scholarly journals Effectiveness of alternative management scenarios on the sediment load in a Mediterranean agricultural watershed

2014 ◽  
Vol 45 (3) ◽  
pp. 125 ◽  
Author(s):  
Ossama M. M. Abdelwahab ◽  
Ronald L. Bingner ◽  
Fabio Milillo ◽  
Francesco Gentile
Keyword(s):  
Soil Erosion ◽  
Management Practices ◽  
Sediment Load ◽  
Source Model ◽  
Agricultural Watershed ◽  
Medium Size ◽  
Management Scenarios ◽  
Forage Crop ◽  
Alternative Management ◽  
Prediction Capability

The Annualised Agricultural Non-point Source model was used to evaluate the effectiveness of different management practices to control the soil erosion and sediment load in the Carapelle watershed, a Mediterranean medium-size watershed (506 km<sup>2</sup>) located in Apulia, Southern Italy. The model was previously calibrated and validated using five years of runoff and sediment load data measured at a monitoring station located at Ordona - Ponte dei Sauri Bridge. A total of 36 events were used to estimate the performance of the model during the period 2007-2011. The model performed well in predicting runoff, as the high values of the coefficients of efficiency and determination during the validation process showed. The peak flows predictions were satisfactory especially for the high flow events; the prediction capability of sediment load was good, even if a slight over-estimation was observed. Simulations of alternative management practices show that converting the most eroding cropland cells (13.5% of the catchment area) to no tillage would reduce soil erosion by 30%, while converting them to grass or forest would reduce soil erosion by 36.5% in both cases. A crop rotation of wheat and a forage crop can also provide an effective way for soil erosion control as it reduces erosion by 69%. Those results can provide a good comparative analysis for conservation planners to choose the best scenarios to be adopted in the watershed to achieve goals in terms of soil conservation and water quality.

scholarly journals Runoff and sediment yield modeling in a medium-size mediterranean watershed

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Ossama M.M. Abdelwahab ◽  
Tiziana Bisantino ◽  
Fabio Milillo ◽  
Francesco Gentile
Keyword(s):  
Sediment Yield ◽  
Soil Conservation ◽  
Management Practices ◽  
Southern Italy ◽  
Medium Size ◽  
Validation Process ◽  
Yield Data ◽  
Event Scale ◽  
Prediction Capability ◽  
Runoff And Sediment Yield

The AnnAGNPS model was used to estimate runoff, peak discharge and sediment yield at the event scale in the Carapelle watershed, a Mediterranean medium-size watershed (506 km2) located in Apulia, Southern Italy. The model was calibrated and validated using five years of runoff and sediment yield data measured at a monitoring station located at Ordona – Ponte dei Sauri Bridge. A total of 36 events was used to estimate the output of the model during the period 2007-2011, in comparison to the corresponding observations at the watershed outlet. The model performed well in predicting runoff, as was testified by the high values of the coefficients of efficiency and determination during the validation process. The peak flows predictions were satisfactory especially for the high flow events; the prediction capability of sediment yield was good, even if a slight over-estimation was observed. Finally, the model was used to evaluate the effectiveness of different Management practices (MPs) on the watershed (converting wheat to forest, using vegetated streams, crop rotation corn/soybean, no tillage). While the maximum reduction in sediment yield was achieved converting wheat to forest, the best compromises between soil conservation and agriculture resulted to be crop rotations.

scholarly journals Effect of Forest Management Operations on Aggregate-Associated SOC Dynamics Using a 137Cs Tracing Method

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 859
Author(s):  
Geng Guo ◽  
Xiao Li ◽  
Xi Zhu ◽  
Yanyin Xu ◽  
Qiao Dai ◽  
...  
Keyword(s):  
Forest Management ◽  
Soil Erosion ◽  
Management Practices ◽  
Negative Impact ◽  
Dynamic Change ◽  
Aggregate Size ◽  
Nutrient Loss ◽  
Vegetation Coverage ◽  
Forest Conversion ◽  
Mountain Areas

Although forest conversions have long been a focus in carbon (C) research, the relationship between soil erosion and the dynamic change of soil organic carbon (SOC) has not been well-quantified. The objective of this study was to investigate the effects of converting CBF (coniferous and broad-leaved mixed forests) to economic forests, including CF (chestnut forest), HF (hawthorn forest), and AF (apple forest), on the soil structure and nutrient loss in the Huaibei Rocky Mountain Areas, China. A 137Cs tracer method was used to provide soil erosion data in order to quantify the loss of aggregate-associated SOC. The results showed that forest management operations caused macro-aggregates to decrease by 1.69% in CF, 4.52% in AF, and 3.87% in HF. Therefore, the stability of aggregates was reduced. The SOC contents in each aggregate size decreased significantly after forest conversion, with the largest decreases occurring in AF. We quantified the loss of 0.15, 0.38, and 0.31 Mg hm−2 of aggregate-associated SOC after conversion from CBF to CF, AF, and HF, respectively. These results suggest that forest management operations have a negative impact on soil quality and fertility. CF has better vegetation coverage and less human interference, making it more prominent among the three economic forests species. Therefore, when developing forest management operations, judicious selection of tree varieties and appropriate management practices are extremely critical. In addition, measures should be taken to increase surface cover to reduce soil erosion and achieve sustainable development of economic forests.

scholarly journals PSI-20 Public perceptions of problematic equine industry sectors and management scenarios

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 263-264
Author(s):  
Kelly Melvin ◽  
Jennie L Ivey ◽  
Liesel G Schneider ◽  
Peter Krawczel
Keyword(s):  
Management Practices ◽  
Multinomial Logistic Regression ◽  
Management Scenarios ◽  
The Public ◽  
Management Scenario ◽  
Unlimited Access ◽  
Horse Industry ◽  
Definition Of ◽  
Access To Food ◽  
Equine Industry

Abstract The equine industry is highly variable with many different sectors and management practices. To determine how the public views common management practices and discipline-specific areas of the equine industry, an online study was distributed via email and social media over a 6-week period to U.S. residents over the age of 18 (n = 1,372). Survey questions included demographics, industry connection, definition of welfare and equine classification. Respondents were asked to select the most concerning option from a series of management-related scenarios. The production livestock and equine industries were then segmented by species or discipline, respectively, and respondents were asked which sector was most problematic. To analyze the data, frequency tables (Proc FREQ) and multinomial logistic regression (Proc LOGISTIC) were used in SAS 9.4 (Cary, NC) to test the factors associated with likelihood to select a given management scenario from each series (α=0.05). Respondents who were heavily connected to the industry were four times more likely than lightly connected individuals to select that a blanketed horse or unblanketed horse in 30°F weather with unlimited access to food and water equally presented no concern than to say that a blanketed or unblanketed horse in 30°F weather with unlimited access to food and water and were concerning (OR= 4.09; 95%CL: 2.08,8.04). Of the 1,244 respondents who answered, 563 (45%) said that the gaited horse industry is the most problematic equine industry compared to the racing industry (41%) and stock horse industry (8.7%). Understanding how the public perceives the various animal industries and management scenarios in relation to an individual’s connection to the industry, classification of equines and welfare definition is important to assess and improve educational intervention strategies.

scholarly journals Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 650
Author(s):  
Wakjira Takala Dibaba ◽  
Tamene Adugna Demissie ◽  
Konrad Miegel
Keyword(s):  
Soil Erosion ◽  
Best Management Practices ◽  
Sediment Yield ◽  
Soil Loss ◽  
Crop Production ◽  
Management Practices ◽  
Assessment Tool ◽  
Swat Model ◽  
Sediment Yields ◽  
Soil And Water

Excessive soil loss and sediment yield in the highlands of Ethiopia are the primary factors that accelerate the decline of land productivity, water resources, operation and function of existing water infrastructure, as well as soil and water management practices. This study was conducted at Finchaa catchment in the Upper Blue Nile basin of Ethiopia to estimate the rate of soil erosion and sediment loss and prioritize the most sensitive sub-watersheds using the Soil and Water Assessment Tool (SWAT) model. The SWAT model was calibrated and validated using the observed streamflow and sediment data. The average annual sediment yield (SY) in Finchaa catchment for the period 1990–2015 was 36.47 ton ha−1 yr−1 with the annual yield varying from negligible to about 107.2 ton ha−1 yr−1. Five sub-basins which account for about 24.83% of the area were predicted to suffer severely from soil erosion risks, with SY in excess of 50 ton ha−1 yr−1. Only 15.05% of the area within the tolerable rate of loss (below 11 ton ha−1yr−1) was considered as the least prioritized areas for maintenance of crop production. Despite the reasonable reduction of sediment yields by the management scenarios, the reduction by contour farming, slope terracing, zero free grazing and reforestation were still above the tolerable soil loss. Vegetative contour strips and soil bund were significant in reducing SY below the tolerable soil loss, which is equivalent to 63.9% and 64.8% reduction, respectively. In general, effective and sustainable soil erosion management requires not only prioritizations of the erosion hotspots but also prioritizations of the most effective management practices. We believe that the results provided new and updated insights that enable a proactive approach to preserve the soil and reduce land degradation risks that could allow resource regeneration.

scholarly journals SunnGro: A new crop model for the simulation of sunn hemp (Crotalaria juncea L.) grown under alternative management practices

2021 ◽  
Vol 146 ◽  
pp. 105975
Author(s):  
Andrea Parenti ◽  
Giovanni Cappelli ◽  
Walter Zegada-Lizarazu ◽  
Carlos Martín Sastre ◽  
Myrsini Christou ◽  
...  
Keyword(s):  
Management Practices ◽  
Crop Model ◽  
Crotalaria Juncea ◽  
Alternative Management ◽  
Sunn Hemp ◽  
New Crop

scholarly journals Effect of Soil Management on Erosion in Mountain Vineyards (N-W Italy)

2021 ◽  
Vol 13 (4) ◽  
pp. 1991
Author(s):  
Silvia Stanchi ◽  
Odoardo Zecca ◽  
Csilla Hudek ◽  
Emanuele Pintaldi ◽  
Davide Viglietti ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Management Practices ◽  
Soil Management ◽  
Buffer Strips ◽  
Total N ◽  
Organic C ◽  
Erosion Rates ◽  
Soil Ecosystem Services ◽  
Erosion Mitigation ◽  
Management Approaches

We studied the effects of three soil management approaches (permanent grassing, chemical weeding, and buffer strips), and the additional impact of tractor passage on soil erosion in a sloping vineyard located in the inner part of Aosta Valley (N-W Italian Alps). The vineyard rows were equipped with a sediment collection system with channels and barrel tanks. A total of 12 events with sediment production were observed across 6 years, and the collected sediments were weighted and analyzed. Average erosion rates ranged from negligible (mainly in grassed rows) to 1.1 t ha−1 per event (after weeding). The most erosive event occurred in July 2015, with a total rainfall of 32.2 mm, of which 20.1 were recorded in 1 h. Despite the limited number of erosive events observed, and the low measured erosion rates, permanent grassing reduced soil erosion considerably with respect to weeding; buffering had a comparable effect to grassing. The tractor passage, independent of the soil management approaches adopted, visibly accelerated the erosion process. The collected sediments were highly enriched in organic C, total N, and fine size fractions, indicating a potential loss of fertility over time. Despite the measured erosion rates being low over the experiment’s duration, more severe events are well documented in the recent past, and the number of intense storms is likely to increase due to climate change. Thus, the potential effects of erosion in the medium and long term need to be limited to a minimum rate of soil loss. Our experiment helped to compare soil losses by erosion under different soil management practices, including permanent grassing, i.e., a nature-based erosion mitigation measure. The results of the research can provide useful indications for planners and practitioners in similar regions, for sustainable, cross-sectoral soil management, and the enhancement of soil ecosystem services.

Assessment of sowing dates and plant densities using CSM-CROPGRO-Soybean for soybean maturity groups in low latitude

2021 ◽  
pp. 1-14
Author(s):  
L. S. Sampaio ◽  
R. Battisti ◽  
M. A. Lana ◽  
K. J. Boote
Keyword(s):  
Management Practices ◽  
Field Experiments ◽  
Plant Density ◽  
Crop Model ◽  
Management Scenarios ◽  
Low Latitude ◽  
Area Index ◽  
Sowing Dates ◽  
Plant Densities ◽  
Maturity Groups

Abstract Crop models can be used to explain yield variations associated with management practices, environment and genotype. This study aimed to assess the effect of plant densities using CSM-CROPGRO-Soybean for low latitudes. The crop model was calibrated and evaluated using data from field experiments, including plant densities (10, 20, 30 and 40 plants per m2), maturity groups (MG 7.7 and 8.8) and sowing dates (calibration: 06 Jan., 19 Jan., 16 Feb. 2018; and evaluation: 19 Jan. 2019). The model simulated phenology with a bias lower than 2 days for calibration and 7 days for evaluation. Relative root mean square error for the maximum leaf area index varied from 12.2 to 31.3%; while that for grain yield varied between 3 and 32%. The calibrated model was used to simulate different management scenarios across six sites located in the low latitude, considering 33 growing seasons. Simulations showed a higher yield for 40 pl per m2, as expected, but with greater yield gain increments occurring at low plant density going from 10 to 20 pl per m2. In Santarém, Brazil, MG 8.8 sown on 21 Feb. had a median yield of 2658, 3197, 3442 and 3583 kg/ha, respectively, for 10, 20, 30 and 40 pl per m2, resulting in a relative increase of 20, 8 and 4% for each additional 10 pl per m2. Overall, the crop model had adequate performance, indicating a minimum recommended plant density of 20 pl per m2, while sowing dates and maturity groups showed different yield level and pattern across sites in function of the local climate.

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