Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology

Wieczorek, Michael E.; LaMotte, Andrew E.

doi:10.3133/dds49105

Cited by 13 publications

(23 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regional SPARROW models were developed for several “Major River Basins” (MRBs) in the U.S. (Preston et al ., ) using refined national geospatial datasets based on land‐use conditions and N and P inputs similar to 2002 (Maupin and Ivahnenko, ; Wieczorek and Lamotte, ) including inputs from wastewater treatment plants (WWTPs) and commercial and industrial facilities rather than using population as a surrogate for point sources as used by Alexander et al . (), and estimated long‐term average N and P loads detrended to 2002 from nearly 3,000 sites in the U.S. (Saad et al ., ).…”

Section: Introductionmentioning

confidence: 99%

Spatial Variability in Nutrient Transport by HUC8, State, and Subbasin Based on Mississippi/Atchafalaya River Basin SPARROW Models

Robertson

Saad

Schwarz

2014

J American Water Resour Assoc

View full text Add to dashboard Cite

Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. With geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and monitored loads throughout the MARB, SPAtially Referenced Regression On Watershed attributes (SPARROW) watershed models were constructed specifically for the MARB, which reduced simulation errors from previous models. Based on these models, N loads/yields were highest from the central part (centered over Iowa and Indiana) of the MARB (Corn Belt), and the highest P yields were scattered throughout the MARB. Spatial differences in yields from previous studies resulted from different descriptions of the dominant sources (N yields are highest with crop-oriented agriculture and P yields are highest with crop and animal agriculture and major WWTPs) and different descriptions of downstream transport. Delivered loads/yields from the MARB SPARROW models are used to rank subbasins, states, and eight-digit Hydrologic Unit Code basins (HUC8s) by N and P contributions and then rankings are compared with those from other studies. Changes in delivered yields result in an average absolute change of 1.3 (N) and 1.9 (P) places in state ranking and 41 (N) and 69 (P) places in HUC8 ranking from those made with previous national-scale SPARROW models. This information may help managers decide where efforts could have the largest effects (highest ranked areas) and thus reduce hypoxia in the Gulf of Mexico.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial Variability in Nutrient Transport by HUC8, State, and Subbasin Based on Mississippi/Atchafalaya River Basin SPARROW Models

Robertson

Saad

Schwarz

2014

J American Water Resour Assoc

View full text Add to dashboard Cite

show abstract

“…Recently, the USGS developed detailed regional‐scale SPARROW models for several major river basins (MRBs) in the United States (Preston et al, 2011) using national geospatial datasets based on land‐use conditions and N and P inputs similar to 2002 (Maupin and Ivahnenko, 2011; Wieczorek and Lamotte, 2011), and estimated long‐term average N and P loads detrended to 2002 (discussed later) from nearly 3000 sites (Saad et al, 2011). Parts of four MRBs are included in the MARB: Robertson and Saad (2011)—Upper Midwest, including the Upper and Middle Mississippi and Ohio River Basins; Brown et al (2011)—Missouri River Basin; Rebich et al (2011)—Lower Mississippi, Arkansas, and Red/Ouachita River Basins and Texas Gulf Basin; and Hoos and McMahon (2009) and García et al (2011)—southeastern United States, including the Tennessee River Basin.…”

mentioning

confidence: 99%

SPARROW Models Used to Understand Nutrient Sources in the Mississippi/Atchafalaya River Basin

Robertson

Saad

2013

J. Environ. Qual.

View full text Add to dashboard Cite

Nitrogen (N) and phosphorus (P) loading from the Mississippi/ Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and calibration sites throughout the MARB. Previous studies found that highest N and P yields were from the north-central part of the MARB (Corn Belt). Based on the MARB SPARROW models, highest N yields were still from the Corn Belt but centered over Iowa and Indiana, and highest P yields were widely distributed throughout the center of the MARB. Similar to that found in other studies, agricultural inputs were found to be the largest N and P sources throughout most of the MARB: farm fertilizers were the largest N source, whereas farm fertilizers, manure, and urban inputs were dominant P sources. The MARB models enable individual N and P sources to be defined at scales ranging from SPARROW catchments (~50 km 2 ) to the entire area of the MARB. Inputs of P from WWTPs and urban areas were more important than found in most other studies. Information from this study will help to reduce nutrient loading from the MARB by providing managers with a description of where each of the sources of N and P are most important, thus providing a basis for prioritizing management actions and ultimately reducing the extent of Gulf hypoxia. SPARROW Models Used to Understand Nutrient Sources in the Mississippi/Atchafalaya River BasinDale M. Robertson* and David A. Saad N utrients (primarily nitrogen, N, and phosphorus, P) directly input into streams or exported from agricultural and urban areas can lead to local problems, such as the overabundance of benthic algae, phytoplankton, and macrophytes, and downstream problems, such as eutrophication of lakes, estuaries, and bays. Excess N and P exported from local drainages located throughout the entire Mississippi/Atchafalaya River Basin (MARB) have been linked to hypoxia in the Gulf of Mexico (USEPA, 2000). The Gulf of Mexico hypoxic zone (the area with bottom water having dissolved oxygen concentrations <2 mg/L) is the second-largest human-caused zone of hypoxia in the world's coastal waters (Scavia and Evans, 2012). Hypoxia in the Gulf was originally thought to be driven by excessive N loading (primarily nitrate); however, recent studies found that P limitation is also occurring in near-shore regions because the excessive N loading has dramatically altered N:P ratios (USEPA, 2007). The Mississippi River/Gulf of Mexico Watershed Nutrient Task Force (2008) established the goal of reducing the 5-yr moving average areal extent of the Gulf of Mexico hypoxic zone to <5000 km 2 . To achieve that goal, the USEPA Science Advisory Board found that a dual strategy is needed that achieves at least a 45% reduction in both N and P loading from the MARB from the average annual 1980-1996 fluxes (USEPA, 20...

show abstract

“…We compared the landscape inputs within a subset of the SENSEmap sources to those from the USGS SPARROW model (Robertson & Saad, ; Wieczorek & Lamotte, ). Note that these products are not equivalent: SENSEmap calculates discrete nutrient inputs in kg/ha/year, whereas USGS SPARROW uses both LULC area and nutrient masses to statistically compute source‐specific fluxes.…”

Section: Resultsmentioning

confidence: 99%

“…SPARROW provides a nutrient inputs database, in some ways comparable to the SENSEmap product here, along with regressions of nutrient uptake within watersheds. We compared chemical agricultural fertilizer, chemical nonagricultural fertilizer, and total manure to SPARROW inputs from Robertson and Saad's () SPARROW model including the GLB using data processed by Wieczorek and Lamotte (). We summarized these sources from SENSEmap at the HUC8 level to be consistent with SPARROW output summaries.…”

Section: Methodsmentioning

confidence: 99%

Quantifying Landscape Nutrient Inputs With Spatially Explicit Nutrient Source Estimate Maps

et al. 2020

View full text Add to dashboard Cite

Nutrient management is an essential part of watershed planning worldwide to protect water resources from both widespread landscape inputs of nutrients (N and P) and point source emissions. To provide information to regional watershed planners and better understand nutrient sources, we developed the Spatially Explicit Nutrient Source Estimate Map (SENSEmap) to quantify individual sources of N and P at their entry points in the landscape. We modeled seven sources of N and six sources of P across the U.S. Great Lakes Basin at 30‐m resolution: atmospheric deposition, septic systems, chemical nonagricultural fertilizer, chemical agricultural fertilizer, manure, nitrogen fixation, and point sources. By modeling these sources, we provide a more detailed view of nutrient inputs to the landscape beyond what would be possible from land use alone. We found that 71% and 88% of N and P, respectively, came from agricultural sources. The nature of agricultural nutrient inputs varied significantly across the basin, as relative contributions of chemical agricultural fertilizers, manure, and N fixation changed according to diverse land use practices regionally. We then applied k‐means cluster analysis and identified nine Nutrient Input Landscapes (NILs) with N and P source characteristics, grouped into intensive agricultural, urban, and rural landscapes. These NILs can offer insights into landscape variability that land use data alone cannot; within agricultural NILs, application of chemical fertilizer and manure varied greatly, but land uses were similar. These NILs can provide a framework for broadly categorizing watersheds that may prove useful to both ecological and management practices.

show abstract

Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology

Cited by 13 publications

References 0 publications

Spatial Variability in Nutrient Transport by HUC8, State, and Subbasin Based on Mississippi/Atchafalaya River Basin SPARROW Models

Spatial Variability in Nutrient Transport by HUC8, State, and Subbasin Based on Mississippi/Atchafalaya River Basin SPARROW Models

SPARROW Models Used to Understand Nutrient Sources in the Mississippi/Atchafalaya River Basin

Quantifying Landscape Nutrient Inputs With Spatially Explicit Nutrient Source Estimate Maps

Contact Info

Product

Resources

About