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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/hess-21-2035-2017</article-id><title-group><article-title>Changes in dissolved organic matter quality in a peatland <?xmltex \hack{\newline}?> and forest headwater stream as a function of seasonality <?xmltex \hack{\newline}?> and hydrologic conditions</article-title>
      </title-group><?xmltex \runningtitle{Changes in dissolved organic matter quality in a peatland and forest headwater stream}?><?xmltex \runningauthor{T.~Broder et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Broder</surname><given-names>Tanja</given-names></name>
          <email>broder@uni-muenster.de</email>
        <ext-link>https://orcid.org/0000-0002-4496-5969</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Knorr</surname><given-names>Klaus-Holger</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4175-0214</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Biester</surname><given-names>Harald</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>IGÖ, Umweltgeochemie, TU Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>ILÖK, Hydrologie, WWU Münster, Heisenbergstr. 2, 48149 Münster, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Tanja Broder (broder@uni-muenster.de)</corresp></author-notes><pub-date><day>13</day><month>April</month><year>2017</year></pub-date>
      
      <volume>21</volume>
      <issue>4</issue>
      <fpage>2035</fpage><lpage>2051</lpage>
      <history>
        <date date-type="received"><day>22</day><month>July</month><year>2016</year></date>
           <date date-type="rev-request"><day>30</day><month>August</month><year>2016</year></date>
           <date date-type="rev-recd"><day>26</day><month>February</month><year>2017</year></date>
           <date date-type="accepted"><day>14</day><month>March</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017.html">This article is available from https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017.pdf</self-uri>


      <abstract>
    <p>Peatlands and peaty riparian zones are major sources of
dissolved organic matter (DOM), but are poorly understood in terms of export
dynamics and controls thereof. Thereby quality of DOM affects function and
behavior of DOM in aquatic ecosystems, but DOM quality can also help to
track DOM sources and their export dynamics under specific hydrologic
preconditions. The objective of this study was to elucidate controls on
temporal variability in DOM concentration and quality in stream water
draining a bog and a forested peaty riparian zone, particularly considering
drought and storm flow events. DOM quality was monitored using
spectrofluorometric indices for aromaticity (SUVA<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>), apparent
molecular size (<inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and precursor organic material (FI), as well as
PARAFAC modeling of excitation emission matrices (EEMs).</p>
    <p>Indices for DOM quality exhibited major changes due to different hydrologic
conditions, but patterns were also dependent on season. Stream water at the
forested site with mineral, peaty soils generally exhibited higher
variability in DOM concentrations and quality compared to the outflow of an
ombrotrophic bog, where DOM was less susceptible to changes in hydrologic
conditions. During snowmelt and spring events, near-surface protein-like DOM
pools were exported. A microbial DOM fraction originating from groundwater
and deep peat layers was increasing during drought, while a strongly
microbially altered DOM fraction was also exported by discharge events with
dry preconditions at the forested site. This might be due to accelerated
microbial activity in the peaty riparian zone of the forested site under
these preconditions. Our study demonstrated that DOM export dynamics are not
only a passive mixing of different hydrological sources, but monitoring
studies have to consider that DOM quality depends on hydrologic
preconditions and season. Moreover, the forested peaty riparian zone
generated the most variability in headwater DOM quantity and quality, as could
be tracked by the used spectrofluorometric indices.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Dissolved organic matter (DOM) is ubiquitous in soils and aqueous
ecosystems. It plays a fundamental role in surface water chemistry, e.g., in
metal bioavailability and mobility (Tipping et al., 2002), nutrient cycling
(Jansson et al., 2012), pH buffering and ionic balance (Hruška et al.,
2003). It affects light penetration (Karlsson et al., 2009), the aquatic
food web structure (Jansson et al., 2007), is an energy source for microbial
metabolism (Cole et al., 2007; Amon and Benner, 1996) and is part of
the carbon cycle (Cole et al., 2007). But not only DOM quantity is of great
interest, as the DOM quality strongly affects function and behavior of DOM
in aquatic ecosystems.</p>
      <p>Most DOM input to aquatic systems is of terrestrial origin (see Mulholland,
2003). Concentrations and characteristics of DOM vary strongly among surface
waters depending on catchment, climate and hydrology (Ågren et al.,
2014; Laudon et al., 2004; Frost et al., 2006; Winterdahl et al., 2014).
However, DOM concentrations and characteristics can also vary largely over
time due to seasonal changes in production, consumption and transport of DOM
(e.g., Fellman et al., 2009; Perdrial et al., 2014; Wallin et al., 2015).
Peatlands, which store large amounts of carbon, have thereby received
attention as a major source of DOM to surface water (Worrall et al., 2002;
Aitkenhead et al., 1999). But wet riparian zones with organic-rich
layers are also recognized as a DOM source (e.g., Bishop et al., 2004; Seibert et
al., 2009; Laudon et al., 2004, Ledesma et al., 2015). The annual dissolved
organic carbon (DOC) concentration dynamics and long-term DOC concentration
increase, observed for many catchments (Monteith et al., 2007; Worrall et
al., 2004), points out the importance to understand DOM origin and factors
controlling DOM export. Storm events have been shown to be quantitatively
important for DOM exports to streams in peatland catchments (Clark et al.,
2007) and carbon-rich riparian zones, as they generate high DOM
concentration peaks. DOM quality, as well as DOM quantity, is especially important for drinking-water production. Aromatic structures of DOM
could cause disinfection by-product (DBP) generation during drinking water
treatment (Korshin et al., 1997). More aromatic, humic DOM also decreases
light penetration and DOM photo-degradation potential in surface waters
(Cory et al., 2007; Ward and Cory, 2016). The easily biodegradable DOM
(BDOM) fraction – mainly fresh, protein-like DOM, derived from root or leaf
exudates, litter decay, or leachates – can be readily utilized and serves as
important nitrogen and phosphorus source in aquatic systems (Fellman et al.,
2009). Microbially processed DOM are residual and recalcitrant substances.
Assessing such variability in DOM quality can be a valuable tool to track
DOM sources and transport mechanisms (Singh et al., 2014), which is crucial
for predicting DOM exports and quality.</p>
      <p>Comprehensive studies have mainly focused on total DOM concentration and much is
known about the DOM export from peatland and forested catchments
(e.g., Laudon et al., 2011; Grabs et al., 2012; Clark et al., 2009). Trends of DOM
quality during storm flow events or differences depending on catchment type
are scarce. Inamdar et al. (2011) and Hood et al. (2006) characterized DOM
during storm events in a temperate forest catchment dominated by mineral
soils. A high contribution of aromatic structures during storm flow was
ascribed to flushing of humic-rich near-surface soil layers and lower
contribution of shallow groundwater. Organic soil layer DOM can be highly
aromatic or humic, reflecting decomposition of complex plant and soil
organic matter. As DOM percolates through the soil, sorption to mineral
phases preferentially removes larger, aromatic components (e.g., Meier et
al., 2004; Kaiser and Zech, 2000), and longer residence times enhance
alteration of DOM by microbial processes. Thus groundwater DOM is mostly of
microbial origin and of apparently smaller molecular size (e.g., Inamdar et
al., 2012; Singh et al., 2014). While Singh et al. (2014) described a strong
pulse of protein-like DOM during fall leaf fall, Perdrial et al. (2014)
perceived only modest shifts in DOM quality over seasons in a forested
catchment in New Mexico. Fellman et al. (2009) focused on the bioavailable
fraction of DOM from wetland and forest soils, and found a strong biotic
control on BDOM interacting with abiotic processes and hydrologic flow paths.
The BDOM fraction was highest during spring due to a low biotic demand and
shallow flow paths. Ågren et al. (2008) reported higher aromaticity and
apparent molecular size during snowmelt at a wetland catchment compared to a
forest catchment. However, a comparison to other high discharge events
during the growing season is lacking.</p>
      <p>A limitation in DOM quality studies is that determination of DOM structures
is elaborate and expensive, while large datasets and high temporal
resolution would be desirable (Strohmeier et al., 2013). UV-Vis and
fluorescence spectroscopy are limited in data interpretation in terms of
specific chemical structures, but due to low cost and rapid analysis they enable
us to generate a comprehensive dataset covering a wide range of hydrologic
and seasonal conditions. It allows for distinction between different DOM
constituents and the disentanglement of their specific export behavior, and might also
be used to trace different DOM sources (Hood et al., 2006). Several optical
indices describe the nature of DOM: specific ultra-violet absorbance at
254 nm (SUVA<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>) is commonly used as indicator for the proportion of
aromatic structures (Weishaar et al., 2003). The spectral slope ratio (<inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) (Helms et al., 2008) is used as a proxy for apparent DOM molecular
size. The humification index (HIX) (Ohno, 2002) and fluorescence index (FI)
(Cory and McKnight, 2005) are derived from fluorescence-based
excitation–emission matrices (EEMs). While HIX describes the degree of
humification, FI differentiates between plant-derived and microbial- or
planktonic-derived DOM. The fluorescence EEMs can be further analyzed using
parallel factor (PARAFAC) analysis, decomposing the EEMs into hypothetic
fluorophores related to differences in composition of DOM (Stedmon and Bro,
2008; Murphy et al., 2013).</p>
      <p>Following up on a previous study describing DOC fluxes and concentration
dynamics from a bog catchment (Broder and Biester, 2015), the present study
intends to elucidate different spatiotemporal dynamics in DOM quality over
a year, comparing a bog and a forested peaty riparian zone, as those
landscape types are considered as the main sources of stream DOM. We
hypothesized that DOM quality is highly variable in a headwater stream
depending on hydrologic conditions and season. In addition, we expected that
DOM quality at the forested site is more affected by changes in hydrologic
conditions than at the bog site. Furthermore, we tested if
spectrofluorometric indices can be used to track DOM sources and their
dynamics under specific hydrologic (pre)conditions. We expected short-term
DOM quality changes due to high discharge events, which cause changes in
hydrologic flow paths in the catchment, such as a development of surface
flow networks or a connection of organic-rich surface layers to discharging
waters. Changes in DOM composition in stream water might further reflect DOM
sources of shallow groundwater or deeper peat layers versus organic-rich
upper soil layers or near-surface peat layers. This short-term pattern was
expected to be overlain by seasonal DOM changes due to changes of DOM
production and consumption over the year. General differences in DOM quality
between the bog and forested riparian zone catchments are caused by
differences in vegetation, water level fluctuations and an existence of
mineral soil layers.</p>
      <p>To test our hypotheses, we chose a headwater stream catchment to compare DOM
export from discrete landscape units. The Oder catchment in the Harz
Mountains (Germany) is particularly suitable for our study as the stream
originates within a bog and enables us to retrieve an exclusively bog-derived DOM signal within this headwater stream. Short residence times make
in-stream processes negligible and allow landscape-type-specific studies.
The effects of storm events, hypothesized to induce major DOM dynamics, were
particularly considered in our sampling design. For DOM characterization and
source identification we applied spectrofluorometric indices like
SUVA<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>, <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, HIX and FI, as well as PARAFAC modeling of
excitation–emission matrices. Seasonality effects were assessed considering
mean daily air temperatures.</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study site</title>
      <p>The study site is located within the nature protection area of the Harz
Mountains. The Odersprung bog exhibits an erosion rill, draining the
peatland (Fig. 1). The catchment responds quickly to rainfall events and
discharge is mainly fed by near-surface waters. A more detailed hydrologic
description is given in Broder and Biester (2015). The bog vegetation is
dominated by <italic>Sphagnum magellanicum</italic> and <italic>S. rubellum</italic>,
associated with <italic>Eriophorum angustifolium</italic> and <italic>Molinia caerulae</italic> (Baumann, 2009). The peatland is
surrounded by spruce forest growing on a cambic podzol soil at the
hillslopes, and peaty soils with deep organic topsoil layer in the riparian
zone. One discharge sampling was conducted directly at the rill outflow,
where all water originates exclusively from the domed bog. Another sampling
spot was established about 20 m further downstream where the small headwater
stream increasingly receives water from the surrounding forested, organic-rich mineral soils and peaty riparian zone (Fig. 1). The catchment is
underlain by granitic bedrock. The mean peat thickness of the bog is about 3 m, while
the mineral soils are shallow at the hillslope (30 cm) and deeper in
depressions (100 cm). Organic content of the soil varies between 30 and
97 % in the organic-rich surface layers (Broder and Biester, unpublished data).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Location of the study area in the Harz Mountains, Germany. Red and
yellow lines indicate each catchment boundary, circles represent the
discharge monitoring spots (yellow – bog catchment; red – forest catchment
with peaty riparian zone). Green areas indicate peaty soils, beige-colored
areas outline mineral cambic podzol soils. The bog area is confined by the
bold black line. Map source: NIBIS mapserver, Lower Saxony authority for
mining, energy and geology (LBEG).</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <title>Sampling and field measurements</title>
      <p>Stream water sampling at each sampling spot was conducted from snowmelt to
the beginning of snowfall in 2013. Water samples of 500 mL volume were taken by an
automated water sampler (Teledyne ISCO, USA) in 6-day intervals summing up
to 44 samples. Additional grab samples were taken every 2 to 3 weeks
(30 samples in total) in polyethylene (PE) tubes, which were previously rinsed twice with
sample water. High-frequency storm event sampling was conducted on several
occasions in 3 h intervals resulting in 191 samples. A V-notch weir
was installed at the bog outlet for discharge quantification. Water stage at
the weir as well as at the bog site was recorded at 10 min time resolution
by a water level logger (Odyssey dataflow systems, New Zealand) installed in
a slotted PVC piezometer tube of 4 cm diameter. Temperature, humidity and
precipitation were monitored on-site at the same resolution as the water
level (using a tipping-bucket rain-gauge and tinytag tgp 4500 and 4810, Gemini, Belgium).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Laboratory analysis, indices and PARAFAC modeling</title>
      <p>Water samples were vacuum filtered with a 0.45 <inline-formula><mml:math id="M7" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m nylon filter (Merck
Millipore, Germany) and stored in the dark at 4 <inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. All water
samples were analyzed for DOC by thermo-catalytic oxidation using the NPOC
method (non-purgeable organic carbon; multi N/C 2100S, Analytik Jena,
Germany). UV-VIS spectra of all samples were recorded with a Lambda 25
(Perkin Elmer, USA) in the range of 200–800 nm at 0.5 nm resolution. A
possible iron interference was excluded as the maximum iron concentration of
500 <inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g L<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (and an iron to carbon ratio of about 0.01) was well
below published critical concentration levels (see Weishaar et al., 2003;
Xiao et al., 2013; Poulin et al., 2014). For subsequent fluorescence
spectroscopy, samples were diluted to absorption <inline-formula><mml:math id="M11" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.3 at 254 nm to
reduce inner-filter effects. Absorbance at 254 nm wavelength (abs<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula>, m<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) was used as an indicator for the absolute aromaticity
of DOM samples as conjugated systems like aromatic molecules have the
greatest absorption in the UV range of 200–380 nm (Weishaar et al., 2003).
SUVA<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> was calculated by dividing absorbance at 254 nm (m<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
by the DOC concentration (mg L<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) according to Weishaar et al. (2003),
with increasing SUVA<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values indicating a higher aromaticity.
The spectral slope ratio (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), a proxy inversely related to molecular
weight, was calculated after Helms et al. (2008) by dividing the slope in
the interval of 275–295 nm by the slope at 350–400 nm. Slopes were
determined using linear regression of log-transformed absorption spectra.</p>
      <p>Fluorescence spectroscopy was conducted through measurement campaigns at 3-month
intervals.
During this time filtered samples were stored at
4 <inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in the dark. Fluorescence EEMs were collected with a Cary eclipse fluorescence spectrometer (Agilent, USA)
in 5 nm steps over an excitation range of 240–450 and 2 nm steps over an
emission range of 300–600 nm. Inner filter correction, blank subtraction and
Raman normalization was performed using the drEEM 0.2.0 toolbox from Murphy
et al. (2013) and MATLAB (Version 2013a, MathWorks, USA). Reshaped EEMs were
subjected to PARAFAC analysis to obtain hypothetical
fluorophores for DOM fingerprinting. In total, 435 samples were included in
the PARAFAC model, with both discharge and pore water samples originating from
different sites. Samples examined in this study accounted for 242 samples
within this model. A model with five fluorescence components could be obtained and
split-half validated following the drEEM and N-way toolbox (Murphy et al.,
2013; Stedmon and Bro, 2008). The sum of fluorescence intensities of the
modeled components thereby represents the total fluorescence of a sample.
The contribution of fluorescent DOM (fDOM) to total DOC was evaluated by
normalizing total fluorescence by DOC concentrations (fDOM <inline-formula><mml:math id="M20" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> DOC ratio).</p>
      <p>The FI was calculated by the ratio of fluorescence emission intensities at
470 and 520 nm at an excitation wavelength of 370 nm (Cory and McKnight,
2005). The FI differentiates between plant-derived (FI: 1.3–1.4) and
microbial- or planktonic-derived DOM (FI: 1.7–2.0) (McKnight et al., 2001)
as the ratio represents the greater decrease in emission with increasing
wavelengths of microbial-derived DOM. As our study site is a headwater
catchment we assume that all DOM is of terrestrial origin and therefore, we
interpret an FI <inline-formula><mml:math id="M21" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1.7 as microbially derived or microbially processed
DOM. The HIX was calculated after the modified equation
of Ohno (2002) whereby higher values in a range of 0 to 1 indicate a
red shift of spectral emission and a higher degree of DOM humification.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Statistical analyses</title>
      <p>Statistics were performed using IBM SPSS 24. The dataset was split regarding
sampling sites (bog or forest) and was further divided into a seasonal
(6-day interval) and an event record (high-resolution sampling campaigns). On
each subdataset descriptive statistics of mean, median, minimum and maximum
value, and standard deviation (SD) were performed. As all datasets were neither normally distributed (after
the Shapiro–Wilk test), nor have a homogeneity
of variance (Levene's test), Spearman's rank correlation
was used to test correlations of specific parameters. Accordingly, the Mann–Whitney or
Kruskall–Wallis test with Bonferroni correction was applied to test
significant differences between non-parametric datasets (0.05 level of significance).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Seasonal trends</title>
<sec id="Ch1.S3.SS1.SSS1">
  <title>Hydrologic conditions and DOC concentrations</title>
      <p>The DOC concentration record and hydrologic characteristic at the bog site
has been described previously in Broder and Biester (2015). In short, bog
discharge exhibited a flashy regime with an instantaneous response to rain
events. The rain event with the highest recorded discharge peak occurred in
spring, while in summer a longer drought period resulted in very low
discharge and little response to rainfall due to recovery of water storage
within the bog. More frequent rain events in fall at wetter antecedent
moisture conditions caused again more flashy discharge and concentration responses.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Annual records of DOC concentrations, abs<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula>, SUVA<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>
and <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from top to bottom (DOY – day of the year) in 2013. The blue
line represents the bog discharge (<inline-formula><mml:math id="M25" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>). Grey circles represent the bog site,
red circles the forested site, while arrows indicate concentration or index
trends during rain events and summer drought at the different sites. Sampled
rain events in spring and fall are highlighted by blue boxes.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f02.png"/>

          </fig>

      <p>The variability of DOC concentrations over the year ranged between 5.0 and
45.8 mg L<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (SD of 7.0 mg L<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at the forested site and 8.1 mg L<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
at the bog site) and was larger than during single rain events at
both sites, where standard deviations ranged between 1.3 and 1.9 mg L<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
at the bog site and from 0.6 to 4.2 mg L<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at the forested site (Figs. 2 and 3
and Table 1). However, the rain event in fall was responsible for the
highest recorded DOC concentrations of 37.3 and 45.8 mg L<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
during the entire study period at both sites. The concentration trend
generally followed the vegetation period with highest concentrations in late
summer and fall. Spearman's correlation of DOC concentrations with mean
daily air temperature was significant and positive at the bog site
(coefficient of 0.591; <inline-formula><mml:math id="M32" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M33" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.01, two-tailed), but not at the
forested site. The lowest concentrations, of 5.0 and 10.2 mg L<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, were
measured during snowmelt at both sites. Concentrations of DOC were
significantly higher at the forested site (median of 32.1 mg L<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) than
at the bog outlet (median of 25.7 mg L<inline-formula><mml:math id="M36" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) over the whole sampling
period (see Table 1).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <title>DOM quality using spectrofluorometric indices</title>
      <p>The abs<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> as index for total aromaticity of the DOM exhibited a
similar trend to the DOC concentrations at both sites over the year
(Fig. 2). Nonetheless, SUVA<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values as index for proportional aromaticity
of DOM varied between 3.5 and 5.2 at the bog site and between 3.4 and 5.9
at the forested site, but with no seasonal trend as observed for DOC
concentrations. According to Weishaar et al. (2003), calculated SUVA<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>
values corresponded to a DOM aromaticity of 27–38 % for the bog site
and 29–42 % for the forested site. Variations were mainly induced by
hydrologic conditions with high values during rain events in spring (up to 5.5).
Mean SUVA<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values were higher at the forested site
(SUVA<inline-formula><mml:math id="M41" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> of 4.6, SD of 0.5), but showed a larger variability than at
the bog site (mean SUVA<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> of 4.4, SD of 0.4, see also Table 1). During
the summer drought period SUVA<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values decreased at both sites, but
this decrease was stronger at the forested site (Fig. 2).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>General descriptive statistics (mean, median, standard deviation (SD),
minimum and maximum values) for DOC concentrations, and DOM quality
parameters (abs<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula>, SUVA, <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, FI, HIX, C1 %, C2 %, C3 %,
C4 % and C5 %) over the whole sampling period. High-resolution rain
event data are excluded to project seasonal variability.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.97}[.97]?><oasis:tgroup cols="18">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="left"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="left"/>
     <oasis:colspec colnum="14" colname="col14" align="right"/>
     <oasis:colspec colnum="15" colname="col15" align="right"/>
     <oasis:colspec colnum="16" colname="col16" align="left"/>
     <oasis:colspec colnum="17" colname="col17" align="right"/>
     <oasis:colspec colnum="18" colname="col18" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center">DOC </oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry rowsep="1" namest="col5" nameend="col6" align="center">Abs254 </oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry rowsep="1" namest="col8" nameend="col9" align="center">SUVA<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry rowsep="1" namest="col11" nameend="col12" align="center"><inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry rowsep="1" namest="col14" nameend="col15" align="center">FI </oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry rowsep="1" namest="col17" nameend="col18" align="center">HIX </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Bog<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Forest<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">Bog<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">Forest<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">Bog</oasis:entry>  
         <oasis:entry colname="col9">Forest</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">Bog<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12">Forest<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">Bog<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col15">Forest<inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">Bog</oasis:entry>  
         <oasis:entry colname="col18">Forest</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M59" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">32</oasis:entry>  
         <oasis:entry colname="col3">37</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">32</oasis:entry>  
         <oasis:entry colname="col6">42</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">32</oasis:entry>  
         <oasis:entry colname="col9">36</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">32</oasis:entry>  
         <oasis:entry colname="col12">42</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">22</oasis:entry>  
         <oasis:entry colname="col15">20</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">22</oasis:entry>  
         <oasis:entry colname="col18">20</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mean</oasis:entry>  
         <oasis:entry colname="col2">23.0</oasis:entry>  
         <oasis:entry colname="col3">30.4</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">233</oasis:entry>  
         <oasis:entry colname="col6">304</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">4.4</oasis:entry>  
         <oasis:entry colname="col9">4.6</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">1.80</oasis:entry>  
         <oasis:entry colname="col12">1.84</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">1.58</oasis:entry>  
         <oasis:entry colname="col15">1.63</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">0.91</oasis:entry>  
         <oasis:entry colname="col18">0.92</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Median</oasis:entry>  
         <oasis:entry colname="col2">25.7</oasis:entry>  
         <oasis:entry colname="col3">32.1</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">250</oasis:entry>  
         <oasis:entry colname="col6">313</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">4.4</oasis:entry>  
         <oasis:entry colname="col9">4.6</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">1.78</oasis:entry>  
         <oasis:entry colname="col12">1.83</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">1.58</oasis:entry>  
         <oasis:entry colname="col15">1.64</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">0.92</oasis:entry>  
         <oasis:entry colname="col18">0.92</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SD</oasis:entry>  
         <oasis:entry colname="col2">8.1</oasis:entry>  
         <oasis:entry colname="col3">7.0</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">79</oasis:entry>  
         <oasis:entry colname="col6">79</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">0.4</oasis:entry>  
         <oasis:entry colname="col9">0.5</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">0.09</oasis:entry>  
         <oasis:entry colname="col12">0.08</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">0.04</oasis:entry>  
         <oasis:entry colname="col15">0.05</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">0.04</oasis:entry>  
         <oasis:entry colname="col18">0.02</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Min</oasis:entry>  
         <oasis:entry colname="col2">5.0</oasis:entry>  
         <oasis:entry colname="col3">11.2</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">49</oasis:entry>  
         <oasis:entry colname="col6">113</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">3.5</oasis:entry>  
         <oasis:entry colname="col9">3.4</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">1.67</oasis:entry>  
         <oasis:entry colname="col12">1.71</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">1.52</oasis:entry>  
         <oasis:entry colname="col15">1.55</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">0.76</oasis:entry>  
         <oasis:entry colname="col18">0.86</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Max</oasis:entry>  
         <oasis:entry colname="col2">36.6</oasis:entry>  
         <oasis:entry colname="col3">45.8</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">384</oasis:entry>  
         <oasis:entry colname="col6">489</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">5.2</oasis:entry>  
         <oasis:entry colname="col9">5.9</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">2.00</oasis:entry>  
         <oasis:entry colname="col12">1.98</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">1.68</oasis:entry>  
         <oasis:entry colname="col15">1.75</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17">0.95</oasis:entry>  
         <oasis:entry colname="col18">0.95</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center">C1 % </oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry rowsep="1" namest="col5" nameend="col6" align="center">C2 % </oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry rowsep="1" namest="col8" nameend="col9" align="center">C3 % </oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry rowsep="1" namest="col11" nameend="col12" align="center">C4 % </oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry rowsep="1" namest="col14" nameend="col15" align="center">C5 % </oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Bog</oasis:entry>  
         <oasis:entry colname="col3">Forest</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">Bog<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">Forest<inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">Bog<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9">Forest<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">Bog<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12">Forest<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">Bog</oasis:entry>  
         <oasis:entry colname="col15">Forest</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M66" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">22</oasis:entry>  
         <oasis:entry colname="col3">20</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">22</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">22</oasis:entry>  
         <oasis:entry colname="col9">20</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">22</oasis:entry>  
         <oasis:entry colname="col12">20</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">22</oasis:entry>  
         <oasis:entry colname="col15">20</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mean</oasis:entry>  
         <oasis:entry colname="col2">44</oasis:entry>  
         <oasis:entry colname="col3">44</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">26</oasis:entry>  
         <oasis:entry colname="col6">28</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">14</oasis:entry>  
         <oasis:entry colname="col9">17</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">10</oasis:entry>  
         <oasis:entry colname="col12">6</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">6</oasis:entry>  
         <oasis:entry colname="col15">5</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Median</oasis:entry>  
         <oasis:entry colname="col2">44</oasis:entry>  
         <oasis:entry colname="col3">44</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">26</oasis:entry>  
         <oasis:entry colname="col6">28</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">14</oasis:entry>  
         <oasis:entry colname="col9">17</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">10</oasis:entry>  
         <oasis:entry colname="col12">7</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">5</oasis:entry>  
         <oasis:entry colname="col15">5</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SD</oasis:entry>  
         <oasis:entry colname="col2">1</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">2</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">1</oasis:entry>  
         <oasis:entry colname="col9">2</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">2</oasis:entry>  
         <oasis:entry colname="col12">4</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">3</oasis:entry>  
         <oasis:entry colname="col15">2</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Min</oasis:entry>  
         <oasis:entry colname="col2">40</oasis:entry>  
         <oasis:entry colname="col3">42</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">23</oasis:entry>  
         <oasis:entry colname="col6">25</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">12</oasis:entry>  
         <oasis:entry colname="col9">13</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">4</oasis:entry>  
         <oasis:entry colname="col12">0</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">4</oasis:entry>  
         <oasis:entry colname="col15">3</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Max</oasis:entry>  
         <oasis:entry colname="col2">47</oasis:entry>  
         <oasis:entry colname="col3">46</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">29</oasis:entry>  
         <oasis:entry colname="col6">30</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">15</oasis:entry>  
         <oasis:entry colname="col9">21</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">13</oasis:entry>  
         <oasis:entry colname="col12">12</oasis:entry>  
         <oasis:entry colname="col13"/>  
         <oasis:entry colname="col14">14</oasis:entry>  
         <oasis:entry colname="col15">10</oasis:entry>  
         <oasis:entry colname="col16"/>  
         <oasis:entry colname="col17"/>  
         <oasis:entry colname="col18"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><?xmltex \begin{scaleboxenv}{.97}[.97]?><table-wrap-foot><p><?xmltex \hack{\vspace*{1mm}}?><inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> Significant differences between bog and forested site (Mann–Whitney;
two-tailed, <inline-formula><mml:math id="M47" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M48" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05).</p></table-wrap-foot><?xmltex \end{scaleboxenv}?></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Box plots of SUVA, <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, HIX, DOC concentrations, abs<inline-formula><mml:math id="M68" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula>
and FI during events. Dark blue bars indicate the bog site, lighter blue
bars the forested site. Asterisks indicate a significant difference between
events (Kruskall–Wallis; <inline-formula><mml:math id="M69" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M70" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05), which are indicated by
added numbers: 1 – snowmelt, 2 – spring dry, 3 – spring wet, 4 – fall
dry. Significant differences between the bog and the forested site at an
event (Mann–Whitney; <inline-formula><mml:math id="M71" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) are indicated by a hash. A
table of descriptive statistics for each event can be found in the Supplement.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f03.png"/>

          </fig>

      <p>As expected, the <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> as reciprocally proportional index for molecular
weight of DOM exhibited an opposite trend to SUVA<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 2),
expressed in a negative correlation on a 0.01 level of significance
(Spearman correlation coefficient of <inline-formula><mml:math id="M75" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.616 at the bog site and <inline-formula><mml:math id="M76" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.598 at
the forest site). The annual dynamic was similar at both sites, but with
higher <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during snowmelt (<inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> up to 2.2) and sampled rain events
(<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 1.7–2.0) at the forested site (Fig. 3), indicating a lower
molecular weight than at the bog site. During the summer drought <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
steadily increased from 1.7 to 2.0, indicating decreasing molecular weight.
With the onset of fall rain events, molecular weight increased again,
indicated by lower <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values.</p>
      <p>The HIX, as well as the FI, also
exhibited no annual trend (Fig. 4). At the bog and the forested site HIX
only varied during snowmelt and spring events with lower values down to 0.76
and 0.81, respectively, compared to HIX in summer and fall, where values
remained between 0.90 and 0.94 and between 0.91 and 0.95, respectively. FI exhibited
values between 1.5 and 1.75, with significantly higher values at the forested
site. At the forested site FI increased during summer drought (from 1.5 to 1.7).</p>
</sec>
<sec id="Ch1.S3.SS1.SSS3">
  <title>Hypothetical fluorophores modeled by PARAFAC</title>
      <p>To facilitate a description of the PARAFAC results, the identified
components are briefly described here and compared to hypothetical
fluorophores typically observed in other studies. PARAFAC modeling resulted
in a five-component model with four humic-like and one protein-like
hypothetic fluorophores. Excitation–emission regions of each component can
be found in Fig. 5. The modeled PARAFAC component C1 can be compared to a
terrestrial, humic-like fluorophore originating from forest and wetland
soils, as described by Perdrial et al. (2014), and C2 can again be described
as humic-like (see, e.g., C3 of Singh et al., 2014), but the
excitation–emission region is shifted to higher excitation and emission
wavelengths compared to C1, indicating more conjugated and more aromatic
fluorescent molecules. A component similar to C3 has previously been
described as humic, but also of terrestrial origin, small molecular size,
recalcitrant and reduced (Cory and McKnight, 2005; Singh et al., 2014;
Fellman et al., 2008; Perdrial et al., 2014). C4 is only slightly shifted
compared to the excitation–emission region of C3 and compares to C2 from
Fellman et al. (2008) and Ohno and Bro (2006), another humic-like
fluorophore. C5 could be described as tryptophan-like, of microbial origin,
labile and of recent biological production (described in e.g., Fellman et
al., 2008 as C8). It can be used as proxy for BDOM (Fellman et al., 2008).
In C1 and C3 fulvic-like fluorophores might also be included, which are more
hydrophilic and therefore more mobile than the humic-like DOM (in Fellman et
al., 2008: C3, C4), but could not be clearly separated into individual components.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS4">
  <title>DOM quality using PARAFAC</title>
      <p>The fDOM, as the sum of all fluorescent components modeled by PARAFAC,
showed changes with discharge events with both minimum and maximum
intensities during sampled discharge events (Fig. 4). Fluorescence was
elevated during summer and lower values occurred in spring and fall at both
sites. Normalizing fDOM to DOC concentrations, a decrease in the fluorophore
fraction in DOM from spring to fall could be observed (Fig. 4). This
fluorophore fraction also decreased during individual sampled rain events.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Annual record of the humification index (HIX), fluorescence index (FL),
sum of all Fmax PARAFAC components values (fDOM) and fDOM to DOC
concentration (mg L<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) ratio against day of the year (DOY) in 2013.
The blue line represents the bog discharge (<inline-formula><mml:math id="M83" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>). Grey circles represent the
bog site, red circles the forested site. Sampled rain events in spring and
fall are highlighted.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f04.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Characteristic EEMs of all five modeled PARAFAC components. For further
component description see Sect. 3.1.3.</p></caption>
            <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f05.png"/>

          </fig>

      <p>The fDOM at the bog site showed few seasonal changes in the contribution
of the four components over the year. The greatest changes were perceived during
snowmelt with the highest protein-like C5 % (<inline-formula><mml:math id="M84" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10–17 %) and
variable humic-like C1 %, C2 % and C4 % contributions at the bog site
(Fig. 7). The protein-like C5 % contributed least to fDOM with about 5 %
during most of the record. The components C1 % and C4 % increased during
summer drought at the bog site (Fig. 6). The protein-like C5 % contributed
largely to fDOM during snowmelt and a wet spring event (Fig. 6). The humic
like C1 % increased during summer drought, while C2 % decreased at the
same time. The components C2 % and C3 % were significantly elevated at
the forested site, while significantly higher contributions of C4 % were
attributed to the bog site (Figs. 6 and 7).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Snowmelt, drought and rain events</title>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Snowmelt</title>
      <p>Snowmelt samples exhibited a distinct pattern compared to discharge events
in other seasons. DOC concentrations (5.0–11.7 mg L<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>),
abs<inline-formula><mml:math id="M86" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> (45–128 m<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), HIX (0.76–0.93) and fDOM (0.6–1.1)
were lowest and normalized fDOM <inline-formula><mml:math id="M88" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> DOC (0.06–0.14) was highest during
snowmelt at both sites (Figs. 3 and 4). Differences to other events were
significant, excluding the wet spring event, though. Values of <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
during snowmelt were high at the forested site with about 1.96–2.17, while
<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at the bog site exhibited mean values of 1.78–1.88 (Fig. 3), which
was still higher than following spring samples, though. SUVA<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> was
significantly lower (4.2–4.5) than in following spring events at the
forested site, while at the bog site SUVA<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> of 3.9–4.4 were similar
to values of the rest of the record (Table 1, Fig. 2). The protein-like
PARAFAC component C5 % was elevated during snowmelt (7–16 %) and
was significantly higher than at the fall event at both sites (Fig. 7).
Values of the humic-like C2 % (median of 23 %) and C4 % (median of
7 %) were low at the bog site compared to median annual values of
26 and 10 %, respectively. At the forested site the bog-derived C4 % was
almost absent and the humic-like forest-derived C3 % was strongly elevated
(contributing about 20 % to total fluorescence, Fig. 7). It should be
noted, though, that the snowmelt event was not entirely covered by our
sampling period as the upstream water was still covered with snow.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Percentage of PARAFAC components C1–C5. Blue line represents the
bog discharge (<inline-formula><mml:math id="M93" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>). Grey dots indicate bog site values, red dots forest site
values, while arrows indicate trends during rain events and summer drought
at the different sites. Sampled rain events in spring and fall are highlighted.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f06.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Box plots of PARAFAC components during events. Dark blue bars
indicate the bog site, lighter blue bars the forested site. A table of
descriptive statistics for each event can be found in the Supplement.
Asterisks indicate a significant difference between events (Kruskall–Wallis;
<inline-formula><mml:math id="M94" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M95" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05), which are indicated by added numbers: 1 – snowmelt,
2 – spring dry, 3 – spring wet, 4 – fall dry. Significant
differences between the bog and the forested site at an event (Mann–Whitney;
<inline-formula><mml:math id="M96" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M97" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) are indicated by a hash. A table of descriptive
statistics for each event can be found in the Supplement.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/21/2035/2017/hess-21-2035-2017-f07.png"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Spring</title>
      <p>The sampled spring rain events could be differentiated by hydrologic
preconditions as the first event occurred under dry preconditions, while the
second described spring event followed after preceding rain events under wet
hydrologic preconditions. DOC concentrations and abs<inline-formula><mml:math id="M98" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> were
significantly higher after dry preconditions (21.9–31.7 mg L<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and
225–341 m<inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) than after wet preconditions (9.4–23.1 mg L<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
and 102–281 m<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at both sites (Fig. 3). SUVA<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values at the
forested site were persistently high during the whole spring time (4.5–5.5),
but decreased during each rain event. At the bog site, SUVA<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>
values were significantly lower than at the forested site during spring rain
events, but were still significantly elevated compared to the fall event at
the bog site. High-resolution sampling before the wet-precondition spring
event during low-flow conditions showed a steady decrease in <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> until
the onset of the rain event where values momentarily peaked at the forested
site. However, at the first spring event with dry preconditions, the <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
values peaked later at the declining limb of the hydrograph. At the bog site
<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values during spring events were low, but again with increasing
values at the declining limb of the hydrograph, which indicates a decrease
in apparent molecular size.</p>
      <p>Contribution of protein-like component C5 % exhibited elevated values
during the second spring event with wet preconditions at the bog site
(Figs. 6 and 7). The bog-derived humic-like C4 % decreased during spring events at
both sites (Fig. 6). This trend was more distinct at the forested site, with
a quick drop to zero at the second event. The humic-like C1 % dropped from
the first sampled spring event to the second one at the bog site, while the
more aromatic C2 % increased at the forested site from the first to second
event. The predominantly forest-derived humic-like C3 % also increased at
all storm events and was significantly higher at the forested site.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>Drought</title>
      <p>The year 2013 was characterized by a strong summer drought, which caused low
discharge over the summer months. During the prevailing drought period DOC
concentrations, abs<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> increased, while SUVA<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>
decreased, especially at the forested site (from 5.4 to 3.7, Fig. 2). The
humic-like C1 % increased and the humic-like, but more aromatic C2 %
decreased at the forested site, while at the bog outlet an increase in the
humic-like bog-derived C4 % was perceived (Fig. 6).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS4">
  <title>Fall</title>
      <p>The fall event following the summer drought generated the highest DOC
concentrations of the annual record with 45.8 mg L<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> DOC at the
forested site and 37.3 mg L<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> DOC at the bog site. Even though
abs<inline-formula><mml:math id="M113" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">254</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> was high and even increasing during the event at the forested
site, SUVA<inline-formula><mml:math id="M114" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values were significantly lower than during spring events,
indicating a lower aromaticity of DOM in fall (Fig. 3). Congruently, <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
values were higher at both sites, indicating smaller DOM during the fall event.
The humic-like PARAFAC components C1 %, C4 % and the protein-like C5 %
decreased during the fall rain event at the forested site, while the forest-derived humic-like C2 % and C3 % increased (Fig. 6). The bog-derived
C4 % contributions were significantly higher than during snowmelt and in
spring at the bog site (Fig. 7), but exhibited the same decreasing trend
with the ongoing rain event at both sites. The protein-like C5 % exhibited
lower values during the fall event than at the spring rain.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>As expected, the spectroscopic indices for aromaticity (SUVA<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>) and
apparent molecular size (<inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) were inversely correlated, which implies
that an increase in aromaticity is accompanied by an increase in apparent
molecular size. This suggests that aromatic structures dominate the DOM fraction of apparently high molecular size in this study. Fluorometric indices
exhibited different trends than UV-VIS indices even though they should
reflect similar changes in DOM quality. HIX as fluorometric index for humic
components showed less variability than SUVA<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>. A difference between
those two indices was also reported by Inamdar et al. (2011). As
SUVA<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> is a proxy exclusively for aromatic DOM, HIX might include
other humic or hydrophobic DOM components derived from plant decomposition.
Trends of HIX in this study rather indicate that HIX represents all
fluorescent humic-like components, which resulted in less variability due to
a domination of humic components in all catchment compartments.</p>
      <p>The FI values of both sites varied between 1.5 and 1.75. This indicates a
domination of microbial or microbially processed DOM over vascular-plant-derived DOM in the catchment (Cory and McKnight, 2005). As we assume that
all DOM is of terrestrial origin, it implies that the majority of measured
stream DOM is not fresh organic material as would be indicated by high
contributions of C5 %, nor highly aromatic DOM derived from plant
decomposition, but has been strongly modified by microbial processes within
the soils. It also indicates long residence times of DOM in the soils, as
produced DOM is mainly not immediately transported to surface waters, but
gets altered or consumed within the soils of the catchment. This may be
supported by the high SUVA<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values, which indicate a strong aromatic
fraction contributing 27 to 42 % to DOM, presumably due to residual enrichment.</p>
      <p>In contrast to other studies, the forested site exhibited higher
SUVA<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values for aromaticity most of the time. For example, Ågren
et al. (2008) and Wallin et al. (2015) found similar SUVA<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> values or
even higher values at a peatland site, respectively, compared to mineral
soils at a forested site. On the one hand this might be due to the
dominating <italic>Sphagnum</italic> vegetation and peat at the bog site here, as <italic>Sphagnum</italic> is known to
produce less aromatic organic matter than vascular plants, which also occur
in peatlands, due to the lack of lignin in <italic>Sphagnum</italic> mosses (Spencer et al., 2008).
On the other hand, the domination of peaty soils in the riparian zone and
the domination of shallow sub-surface flow over groundwater contribution at
the forested site might enhance DOM aromaticity due to the release of highly
decomposed and modified organic matter. In contrast to the bog, the peaty
riparian zone is subjected to great water level changes and accelerated
dry–wet cycles, which result in repeated aeration and enhanced decomposition
(Singh et al., 2014).</p>
<sec id="Ch1.S4.SS1">
  <title>Seasonal trends in DOM concentrations and quality</title>
      <p>Although major changes in DOC quality occurred due to hydrological changes
as demonstrated by individual discharge events, seasonal patterns also
occurred. DOC concentrations at the bog site were significantly correlated
with daily mean air temperatures and generally followed the vegetation
period with low concentrations during snowmelt and spring and highest DOC
concentrations in early fall. This strong seasonal effect has been observed
frequently and was ascribed to DOC production and solubility, but also
enhanced litter decay by leaf fall in early fall (Christ and David, 1996;
Singh et al., 2014; Wallin et al., 2015). Nonetheless, at the
forested site especially, this seasonal trend was overprinted by hydrological events,
which generated high DOC concentration peaks up to 45.8 mg L<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in fall
due to rapid mobilization from hydrologically connected source areas.</p>
      <p>All spectrofluorometric indices and PARAFAC components exhibited major
changes during high discharge. Thus they were mainly controlled by
hydrologic (pre)conditions, coinciding with few changes in DOM quality
over the year as observed by Perdrial et al. (2014). Due to predominance of
Norway spruce, pulses of protein-like DOM from leaf fall in the fall (Singh et
al., 2014) would not be expected in our catchment. Between the two sampling
sites, specific differences in PARAFAC component contributions were
identified. The C4 % could be denoted as a bog-derived humic-like
component, while C2 % and C3 % were predominantly forest-derived
humic-like components. The humic-like C1 % and the protein-like C5 %
could not be specifically attributed to one of the sites.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Event DOM characteristics and DOM sources</title>
<sec id="Ch1.S4.SS2.SSS1">
  <title>DOC concentrations</title>
      <p>Organic-rich riparian zones are known to generate high DOC concentrations
(Grabs et al., 2012). As a large part of the organic-rich upper soil layer
is hydrologically connected and contributes to discharge only during events,
high DOC concentrations at the forested site are due to the repeated
flushing of peaty soils in the riparian zone. Additionally, upper organic
layers of shallow hillslope soils may get connected via surface or near-surface flow networks during such events. Therefore, dry preconditions within
the catchment facilitated high DOC concentrations during events of a certain
magnitude when the upper soil layer gets hydrologically connected. The DOC
concentrations at the bog site were less sensitive to rain events and not as
elevated during those events than at the forested site. Here, partly
decreasing concentrations were observed. Due to the usually high water
level, rain events here do not connect additional DOM pools, but lead to
dilution by surface flow or an exhaustion effect (Broder and Biester, 2015).
We conclude that DOC concentration peaks during rain events were mainly
induced by peaty forest soils and not by bogs. Although the latter are
strong C sources to the aquatic, they are less susceptible to rain events.
DOC concentration trends of the bog site were further disentangled in Broder
and Biester (2015).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <title>Snowmelt</title>
      <p>During snowmelt, DOC concentration at both sites were lowest. This has been
reported elsewhere (e.g., Laudon et al., 2004; Clark et al., 2008) and can be
attributed not only to dilution by snow packs, but also to low microbial and
plant activity. The absolute values of chromophore and fluorophore DOM were
also lowest. Overall, spectrofluorometric indices point to rather small
molecular size, which were less aromatic, especially at the forested site.
Additionally, PARAFAC components indicate a strong flush of labile,
protein-like DOM. This characteristic was also more pronounced at the
forested site than at the bog site. The elevated export of a protein-like
fraction, i.e., easily biodegradable DOM (Fellman et al., 2009), can be
explained by less biotic demand and a domination of shallow flow paths
during snowmelt bypassing large, strongly modified and aromatic DOM pools in
the subsurface (Fellman et al., 2009). Also, near-surface freeze–thaw cycles
during winter provide fresh DOM from microbial cell lysis and root
mortality, which is not utilized due to the low productivity (Haei et al.,
2012; Fellman et al., 2009). Differences between the two sites were more
evident in other PARAFAC components. At the forested site a large fraction
of humic-like fluorescence was attributed to C3 %, while C4 % was
absent. C3 % only increased strongly at the forested site during rain
events, while C3 % remained constant at the bog site. This suggests that
component C3 % is predominantly sourced in the upper, organic layer of the
forest soil and is only mobilized during rain events, when these near-surface layers get hydrologically connected, even during snowmelt. As this
component increases the most out of all identified components, higher DOC
concentrations during rain events should be mainly caused by a connection of
near-surface organic-rich layers to the streams, irrespective of the season.
In our study an increase of C3 % coincides with lower SUVA<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> and
higher <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and FI values. This points to a microbially modified,
recalcitrant, but less aromatic DOM fraction of smaller apparent molecular
size, confirming previous descriptions of a largely similar fluorophore
(e.g., Fellman et al., 2008; Singh et al., 2014). Overall, the snowmelt DOM can be
described as smaller, less chromophoric, less aromatic and more
biodegradable due to a higher protein-like fraction, which is more
pronounced at the forested site and has its source in the upper soil layer.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <title>Drought</title>
      <p>A drought period during summer 2013 caused a strong decrease in the bog
water level down to 35 cm depth, and exceptionally low discharge representing
pronounced baseflow conditions. This dry period induced concomitant changes
in DOM quality in stream discharge. While DOC concentrations at both sites
continuously increased, aromaticity and apparent molecular size decreased.
While FI at the bog site remained constant (around 1.55), FI at the forested
site increased during drought up to 1.75, indicating a greater fraction of
microbially derived, strongly modified DOM. Under these drought conditions,
the indices congruently illustrate a less aromatic, smaller, and more microbial
DOM at the peaty forest soils compared to the bog site and to the rest of
the record. This can be explained by a higher contribution of shallow groundwater and decreasing discharge through the peaty surface layers of the riparian zone. Due to the adsorption of larger,
more aromatic compounds to mineral phases, groundwater DOM is typically of
smaller molecular size and less aromatic (Meier et al., 2004; Inamdar et
al., 2012). For the bog site, increasing C1 % and bog-derived
humic-like C4 %, as well as decreasing molecular size, also hints at a DOM source
change toward deeper peat layers. Summarizing the summer drought
fingerprint, DOM during this period approaches characteristics observed for
shallow groundwater at the forested site and resembles DOM from deeper peat
layers at the bog site. This caused a change in DOM quality to smaller, more
microbial and less aromatic components.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <title>Rain events</title>
      <p>The three sampled rain events distributed over spring and fall clearly
differed with respect to observed changes in DOM quality. The spring events
can be differentiated between dry (first event) and wet (second event)
preconditions, while the fall event occurred again under dry preconditions.
The main difference between these two preconditions was a significantly
higher DOC concentration under dry preconditions at both sites. While this
difference in DOM concentration could be attributed to a dilution effect
under wet preconditions at the bog site, notable differences in DOM
quality also occurred: the non-fluorescent DOM fraction was clearly elevated
following dry preconditions. This indicates that under dry preconditions a
specific DOM fraction, which cannot be separated by fluorometric indices, is
exported compared to wet preconditions. As non-fluorescent DOM is probably
more easily degradable DOM like organic acids or products of biotic
activity; this might be a flushing effect, when the upper soil layer gets
hydrologically connected after prolonged aeration, decomposition and
concomitant enrichment of potentially mobile DOM, while under wet
preconditions this DOM fraction gets exhausted. As this flushing effect also
occurred at the dry fall event, the export of this DOM fraction may be
mainly attributed to the hydrologic preconditions and not to the low demand
of labile DOM in early spring, as has been suggested elsewhere (Fellman et
al., 2009). This would further imply that focusing on the protein-like
C5 % as proxy for BDOM (Fellman et al., 2008) neglects a further labile
DOM fraction, which might serve as a nutrient source downstream and does not
correlate with protein-like fluorescence.</p>
      <p>A major seasonal difference between the spring and fall events is that there
were no elevated protein-like DOM exports in fall. However, elevated
contributions of protein-like fluorescence as described before (Singh et
al., 2014) were ascribed to leaf fall at that time of the year. As in our
catchment only coniferous trees occurred, this may not be observed in this
study. However, the contribution of the non-fluorescent fraction in fall was
even higher than in spring. This might be indicative of higher biotic
activity, generating small, non-fluorescent molecules, and demonstrates
inherent limitations of the spectrofluorometric approach of DOM characterization.</p>
      <p><?xmltex \hack{\newpage}?>At the forested site, trends of SUVA<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula>, HIX and <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> indicated a
decreasing aromaticity and apparent molecular size during all rain events.
This is confirmed by an increasing FI up to 1.74, meaning a shift to more
microbial DOM. The DOM was of even smaller apparent molecular size and less
aromatic during the fall event even though trends of the indices were partly
reversed. This reversal was due to the extreme dry preconditions and
prevailing baseflow with a high microbially derived DOM fraction, primarily
originating from groundwater and deep peat. With the onset of a rain event
the organic soil layers get hydrologically connected, leading to a decrease
of microbial- and shallow-groundwater-derived compounds and an increase in
more aromatic DOM originating from the strongly humified organic matter of
the peaty layers. Taking together the trend of the humic-like C1 % at the
forested site during events and drought periods reveals that this component
probably represents a rather microbially processed DOM fraction from
groundwater, while humic-like C2 % and C3 % largely contribute to DOM
under high discharge conditions and therefore represent a DOM sourced in the
upper soil layers. In contrast to other studies (Hood et al., 2006; Inamdar
et al., 2011), a general increase of aromatic DOM during rain events at the
forested site was not recorded. However, there is an increase in humic and microbial DOM
which indicates that the humic-like C3 % is also microbially derived DOM, but
from another source. However, under wet preconditions the decrease in
SUVA<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">254</mml:mn></mml:msub></mml:math></inline-formula> was less distinct and C2 %, indicative of a shift to rather
aromatic structures, contributed more to fDOM than under dry
preconditions. This indicates a stronger aromatic contribution to DOM export
from upper soil layer under wet preconditions at the forested site, while
under dry preconditions longer aeration may yield more modified, less
aromatic DOM that has pooled up during drought.</p>
      <p>Under wet preconditions, DOM quantity and quality differed significantly
between sites, as expressed by significant differences of all indices except
of the PARAFAC component C1 %. At the bog site much less DOC was exported
than at the forested site, indicating an exhaustion, as well as a dilution
effect of the surficial DOM pool here (Broder and Biester, 2015). Hydraulic
conductivities at greater depths, where high DOM concentrations prevail, are
presumably too low for rapid mobilization. Compared to changes at the
forested site, aromaticity only moderately shifted during rain events and
over seasons. However, even though aromaticity was not elevated at the bog
site, <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> indicated DOM of a rather large molecular size being mobilized
under wet preconditions. Also the protein-like component was highest at the
wet spring event, which is explained by flushing of fresh biotic material in
the surface layer. Moreover, during this event overland flow is very likely
(Broder and Biester, 2015), which might further leach larger polymers of
proteins, cellulose or polysaccharides from the living biomass. Also,
Fellman et al. (2009) reported an increase in protein-like DOM export and
related this to lower residence times and low biotic demand in a wetland
catchment. Unfortunately, <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was not monitored in that study. The bog-specific humic-like C4 % component only moderately decreased during rain
events and increased over summer drought at the bog site. This dynamic in
C4 % presumably describes a component from a deeper peat layer, which is
constantly exported over the year and gets diluted by upper surface or
near-surface export during high discharge events. Therefore, this component
may be used as tracer for deep bog porewater, and the observed dilution
effect clearly points out that bogs do not primarily drive variations in DOM
loads of streams.</p>
      <p>Summarizing dynamics during events, DOM quality changes reflect different
contributions of DOM pools depending on hydrologic preconditions and season.
Fresh and labile DOM was exported during spring events at both sites,
especially under wet preconditions at the bog site. Even though aromaticity
of DOM in the studied catchment was high, events showed an increase in
microbial or strongly microbially altered DOM. However, PARAFAC components
show that this assumed microbial component is not only sourced in shallow
groundwater, but that there is an additional microbial DOM pool in the upper
soil layer that is especially mobilized under dry preconditions. Comparing
the two sites, our results demonstrate that not only major dynamics in DOM
quantities, but also variability in DOM quality was mainly driven by the
forested site, i.e., by shallow peaty soils with stronger variations in water
tables and thus hydraulic connectivity of the different layers.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusion</title>
      <p>Variability in stream water DOM quantity and quality was primarily generated
at the forested site with peaty riparian zones and not at the bog site.
Thereby, changes in headwater DOM quality were mainly induced by hydrologic
conditions, which points out the importance of high-resolution studies and
consideration of high-discharge events, which not only generate the highest DOC
concentrations, but export different DOM pools with different chemical
properties and fate in aquatic systems. Especially under wet preconditions,
DOM quantity and quality differed significantly between the bog and the
forested site. There was no clear seasonal trend in DOM quality, but DOM
concentrations at the bog site generally followed the temperature trend.
Nevertheless, the response of DOM quality to changes in hydrologic
conditions also differed, probably depending on season. The export of
protein-like DOM components was specific for snowmelt and for spring events
after wet preconditions at this study site. Those DOM compounds might serve
as an important nutrient source in the aquatic system. Nevertheless, not only
during spring events, but also in fall a non-fluorescent DOM fraction of
small apparent molecular size was exported, especially during events with dry
preconditions that may be of similarly high bioavailability. During drought
periods DOM export was limited to a deeper peat layer at the bog site and
shallow groundwater at the forested site as could be tracked by indices
displaying a microbial DOM signature originating from long DOM residence
times in the soil and peat. At events with wet preconditions, additional
near-surface DOM pools were connected due to increasing water levels in the
catchment. Next to aromatic DOM compounds, a near-surface microbial DOM
fraction was exported during those events, as could be tracked by specific
PARAFAC components. While at the bog site a dilution effect of DOM
concentration sets in under wet preconditions, the forested site generated
the highest DOM concentration peaks under wet preconditions.</p>
      <p>The different spectrofluorometric indices were generally suitable to track
the origin and dynamics of DOM. However, it must be considered that this method
could not display apparent dynamics in a non-fluorescent fraction, triggered
by hydrologic conditions and season. The PARAFAC modeling of different DOM
components proved a useful tool to track export dynamics of different DOM
pools under different seasonal and hydrologic conditions, which could
not have been resolved by the spectrofluorometric indices alone. Moreover, our
study demonstrates the need for approaches tracking DOM sources to
understand DOM export dynamics, while approaches based solely on hypothetic
hydrological compartments, such as surface flow, soil water and groundwater,
may be too simplistic. This understanding of how different DOM pools get
exported might become even more important in view of future changes in the
hydrologic regime due to climate change.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>Data are available as electronic supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/hess-21-2035-2017-supplement" xlink:title="zip">doi:10.5194/hess-21-2035-2017-supplement</inline-supplementary-material>.</bold><?xmltex \hack{\vspace*{-6mm}}?></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p>This work was funded by the NTH graduate school “GeoFluxes” of the Federal
State of Lower Saxony, Germany. We are grateful to the Nationalpark Harz
for giving access to the site. The authors thank Adelina Calean, Petra Schmidt
and Julian Fricke for help with lab and field work. UV-VIS and
fluorescence spectroscopy were carried out in the laboratory of the
Institute of Landscape Ecology at the University of Münster. We thank
Johan Rydberg for helpful contributions and Christian Blodau for scientific
and financial support. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: T. Blume <?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><?xmltex \hack{\newpage}?><?xmltex \hack{\newpage}?><ref-list>
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    <!--<article-title-html>Changes in dissolved organic matter quality in a peatland  and forest headwater stream as a function of seasonality  and hydrologic conditions</article-title-html>
<abstract-html><p class="p">Peatlands and peaty riparian zones are major sources of
dissolved organic matter (DOM), but are poorly understood in terms of export
dynamics and controls thereof. Thereby quality of DOM affects function and
behavior of DOM in aquatic ecosystems, but DOM quality can also help to
track DOM sources and their export dynamics under specific hydrologic
preconditions. The objective of this study was to elucidate controls on
temporal variability in DOM concentration and quality in stream water
draining a bog and a forested peaty riparian zone, particularly considering
drought and storm flow events. DOM quality was monitored using
spectrofluorometric indices for aromaticity (SUVA<sub>254</sub>), apparent
molecular size (<i>S</i><sub>R</sub>) and precursor organic material (FI), as well as
PARAFAC modeling of excitation emission matrices (EEMs).</p><p class="p">Indices for DOM quality exhibited major changes due to different hydrologic
conditions, but patterns were also dependent on season. Stream water at the
forested site with mineral, peaty soils generally exhibited higher
variability in DOM concentrations and quality compared to the outflow of an
ombrotrophic bog, where DOM was less susceptible to changes in hydrologic
conditions. During snowmelt and spring events, near-surface protein-like DOM
pools were exported. A microbial DOM fraction originating from groundwater
and deep peat layers was increasing during drought, while a strongly
microbially altered DOM fraction was also exported by discharge events with
dry preconditions at the forested site. This might be due to accelerated
microbial activity in the peaty riparian zone of the forested site under
these preconditions. Our study demonstrated that DOM export dynamics are not
only a passive mixing of different hydrological sources, but monitoring
studies have to consider that DOM quality depends on hydrologic
preconditions and season. Moreover, the forested peaty riparian zone
generated the most variability in headwater DOM quantity and quality, as could
be tracked by the used spectrofluorometric indices.</p></abstract-html>
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