Literature DB >> 21830710

Effects of riparian buffers on nitrate concentrations in watershed discharges: new models and management implications.

Donald E Weller1, Matthew E Baker, Thomas E Jordan.   

Abstract

Watershed analyses of nutrient removal in riparian buffers have been limited by the geographic methods used to map buffers and by the statistical models used to test and quantify buffer effects on stream nutrient levels. We combined geographic methods that account for buffer prevalence along flow paths connecting croplands to streams with improved statistical models to test for buffer effects on stream nitrate concentrations from 321 tributary watersheds to the Chesapeake Bay, USA. We developed statistical models that predict stream nitrate concentration from watershed land cover and physiographic province. We used information theoretic methods (AIC(c)) to compare models with and without buffer terms, and we demonstrate that models accounting for riparian buffers better explain stream nitrate concentrations than models using only land cover proportions. We analyzed the buffer model parameters to quantify differences within and among physiographic provinces in the potentials for nitrate loss from croplands and nitrate removal in buffers. On average, buffers in Coastal Plain study watersheds had a higher relative nitrate removal potential (95% of the inputs from cropland) than Piedmont buffers (35% of inputs). Buffers in Appalachian Mountain study watersheds were intermediate (retaining 39% of cropland inputs), but that percentage was uncertain. The absolute potential to reduce nitrate concentration was highest in the Piedmont study watersheds because of higher nitrate inputs from cropland. Model predictions for the study watersheds provided estimates of nitrate removals achieved with the existing cropland and buffer distributions. Compared to expected nitrate concentrations if buffers were removed, current buffers reduced average nitrate concentrations by 0.73 mg N/L (50% of their inputs from cropland) in the Coastal Plain study watersheds, 0.40 mg N/L (11%) in the Piedmont, and 0.08 mg N/L (5%) in the Appalachian Mountains. Restoration to close all buffer gaps downhill from croplands would further reduce nitrate concentrations by 0.66 mg N/L, 0.83 mg N/L, and 0.51 mg N/L, respectively, in the Coastal Plain, Piedmont, and Appalachian Mountain study watersheds. Aggregate nitrate removal by riparian buffers was less than suggested by many studies of field-to-stream transects, but buffer nitrate removal is significant, and restoration could achieve substantial additional removal.

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Year:  2011        PMID: 21830710     DOI: 10.1890/10-0789.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  7 in total

1.  Spatial interactions among ecosystem services in an urbanizing agricultural watershed.

Authors:  Jiangxiao Qiu; Monica G Turner
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

2.  Identifying riparian buffer effects on stream nitrogen in southeastern coastal plain watersheds.

Authors:  Jay R Christensen; Maliha S Nash; Anne Neale
Journal:  Environ Manage       Date:  2013-08-29       Impact factor: 3.266

3.  Nitrogen inputs drive nitrogen concentrations in U.S. streams and rivers during summer low flow conditions.

Authors:  R A Bellmore; J E Compton; J R Brooks; E W Fox; R A Hill; D J Sobota; D J Thornbrugh; M H Weber
Journal:  Sci Total Environ       Date:  2018-05-26       Impact factor: 7.963

4.  Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States.

Authors:  J S Iiames; W B Salls; M H Mehaffey; M S Nash; J R Christensen; B A Schaeffer
Journal:  Water Resour Res       Date:  2021-10-19       Impact factor: 6.159

5.  Sensitivity of Riparian Buffer Designs to Climate Change-Nutrient and Sediment Loading to Streams: A Case Study in the Albemarle-Pamlico River Basins (USA) Using HAWQS.

Authors:  Santosh R Ghimire; Joel Corona; Rajbir Parmar; Gouri Mahadwar; Raghavan Srinivasan; Katie Mendoza; John M Johnston
Journal:  Sustainability       Date:  2021-11-09       Impact factor: 3.251

6.  Potential stream density in Mid-Atlantic US watersheds.

Authors:  Andrew J Elmore; Jason P Julian; Steven M Guinn; Matthew C Fitzpatrick
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240

7.  Fatty acid composition at the base of aquatic food webs is influenced by habitat type and watershed land use.

Authors:  James H Larson; William B Richardson; Brent C Knights; Lynn A Bartsch; Michelle R Bartsch; John C Nelson; Jason A Veldboom; Jon M Vallazza
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

  7 in total

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