2015
DOI: 10.1016/j.scitotenv.2015.03.058
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Apportioning sources of organic matter in streambed sediments: An integrated molecular and compound-specific stable isotope approach

Abstract: 12We present a novel application for quantitatively apportioning sources of organic matter in streambed 13 sediments via a coupled δ 2 H and δ 13 C compound-specific isotope analysis (CSIA) of leaf wax n-14 alkane biomarkers using a Bayesian mixing model. Leaf wax extracts of 13 plant species were 15 collected from across three sub-environments (aquatic, bankside and terrestrial) and four plant 16 functional types (trees, herbaceous perennials and C 3 and C 4 graminoids) from the agricultural River 17Blackwate… Show more

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Cited by 75 publications
(34 citation statements)
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“…However, no such isotopic trend is observable within the lipid compound class as a function of depth (SI Figure S1). The 13 C-depleted nature of complex hydrocarbon lipids is known to reflect isotopic fractionation during their biosynthesis (Diefendorf & Freimuth, 2017), and the range in δ 13 C values found in this study falls within the typical range for C 3 terrestrial plants (Cooper et al, 2015;Hobbie & Werner, 2004). …”
supporting
confidence: 72%
“…However, no such isotopic trend is observable within the lipid compound class as a function of depth (SI Figure S1). The 13 C-depleted nature of complex hydrocarbon lipids is known to reflect isotopic fractionation during their biosynthesis (Diefendorf & Freimuth, 2017), and the range in δ 13 C values found in this study falls within the typical range for C 3 terrestrial plants (Cooper et al, 2015;Hobbie & Werner, 2004). …”
supporting
confidence: 72%
“…The importance of small streams is now recognized in the context of POM export from terrestrial to coastal environments, contributing to the estimations of the global ocean carbon cycle. However, while there are a growing number of studies on the detailed characterization of OM in small rivers (Jaffé et al 2001;Mead et al 2005;Medeiros and Simoneit 2008;Medeiros et al 2012;Cooper et al 2015;Giri et al 2015;Grewer et al 2015), more work is needed to characterize this material and link its sources, transport and transformations to spatially and temporally variable conditions that occur in stream networks. As we begin to understand how stream biogeochemistry varies across biome gradients at continental scales (Dodds et al 2015), a more complete model of OM sources, processing and transport may become possible and allow predictive ability related to anthropogenic changes such as woody vegetation expansion, climate change, and land use/land cover change.…”
Section: Discussionmentioning
confidence: 99%
“…While most of these studies focused on the bulk particulate OC (POC) isotopic composition, a more detailed characterization, through the molecular identification of source-specific biomarkers (Jaffé et al 2001;Medeiros and Simoneit 2008;Medeiros et al 2012;Cooper et al 2015;Giri et al 2015;Grewer et al 2015), could provide valuable information on the OM sources to and transport by small rivers. While detrital OM representative of the watershed could dominate supply to the stream network (Allan and Castillo 1995), a large portion of this material can originate from the vegetation comprising the riparian zone (Medeiros and Simoneit 2008).…”
Section: Introductionmentioning
confidence: 99%
“…For researchers interesting in the mineral fraction, removal of organic debris by floating or density separation may be warranted. Moreover, additional analyses, such as compound specific isotopes (Blake et al, 2012;Cooper et al, 2015;Hancock and Revill, 2013) could provide increased source discrimination and insights into potential contributions from instream particulate matter. Analyses into the sources of carbon, including the use of vegetation as an end-member in particulate matter source tracing (Garzon-Garcia et al, in review) could provide additional significant insights into carbon sources in the catchment and potentially global carbon fluxes through the development of field based approaches that may be capable of validating desktop-based carbon flux models (e.g.…”
Section: Particulate Matter Propertiesmentioning
confidence: 99%