Literature DB >> 34826484

δ15N of Chironomidae: An index of nitrogen sources and processing within watersheds for national aquatic monitoring programs.

J Renée Brooks1, Jana E Compton2, Jiajia Lin3, Alan Herlihy4, Amanda M Nahlik2, William Rugh2, Marc Weber2.   

Abstract

Nitrogen (N) removal along flowpaths to aquatic ecosystems is an important regulating ecosystem service that can help reduce N pollution in the nation's waterways, but can be challenging to measure at large spatial scales. Measurements that integrate N processing within watersheds would be particularly useful for assessing the magnitude of this vital service. Because most N removal processes cause isotopic fractionation, δ15N from basal food-chain organisms in aquatic ecosystems can provide information on both N sources and the degree of watershed N processing. As part of EPA's National Aquatic Resource Surveys (NARS), we measured δ15N of Chironomidae collected from over 2000 lakes, rivers and streams across the continental USA. Using information on N inputs to watersheds and summer total N concentrations ([TN]) in the water column, we assessed where elevated chironomid δ15N would indicate N removal rather than possible enriched sources of N. Chironomid δ15N values ranged from -4 to +20‰, and were higher in rivers and streams than in lakes, indicating that N in rivers and streams underwent more processing and cycling that preferentially removes 14N than N in lakes. Chironomid δ15N increased with watershed size, N inputs, and water chemical components, and decreased as precipitation increased. In rivers and streams with high watershed N inputs, we found lower [TN] in streams with higher chironomid δ15N values, suggesting high rates of gaseous N loss such as denitrification. At low watershed N inputs, the pattern reversed; streams with elevated chironomid δ15N had higher [TN] than streams with lower chironomid δ15N, possibly indicating unknown sources elevated in δ15N such as legacy N, or waste from animals or humans. Chironomid δ15N values can be a valuable tool to assess integrated watershed-level N sources, input rates, and processing for water quality monitoring and assessment at large scales. Published by Elsevier B.V.

Entities:  

Keywords:  Lakes; National Aquatic Resource Survey (NARS); Nitrogen isotopes; Nitrogen processing; Rivers and streams; Water quality

Mesh:

Substances:

Year:  2021        PMID: 34826484      PMCID: PMC8865614          DOI: 10.1016/j.scitotenv.2021.151867

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  28 in total

1.  Eutrophication of U.S. freshwaters: analysis of potential economic damages.

Authors:  Walter K Dodds; Wes W Bouska; Jeffrey L Eitzmann; Tyler J Pilger; Kristen L Pitts; Alyssa J Riley; Joshua T Schloesser; Darren J Thornbrugh
Journal:  Environ Sci Technol       Date:  2009-01-01       Impact factor: 9.028

2.  Foliar 15N natural abundance in Hawaiian rainforest: patterns and possible mechanisms.

Authors:  Peter M Vitousek; Georgia Shearer; Daniel H Kohl
Journal:  Oecologia       Date:  1989-03       Impact factor: 3.225

3.  Human influences on nitrogen removal in lakes.

Authors:  Jacques C Finlay; Gaston E Small; Robert W Sterner
Journal:  Science       Date:  2013-10-11       Impact factor: 47.728

4.  The importance of lake-specific characteristics for water quality across the continental United States.

Authors:  Emily K Read; Vijay P Patil; Samantha K Oliver; Amy L Hetherington; Jennifer A Brentrup; Jacob A Zwart; Kirsten M Winters; Jessica R Corman; Emily R Nodine; R Iestyn Woolway; Hilary A Dugan; Aline Jaimes; Arianto B Santoso; Grace S Hong; Luke A Winslow; Paul C Hanson; Kathleen C Weathers
Journal:  Ecol Appl       Date:  2015-06       Impact factor: 4.657

5.  Coupling stable isotopes and water chemistry to assess the role of hydrological and biogeochemical processes on riverine nitrogen sources.

Authors:  Minpeng Hu; Yanmei Liu; Yufu Zhang; Randy A Dahlgren; Dingjiang Chen
Journal:  Water Res       Date:  2018-12-06       Impact factor: 11.236

6.  Imprint of denitrifying bacteria on the global terrestrial biosphere.

Authors:  Benjamin Z Houlton; Edith Bai
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-07       Impact factor: 11.205

7.  delta(15)N as an integrator of the nitrogen cycle.

Authors:  D Robinson
Journal:  Trends Ecol Evol       Date:  2001-03-01       Impact factor: 17.712

8.  Meta-analysis of nitrogen removal in riparian buffers.

Authors:  Paul M Mayer; Steven K Reynolds; Marshall D McCutchen; Timothy J Canfield
Journal:  J Environ Qual       Date:  2007-06-27       Impact factor: 2.751

9.  Assessing the relative and attributable risk of stressors to wetland condition across the conterminous United States.

Authors:  Alan T Herlihy; Steven G Paulsen; Mary E Kentula; Teresa K Magee; Amanda M Nahlik; Gregg A Lomnicky
Journal:  Environ Monit Assess       Date:  2019-06-20       Impact factor: 2.513

10.  Context is Everything: Interacting Inputs and Landscape Characteristics Control Stream Nitrogen.

Authors:  Jana E Compton; Ryan A Hill; Alan T Herlihy; Robert D Sabo; J Renée Brooks; Marc Weber; Brian Pickard; Steve G Paulsen; John L Stoddard
Journal:  Environ Sci Technol       Date:  2021-06-01       Impact factor: 11.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.