Assessing the impacts of crop-rotation and tillage on crop yields and sediment yield using a modeling approach

Parajuli, Prem B.; Jayakody, Priyantha; Sassenrath, Gretchen F.; Ouyang, Ying; Pote, Jonathan W.

doi:10.1016/j.agwat.2012.12.010

Cited by 58 publications

(30 citation statements)

References 45 publications

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“…Author-produced version of the article published in Surveys in Geophysics, 2016, 37, 2, 223-247 The original publication is available at http://link.springer.com/article/10.1007/s10712-016-9366-2 Doi: 10.1007/s10712-016-9366-2 to forest, Donohu et al 2007;Qiu et al 2011;Murgue et al 2015) or more diffuse variations (e.g., crop rotation, Parajuli et al 2013). …”

Section: Introductionmentioning

confidence: 99%

On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

et al. 2016

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Section: Introductionmentioning

confidence: 99%

On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

et al. 2016

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“…Previous studies have largely focused on assessment of BMP performance in reducing nutrient and sediment loss and the subsequent impacts on water quality (Parajuli et al 2013;Weissteiner et al 2013;Kladivko et al 2014;Yeo et al 2014;McLellan et al 2015;King et al 2016;Merriman et al 2018) (see also study reviews in Hashemi et al 2016;Liu et al 2017). Previous studies have largely focused on assessment of BMP performance in reducing nutrient and sediment loss and the subsequent impacts on water quality (Parajuli et al 2013;Weissteiner et al 2013;Kladivko et al 2014;Yeo et al 2014;McLellan et al 2015;King et al 2016;Merriman et al 2018) (see also study reviews in Hashemi et al 2016;Liu et al 2017).…”

Section: Agricultural Practices and Flood Impactsmentioning

confidence: 99%

“…Assessing benefits of agricultural BMPs is challenging due to the multiple impacts on hydrology, nutrient cycling, soil fertility, and other processes. Previous studies have largely focused on assessment of BMP performance in reducing nutrient and sediment loss and the subsequent impacts on water quality (Parajuli et al 2013;Weissteiner et al 2013;Kladivko et al 2014;Yeo et al 2014;McLellan et al 2015;King et al 2016;Merriman et al 2018) (see also study reviews in Hashemi et al 2016;Liu et al 2017). BMPs that slow runoff are effective in reducing sediment detachment and transport (Bosch et al 2013;Mitchell et al 2018), although effectiveness can vary depending on watersheds characteristics, BMPs location, and storm magnitude.…”

Section: Agricultural Practices and Flood Impactsmentioning

confidence: 99%

Flood Risk Reduction from Agricultural Best Management Practices

Antolini

Tate

Dalzell

et al. 2019

J American Water Resour Assoc

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Research Impact Statement: Agricultural best management practices (BMPs) can reduce flood risk, providing a co-benefit to nutrient reduction.ABSTRACT: Best management practices (BMPs) play an important role in improving impaired water quality from conventional row crop agriculture. In addition to reducing nutrient and sediment loads, BMPs such as fertilizer management, reduced tillage, and cover crops could alter the hydrology of agricultural systems and reduce surface water runoff. While attention is devoted to the water quality benefits of BMPs, the potential cobenefits of flood loss reduction are often overlooked. This study quantifies the effects of selected commonly applied BMPs on expected flood loss to agricultural and urban areas in four Iowa watersheds. The analysis combines a watershed hydrologic model, hydraulic model outputs, and a loss estimation model to determine relationships between hydrologic changes from BMP implementations and annual economic flood loss. The results indicate a modest reduction in peak discharge and economic loss, although loss reduction is substantial when urban centers or other high-value assets are located downstream in the watershed. Among the BMPs, wetlands, and cover crops reduce losses the most. The research demonstrates that watershed-scale implementation of agricultural BMPs could provide benefits of flood loss reduction in addition to water quality improvements.(

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“…The model outputs consists of hydrological results, sediment yields and crop yields which are available in daily, monthly, and annual summaries. SWAT is widely used from small watershed sites to large river basins in order to assess land use impacts on stream flow, sediment, non-point source pollutants, and crop yield estimations (Parajuli et al, 2013;Reungsang et al, 2010;Oeurng et al, 2011).…”

Section: Application Of Swat Modelmentioning

confidence: 99%

Reevaluating FMOLP Decision Variable Coefficients Using the SWAT Results for the Optimization of Sustainable Agricultural Land Use in Small Watershed

Mahaarcha¹,

Tangtham²

2013

MAS

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The inappropriate use of agricultural land has caused several environmental and socio-economic problems. Fuzzy multiple objectives linear programming (FMOLP) is a mathematical technique that can be effective in land use planning. It requires decision variable coefficients (DVCs) to formulate the problem model covering all environmental and socio-economic aspects. The solution from a formulated FMOLP model provides optimal land use proportion and then the proportion is relocated t o produce the land use planning map. The map is then transferred to the soil and water assessment tools (SWAT) for assessing the impacts. The SWAT results give out a value which differs from the initial DVCs in the comparable aspects. This difference indicates that the initial DVCs were not realistic for the selected watershed and the land use planning map were not optimal.This study attempts to reevaluate DVCs in the FMOLP model by designing a method of sustainable agricultural land-use planning which makes use of the outputted results from the SWAT model. The results in terms of soil loss, crop water consumption, crop yields and net profit are simulated by SWAT and then replace to the DVC's value. This procedure will be repeated until a small difference between SWAT results and DVC's values are obtained. The findings of this study show that the final land use map achieves a higher target value than the map that was constructed after the initial phase of testing in all of objective. It is hoped the outcomes of this loop back process can be linked to the optimizing technique, so that environmental models can be utilized in the model output to improve optimum proportional solutions in any decision support system (DSS) for future sustainable agricultural land use planning.

show abstract

Assessing the impacts of crop-rotation and tillage on crop yields and sediment yield using a modeling approach

Cited by 58 publications

References 45 publications

On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

Flood Risk Reduction from Agricultural Best Management Practices

Reevaluating FMOLP Decision Variable Coefficients Using the SWAT Results for the Optimization of Sustainable Agricultural Land Use in Small Watershed

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