Evolution of particulate organic matter (POM) along a headwater drainage: role of sources, particle size class, and storm magnitude

Rowland, R. D.; Inamdar, Shreeram; Parr, Thomas B.

doi:10.1007/s10533-017-0325-x

Cited by 30 publications

(40 citation statements)

References 56 publications

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“…Target compounds were classified into four categories: low molecular weight organic acids (LOA), phenolic compounds  13 C and  15 N from Rowland et al (2017) as variables.…”

Section: Introductionmentioning

confidence: 99%

“…members and their isotopic values (Rowland et al, 2017) were used to model the  13 C of CSS. Modeled values were 154 compared to measured values reported by Rowland et al (2017) by calculating the relative standard deviation (RSD) and…”

Section: Introductionmentioning

confidence: 99%

“…Modeled values were 154 compared to measured values reported by Rowland et al (2017) by calculating the relative standard deviation (RSD) and…”

Section: Introductionmentioning

confidence: 99%

“…Four 281 main observations were reported by Rowland et al (2017) using the isotopic approach. First, "the litter layer was a dominant 282 contributor to CPOM, especially for the upstream locations".…”

mentioning

confidence: 99%

“…the measured values used in the isotopic fingerprinting approach (Rowland et al, 2017). The relative standard deviation was 296…”

mentioning

confidence: 99%

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Molecular fingerprinting of particulate organic matter as a new tool for its source apportionment: changes along a headwater drainage in coarse, medium and fine particles as a function of rainfalls

Jeanneau¹,

Rowland²,

Inamdar³

2017

Preprint

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Abstract. Tracking the sources of particulate organic matter (POM) exported from catchments is important to understand the 8 transfer of energy from soils to oceans. The suitability of investigating the molecular composition of POM by thermally 9 assisted hydrolysis and methylation using tetramethylammonium hydroxide directly coupled to gas chromatography and 10 mass spectrometry is presented. The results of this molecular fingerprint approach were compared with previously published 15specifically during events characterized by high rainfall amounts. At the upstream location, the source of POM seems to be 16controlled by the maximum and median hourly rainfall intensity. An added-value of this method is to directly investigate 17 chemical biomarkers and to mine their distributions in term of biogeochemical functioning of an ecosystem. In this 18 catchement, the distribution of plant-derived biomarkers characterizing lignin, cutin, and suberin inputs were similar in SBed 19and litter, while the proportion of microbial markers was 4 times higher in SBed than in litter. These results indicate that 20SBed OM was largely from plant litter that has been processed by the aquatic microbial community. 21Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-325 Manuscript under review for journal Biogeosciences Discussion started: 5 September 2017 c Author(s) 2017. CC BY 4.0 License. 1 Introduction 22Particulate organic matter (POM) plays key-roles in aquatic ecosystems, controlling the transfer and the bioavailability of 23 energy, nutrients and micropollutants. The flux of POM from soils to oceans has been estimated at 0.2 GtC per year (Ludwig 24 et al., 1996) with 80 % coming from biospheric inputs and the complement from petrogenic inputs (Galy et al., 2015). 25Assuming that the energy provided by natural organic matter is equivalent of the energy provided by the combustion of 26 wood, this flux of POM corresponds to an energy of 2.8 EJ, that is to say less than 2 days of the global energy consumption 27 of 2015 (yearbook.enerdata.net). This export mainly occurs during storm events, those hot moments being responsible for up 28 to 80% of annual particulate organic carbon (POC) export depending on the investigated catchment (Dhillon and Inamdar, 29 2013; Jeong et al., 2012; Jung et al., 2012; Oeurng et al., 2011). 30Among these hot moments, extreme events, defined as storm flow exceeded less than 10 % of the time (IPCC, 2001), seem 31to play a dominant role. In two contrasted catchments, a mountainous one in South-Korea and a lowland one in the Eastern 32United States of America (USA), the specific POC flux (flux per unit area of the catchment) has been shown to be non 33 linearly related to total rainfall with a threshold value beyond which the slope increased sharply (Dhillon and Inamdar, 2013; 34 Jung et al., 2014). The threshold value (approx. 70 mm in the American catchment and approx. 120 mm in the South-Korean 35 catchment) and the magnitude of this increase differed between both catchments and ar...

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“…Target compounds were classified into four categories: low molecular weight organic acids (LOA), phenolic compounds  13 C and  15 N from Rowland et al (2017) as variables.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Modeled values were 154 compared to measured values reported by Rowland et al (2017) by calculating the relative standard deviation (RSD) and…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

“…the measured values used in the isotopic fingerprinting approach (Rowland et al, 2017). The relative standard deviation was 296…”

mentioning

confidence: 99%

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Molecular fingerprinting of particulate organic matter as a new tool for its source apportionment: changes along a headwater drainage in coarse, medium and fine particles as a function of rainfalls

Jeanneau¹,

Rowland²,

Inamdar³

2017

Preprint

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Particulate Organic Matter Composition in Stream Runoff Following Large Storms: Role of POM Sources, Particle Size, and Event Characteristics

et al. 2018

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Large storm events possess significant erosive energy capable of mobilizing large amounts of sediment and particulate organic matter (POM) into fluvial systems. This study investigated how stream POM composition varied as a function of the watershed POM source, particle size, storm event magnitude, and seasonal timing. POM composition was characterized for multiple watershed sources and for stream POM following storms in a second‐order forested stream. Carbon (C) and nitrogen (N) amount, C:N ratio and isotopic content (13C and 15N) were determined for solid phase POM, whereas dissolved organic C, total N concentrations, and fluorescence characteristics were determined for solution/extracted POM. Key findings from this study were the following: (1) Composition of POM varied greatly with watershed sources with forest floor litter being C and N rich and labile, while stream banks and bed were C and N poor and recalcitrant. (2) Summer storms mobilized more carbon and nitrogen‐rich labile sources, while winter events mobilized more carbon‐ and nitrogen‐poor refractory material from near‐stream sources. (3) POM composition varied by size class, with the coarse POM showing more C and N rich and labile properties, while the fine POM displayed more degraded and refractory properties. If climate variability increases the magnitude and intensity of large storm events, our observations suggest that this will not only increase the inputs of POM to aquatic systems but also result in the delivery of coarser, C and N rich, and more bioavailable POM to the stream drainage network.

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Decomposition of Fine Particulate Organic Matter

Yoshimura

2020

Methods to Study Litter Decomposition

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Evolution of particulate organic matter (POM) along a headwater drainage: role of sources, particle size class, and storm magnitude

Cited by 30 publications

References 56 publications

Molecular fingerprinting of particulate organic matter as a new tool for its source apportionment: changes along a headwater drainage in coarse, medium and fine particles as a function of rainfalls

Molecular fingerprinting of particulate organic matter as a new tool for its source apportionment: changes along a headwater drainage in coarse, medium and fine particles as a function of rainfalls

Particulate Organic Matter Composition in Stream Runoff Following Large Storms: Role of POM Sources, Particle Size, and Event Characteristics

Decomposition of Fine Particulate Organic Matter

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