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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Soil Sci.</journal-id>
<journal-title>Frontiers in Soil Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Soil Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-8619</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsoil.2022.849210</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Soil Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dry-Wet Cycles Affect Nitrous Oxide Emissions Across Aquatic-Terrestrial Interfaces: A Mesocosms Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Pinto</surname> <given-names>Renata</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1623788/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Weigelhofer</surname> <given-names>Gabriele</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/773248/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pucher</surname> <given-names>Matthias</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1745946/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hood-Nowotny</surname> <given-names>Rebecca Clare</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/740391/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bonin</surname> <given-names>Patricia</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Brito</surname> <given-names>Ant&#x000F3;nio Guerreiro</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hein</surname> <given-names>Thomas</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/607975/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Linking Landscape, Environment, Agriculture and Food, Higher Institute of Agronomy, University of Lisbon</institution>, <addr-line>Lisbon</addr-line>, <country>Portugal</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences</institution>, <addr-line>Vienna</addr-line>, <country>Austria</country></aff>
<aff id="aff3"><sup>3</sup><institution>WasserCluster Lunz - Biologische Station, Wasser Cluster Lunz</institution>, <addr-line>Lunz am See</addr-line>, <country>Austria</country></aff>
<aff id="aff4"><sup>4</sup><institution>Aix Marseille Univ, Universit&#x000E9; de Toulon, CNRS, IRD, MIO</institution>, <addr-line>Marseille</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sonja Leitner, International Livestock Research Institute (ILRI), Kenya</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gretchen Maria Gettel, IHE Delft Institute for Water Education, Netherlands; Jianqiu Zheng, Pacific Northwest National Laboratory (DOE), United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Renata Pinto  <email>renatamspinto&#x00040;sapo.pt</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Soil Biogeochemistry &#x00026;amp; Nutrient Cycling, a section of the journal Frontiers in Soil Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>2</volume>
<elocation-id>849210</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Pinto, Weigelhofer, Pucher, Hood-Nowotny, Bonin, Brito and Hein.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Pinto, Weigelhofer, Pucher, Hood-Nowotny, Bonin, Brito and Hein</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract>
<p>Aquatic-terrestrial interfaces may act as biogeochemical hotspots for greenhouse gas emissions, especially when exposed to frequent transitions between wet and dry phases. The study aimed to analyze the dynamics of nitrogen (N) processing along an inundation gradient from floodplain soils to river sediments and identify environmental factors affecting net nitrous oxide (N<sub>2</sub>O) production from different microbial sources. Intact soil and sediment cores were subject to two consecutive drying-rewetting cycles in laboratory experiments. The <sup>15</sup>N isotope pairing technique was used to quantify N<sub>2</sub>O emissions sourced from denitrification and nitrification. We observed enhanced N<sub>2</sub>O emissions from both nitrification and denitrification following drying events. Sites exposed to frequent drying-rewetting cycles appear less affected by drying than hydrologically more stable habitats. Fluxes from nitrification were related to the organic matter content, while fluxes from denitrification were controlled by dissolved organic matter quality changes during the drying-rewetting cycles. This study shows the potential link between carbon metabolism and N<sub>2</sub>O production, combining the effect of drying-rewetting cycles.</p></abstract>
<kwd-group>
<kwd>N<sub>2</sub>O</kwd>
<kwd>nitrification</kwd>
<kwd>denitrification</kwd>
<kwd>drying-rewetting</kwd>
<kwd>sediments</kwd>
<kwd>floodplain</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="0"/>
<equation-count count="2"/>
<ref-count count="65"/>
<page-count count="13"/>
<word-count count="9375"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Freshwater ecosystems play a crucial role in nitrogen (N) processing and may be a significant source of nitrous oxide (N<sub>2</sub>O) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). N<sub>2</sub>O emissions from inland waters remain a major source of uncertainty in global greenhouse gas (GHG) budgets (<xref ref-type="bibr" rid="B3">3</xref>). These uncertainties are in part related to difficulties quantifying emissions from the underlying processes of N<sub>2</sub>O production in aquatic systems, preventing more explicit modeling of N<sub>2</sub>O formation and biogeochemical cycling (<xref ref-type="bibr" rid="B2">2</xref>). Understanding these processes is even more challenging at the aquatic-terrestrial interface, where the biogeochemical responses of both systems are affected by drying-rewetting cycles (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). N<sub>2</sub>O emission peaks have been observed following both drying and rewetting events (hot moments). However, their relevance for global emission estimates has not been quantified yet, as these short-lived peaks can be easily overlooked, and information is scarce (<xref ref-type="bibr" rid="B6">6</xref>). These events of enhanced emissions are not frequent but may contribute more than 50% to annual emissions (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Aquatic-terrestrial interfaces, such as parafluvial zones and floodplain soils, are characterized by highly dynamic hydrological conditions. Therefore, they are considered as natural biogeochemical hotspots, playing a significant role in land-atmosphere fluxes [e.g., (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>)]. N and carbon (C) availability and cycling pathways are strongly influenced by drying-rewetting cycles [e.g., reviewed in Baldwin and Mitchell (<xref ref-type="bibr" rid="B10">10</xref>), Borken and Matzner (<xref ref-type="bibr" rid="B11">11</xref>), Congreves et al. (<xref ref-type="bibr" rid="B12">12</xref>)]. Thus, biogeochemical responses to changes in hydrology and drivers of N<sub>2</sub>O production need to be assessed, considering N<sub>2</sub>O fluxes derived from the co-occurrence of processes.</p>
<p>Pathways of N<sub>2</sub>O production involve the oxidation and reduction of reactive N species, in which N<sub>2</sub>O is produced as an intermediate reaction product. The main variables affecting N<sub>2</sub>O cycling are substrate availability (nitrate, <inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>; nitrite, <inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>; ammonium, <inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>), organic carbon, and dissolved oxygen (<xref ref-type="bibr" rid="B13">13</xref>). Under reducing conditions, incomplete denitrification is likely to be the globally dominant N<sub>2</sub>O generating pathway, favored by elevated <inline-formula><mml:math id="M4"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations and organic carbon availability, while nitrification is favored at higher concentrations of dissolved oxygen and <inline-formula><mml:math id="M5"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (<xref ref-type="bibr" rid="B13">13</xref>). Higher N<sub>2</sub>O emissions following drying and rewetting cycles have been attributed to periods of enhanced microbial activity due to coupled nitrification-denitrification occurring at the boundary of oxic-anoxic environments (<xref ref-type="bibr" rid="B10">10</xref>), whereby their intensity and distribution may be significantly influenced by transient water flows (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Drying stimulates organic matter mineralization and <inline-formula><mml:math id="M6"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> release in the sediments, which is nitrified once oxygen conditions are favorable for nitrification (<xref ref-type="bibr" rid="B15">15</xref>). In turn, the <inline-formula><mml:math id="M7"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> produced can be reduced by denitrifiers which remain active in exposed sediments, due to anoxic microsites during initial stages of drying. With ongoing drought, denitrification is progressively inhibited as the water filled pore space decreases, and <inline-formula><mml:math id="M8"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> tends to accumulate in the sediment, while <inline-formula><mml:math id="M9"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> tends to decrease due to nitrification throughout the dry period (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). Rewetting induces a pulse in mineralization and a release of labile organic carbon and inorganic N accumulated during drying, increasing microbial activities and N turnover rates (<xref ref-type="bibr" rid="B20">20</xref>). Substrates for N<sub>2</sub>O production are also made available from the release of intracellular solutes from cell lysis and/or as part of cell osmoregulation, induced by drying and rewetting events (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>While increases in N and C availability following drying-rewetting cycles are known to occur, for example due to enhanced mineralization (<xref ref-type="bibr" rid="B11">11</xref>), the quality of available substrates may also influence N<sub>2</sub>O fluxes. Evidence suggests dissolved organic matter processing, composition (i.e., aromaticity), and quality are affected by dry-wet cycles (<xref ref-type="bibr" rid="B21">21</xref>), which likely links to N<sub>2</sub>O flux dynamics, with less aromatic compounds contributing to mineralization and N<sub>2</sub>O pulses during these events. Hydrological transitions affect stream metabolism and the composition of dissolved organic matter due to changes in abiotic (e.g., evaporation, leaching of particulate organic matter) and biotic (e.g., microbial uptake) processes (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Stream fragmentation tends to increase dissolved organic matter (DOM) biodegradability with a short pulse of protein-like, autochthonous DOM net release at the beginning of the disconnection (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). This leads to a shift toward a tryptophan-like, non-humified, bioavailable DOM, most likely related to microbial cell lysis and/or DOM exudation under stress conditions (<xref ref-type="bibr" rid="B23">23</xref>). The presence of these protein-like fluorophores has been positively correlated with denitrification rates, as well as N<sub>2</sub>O fluxes (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Linking the quality of labile C compounds to N<sub>2</sub>O dynamics has been recently highlighted as a research gap (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>The aim of this study was to quantify the contribution of nitrification and denitrification to N<sub>2</sub>O emissions in response to drying-rewetting cycles along an inundation gradient, from river sediments (inundated) to parafluvial sediments (intermittently inundated), and floodplain soils (rarely inundated), as well as to identify the main drivers of N<sub>2</sub>O emissions for the different processes. We hypothesized that drying-rewetting cycles enhance N<sub>2</sub>O emissions from both nitrification and incomplete denitrification as they influence not only N availability, but also DOM quality. We explored the potential link between N<sub>2</sub>O dynamics and DOM quality (<xref ref-type="bibr" rid="B14">14</xref>) and hypothesized that changes in the quality and composition of available C substrates due to drying-rewetting cycles should favor N<sub>2</sub>O emissions, with more labile forms supporting higher process rates. The prediction of N<sub>2</sub>O emissions and the relative role of microbial source will benefit from a deeper understanding of the biogeochemical pathways and the context for N<sub>2</sub>O production under varying hydrological conditions.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Site and Experiment Overview</title>
<p>The study area is located in a recently restored area of the Traisen River (48&#x000B0;22.386&#x02032; N, 15&#x000B0;49.613&#x02032; E; LIFE&#x0002B; Traisen project, <ext-link ext-link-type="uri" xlink:href="http://www.life-traisen.at">www.life-traisen.at</ext-link>), one of the Danube tributaries in Austria. The Traisen became heavily modified after the construction of the Altenw&#x000F6;rth hydropower plant in 1976. A river stretch close to the mouth with the Danube was extended by 7.5 km, straightened, and regulated by flood protection dams. These modifications reduced the hydrologic connectivity between river and floodplain, resulting in a loss of natural aquatic and terrestrial habitats.</p>
<p>For the experiments, soil and sediment cores were collected along an inundation gradient consisting of three sites: a permanently inundated site (river sediments), an intermittently inundated site (parafluvial sediments), and a rarely-inundated site (floodplain soil). At each sampling site, 6 intact cores (h = 10&#x02013;15 cm, d = 14 cm) were collected using an iron corer (d = 14 cm) in a total of 18 cores (6 cores per 3 sites). Immediately after sampling, the intact cores were transferred to the mesocosms apparatus used for the incubations (<xref ref-type="fig" rid="F1">Figure 1</xref>) and then transported to the laboratory.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Mesocosm apparatus. Each mesocosms consisted of one fixed part and one removable part. The fixed part consisted of a cylinder (h = 485 mm, outer/inner d = 150/142 mm; A) attached to an open plate at the top (d = 210 mm, t = 20 mm; B) and to a perforated plate at the bottom (d = 210 mm, t = 12 mm; C). Plates B and C had an indentation fitted with a rubber gasket, to ensure that all 3 parts were sealed tightly. The removable part consisted of 2 plates, a top plate and a bottom plate (d = 210 mm, s = 8 mm, D and E, respectively). Plates D and E were fitted with a rubber gasket, to ensure that all parts <bold>(A&#x02013;D)</bold> were sealed tightly during deployment for the gas measurements. Plate D was equipped with the gas sampling apparatus, and was attached to plate B during gas sampling. Plate E was secured to plate C and was removed when the test mesocosms needed to be drained. All mesocosms parts were attached together with lengthwise bolts, screws, nuts, butterfly nuts and washers. The mesocosms were covered with a solid black liner to prevent light exposure.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-02-849210-g0001.tif"/>
</fig>
<p>Intact soil and sediment cores were subject to two consecutive drying-rewetting cycles in laboratory experiments (<xref ref-type="fig" rid="F2">Figure 2</xref>). The <sup>15</sup>N isotope technique was used to quantify the contribution of nitrification and denitrification to N<sub>2</sub>O emissions in response to drying-rewetting cycles.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Schematic diagram of the experimental design and drying-rewetting cycles. The arrows show sampling dates (sampling frequency equal for all cores). Nine cores were kept inundated until the end of the experiment (long inundation cores) and nine cores were subject to two consecutive drying-rewetting cycles (drying-short inundation cores).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-02-849210-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Intact Core Incubations and Laboratory Analysis</title>
<p>Plexiglas mesocosms (485 mm height, 142 mm diameter, covered with black PVC foil) were used for the intact core incubations (for more detailed information on the cores, see <xref ref-type="fig" rid="F1">Figure 1</xref>). For the <sup>15</sup>N-label application, all cores were inundated (total of 4 days), following an initial incubation settling period. The overlying water was enriched with <sup>15</sup><inline-formula><mml:math id="M10"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> to a target value of 110 &#x003BC;mol L<sup>&#x02212;1</sup> (using K<sup>15</sup>NO<sub>3</sub> [98 <sup>15</sup>N atom%] Sigma-Aldrich). A water pump was placed in each mesocosm to ensure complete mixing in the mesocosms and avoid stratification of the water column. <italic>In situ</italic> water was used in all cores.</p>
<p>After this period, a total of nine cores (three cores per three sites) were kept inundated until the end of the experiment (long inundation cores; control). The remaining nine cores (drying-short inundation cores; treatment) were subject to two consecutive drying-rewetting cycles, Cycle 1(C1) and Cycle 2 (C2), respectively. Each cycle consisted of a drying period (14 days) followed by a short inundation period (4 days) (<xref ref-type="fig" rid="F2">Figure 2</xref>). At the end of each short inundation period, the cores were allowed to drain completely from the bottom, mimicking percolation in natural conditions where the top layer that becomes exposed to the atmosphere after inundation. The length of the cycles was set considering N dynamics and enhancement during the drying period [first 10&#x02013;14 days; e.g., (<xref ref-type="bibr" rid="B19">19</xref>)], and increases in microbial activity due to a rapid substrate release and lysis of bacterial cells in the first few days after rewetting [&#x0007E;4 days; e.g., (<xref ref-type="bibr" rid="B15">15</xref>)].</p>
<p>Samples of soil and sediment and N<sub>2</sub>O were taken from all cores at fixed sampling dates in each hydrological cycle (C1 and C2) accounting for the initial and final of each period: on day 1 and day 14 during the drying period, on day 1 and day 4 during the short inundation period (<xref ref-type="fig" rid="F2">Figure 2</xref>). The long inundation cores were equally sampled at the same dates to be compared with the dry-wet effects.</p>
<sec>
<title>Gas Sampling, Deployment Protocol and Analysis</title>
<p>At each sampling date, the mesocosms were closed gas-tight and headspace gas samples were collected at 0, 30, 60, and 90 min deployment time by 60 mL gas-tight syringes transferred to 20 ml gas-tight glass vials (which had been flushed with He and pre-evacuated, crimped with a rubber septa) using a three-way valve connected to the gas sampling apparatus. The vials were over-pressurized and stored upside down to prevent ambient air intrusion and gas leakage until further analysis. All vials were stored and shipped to the Mediterranean Institute of Oceanography (Aix-Marseille Universit&#x000E9;) for the analysis of N<sub>2</sub>O isotopic species concentrations (<sup>44</sup>N<sub>2</sub>O, <sup>45</sup>N<sub>2</sub>O, and <sup>46</sup>N<sub>2</sub>O) using GC-MS (<xref ref-type="bibr" rid="B25">25</xref>). Sample injection was performed using a modified head-space autosampler (TriPlus 300, Thermo Fisher). GC-MS analysis was performed using an Interscience Compact GC system equipped with AS9-HC and AG9-HCT columns.</p>
</sec>
<sec>
<title>Soil and Sediment Sampling and Analysis</title>
<p>The cores were sampled sequentially. At each sampling date, sediment, and soil samples were collected from each core after gas sampling, using a stainless steel corer (drying phase; d = 1 cm) or via a glass tube with a rubber stopper (inundation phase; d = 1 cm), with minimal core disturbance. The cores were sampled at a depth of &#x02248;10 cm. Approximately 8 grams of sample were taken to perform the analyses at each sampling date, and the mass loss during the experiment was accounted for in the calculations. Samples were transferred to 50 ml tubes and stored at 4&#x000B0;C until further analysis. Soil and sediment extracts were analyzed for mineral N (<inline-formula><mml:math id="M11"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>, <inline-formula><mml:math id="M12"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>, <inline-formula><mml:math id="M13"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>), dissolved organic carbon (DOC) and dissolved organic matter (DOM) quality. Mineral N species [0.5 mol L<sup>&#x02212;1</sup> K<sub>2</sub>SO<sub>4</sub> extraction; (<xref ref-type="bibr" rid="B26">26</xref>)] were measured photometrically with a plate reader (Varioskan Flash,Thermo Fischer Scientific, Vaanta, Finland) at 540 nm (<inline-formula><mml:math id="M14"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>, <inline-formula><mml:math id="M15"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>) and 660 nm (<inline-formula><mml:math id="M16"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>). DOC [nanopure water extraction; (<xref ref-type="bibr" rid="B27">27</xref>)] was analyzed on a total carbon analyzer (Sievers 900, GE Analytical Instruments) and DOM quality was determined via fluorescence (excitation-emission spectra EEM) and absorbance spectra (<xref ref-type="bibr" rid="B28">28</xref>). Fluorescence intensity was measured at excitation (Ex) wavelengths from 200 to 450 nm and emission (Em) wavelengths from 250 to 600 nm at 5 nm intervals (1 cm quartz cuvette; Hitachi F-7000 Fluorescence Spectrophotometer). Measurements were blank-corrected against ultra-pure water, corrected against inner-filter effects, and normalized to Raman units. This is commonly corrected with the absorbance-based approach. From an extra absorbance measurement of the same sample (in the photometer), the effects of the absorbance influencing the fluorescence can be calculated and subsequently corrected (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Absorbance scans were performed between 200 and 700 nm at 0.5 nm intervals (5 cm quartz cuvette; Shimadzu UV-1700 UV-VIS Spectrophotometer). Soil and sediment water content (SWC%) was determined on an oven-dry weight basis (105&#x000B0;C for 24 h) and organic matter (OM%) by loss on ignition (450&#x000B0;C for 4 h).</p>
</sec>
<sec>
<title>PARAFAC Analysis</title>
<p>To characterize changes in DOM, fluorescence peaks and indices were calculated using the eemR R package (<xref ref-type="bibr" rid="B31">31</xref>), absorbance parameters and the PARAFAC analysis were derived with the staRdom R package (<xref ref-type="bibr" rid="B32">32</xref>). The freshness index (BIX) is assumed to be an indicator for the presence of recent autochthonous (microbially-derived) DOM production and autotrophic productivity and was calculated using the emission intensity ratio 380/430 nm at an excitation of 310 nm (<xref ref-type="bibr" rid="B33">33</xref>). The humification index (HIX) is used as an indicator of the degree of humification of DOM and was calculated as the peak area under the emission spectra (&#x003A3;435&#x02013;480/&#x003A3;300&#x02013;445 nm) at constant excitation at 254 nm (<xref ref-type="bibr" rid="B34">34</xref>). Excitation spectra at 370 nm were used to calculate the fluorescence index (FI) values from the ratio of intensities emitted at 470/520 nm (<xref ref-type="bibr" rid="B35">35</xref>), with lower values indicating DOM from terrestrial origin (FI &#x0007E; 1.2) and higher values corresponding to autochthonous DOM (FI &#x0007E; 1.8; 25). Fluorescence peaks A and C were measured at Ex/Em = 250&#x02013;260 nm/380&#x02013;480 nm and Ex/Em = 330&#x02013;350/420&#x02013;480 nm, respectively, and peaks B and T were measured at Ex/Em = 270&#x02013;280/300&#x02013;320 nm and Ex/Em = 270&#x02013;280/320&#x02013;350 nm, respectively (<xref ref-type="bibr" rid="B36">36</xref>&#x02013;<xref ref-type="bibr" rid="B38">38</xref>). Rayleigh and Raman scatter bands of first and second order were removed and interpolated. The absolute tolerance in the PARAFAC fitting process was set to 10<sup>&#x02212;11</sup>. We used the leverage of each sample to check for outliers, but we did not identify any. The leverage is a measurement of the influence of a sample on the PARAFAC model. Values of 0 mean that a sample is exactly the average of all samples while a value of 1 means that the sample shares no characteristics with any other. Samples with an outstanding leverage are inspected specifically and if they show especially high noise or e.g., a unique EEM peak, which might be from unclean sample treatment, they are identified as outliers and removed from the sample set (<xref ref-type="bibr" rid="B39">39</xref>). The PARAFAC model validation was done with a split-half comparison. The sample set is split into four subsample sets: A, B, C, D. Subsamples are then combined and compared: AB vs. CD, AC vs. BD, AD vs. BC. This is a cross-validation that allows to identify features that are only present in few samples, by observing differences in the models calculated from different subsample sets. A split-half comparison which shows similar PARAFAC components for all subsets is considered an indicator for a stable model with suitable correction steps and a reasonable number of components (<xref ref-type="bibr" rid="B40">40</xref>). We compared the PARAFAC components of this study to those of other studies using the <ext-link ext-link-type="uri" xlink:href="https://openfluor.lablicate.com/">openfluor.org</ext-link> database (<xref ref-type="bibr" rid="B41">41</xref>). Fluorescence is expressed in Raman units (R.U.).</p>
</sec>
</sec>
<sec>
<title>Calculations</title>
<sec>
<title>N<sub>2</sub>O Fluxes&#x02014;Isotope Pairing Technique</title>
<p>The <sup>15</sup>N tracer based methods are widely applied to quantify denitrification rates by adding <sup>15</sup>N-labeled <inline-formula><mml:math id="M17"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> [<sup>15</sup>(<inline-formula><mml:math id="M18"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>)] and measuring gaseous products after an incubation period. The basis of IPT lies on the fact that the labeled <sup>15</sup><inline-formula><mml:math id="M19"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> can be traced by the production of <sup>14</sup>N<sup>15</sup>N (<sup>29</sup>N<sub>2</sub>, <sup>45</sup>N<sub>2</sub>O) and <sup>15</sup>N<sup>15</sup>N (<sup>30</sup>N<sub>2</sub>, <sup>46</sup>N<sub>2</sub>O) gas, detected over the high atmospheric <sup>14</sup>N<sup>14</sup>N (<sup>28</sup>N<sub>2</sub>, <sup>44</sup>N<sub>2</sub>O), as a result of the redox reaction: 2 <inline-formula><mml:math id="M20"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> &#x0002B; 10 e- &#x0002B; 12 H<sup>&#x0002B;</sup> &#x02192; N<sub>2</sub> &#x0002B; 6 H<sub>2</sub>O. The N<sub>2</sub>O is an intermediate species along the reaction pathway (<inline-formula><mml:math id="M21"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> &#x02192; <inline-formula><mml:math id="M22"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> &#x02192; NO &#x02192; N<sub>2</sub>O &#x02192; N<sub>2</sub>) however it can be the final product if denitrification is incomplete.</p>
<p>Based on the <italic>m/z</italic> (mass divided by charge number of ions) peaks of N<sub>2</sub>O (<italic>m/z</italic> 44, <italic>m/z</italic> 45, <italic>m/z</italic> 46), a revised IPT method was used to estimate N<sub>2</sub>O production rates from denitrification and nitrification (<xref ref-type="bibr" rid="B42">42</xref>). Denitrification of <sup>14</sup><inline-formula><mml:math id="M23"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> and <sup>15</sup><inline-formula><mml:math id="M24"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> includes the production of N<sub>2</sub>O <italic>via</italic> denitrification, which produces <sup>44</sup>N<sub>2</sub>O, <sup>45</sup>N<sub>2</sub>O, and <sup>46</sup>N<sub>2</sub>O molecules. Nitrification of <sup>14</sup><inline-formula><mml:math id="M25"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> produces <sup>44</sup>N<sub>2</sub>O molecules.</p>
<p>The ratio between <sup>14</sup><inline-formula><mml:math id="M26"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> and <sup>15</sup><inline-formula><mml:math id="M27"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> undergoing denitrification (r<sub>14</sub>) was derived from an estimator of r<sub>14</sub>, based on <sup>15</sup>N-N<sub>2</sub>O production (r<sub>14</sub>-N<sub>2</sub>O). Since <sup>15</sup>N-N<sub>2</sub>O was only sourced from denitrification, r<sub>14</sub>-N<sub>2</sub>O is not influenced by anammox (<xref ref-type="bibr" rid="B43">43</xref>). The distribution of <sup>15</sup>N<sub>2</sub>O can be used to estimate r<sub>14</sub> according to Equation 1:</p>
<p>(Equation 1) r<sub>14&#x02212;N2O</sub> = P<sub>45</sub>/2&#x000B7;P<sub>46</sub>, where P<sub>45</sub> and P<sub>46</sub> are the production rates of <sup>45</sup>N<sub>2</sub>O and <sup>46</sup>N<sub>2</sub>O, respectively, and r<sub>14&#x02212;N2O</sub> is an estimator of r<sub>14</sub> based on <sup>15</sup>N<sub>2</sub>O production</p>
<p>Theoretically, the N<sub>2</sub>O produced by nitrification can be calculated from the production rate of <sup>44</sup>N<sub>2</sub>O measured by IRMS ([D<sub>44</sub> &#x0002B; N<sub>44</sub>]<sub>IRMS</sub>), which comprises <sup>44</sup>N<sub>2</sub>O production rate via nitrification (N<sub>44</sub>) and <sup>44</sup>N<sub>2</sub>O production rate via denitrification (D<sub>44</sub>) (Equations 2, 3) (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>(Equation 2) N<sub>44</sub> = ([D<sub>44</sub> &#x0002B; N<sub>44</sub>]<sub>IRMS</sub>)&#x02013;D<sub>44</sub>, where N<sub>44</sub> is the production rate of <sup>44</sup>N<sub>2</sub>O via nitrification, D<sub>44</sub> is the production rate of <sup>44</sup>N<sub>2</sub>O <italic>via</italic> denitrification, and [D<sub>44</sub> &#x0002B; N<sub>44</sub>]<sub>IRMS</sub> is the total production rate of <sup>44</sup>N<sub>2</sub>O measured by IRMS</p>
<p>D<sub>44</sub> is calculated from:</p>
<disp-formula id="E1"><mml:math id="M28"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>Equation</mml:mtext><mml:mn>3</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mtext>D</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mtext>P</mml:mtext></mml:mrow><mml:mrow><mml:mn>45</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mtext>r</mml:mtext></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mtext>N</mml:mtext><mml:mn>2</mml:mn><mml:mtext>O</mml:mtext></mml:mrow></mml:msub><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>The rate of N<sub>2</sub>O formation via denitrification can be calculated as the difference between the total rate of N<sub>2</sub>O formation measured by IRMS ([D<sub>44</sub> &#x0002B; N<sub>44</sub>]<sub>IRMS</sub> &#x0002B; P<sub>45</sub>&#x0002B; P<sub>46</sub>) and Equation 2 (<xref ref-type="bibr" rid="B44">44</xref>).</p>
</sec>
<sec>
<title>Gas Flux Change Rates</title>
<p>The gas flux change rates between drying and short inundation phases and between long inundation and drying and short inundation treatments were determined. The change in N<sub>2</sub>O flux rates (%) was calculated using the average flux values observed for each event (<xref ref-type="bibr" rid="B45">45</xref>):</p>
<disp-formula id="E2"><mml:math id="M29"><mml:mtable columnalign='left'><mml:mtr><mml:mtd><mml:mo stretchy='false'>(</mml:mo><mml:mtext>Equation</mml:mtext><mml:mn>4</mml:mn><mml:mo stretchy='false'>)</mml:mo><mml:mtext>&#x02009;Fluxchange</mml:mtext><mml:mo stretchy='false'>(</mml:mo><mml:mi>&#x00025;</mml:mi><mml:mo stretchy='false'>)</mml:mo><mml:mo>=</mml:mo><mml:mo stretchy='false'>[</mml:mo><mml:mo stretchy='false'>(</mml:mo><mml:msub><mml:mtext>Flux</mml:mtext><mml:mrow><mml:mtext>post</mml:mtext><mml:mo>-</mml:mo><mml:mtext>event</mml:mtext></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x02212;</mml:mo><mml:msub><mml:mtext>Flux</mml:mtext><mml:mrow><mml:mtext>pre</mml:mtext><mml:mo>-</mml:mo><mml:mtext>event</mml:mtext></mml:mrow></mml:msub><mml:mo stretchy='false'>)</mml:mo><mml:mo>/</mml:mo><mml:msub><mml:mtext>Flux</mml:mtext><mml:mrow><mml:mtext>pre</mml:mtext><mml:mo>-</mml:mo><mml:mtext>event</mml:mtext></mml:mrow></mml:msub><mml:mo stretchy='false'>]</mml:mo><mml:mo>&#x000D7;</mml:mo><mml:mo>&#x000A0;</mml:mo><mml:mtext>&#x02009;</mml:mtext><mml:mn>100</mml:mn><mml:mi>&#x00025;</mml:mi><mml:mo>,</mml:mo></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where Flux change (%) is the relative effect of the event on gas flux, Flux<sub>post&#x02212;event</sub> is the rate of peak gas flux following the event, and Flux<sub>pre&#x02212;event</sub> is the rate of gas flux before the event (i.e., drying or short inundation). This approach compares fluxes between consecutive drying and short inundation events.</p>
<p>To compare N<sub>2</sub>O fluxes between the long inundation and drying and short inundation treatments, the changes in gas fluxes were calculated similarly to Equation 4, but using Flux<sub>drying</sub> and Flux<sub>short&#x02212;inundation</sub> (substituting Flux<sub>post&#x02212;event</sub> in each case) and Flux<sub>long&#x02212;inundation</sub> (substituting Flux<sub>pre&#x02212;event</sub>).</p>
</sec>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>The analysis was carried out in the R environment for statistical computing (R version 4.0.; RStudio version 1.2.1335, RStudio, Inc.). A redundancy analysis (RDA) was applied to relate N<sub>2</sub>O fluxes to environmental parameters and determine which explanatory variables best explain the variation in the fluxes (<xref ref-type="bibr" rid="B46">46</xref>). The type II scaling was used as to analyze the correlative relationships between variables. N<sub>2</sub>O fluxes from nitrification and denitrification were entered as species data, and mineral N (<inline-formula><mml:math id="M30"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>, <inline-formula><mml:math id="M31"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>, and <inline-formula><mml:math id="M32"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>), DOC and OM quantity and quality (PARAFAC components, BIX, HIX, FI) were entered in the RDA as explanatory variables. The categorical variables inundation gradient (site), frequency (cycle number), and phase (drying and inundation) were also included as explanatory variables. A forward selection procedure (1,000 permutations) was used to select statistically significant explanatory variables. The resulting model was tested with an ANOVA-like permutation test for RDA (PERMANOVA, 999 permutations). All the aforementioned statistical analyses were computed with the vegan package (<xref ref-type="bibr" rid="B47">47</xref>). <italic>Post-hoc</italic> comparison between groups was performed after a significant result determined by PERMANOVA, using the non-parametric multivariate analog of the t-statistic, with significance determined by permutation [pairwiseAdonis package; (<xref ref-type="bibr" rid="B48">48</xref>)]. To compare the magnitude of the difference between the group means, we computed Cohen&#x00027;s d (or standardized differences), defined as the difference between the means divided by the root mean square of two standard deviations (<xref ref-type="bibr" rid="B49">49</xref>) [rstatix package; (<xref ref-type="bibr" rid="B50">50</xref>)]. Larger <italic>d</italic>-values reflect greater effect sizes and positive d values indicate higher flux values.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Mineral N Content in Soils and Sediments</title>
<p>Initial N-<inline-formula><mml:math id="M33"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations are higher in the floodplain soil and decrease along the inundation gradient, with lower concentrations in river sediments for both control and treatment cores (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 0</xref>). A similar trend observed for N-<inline-formula><mml:math id="M34"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations. Initial N-<inline-formula><mml:math id="M35"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations were lower in the parafluvial sediments (control and treatment cores), and higher in the floodplain soil (control cores) and river sediments (test cores).</p>
<p>Drying significantly increased N-<inline-formula><mml:math id="M36"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations compared to long and short inundation at all sites (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1, 2</xref>). The floodplain soil had significantly higher N-<inline-formula><mml:math id="M37"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations than the parafluvial and river sediments during cycle 1 (all phases; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1, 2</xref>) and cycle 2 (drying phase; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1, 2</xref>). Similarly, N-<inline-formula><mml:math id="M38"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations tended to be higher during the drying phase at all sites (<xref ref-type="fig" rid="F3">Figure 3</xref>) and were significantly higher in the floodplain soil than in the parafluvial and river sediments for both cycle 1 and cycle 2 (all phases; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1, 2</xref>). N-<inline-formula><mml:math id="M39"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations tended to be higher during the drying phases in the river sediments rather than in the floodplain soil and parafluvial sediments, while the opposite was observed during the inundation phases (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1, 2</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Mineral N content in soil and sediment extracts per site (floodplain soil, parafluvial sediments, river sediments) for each phase (long inundation, drying phase, short inundation phase). The data is aggregated by cycle (cycle 1 and 2). For each cycle, the treatment cores were subject to drying (orange; <italic>n</italic> = 6) and short inundation (green; <italic>n</italic> = 6) events. The control cores (blue; <italic>n</italic> = 12) were kept flooded throughout the entire experiment and were equally sampled at the same dates as the treatment cores. Nitrate content was pseudo log transformed for better visibility of range. Error bars are the 95% confidence interval, the bottom and top of the box are the 25th and 75th percentiles, the line inside the box is the 50<sup>th</sup> percentile (median), and any outliers are shown as points.</p></caption>
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</fig>
</sec>
<sec>
<title>OM Content, DOC Content, and DOM Quality in Soils and Sediments</title>
<p>DOC concentration was significantly higher in the floodplain soil than in the other sites (both cycles) and tended to be lower during the short inundation phase in the floodplain soil and river sediments (<xref ref-type="fig" rid="F4">Figure 4</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 3, 4</xref>). OM content (<xref ref-type="fig" rid="F4">Figure 4</xref>) was significantly higher in the floodplain soil than in the river sediments (both cycles; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 3, 4</xref>) and parafluvial sediments (cycle 2; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 3, 4</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>DOC and OM content in soil and sediment extracts per site (floodplain soil, parafluvial sediments, river sediments) for each phase (long inundation, drying phase, short inundation phase). The data is aggregated by cycle (cycle 1 and 2). For each cycle, the treatment cores were subject to drying (orange; <italic>n</italic> = 6) and short inundation (green; <italic>n</italic> = 6) events. The control cores (blue; <italic>n</italic> = 12) were kept flooded throughout the entire experiment and were equally sampled at the same dates as the treatment cores. DOC concentration was pseudo log transformed for better visibility of range. Error bars are the 95% confidence interval, the bottom and top of the box are the 25th and 75th percentiles, the line inside the box is the 50th percentile (median), and any outliers are shown as points.</p></caption>
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</fig>
<p>The higher HIX values indicate a higher degree of humification in the floodplain soil extracts than in the parafluvial and river sediment extracts (all phases). The parafluvial and river sediments present a higher fresh-like to humic-like ratio (BIX) than the floodplain soil. The FI ranges for all sites indicate that DOM is from allochthonous sources (average FI values &#x0007E; 1.2). FI values are generally higher in the drying phase than in the short inundation phase in all sites and for both cycles (<xref ref-type="fig" rid="F5">Figure 5</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>FI and PARAFAC component 3 from soil and sediment extracts per site (floodplain soil, parafluvial sediments, river sediments) for each phase (long inundation, drying phase, short inundation phase). The data is aggregated by cycle (cycle 1 and 2). For each cycle, the treatment cores were subject to drying (orange; <italic>n</italic> = 6) and short inundation (green; <italic>n</italic> = 6) events. The control cores (blue; <italic>n</italic> = 12) were kept flooded throughout the entire experiment and were equally sampled at the same dates as the treatment cores. Error bars are the 95% confidence interval, the bottom and top of the box are the 25th and 75th percentiles, the line inside the box is the 50th percentile (median), and any outliers are shown as points.</p></caption>
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</fig>
<p>The PARAFAC analysis identified 3 components consistent with those previously reported and well-matched with the OpenFluor database (<ext-link ext-link-type="uri" xlink:href="http://www.openfluor.org">http://www.openfluor.org</ext-link>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>). The excitation-emissions regions of each component can be found in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>. The modeled component 1 (C1) is described as a terrestrial, humic-like fluorophore originating from degradation of plant and/or soil derived DOM. Component 2 (C2) is also described as a terrestrial humic-like fluorophore derived from lignin (medium processing) and microbial activity. Component 3 (C3) is described as a labile protein-like fluorophore (tryptophan-like) of microbial origin and recent biological production. The R.U. (components 1&#x02013;3) tended to decrease from the drying phase to the short inundation phase and increased from the short inundation phase to the drying phase at all sites, with less variation between phases for the parafluvial sediments (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 7</xref>). For all treatments, the relative proportion of component 1 and 2 was higher in the floodplain soil (C1% and C2%: &#x0007E;40 and &#x0007E;50%, respectively), than in the parafluvial and river sediments (C1% and C2%: &#x0007E;30 and &#x0007E;40%, respectively), and component 3 was higher for the parafluvial and river sediments (C3%: &#x0007E;30%) than in the floodplain soil (C3%: &#x0007E;10%; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 7</xref>).</p>
</sec>
<sec>
<title>N<sub>2</sub>O Emissions From Nitrification and Denitrification</title>
<p>Despite the typically high variability of N<sub>2</sub>O emissions in both long inundation cores and drying-rewetting cores, there was evidence of higher N<sub>2</sub>O emissions during the drying phase of cycle 2 (<xref ref-type="fig" rid="F6">Figure 6</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 8</xref>). Comparing both phases, N<sub>2</sub>O fluxes derived from nitrification were significantly higher in the drying phase than in the long inundation treatment (<italic>F</italic> = 20.32, <italic>p</italic> = 0.003) in the river sediments during cycle 1. Cycle 2 showed more distinct patterns. N<sub>2</sub>O fluxes from nitrification were significantly higher under the drying phase vs. short inundation phase (<italic>F</italic> = 3.25, <italic>p</italic> = 0.012) in the river sediments. N<sub>2</sub>O fluxes from denitrification were also significantly higher in the drying phase than in the short inundation phase (<italic>F</italic> = 4.83, <italic>p</italic> = 0.015; <italic>F</italic> = 5.95, <italic>p</italic> = 0.018) and in the long inundation (<italic>F</italic> = 6.60, <italic>p</italic> = 0.045; <italic>F</italic> = 5.92, <italic>p</italic> = 0.045) in the floodplain soil and river sediments, respectively.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>N<sub>2</sub>O fluxes derived from nitrification <bold>(A)</bold> and denitrification <bold>(B)</bold> per site (floodplain soil, parafluvial sediments, river sediments), for each phase (long inundation, drying phase, short inundation phase). The data is aggregated by cycle (cycle 1 and 2). For each cycle, the treatment cores were subject to drying (orange; <italic>n</italic> = 6) and short inundation (green; <italic>n</italic> = 6) events. The control cores (blue; <italic>n</italic> = 12) were kept flooded throughout the entire experiment and were equally sampled at the same dates as the treatment cores. Error bars are the 95% confidence interval, the bottom and top of the box are the 25th and 75th percentiles, the line inside the box is the 50th percentile (median), and any outliers are shown as points.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-02-849210-g0006.tif"/>
</fig>
<p>Cohen&#x00027;s d was calculated to compare the effect sizes of the different phases on N<sub>2</sub>O emissions derived from nitrification and denitrification (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 9</xref>). Overall, the effects of drying and short inundation were larger than the long inundation, whereby short inundation had stronger effects during the first cycle (N<sub>2</sub>O emissions derived from nitrification and denitrification), and drying had greater effect size during the second cycle (N<sub>2</sub>O emissions derived from denitrification).</p>
</sec>
<sec>
<title>N<sub>2</sub>O Flux Change Rates</title>
<p>The relative effect of drying and rewetting events on nitrification and denitrification was calculated as the gas flux change rates between long-term inundation and drying-rewetting treatments as well as between the drying phase and short-term inundation. During cycle 1, the short inundation increased N<sub>2</sub>O emissions from denitrification at all sites. Flux changes were highest in river sediments (167%), followed by the parafluvial sediments (125%) and floodplain soil (13%). The highest flux change occurred for nitrification (529%) during the short inundation in the parafluvial sediments. During cycle 2, increases in N<sub>2</sub>O emissions from both nitrification and denitrification were observed at all sites during the drying phase. Flux increases were highest in the floodplain soil (387 and 350%, respectively), followed by the river (180 and 271%, respectively), and parafluvial (38 and 155%, respectively), sediments.</p>
<p>At the sites not frequently exposed to drying-rewetting cycles, i.e., the floodplain soil and river sediments, the fluxes from both nitrification and denitrification were more affected by drying than in the parafluvial site. Flux changes were highest in the floodplain soil (1,947 and 1,100%), followed by the river sediments (720 and 1,013%) and the parafluvial sediments (50 and 211%), for nitrification and denitrification, respectively. During cycle 1, the parafluvial sediments were more impacted by the short inundation event (175 and 260%) than the floodplain soil (&#x02212;6% and 125%) and the river sediments (&#x02212;46 and 60%) for nitrification and denitrification, respectively. During cycle 2, the N<sub>2</sub>O fluxes from nitrification and denitrification decreased at all sites during the short inundation event.</p>
</sec>
<sec>
<title>Environmental Drivers of N<sub>2</sub>O Production</title>
<p>The forward selection procedure indicated that: OM content, DOM availability and quality (DOC, component 3 and FI), the frequency (C1 and C2) and phase (drying and inundation), were the key environmental factors relating N<sub>2</sub>O fluxes (<xref ref-type="fig" rid="F7">Figure 7</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 10</xref>). Approximately 42% of the flux variability could be explained by the selected environmental variables (constrained variance: 42%, unconstrained variance: 58%; <italic>F</italic> = 10.8; <italic>p</italic> = 0.001), with the first axis explaining a significant part of the variance of the response variables (<italic>F</italic> = 75.6; <italic>p</italic> = 0.002). The angles between all vectors on the RDA triplot reflect their linear correlation. Namely, the higher fluxes observed during the drying phase (cycle 2) were related to changes in DOM quality (with respect to denitrification) and to higher DOC and OM contents explaining higher fluxes derived from nitrification, after the first drying-rewetting cycle. Lower N<sub>2</sub>O fluxes during the inundation phase were concurrent with lower FI values.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>RDA ordination triplot (type II scaling&#x02014;correlation plot) of N<sub>2</sub>O fluxes derived from nitrification and denitrification. Response variables are ordinated as blue arrows, quantitative explanatory variables as black arrows and qualitative explanatory variables as gray arrows. Centroids for the long inundation treatment and cycle 1 are given as gray squares for reference.</p></caption>
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</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<sec>
<title>Effects of Drying and Rewetting on N<sub>2</sub>O Emissions</title>
<p>We hypothesized that drying-rewetting cycles in aquatic systems enhance N<sub>2</sub>O from both nitrification and incomplete denitrification as these events affect key variables influencing N<sub>2</sub>O cycling, namely substrate availability and DOM quality. Similar to other studies, <inline-formula><mml:math id="M40"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> tended to be higher during the drying phase and lower during the inundation, while <inline-formula><mml:math id="M41"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> tended to be lower during drying and higher during wet conditions. These shifts are indicative of enhanced N processing rates. The increase in <inline-formula><mml:math id="M42"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> content and decrease of <inline-formula><mml:math id="M43"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> most likely results from OM mineralization and continuous nitrification, throughout the drying period (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Higher denitrification rates have also been detected between the onset of drying as a result of increased net nitrification rates, as well as N mineralization rates (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>Nitrification was an important source of N<sub>2</sub>O emissions. Studies have shown that nitrification rates can be equal or greater than denitrification rates in inland waters (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>), and in saturated wetland soils and after drainage and often plays an underappreciated contributing to N<sub>2</sub>O emissions under these conditions (<xref ref-type="bibr" rid="B27">27</xref>). We observed highly enhanced N<sub>2</sub>O emissions from both nitrification and denitrification following drying events, although these peaks were only apparent after repeated drying during cycle 2. This pattern suggests that the transition from wet to dry phases has a high potential for N<sub>2</sub>O pulses from nitrification and denitrification (<xref ref-type="fig" rid="F6">Figure 6</xref>, cycle 2), especially if these cycles are recurring. This trend has been observed previously in other studies. In soils, the highest N<sub>2</sub>O emission peak intensities have also been shown to occur during the drying phase compared to the wetting (near-saturation) phase and were correlated positively with the amount of water drained (<xref ref-type="bibr" rid="B54">54</xref>). Similarly, enhanced N<sub>2</sub>O emissions were measured during the transition from flooded to dry sediment conditions in a seasonal floodplain lake (<xref ref-type="bibr" rid="B51">51</xref>). The high N processing activity during initial drying was attributed to high spatial heterogeneity in redox conditions. Koschorreck (<xref ref-type="bibr" rid="B51">51</xref>) assumed that the patchy distribution of oxic and anoxic microsites between flooding and sediment drying increased the oxic-anoxic boundary area where coupled nitrification-denitrification could occur, increasing N<sub>2</sub>O emissions.</p>
<p>Drying-rewetting cycles drive environmental gradients, affecting N<sub>2</sub>O production and emission, namely O<sub>2</sub> gradients, and substrate diffusion and availability and release. During these transitions, suboptimal conditions for both nitrification and denitrification can lead to an increase in N<sub>2</sub>O emissions, for example, inhibition of N<sub>2</sub>O reductase by O<sub>2</sub>, which catalyzes the reduction of N<sub>2</sub>O to N<sub>2</sub> during denitrification (<xref ref-type="bibr" rid="B55">55</xref>). Higher processing rates and N<sub>2</sub>O fluxes are often observed when nitrification and denitrification processes are coupled [reviewed in (<xref ref-type="bibr" rid="B6">6</xref>)]. These fluxes are most likely driven by physical mechanisms related to the release of entrapped N<sub>2</sub>O in an initial stage, and sustained by a period of enhanced microbial activity thereafter (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Comparing the different sites, changes in flux rates due to drying point to N<sub>2</sub>O pulses of a smaller magnitude in areas frequently exposed to drying-rewetting cycles, indicating that N<sub>2</sub>O peaks may become less intense after several drying-rewetting cycles (<xref ref-type="bibr" rid="B11">11</xref>). These differences may relate to community compositions which are site specific (i.e., soil, long inundated sediments, temporarily inundated sediments), therefore different microbial associations may be favored at each site, and indicative of functional differences during environmental changes (<xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>We acknowledge the presence of DNRA in the long inundation cores due to favorable conditions for this pathway, namely strictly anaerobic sediments and limited N-<inline-formula><mml:math id="M44"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> supply. However, we consider the influence from this pathway to N<sub>2</sub>O emissions to be negligible compared to emissions from denitrification, as N<sub>2</sub>O is not an intermediate product, but rather is only produced when N-<inline-formula><mml:math id="M45"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> is allowed to accumulate (<xref ref-type="bibr" rid="B13">13</xref>). In these conditions, the complete DNRA process with the end product of <inline-formula><mml:math id="M46"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> might be more efficiency than the incomplete <inline-formula><mml:math id="M47"><mml:msubsup><mml:mrow><mml:mtext>NO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> reduction that produces N<sub>2</sub>O (<xref ref-type="bibr" rid="B42">42</xref>), which is in agreement with the increased N-<inline-formula><mml:math id="M48"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
</sec>
<sec>
<title>DOM Quality and Other Environmental Drivers of N<sub>2</sub>O Production</title>
<p>Drying-rewetting cycles affect C content and quality (e.g., 20) in addition to N availability and N cycling pathways (<xref ref-type="bibr" rid="B11">11</xref>). The variation in N<sub>2</sub>O fluxes was best explained by OM content and availability (nitrification) and DOM quality (denitrification). DOM is a complex mixture of organic compounds and is typically the most abundant source of C (DOC) in aquatic systems (<xref ref-type="bibr" rid="B58">58</xref>), fueling microbial processes, including denitrification (<xref ref-type="bibr" rid="B59">59</xref>). It results from a combination of allochthonous and autochthonous sources and their microbial processing (<xref ref-type="bibr" rid="B60">60</xref>). In rivers, most DOM is derived from allochthonous sources (soil and plant material) (<xref ref-type="bibr" rid="B58">58</xref>). Here, we observed that DOM is more terrestrially derived (FI &#x0007E; 1.2), not only in soil but also in parafluvial and river sediments, although the DOM composition differed between soils and sediments.</p>
<p>Results from the DOM quality support the hypothesis that hydrologically driven changes in DOM favor N<sub>2</sub>O emissions. In this study, the increased N<sub>2</sub>O fluxes from denitrification during the second drying phase were related to DOM quality changes specific to the tryptophan-like peak. This correlation suggests a change in the DOM pool during drying-rewetting cycles. This link seems to originate from the quality of the DOM pool, and related to the dependence on readily available organic carbon, which influences C and N turnover processes. Because most denitrifiers are heterotrophic, the potential for N<sub>2</sub>O production via denitrification increases, with more labile forms of DOC supporting higher denitrification rates [(<xref ref-type="bibr" rid="B13">13</xref>) and references therein; (<xref ref-type="bibr" rid="B61">61</xref>); accepted]. Hence the role of DOM depends not only on the quantity but also on its quality. The variability in hydrological connectivity plays an essential role in DOM composition (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), with protein-like components achieving maximum abundances in the littoral zones (<xref ref-type="bibr" rid="B62">62</xref>). Therefore, in hydrologically dynamic areas, the high availability of protein-like substrates suggests a high DOM turnover by heterotrophic microbes. Indeed, a positive correlation between the presence of protein-like fluorophores and denitrification rates and N<sub>2</sub>O fluxes has been previously observed in fluvial ecosystems (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Our study observed an increase in fluorescence intensity for a protein-like component during transitions from short inundation to the drying phase (<xref ref-type="fig" rid="F5">Figure 5</xref>). Component 3 shows protein-like characteristics similar to freshly produced tryptophan, consistent with others previously reported and well-matched with the Open Fluor database with similarity scores (Tucker&#x00027;s congruency coefficients) of &#x0003E; 0.95. In particular, a similar component was identified in a study investigating the driving role of hydrological connectivity on DOM processing [(<xref ref-type="bibr" rid="B21">21</xref>), <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>]. The study identified periods with disproportionately high rates of DOM processing (hot moments), one of which was characterized by a short pulse of protein-like, autochthonous DOM net release at the beginning of hydrological disconnection. Similarly, other studies have found higher protein-like fluorescence as drought proceeds, indicating a shift to more tryptophan-like, non-humified, bioavailable DOM (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>DOC content was also generally higher during the drying than in the rewetting phase. Increases in DOC quantity and DOM bioavailability have been reported in streams during initial surface drying (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Together with an increase in DOC concentration, these changes in DOM composition are likely related to microbial cell lysis and/or DOM exudation in response to stress conditions (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Therefore, these phases could be considered biogeochemical hot moments (<xref ref-type="bibr" rid="B4">4</xref>). Lower FI fluorescence observed during the inundation phase may indicate that a greater relevance of allochthonous sources exists, most likely originating from soil and sediment leachates (<xref ref-type="bibr" rid="B22">22</xref>). Lower N<sub>2</sub>O emissions were likely the combined result of complete reduction of N<sub>2</sub>O to N<sub>2</sub> by denitrification and exhaustion of NO<sub>3</sub> and/or NO<sub>2</sub>. Overall, evidence suggests that dissolved organic matter processing, composition (i.e., aromaticity), and quality are affected by drying-rewetting cycles. These cycles are linked to higher N<sub>2</sub>O emissions, with fewer aromatic compounds contributing to OM mineralization and N<sub>2</sub>O pulses.</p>
<p>Nitrification was not related to <inline-formula><mml:math id="M49"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> concentrations but to soil and sediment OM content and availability (DOC) during drying. These results suggest that <inline-formula><mml:math id="M50"><mml:msubsup><mml:mrow><mml:mtext>NH</mml:mtext></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x0002B;</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> was provided to nitrification via N mineralization (<xref ref-type="bibr" rid="B52">52</xref>), increasing N<sub>2</sub>O emissions through this process. Although nitrification is a chemo-autotrophic process, organic carbon can be an important regulator of nitrification rates via environmental C/N ratios and competition between heterotrophic and nitrifying bacteria (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). Indeed, DOC availability decreased between drying cycles and the higher N<sub>2</sub>O fluxes observed for nitrification during the second drying phase could be related to a less inhibitory effect of organic carbon.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Hydrological connectivity plays a fundamental role in environmental variables that drive N<sub>2</sub>O production, making hydrologically dynamic areas hotspots for emissions. A critical knowledge gap is understanding the main drivers for N<sub>2</sub>O production originating from co-occurring processes during drying-rewetting cycles, which are affected by a wide range of factors that are intensified during these events, such as moisture conditions, O<sub>2</sub> availability, C and N availability and quality.</p>
<p>Nitrification and denitrification processes co-occur during drying-rewetting phases. Here, we found that the transition from wet to dry phase showed a high potential for large N<sub>2</sub>O pulses. Organic matter content and quality, and the hydrological dynamics are key environmental factors affecting N<sub>2</sub>O fluxes, highlighting the link between the DOM quality and N<sub>2</sub>O dynamics, as well as the driving role of hydrology on both. N<sub>2</sub>O fluxes due to drying appear to be smaller at sites exposed to frequent drying-rewetting cycles than in hydrologically more stable habitats, likely related to community compositions which are site specific; nevertheless, these areas remain active spots for emissions during hydrological changes. Nitrification was a significant source of N<sub>2</sub>O emissions compared to denitrification.</p>
<p>Relevant changes of biogeochemical processes occur during the transitions between hydrological phases, affecting N<sub>2</sub>O dynamics originating from different microbial processes. DOM quality and quantity best explained the variation in N<sub>2</sub>O fluxes originating from denitrification and nitrification, respectively. Similarly to N<sub>2</sub>O peak emissions, short-term DOM changes during drying-rewetting transitions can be easily overlooked but are crucial for N<sub>2</sub>O flux dynamics. Thus, spectroscopic methods should be integrated into biogeochemical monitoring of different hydrological conditions (drying-rewetting cycles) to have a complete perspective of the role of DOM composition on N<sub>2</sub>O emissions. The results from this study point to the link between C metabolism and N<sub>2</sub>O production, providing insight into the effect of drying-rewetting cycles on the potential substrate supply for processes driving N<sub>2</sub>O emissions. This research gap deserves further research, namely studies across systems with different hydrological settings and land uses, to reinforce these findings. As our results suggest, in areas characterized by highly dynamic and extreme hydrological conditions, namely aquatic-terrestrial interfaces, drawdown areas and intermittent lotic and lentic ecosystems, these changes in DOM quality factors potentially play a significant role in N<sub>2</sub>O emissions and are still widely unexplored.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>RP and TH conceived and designed the study. RP conducted the experimental work and performed the laboratory analysis. RH-N and PB assisted with stable isotope methodology and stable isotope analysis and data analysis. RP and MP performed data analysis. RP, GW, and TH wrote the paper with inputs from MP, AB, RH-N, and PB. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>RP was supported by a Ph.D., grant from Funda&#x000E7;&#x000E3;o para a Ci&#x000EA;ncia e a Tecnologia, I.P. (FCT), Portugal, under the Doctoral Programme FLUVIO&#x02014;River Restoration and Management (PD/BD/114181/2016).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We are grateful to Beate Pitzl, Gertraud Steniczka, Katharina Winter, Annette Puritscher, and Corinne Valette for their laboratory assistance and to Giseli Swerts, Elmira Akbari, and Andr&#x000E9; Fonseca for their field assistance. The OMICS platform at the Mediterranean Institute of Oceanography (M.I.O) where biogas analyses were performed is in compliance with ISO9001-2015. We thank Nina Welti for her inputs and support with the stable isotope methodology.</p>
</ack><sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fsoil.2022.849210/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fsoil.2022.849210/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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