Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed

Rodríguez, Héctor; Popp, Jennie; Maringanti, Chetan; Chaubey, Indrajeet

doi:10.1029/2009wr008549

Cited by 93 publications

(58 citation statements)

References 34 publications

(46 reference statements)

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“…Agroecosystem models have been developed for evaluating nutrient losses and C sequestration associated with various crop and soil management scenarios including adoption of conservation practices (Abrahamson et al 2009;Brown et al 2010;Duriancik et al 2008;Lee et al 2010;Rodriguez et al 2011;Stewart et al 2006). The Environmental Policy Integrated Climate (EPIC) model (Williams et al 1995), Century soil organic matter model (Parton et al 1994), and the Soil and Water Assessment Tool (SWAT; Arnold et al 1998) are among the tools widely used to predict water quality and C sequestration in agricultural systems.…”

mentioning

confidence: 99%

Multispectral satellite mapping of crop residue cover and tillage intensity in Iowa

Beeson¹,

Daughtry²,

Hunt³

et al. 2016

Journal of Soil and Water Conservation

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Soil tillage intensity can be characterized by the proportion of the soil surface covered by crop residue shortly after planting, with <15% residue cover classified as intensive or conventional tillage, 15% to 30% residue cover as reduced tillage, and >30% residue cover as conservation tillage (CTIC 2009). Accurate assessments of crop residue cover are important for evaluating effectiveness of conservation practices because of the numerous ecosystem services (e.g., decreased soil erosion, increased soil organic matter, improved soil and water quality, and reduced carbon dioxide [CO 2 ] emissions) that crop residues on the soil surface influence (Daughtry et al. 2012;Lal et al. 2004).Accurate estimates of crop residue cover are also important for modeling water qualAbstract: Quantifying crop residue cover is crucial for identifying tillage intensity and evaluating effectiveness of conservation management practices across large geographic areas. Current assessment protocols are labor intensive, time consuming, and costly. Our objective was to assess crop residue cover and soil tillage intensity in a watershed in central Iowa for three years (2009 to 2011) using multispectral satellite images. The watershed is dominated by corn (Zea mays L.) and soybean (Glycine max [L.] Merr.), which are grown on glacial-till derived soils across 85% of the land area. For each year, crop residue cover was measured for a few fields using the line-point transect method or visually estimating surface cover through roadside surveys. Conservation tillage fields had ≥30% residue cover, while more intensively tilled fields had <30% residue cover. Landsat Thematic Mapper (TM), Système Pour l'Observation de la Terre (SPOT) High Resolution Geometrical (HRG), Indian ResourceSat Advanced Wide Field Sensor (AWiFS), and Deimos satellite images were also acquired and analyzed to determine surface cover. SPOT and Landsat images provided similar classification accuracy ranging from 64% to 92%, while AWiFS and Deimos classifications had accuracies ranging from 61% to 73%. Clouds and the revisit interval for each satellite affected the timing of satellite images with respect to field operations, which also influenced classification accuracy. Overall soil tillage intensity varied little from year-to-year. Soil tillage intensity was also mapped as a function of slope, which could be useful for targeting additional conservation practices throughout the watershed. We conclude that satellite imagery is well suited for classifying crop residue cover. Furthermore, two recently launched satellites, Landsat-8 and Sentinel-2, have comparable multispectral sensors and together these satellites should provide frequent opportunities to acquire suitable imagery for assessing crop residue cover and soil tillage intensity over large geographic areas.Key words: conservation agriculture-conservation tillage-maize-remote sensing ity and carbon (C) dynamics within the soil-crop-atmosphere system. Agroecosystem models have been developed for evaluating nutrient losses ...

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mentioning

confidence: 99%

Multispectral satellite mapping of crop residue cover and tillage intensity in Iowa

Beeson¹,

Daughtry²,

Hunt³

et al. 2016

Journal of Soil and Water Conservation

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“…A wide variety of modeling approaches that range from relatively simple process-based models ) to more complex hydrological models and heuristic algorithms (Bekele and Nicklow 2005;Arabi et al 2006;Maringanti et al 2009;Pandey et al 2009;Rodriguez et al 2011) have been used to assess and prioritize the placement of BMPs within the agricultural landscape and to assess their effect on water quality. Depending on the approach, these models can be easy to apply or demand large amounts of data and resources.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing Watersheds for Conservation Actions in the Southeastern Coastal Plain Ecoregion

Jang

Vellidis

Kurkalova

et al. 2014

Environmental Management

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The aim of this study was to apply and evaluate a recently developed prioritization model which uses the synoptic approach to geographically prioritize watersheds in which Best Management Practices (BMPs) can be implemented to reduce water quality problems resulting from erosion and sedimentation. The model uses a benefit-cost framework to rank candidate watersheds within an ecoregion or river basin so that BMP implementation within the highest ranked watersheds will result in the most water quality improvement per conservation dollar invested. The model was developed to prioritize BMP implementation efforts in ecoregions containing watersheds associated with the USDA-NRCS Conservation Effects Assessment Project (CEAP). We applied the model to HUC-8 watersheds within the southeastern Coastal Plain ecoregion (USA) because not only is it an important agricultural area but also because it contains a well-studied medium-sized CEAP watershed which is thought to be representative of the ecoregion. The results showed that the three HUC-8 watersheds with the highest rankings (most water quality improvement expected per conservation dollar invested) were located in the southern Alabama, northern Florida, and eastern Virginia. Within these watersheds, measures of community attitudes toward conservation practices were highly ranked, and these indicators seemed to push the watersheds to the top of the rankings above other similar watersheds. The results, visualized as maps, can be used to screen and reduce the number of watersheds that need further assessment by managers and decision-makers within the study area. We anticipate that this model will allow agencies like USDA-NRCS to geographically prioritize BMP implementation efforts.

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“…Many optimization algorithms have been developed at different scales for cost effective placement of BMPs to reduce pollutant loadings in streams (e.g. Rodríguez et al, 2011;Maringanti et al, 2011). These complex optimization searches have shown significant advantages compared to conventional targeting and random placement techniques.…”

Section: Assessment Of Bmp Impacts With Multi-objectivesmentioning

confidence: 99%

A Review and Discussion on Modeling and Assessing Agricultural Best Management Practices under Global Climate Change

Liu

Yang

Qin

et al. 2016

JSD

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Understanding the impacts of global climate change on the spatiotemporal pattern of hydrologic cycle and water resources is of major importance in highly developed watersheds all over the world. These impacts are strongly dependent on related changes in intensity and frequency of extreme climate events. Implementation of Best Management Practices (BMPs) and policy approaches at watershed and regional scales is essential for mitigating their negative impacts on soil and water conservation, and sustainable economic development. However, the uncertainty of BMP effectiveness including increasing variability of future water supply and changing magnitudes of nonpoint source pollution has to be accounted for in watershed planning and management. This paper provides a review and discussion on the impacts of global climate change on BMP's hydrologic performance, the current progress on hydrologic assessment of BMPs, as well as the existing problems and countermeasures. Research challenges and opportunities in the field of hydrologic assessment of BMPs under global climate change are also discussed in this paper.

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Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed

Cited by 93 publications

References 34 publications

Multispectral satellite mapping of crop residue cover and tillage intensity in Iowa

Multispectral satellite mapping of crop residue cover and tillage intensity in Iowa

Prioritizing Watersheds for Conservation Actions in the Southeastern Coastal Plain Ecoregion

A Review and Discussion on Modeling and Assessing Agricultural Best Management Practices under Global Climate Change

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