Literature DB >> 26390994

Human activities cause distinct dissolved organic matter composition across freshwater ecosystems.

Clayton J Williams1, Paul C Frost1, Ana M Morales-Williams2, James H Larson3, William B Richardson3, Aisha S Chiandet4, Marguerite A Xenopoulos1.   

Abstract

Dissolved organic matter (DOM) composition in freshwater ecosystems is influenced by the interactions among physical, chemical, and biological processes that are controlled, at one level, by watershed landscape, hydrology, and their connections. Against this environmental template, humans may strongly influence DOM composition. Yet, we lack a comprehensive understanding of DOM composition variation across freshwater ecosystems differentially affected by human activity. Using optical properties, we described DOM variation across five ecosystem groups of the Laurentian Great Lakes region: large lakes, Kawartha Lakes, Experimental Lakes Area, urban stormwater ponds, and rivers (n = 184 sites). We determined how between ecosystem variation in DOM composition related to watershed size, land use and cover, water quality measures (conductivity, dissolved organic carbon (DOC), nutrient concentration, chlorophyll a), and human population density. The five freshwater ecosystem groups had distinctive DOM composition from each other. These significant differences were not explained completely through differences in watershed size nor spatial autocorrelation. Instead, multivariate partial least squares regression showed that DOM composition was related to differences in human impact across freshwater ecosystems. In particular, urban/developed watersheds with higher human population densities had a unique DOM composition with a clear anthropogenic influence that was distinct from DOM composition in natural land cover and/or agricultural watersheds. This nonagricultural, human developed impact on aquatic DOM was most evident through increased levels of a microbial, humic-like parallel factor analysis component (C6). Lotic and lentic ecosystems with low human population densities had DOM compositions more typical of clear water to humic-rich freshwater ecosystems but C6 was only present at trace to background levels. Consequently, humans are strongly altering the quality of DOM in waters nearby or flowing through highly populated areas, which may alter carbon cycles in anthropogenically disturbed ecosystems at broad scales.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  UV-visible absorbance; anthropogenic; carbon cycling; cultural eutrophication; fluorescence spectroscopy; land use; parallel factor analysis modeling; urban

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Year:  2015        PMID: 26390994     DOI: 10.1111/gcb.13094

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  9 in total

1.  Watershed 'Chemical Cocktails': Forming Novel Elemental Combinations in Anthropocene Fresh Waters.

Authors:  Sujay S Kaushal; Arthur J Gold; Susana Bernal; Tammy A Newcomer Johnson; Kelly Addy; Amy Burgin; Douglas A Burns; Ashley A Coble; Eran Hood; Yuehan Lu; Paul Mayer; Elizabeth C Minor; Andrew W Schroth; Philippe Vidon; Henry Wilson; Marguerite A Xenopoulos; Thomas Doody; Joseph Galella; Phillip Goodling; Katherine Haviland; Shahan Haq; Barret Wessel; Kelsey Wood; Norbert Jaworski; Kenneth T Belt
Journal:  Biogeochemistry       Date:  2018       Impact factor: 4.825

2.  Making 'Chemical Cocktails' - Evolution of Urban Geochemical Processes across the Periodic Table of Elements.

Authors:  Sujay S Kaushal; Kelsey L Wood; Joseph G Galella; Austin M Gion; Shahan Haq; Phillip J Goodling; Katherine A Haviland; Jenna E Reimer; Carol J Morel; Barret Wessel; William Nguyen; John W Hollingsworth; Kevin Mei; Julian Leal; Jacob Widmer; Rahat Sharif; Paul M Mayer; Tamara A Newcomer Johnson; Katie Delaney Newcomb; Evan Smith; Kenneth T Belt
Journal:  Appl Geochem       Date:  2020-08-01       Impact factor: 3.524

3.  Urban infrastructure influences dissolved organic matter quality and bacterial metabolism in an urban stream network.

Authors:  Clay P Arango; Jake J Beaulieu; Ken M Fritz; Brian H Hill; Colleen M Elonen; Michael J Pennino; Paul M Mayer; Sujay S Kaushal; Adam D Balz
Journal:  Freshw Biol       Date:  2017-10-15       Impact factor: 3.809

4.  Tracing anthropogenic inputs in stream foods webs with stable carbon and nitrogen isotope systematics along an agricultural gradient.

Authors:  Kern Y Lee; Lisa Graham; Daniel E Spooner; Marguerite A Xenopoulos
Journal:  PLoS One       Date:  2018-07-06       Impact factor: 3.240

5.  The prevalence of nonlinearity and detection of ecological breakpoints across a land use gradient in streams.

Authors:  Sarah C D'Amario; Daniel C Rearick; Christina Fasching; Steven W Kembel; Emily Porter-Goff; Daniel E Spooner; Clayton J Williams; Henry F Wilson; Marguerite A Xenopoulos
Journal:  Sci Rep       Date:  2019-03-07       Impact factor: 4.379

6.  Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake.

Authors:  Maozhen Han; Melissa Dsouza; Chunyu Zhou; Hongjun Li; Junqian Zhang; Chaoyun Chen; Qi Yao; Chaofang Zhong; Hao Zhou; Jack A Gilbert; Zhi Wang; Kang Ning
Journal:  Genomics Proteomics Bioinformatics       Date:  2019-04-23       Impact factor: 7.691

Review 7.  Inferring Ecosystem Function from Dissolved Organic Matter Optical Properties: A Critical Review.

Authors:  Juliana D'Andrilli; Victoria Silverman; Shelby Buckley; Fernando L Rosario-Ortiz
Journal:  Environ Sci Technol       Date:  2022-08-02       Impact factor: 11.357

8.  The Impacts of Nitrogen Pollution and Urbanization on the Carbon Dioxide Emission from Sewage-Draining River Networks.

Authors:  Yongmei Hou; Xiaolong Liu; Guilin Han; Li Bai; Jun Li; Yusi Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

Review 9.  The Future of Freshwater Macrophytes in a Changing World: Dissolved Organic Carbon Quantity and Quality and Its Interactions With Macrophytes.

Authors:  Rosanne E Reitsema; Patrick Meire; Jonas Schoelynck
Journal:  Front Plant Sci       Date:  2018-05-14       Impact factor: 5.753

  9 in total

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