Detecting the effects of land use/land cover on mean annual streamflow in the Upper Mississippi River Basin, USA

Tran, Liem; O’Neill, Robert V.

doi:10.1016/j.jhydrol.2013.06.041

Cited by 21 publications

(9 citation statements)

References 33 publications

(40 reference statements)

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“…The average streamflow at the outlet station (#05587450) of UMRB for the period assessed in this study (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) slightly increased from 3800.2 m 3 /s to 4041.3 m 3 /s. This is consistent with several studies that have shown an increasing trend in the annual streamflow in the UMRB since the 1940s [14,15,40,41]. However, freshwater provisioning is not necessarily improved with the increased streamflow.…”

Section: Discussionsupporting

confidence: 91%

Evaluation of Freshwater Provisioning for Different Ecosystem Services in the Upper Mississippi River Basin: Current Status and Drivers

Ping

Chaubey

Muenich

et al. 2016

Water

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With the high demand for freshwater and its vital role in sustaining multiple ecosystem services, it is important to quantify and evaluate freshwater provisioning for various services (e.g., drinking, fisheries, recreation). Research on ecosystem services has increased recently, though relatively fewer studies apply a data driven approach to quantify freshwater provisioning for different ecosystem services. In this study, freshwater provisioning was quantified annually from 1995 to 2013 for 13 watersheds in the Upper Mississippi River Basin (UMRB). Results showed that the annual freshwater provision indices for all watersheds were less than one indicating that freshwater provisioning is diminished in the UMRB. The concentrations of sediment and nutrients (total nitrogen, and total phosphorus) are the most sensitive factors that impact freshwater provisioning in the UMRB. A significant linear relationship was observed between precipitation and freshwater provisioning index. During wet periods freshwater provisioning generally decreased in the study watersheds, primarily because of relatively high concentrations and loads of sediment and nutrients delivered from nonpoint sources. Results from this study may provide an insight, as well as an example of a data-driven approach to enhance freshwater provisioning for different ecosystem services and to develop a sustainable and integrated watershed management approach for the UMRB.

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Section: Discussionsupporting

confidence: 91%

Evaluation of Freshwater Provisioning for Different Ecosystem Services in the Upper Mississippi River Basin: Current Status and Drivers

Ping

Chaubey

Muenich

et al. 2016

Water

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“…In the Upper Mississippi River Basin, LULC has a clear signature on streamflow [77]. Previous work attempting to disentangle the effects of climate change, cropland expansion and artificial field drainage (using a hydrologic model) showed that increased precipitation and reduced evaporative demand were a stronger driver of increasing flow than the LULC changes [13].…”

Section: Agriculturementioning

confidence: 99%

“…This prevalence of x a in the best-fitting models for low flows suggests that shifts in the fraction of cultivated agricultural land do have a notable influence on low flows. Overall, it is likely that the influence of agriculture on streamflow distributions will also depend on the type of crop and complex interactions among different LULCs [77] and climate.…”

Section: Agriculturementioning

confidence: 99%

Evaluating the Drivers of Seasonal Streamflow in the U.S. Midwest

Slater

Villarini

2017

Water

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Streamflows have increased notably across the U.S. Midwest over the past century, fueling a debate on the relative influences of changes in precipitation and land cover on the flow distribution. Here, we propose a simple modeling framework to evaluate the main drivers of streamflow rates. Streamflow records from 290 long-term USGS stream gauges were modeled using five predictors: precipitation, antecedent wetness, temperature, agriculture, and population density. We evaluated which predictor combinations performed best for every site, season and streamflow quantile. The goodness-of-fit of our models is generally high and varies by season (higher in the spring and summer than in the fall and winter), by streamflow quantile (best for high flows in the spring and winter, best for low flows in the fall, and good for all flow quantiles in summer), and by region (better in the southeastern Midwest than in the northwestern Midwest). In terms of predictors, we find that precipitation variability is key for modeling high flows, while antecedent wetness is a crucial secondary driver for low and median flows. Temperature improves model fits considerably in areas and seasons with notable snowmelt or evapotranspiration. Finally, in agricultural and urban basins, harvested acreage and population density are important predictors of changing streamflow, and their influence varies seasonally. Thus, any projected changes in these drivers are likely to have notable effects on future streamflow distributions, with potential implications for basin water management, agriculture, and flood risk management.

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“…Ryberg et al (2013) and Frans et al (2013) also indicated that climate change is the major factor in explaining streamflow changes over the U.S. Midwest. However, streamflow changes are also the result of diverse other factors, such as temperature, and basin attributes (Tran and O'Neill, 2013;Gosling, 2014). In addition, impacts of human activities on streamflow changes have focused attention on population growth and increasing human activities, such as irrigation, dam/reservoir construction, land use and land cover changes (Barnet et al, 2008;Zhan et al, 2013;Ahn and Merwade, 2014).…”

Section: Introductionmentioning

confidence: 99%

Hydrological effects of cropland and climatic changes in arid and semi-arid river basins: A case study from the Yellow River basin, China

Zhang

Singh

et al. 2017

Journal of Hydrology

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The Yellow River basin is a typical semi-arid river basin in northern China. Serious water shortages have negative impacts on regional socioeconomic development. Recent years have witnessed changes in streamflow processes due to increasing human activities, such as agricultural activities and construction of dams and water reservoirs, and climatic changes, e.g. precipitation and temperature. This study attempts to investigate factors potentially driving changes in different streamflow components defined by different quantiles. The data used were daily provides a theoretical framework for the study of the hydrological effects of human activities and climatic changes on basins over the globe.

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Detecting the effects of land use/land cover on mean annual streamflow in the Upper Mississippi River Basin, USA

Cited by 21 publications

References 33 publications

Evaluation of Freshwater Provisioning for Different Ecosystem Services in the Upper Mississippi River Basin: Current Status and Drivers

Evaluation of Freshwater Provisioning for Different Ecosystem Services in the Upper Mississippi River Basin: Current Status and Drivers

Evaluating the Drivers of Seasonal Streamflow in the U.S. Midwest

Hydrological effects of cropland and climatic changes in arid and semi-arid river basins: A case study from the Yellow River basin, China

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