Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model

Merriman, Katherine R.; Daggupati, Prasad; Srinivasan, Raghavan; Hayhurst, Brett A.

doi:10.1016/j.jglr.2019.02.004

Cited by 38 publications

(19 citation statements)

References 42 publications

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“…SWAT is one of the widely implemented hydrological models to evaluate effectiveness of BMPs in relation to sediment load/yield and agricultural non-point source pollutants reduction in many areas of the world. For example, the model was extensively applied in North America such as in Lake Erie watersheds (Bosch et al 2013), Pleasant Valley watershed (Lamba et al 2016) and Upper East River watershed (Merriman et al 2019). SWAT was also widely implemented to evaluate efficiency of several BMPs in Asia such as Marol watershed, India (Himanshu et al 2019) and Chungju dam watershed, South Korea (Park et al 2014) and Europe such as in El Beal watershed, Spain (López-Ballesteros et al 2019) and Kielstau catchment, Germany (Lam et al 2011).…”

Section: Bmps Scenariosmentioning

confidence: 99%

Evaluating the Effectiveness of Best Management Practices On Soil Erosion Reduction Using the SWAT Model: for the Case of Gumara Watershed, Abbay (Upper Blue Nile) Basin

Gashaw

Dile

Worqlul³

et al. 2021

Environmental Management

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This study was conducted to evaluate the effectiveness of best management practices (BMPs) to reduce soil erosion in Gumara watershed of the Abbay (Upper Blue Nile) Basin using the Soil and Water Assessment Tool (SWAT) model. The model was calibrated (1995-2002) and validated (2003-2007) using the SWAT-CUP based on observed streamflow and sediment yield data at the watershed outlet. The study evaluated four individual BMP Scenarios; namely, filter strips (FS), stone/soil bunds (SSB), grassed waterways (GW) and reforestation of croplands (RC), and three blended BMP Scenarios, which combines individual BMPS of FS and RC (FS & RC), GW and RC (GW & RC), and SSB and GW (SSB & GW). Mean annual sediment yield at the baseline conditions was estimated at 19.7 t ha −1 yr −1 , which was reduced by 13.7, 30.5, 16.2 and 25.9% in the FS, SSB, GW, and RC Scenarios, respectively at the watershed scale. The highest reduction efficiency of 34% was achieved through the implementations of the SSB & GW Scenario. The GW & RC, and FS & RC Scenarios reduced the baseline sediment yield by 32% and 29.9%, respectively. The study therefore concluded that the combined Scenarios mainly SSB & GW, and GW & RC can be applied to reduce the high soil erosion in the Gumera watershed, and similar agro-ecological watersheds in Ethiopia. In cases where applying the combined scenarios is not possible, the SSB Scenario can yield significant soil erosion reduction.

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Section: Bmps Scenariosmentioning

confidence: 99%

Evaluating the Effectiveness of Best Management Practices On Soil Erosion Reduction Using the SWAT Model: for the Case of Gumara Watershed, Abbay (Upper Blue Nile) Basin

Gashaw

Dile

Worqlul³

et al. 2021

Environmental Management

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“…(2018) described Right Practice, Right Place (RPRP) Toolbox which includes a set of online conservation planning tools can link “right conservation practice” to “right place” at regional, watershed, and field scale, that will help in increasing the efficiency and effectiveness of water quality improvement efforts. Merriman, Daggupati, Srinivasan, and Hayhurst (2019) used Water Assessment Tool (SWAT) model to evaluate the effectiveness of use of multiple agricultural Best Management Practices (BMPs) either as single BMP or combination of BMPs on nutrient losses from an agricultural field. Although these decision support tools are evaluated for determining BMPs for water quality improvement, they have not yet tested for assessing effectiveness of BMPs for mitigating waterlogging stress in different soil and environmental conditions.…”

Section: Potential Management Practices For Reduction Of Crop Productmentioning

confidence: 99%

Impacts and management strategies for crop production in waterlogged or flooded soils: A review

et al. 2020

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Globally, flooding is one of the most damaging abiotic stresses, besides drought, that affects 17 million km 2 of land surface annually. Recent research indicates that climate change is resulting in more extreme weather events, such as flooding or soil waterlogging, that negatively affect crop production. Therefore, it is imperative to understand how flooding stress affects crops and to develop improved production practices that make cropping systems more resilient and able to cope with extreme weather events. This review paper summarizes the current state of knowledge on the impacts of flooding or soil waterlogging on crop production losses, nitrogen (N) losses, and provides potential management strategies to reduce these losses. The factors affecting the extent of flooding injury in plants as well as plant adaptations under waterlogging stress are also discussed briefly. For the purpose of this review, "flooding" refers to the situation when all or part of the plant is submerged under water, whereas "soil waterlogging" refers to the situation where soil pores are saturated with water. Soil waterlogging also promotes soil N losses through runoff, leaching, and denitrification. Potential management practices that can be used to mitigate soil waterlogging stress include the use of flood-tolerant varieties, adjusting management practices, improving drainage, and practicing adaptive nutrient management strategies. However, these might be site-or crop-specific management practices and they should be validated for their economic viability before developing future management plans that promote sustainable crop yields from waterlogged soils.Abbreviations: BMP, Best Management Practice; CDSI, controlled drainage and subirrigation; EEF, enhanced efficiency fertilizer; ET, evapotranspiration; Fv/Fm, ratio of variable fluorescence to material fluorescence; GIS, Geographic Information System; NBPT, N-(n-butyl) thiophosphoric triamide; NI, nitrification inhibitor; NUE, nitrogen use efficiency; PCU, polymer-coated urea; UI, urease inhibitors.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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“…Bosch et al (2013) found that cover crops, filter strips, and minimal tillage practices were the most effective measures to mitigate nutrient runoff and sediment yield in Lake Erie's watersheds. Merriman et al (2019) concluded that establishing permanent brome grass reduced sediment yields in the Great Lake region's watersheds. Gharibdousti, Kharel, and Stoecker (2019) found that converting cropland to perennial grasses in the FCW could reduce sediment yield by more than 70%.…”

Section: Previous Researchmentioning

confidence: 99%

Public Willingness to Pay for Farmer Adoption of Best Management Practices

Lambert

Ripberger

2022

J. Agric. Appl. Econ.

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This paper analyzes public willingness to support farmer adoption of best management practices in Oklahoma’s Fort Cobb Watershed, a multiuse area for agriculture, residential water provision, and recreation. The study uses Oklahoma’s Meso-Scale Integrated Sociogeographic Network survey to conduct a contingent valuation analysis of a hypothetical, one-time tax that would support farmer adoption of pasture and riparian buffer management practices. Respondent heterogeneity is modeled using beta-binomial regression. Public support for the hypothetical program is stronger for the tandem implementation of riparian buffer establishment and pasture expansion (willingness to pay [WTP] = $290) and riparian buffer establishment (WTP = $317).

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Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model

Cited by 38 publications

References 42 publications

Evaluating the Effectiveness of Best Management Practices On Soil Erosion Reduction Using the SWAT Model: for the Case of Gumara Watershed, Abbay (Upper Blue Nile) Basin

Evaluating the Effectiveness of Best Management Practices On Soil Erosion Reduction Using the SWAT Model: for the Case of Gumara Watershed, Abbay (Upper Blue Nile) Basin

Impacts and management strategies for crop production in waterlogged or flooded soils: A review

Public Willingness to Pay for Farmer Adoption of Best Management Practices

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