction

The Didi Dache app is China’s biggest taxi booking mobile app and is popular in cities. Unsurprisingly, short-term traffic demand forecasting is critical to enabling Didi Dache to maximize use by drivers and ensure that riders can always find a car whenever and wherever they may need a ride. In this paper, a short-term traffic demand forecasting model, Wave SVM, is proposed. It combines the complementary advantages of Daubechies5 wavelets analysis and least squares support vector machine (LS-SVM) models while it overcomes their respective shortcomings. This method includes four stages: in the first stage, original data are preprocessed; in the second stage, these data are decomposed into high-frequency and low-frequency series by wavelet; in the third stage, the prediction stage, the LS-SVM method is applied to train and predict the corresponding high-frequency and low-frequency series; in the last stage, the diverse predicted sequences are reconstructed by wavelet. The real taxi-hailing orders data are applied to evaluate the model’s performance and practicality, and the results are encouraging. The Wave SVM model, compared with the prediction error of state-of-the-art models, not only has the best prediction performance but also appears to be the most capable of capturing the nonstationary characteristics of the short-term traffic dynamic systems.

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