Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-5835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Changes in water quality and ecosystem processes at extreme summer low flow of 2018 with high-frequency sensors
Department of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research – UFZ, Brueckstrasse 3a, 39114 Magdeburg, Germany
Chair of Hydrology and River Basin Management, Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Dietrich Borchardt
Department of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research – UFZ, Brueckstrasse 3a, 39114 Magdeburg, Germany
Michael Rode
Department of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research – UFZ, Brueckstrasse 3a, 39114 Magdeburg, Germany
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam-Golm, Germany
Related authors
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025, https://doi.org/10.5194/hess-29-3227-2025, 2025
Short summary
Short summary
The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four different catchments, highlighting the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. The glacier changes over a long timescale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments and significantly outperforming standard SWAT models.
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023, https://doi.org/10.5194/hess-27-4115-2023, 2023
Short summary
Short summary
Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.
Jingshui Huang, Dietrich Borchardt, and Michael Rode
Hydrol. Earth Syst. Sci., 26, 5817–5833, https://doi.org/10.5194/hess-26-5817-2022, https://doi.org/10.5194/hess-26-5817-2022, 2022
Short summary
Short summary
In this study, we set up a water quality model using a 5-year paired high-frequency water quality dataset from a large agricultural stream. The simulations were compared with the 15 min interval measurements and showed very good fits. Based on these, we quantified the N uptake pathway rates and efficiencies at daily, seasonal, and yearly scales. This study offers an overarching understanding of N processing in large agricultural streams across different temporal scales.
Domenico Miglino, Seifeddine Jomaa, Michael Rode, Khim Cathleen Saddi, Francesco Isgrò, and Salvatore Manfreda
Hydrol. Earth Syst. Sci., 29, 4133–4151, https://doi.org/10.5194/hess-29-4133-2025, https://doi.org/10.5194/hess-29-4133-2025, 2025
Short summary
Short summary
Turbidity is a key factor for water quality monitoring. Here, an image-based procedure is tested in a full-scale river monitoring experiment using digital cameras. This approach can enhance our understanding of the real-time status of waterbodies, overcoming the spatial and temporal resolution limitations of existing methods. It also facilitates early-warning systems, advances water research through increased data availability and reduces operating costs.
Anika Große, Alexander J. Reisinger, Nuria Perujo, Patrick Fink, Dietrich Borchardt, and Daniel Graeber
EGUsphere, https://doi.org/10.5194/egusphere-2025-3548, https://doi.org/10.5194/egusphere-2025-3548, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
In a lab study on Florida streams, we altered carbon and nitrogen levels to measure nitrate uptake by biofilms. After 48 hours, nitrate uptake increased, though the biofilm structure stayed the same. Bacteria-dominated biofilms responded to both carbon and nitrogen, while algae-dominated ones reacted more to nitrogen. Biofilms with high wastewater input did not show any changes in nitrate uptake. These findings help explain how streams can reduce pollution after nutrient pulses.
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025, https://doi.org/10.5194/hess-29-3227-2025, 2025
Short summary
Short summary
The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four different catchments, highlighting the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. The glacier changes over a long timescale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments and significantly outperforming standard SWAT models.
Camille Minaudo, Andras Abonyi, Carles Alcaraz, Jacob Diamond, Nicholas J. K. Howden, Michael Rode, Estela Romero, Vincent Thieu, Fred Worrall, Qian Zhang, and Xavier Benito
Earth Syst. Sci. Data, 17, 3411–3430, https://doi.org/10.5194/essd-17-3411-2025, https://doi.org/10.5194/essd-17-3411-2025, 2025
Short summary
Short summary
Many waterbodies undergo nutrient decline, called oligotrophication, globally, but a comprehensive dataset to understand ecosystem responses is lacking. The OLIGOTREND database comprises multi-decadal chlorophyll a and nutrient time series from rivers, lakes, and estuaries with 4.3 million observations from 1894 unique measurement locations. The database provides empirical evidence for oligotrophication responses with a spatial and temporal coverage that exceeds previous efforts.
Alexander Wachholz, James W. Jawitz, and Dietrich Borchardt
Biogeosciences, 21, 3537–3550, https://doi.org/10.5194/bg-21-3537-2024, https://doi.org/10.5194/bg-21-3537-2024, 2024
Short summary
Short summary
Human activities are rivers' main source of nitrogen, causing eutrophication and other hazards. However, rivers can serve as a natural defense mechanism against this by retaining nitrogen. We show that the Elbe River retains more nitrogen during times of high pollution. With improvements in water quality, less nitrogen is retained. We explain this with changed algal and bacterial activities, which correspond to pollution and have many implications for the river and adjacent ecosystems.
Matthias Koschorreck, Norbert Kamjunke, Uta Koedel, Michael Rode, Claudia Schuetze, and Ingeborg Bussmann
Biogeosciences, 21, 1613–1628, https://doi.org/10.5194/bg-21-1613-2024, https://doi.org/10.5194/bg-21-1613-2024, 2024
Short summary
Short summary
We measured the emission of carbon dioxide (CO2) and methane (CH4) from different sites at the river Elbe in Germany over 3 days to find out what is more important for quantification: small-scale spatial variability or diurnal temporal variability. We found that CO2 emissions were very different between day and night, while CH4 emissions were more different between sites. Dried out river sediments contributed to CO2 emissions, while the side areas of the river were important CH4 sources.
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023, https://doi.org/10.5194/hess-27-4115-2023, 2023
Short summary
Short summary
Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.
Michael Rode, Jörg Tittel, Frido Reinstorf, Michael Schubert, Kay Knöller, Benjamin Gilfedder, Florian Merensky-Pöhlein, and Andreas Musolff
Hydrol. Earth Syst. Sci., 27, 1261–1277, https://doi.org/10.5194/hess-27-1261-2023, https://doi.org/10.5194/hess-27-1261-2023, 2023
Short summary
Short summary
Agricultural catchments show elevated phosphorus (P) concentrations during summer low flow. In an agricultural stream, we found that phosphorus in groundwater was a major source of stream water phosphorus during low flow, and stream sediments derived from farmland are unlikely to have increased stream phosphorus concentrations during low water. We found no evidence that riparian wetlands contributed to soluble reactive (SR) P loads. Agricultural phosphorus was largely buffered in the soil zone.
Carolin Winter, Tam V. Nguyen, Andreas Musolff, Stefanie R. Lutz, Michael Rode, Rohini Kumar, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 27, 303–318, https://doi.org/10.5194/hess-27-303-2023, https://doi.org/10.5194/hess-27-303-2023, 2023
Short summary
Short summary
The increasing frequency of severe and prolonged droughts threatens our freshwater resources. While we understand drought impacts on water quantity, its effects on water quality remain largely unknown. Here, we studied the impact of the unprecedented 2018–2019 drought in Central Europe on nitrate export in a heterogeneous mesoscale catchment in Germany. We show that severe drought can reduce a catchment's capacity to retain nitrogen, intensifying the internal pollution and export of nitrate.
Jingshui Huang, Dietrich Borchardt, and Michael Rode
Hydrol. Earth Syst. Sci., 26, 5817–5833, https://doi.org/10.5194/hess-26-5817-2022, https://doi.org/10.5194/hess-26-5817-2022, 2022
Short summary
Short summary
In this study, we set up a water quality model using a 5-year paired high-frequency water quality dataset from a large agricultural stream. The simulations were compared with the 15 min interval measurements and showed very good fits. Based on these, we quantified the N uptake pathway rates and efficiencies at daily, seasonal, and yearly scales. This study offers an overarching understanding of N processing in large agricultural streams across different temporal scales.
Xiaoqiang Yang, Doerthe Tetzlaff, Chris Soulsby, and Dietrich Borchardt
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-239, https://doi.org/10.5194/gmd-2022-239, 2022
Preprint retracted
Short summary
Short summary
We develop the catchment water quality assessment platform HiWaQ v1.0, which is compatible with multiple hydrological model structures. The nitrogen module (HiWaQ-N) and its coupling tests with two contrasting grid-based hydrological models demonstrate the robustness of the platform in estimating catchment N dynamics. With the unique design of the coupling flexibility, HiWaQ can leverage advancements in hydrological modelling and advance integrated catchment water quantity-quality assessments.
Cited articles
Addy, K., Gold, A. J., Loffredo, J. A., Schroth, A. W., Inamdar, S. P., Bowden, W. B., Kellogg, D. Q., and Birgand, F.: Stream response to an extreme drought-induced defoliation event, Biogeochemistry, 140, 199–215, https://doi.org/10.1007/s10533-018-0485-3, 2018.
Ahmadi, B. and Moradkhani, H.: Revisiting hydrological drought propagation and recovery considering water quantity and quality, Hydrological Processes, 33, 1492–1505, https://doi.org/10.1002/hyp.13417, 2019.
Allen, A. P., Gillooly, J. F., and Brown, J. H.: Linking the global carbon cycle to individual metabolism, Functional Ecology, 19, 202–213, https://doi.org/10.1111/j.1365-2435.2005.00952.x, 2005.
Amalfitano, S., Fazi, S., Zoppini, A., Barra Caracciolo, A., Grenni, P., and Puddu, A.: Responses of benthic bacteria to experimental drying in sediments from Mediterranean temporary rivers, Microb. Ecol., 55, 270–279, https://doi.org/10.1007/s00248-007-9274-6, 2008.
APHA: Standard methods for the examination of water and wastewater, edited by: AWWA, and WEF, Washington, DC, ISBN 0875530478, ISBN 9780875530475, 2005.
Bertilsson, S. and Jones, J. B.: 1 – Supply of Dissolved Organic Matter to Aquatic Ecosystems: Autochthonous Sources, in: Aquatic Ecosystems, edited by: Findlay, S. E. G., and Sinsabaugh, R. L., Academic Press, Burlington, 3–24, https://doi.org/10.1016/B978-012256371-3/50002-0, 2003.
BfG: Low-Flow in 2018, Federal Institute of Hydrology, https://doi.org/10.5675/BfG-Niedrigwasserbroschuere_2018, 2019.
Bruesewitz, D. A., Gardner, W. S., Mooney, R. F., Pollard, L., and Buskey, E. J.: Estuarine ecosystem function response to flood and drought in a shallow, semiarid estuary: Nitrogen cycling and ecosystem metabolism, Limnology and Oceanography, 58, 2293–2309, https://doi.org/10.4319/lo.2013.58.6.2293, 2013.
Carberry, L., Roesler, C., and Drapeau, S.: Correcting in situ chlorophyll fluorescence time-series observations for nonphotochemical quenching and tidal variability reveals nonconservative phytoplankton variability in coastal waters, Limnology and Oceanography: Methods, 17, 462–473, https://doi.org/10.1002/lom3.10325, 2019.
Caruso, B. S.: Regional river flow, water quality, aquatic ecological impacts and recovery from drought, Hydrological Sciences Journal, 46, 677–699, https://doi.org/10.1080/02626660109492864, 2001.
Chapra, S. C.: Surface water-quality modeling, Waveland press, ISBN 1577666054, ISBN 9781577666059, 2008.
Chapra, S. C., Boehlert, B., Fant, C., Bierman, V. J., Jr., Henderson, J., Mills, D., Mas, D. M. L., Rennels, L., Jantarasami, L., Martinich, J., Strzepek, K. M., and Paerl, H. W.: Climate Change Impacts on Harmful Algal Blooms in U.S. Freshwaters: A Screening-Level Assessment, Environmental Science & Technology, 51, 8933–8943, https://doi.org/10.1021/acs.est.7b01498, 2017.
Covino, T. P., Bernhardt, E. S., and Heffernan, J. B.: Measuring and interpreting relationships between nutrient supply, demand, and limitation, Freshwater Science, 37, 448–455, https://doi.org/10.1086/699202, 2018.
Crawford, J. T., Stanley, E. H., Dornblaser, M. M., and Striegl, R. G.: CO2 time series patterns in contrasting headwater streams of North America, Aquatic Sciences, 79, 473–486, https://doi.org/10.1007/s00027-016-0511-2, 2017.
Hamilton, D. P., Carey, C. C., Arvola, L., Arzberger, P., Brewer, C., Cole, J. J., Gaiser, E., Hanson, P. C., Ibelings, B. W., Jennings, E., Kratz, T. K., Lin, F.-P., McBride, C. G., David de Marques, M., Muraoka, K., Nishri, A., Qin, B., Read, J. S., Rose, K. C., Ryder, E., Weathers, K. C., Zhu, G., Trolle, D., and Brookes, J. D.: A Global Lake Ecological Observatory Network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological models, Inland Waters, 5, 49–56, https://doi.org/10.5268/IW-5.1.566, 2015.
Hensley, R. T., Kirk, L., Spangler, M., Gooseff, M. N., and Cohen, M. J.: Flow Extremes as Spatiotemporal Control Points on River Solute Fluxes and Metabolism, Journal of Geophysical Research: Biogeosciences, 124, 537–555, https://doi.org/10.1029/2018JG004738, 2019.
Hosen, J. D., Aho, K. S., Appling, A. P., Creech, E. C., Fair, J. H., Hall Jr., R. O., Kyzivat, E. D., Lowenthal, R. S., Matt, S., Morrison, J., Saiers, J. E., Shanley, J. B., Weber, L. C., Yoon, B., and Raymond, P. A.: Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams, Limnology and Oceanography, 64, 1458–1472, https://doi.org/10.1002/lno.11127, 2019.
Huang, J., Borchardt, D., and Rode, M.: How do inorganic nitrogen processing pathways change quantitatively at daily, seasonal, and multiannual scales in a large agricultural stream?, Hydrol. Earth Syst. Sci., 26, 5817–5833, https://doi.org/10.5194/hess-26-5817-2022, 2022.
Huang, J.: Diurnal Metrics, Zenodo [code], https://doi.org/10.5281/zenodo.17435921, 2025.
Hübner, G. and Schwandt, D.: Extreme low flow and water quality – a long-term view on the River Elbe, Erdkunde, 72, 235–251, 2018.
Ionita, M. and Nagavciuc, V.: Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018, Scientific Reports, 10, 13258, https://doi.org/10.1038/s41598-020-70060-8, 2020.
Kamjunke, N., Mages, M., Büttner, O., Marcus, H., and Weitere, M.: Relationship between the elemental composition of stream biofilms and water chemistry – a catchment approach, Environmental Monitoring and Assessment, 187, 432, https://doi.org/10.1007/s10661-015-4664-6, 2015.
Kruskal, W. H. and Wallis, W. A.: Use of ranks in one-criterion variance analysis, Journal of the American statistical Association, 47, 583–621, 1952.
Lake, P. S.: Ecological effects of perturbation by drought in flowing waters, Freshwater Biology, 48, 1161–1172, https://doi.org/10.1046/j.1365-2427.2003.01086.x, 2003.
LHW: Niedrigwasserbewirtschaftungsmodell Untere Bode Endberich, Landesbetrieb für Hochwasserschutz und Wasserwirtschaft Sachsen-Anhalt, 2012.
Lucius, M. A., Johnston, K. E., Eichler, L. W., Farrell, J. L., Moriarty, V. W., and Relyea, R. A.: Using machine learning to correct for nonphotochemical quenching in high-frequency, in vivo fluorometer data, Limnology and Oceanography: Methods, 18, 477–494, https://doi.org/10.1002/lom3.10378, 2020.
Madsen, J. D. and Adams, M. S.: The light and temperature dependence of photosynthesis and respiration in Potamogeton pectinatus L, Aquatic Botany, 36, 23–31, https://doi.org/10.1016/0304-3770(89)90088-0, 1989.
Mastrotheodoros, T., Pappas, C., Molnar, P., Burlando, P., Manoli, G., Parajka, J., Rigon, R., Szeles, B., Bottazzi, M., Hadjidoukas, P., and Fatichi, S.: More green and less blue water in the Alps during warmer summers, Nature Climate Change, 10, 155–161, https://doi.org/10.1038/s41558-019-0676-5, 2020.
Michalak, A. M.: Study role of climate change in extreme threats to water quality, Nature, 535, 349–350, https://doi.org/10.1038/535349a, 2016.
Minaudo, C., Curie, F., Jullian, Y., Gassama, N., and Moatar, F.: QUAL-NET, a high temporal-resolution eutrophication model for large hydrographic networks, Biogeosciences, 15, 2251–2269, https://doi.org/10.5194/bg-15-2251-2018, 2018.
Mitrovic, S. M., Hardwick, L., and Dorani, F.: Use of flow management to mitigate cyanobacterial blooms in the Lower Darling River, Australia, Journal of Plankton Research, 33, 229–241, https://doi.org/10.1093/plankt/fbq094, 2010.
Mosley, L. M., Zammit, B., Leyden, E., Heneker, T. M., Hipsey, M. R., Skinner, D., and Aldridge, K. T.: The Impact of Extreme Low Flows on the Water Quality of the Lower Murray River and Lakes (South Australia), Water Resources Management, 26, 3923–3946, https://doi.org/10.1007/s11269-012-0113-2, 2012.
Mosley, L. M.: Drought impacts on the water quality of freshwater systems; review and integration, Earth-Science Reviews, 140, 203–214, https://doi.org/10.1016/j.earscirev.2014.11.010, 2015.
Muchmore, C. B. and Dziegielewski, B.: Impact of drought on quality of potential water supply sources in the Sangamon River Basin, JAWRA Journal of the American Water Resources Association, 19, 37–46, https://doi.org/10.1111/j.1752-1688.1983.tb04554.x, 1983.
Mühr, B., Kubisch, S., Marx, A., Stötzer, J., Wisotzky, C., Latt, C., Siegmann, F., Glattfelder, M., Mohr, S., and Kunz, M.: Dürre & Hitzewelle Sommer 2018 (Deutschland), CEDIM Forensic Disaster Analysis Group (FDA), 2018.
Odum, H. T.: Primary Production in Flowing Waters1, Limnology and Oceanography, 1, 102–117, https://doi.org/10.4319/lo.1956.1.2.0102, 1956.
Pathak, D., Hutchins, M., Brown, L., Loewenthal, M., Scarlett, P., Armstrong, L., Nicholls, D., Bowes, M., and Edwards, F.: Hourly Prediction of Phytoplankton Biomass and Its Environmental Controls in Lowland Rivers, Water Resources Research, 57, e2020WR028773, https://doi.org/10.1029/2020WR028773, 2021.
Peña-Guerrero, M. D., Nauditt, A., Muñoz-Robles, C., Ribbe, L., and Meza, F.: Drought impacts on water quality and potential implications for agricultural production in the Maipo River Basin, Central Chile, Hydrological Sciences Journal, 65, 1005–1021, https://doi.org/10.1080/02626667.2020.1711911, 2020.
Poulin, C., Antoine, D., and Huot, Y.: Diurnal variations of the optical properties of phytoplankton in a laboratory experiment and their implication for using inherent optical properties to measure biomass, Opt. Express, 26, 711–729, https://doi.org/10.1364/OE.26.000711, 2018.
Riis, T., Levi, P. S., Baattrup-Pedersen, A., Jeppesen, K. G., and Rosenhøj Leth, S.: Experimental drought changes ecosystem structure and function in a macrophyte-rich stream, Aquatic Sciences, 79, 841–853, https://doi.org/10.1007/s00027-017-0536-1, 2017.
Rode, M., Halbedel née Angelstein, S., Anis, M. R., Borchardt, D., and Weitere, M.: Continuous In-Stream Assimilatory Nitrate Uptake from High-Frequency Sensor Measurements, Environmental Science & Technology, 50, 5685–5694, https://doi.org/10.1021/acs.est.6b00943, 2016.
Rosero-López, D., Todd Walter, M., Flecker, A. S., De Bièvre, B., Osorio, R., González-Zeas, D., Cauvy-Fraunié, S., and Dangles, O.: A whole-ecosystem experiment reveals flow-induced shifts in a stream community, Communications Biology, 5, 420, https://doi.org/10.1038/s42003-022-03345-5, 2022.
Seitzinger, S., Harrison, J. A., Böhlke, J. K., Bouwman, A. F., Lowrance, R., Peterson, B., Tobias, C., and Van Drecht, G.: Denitrification across landscapes and waterscapes: a synthesis, Ecol. Appl., 16, 2064–2090, https://doi.org/10.1890/1051-0761(2006)016[2064:dalawa]2.0.co;2, 2006.
Toreti, A., Belward, A., Perez-Dominguez, I., Naumann, G., Luterbacher, J., Cronie, O., Seguini, L., Manfron, G., Lopez-Lozano, R., Baruth, B., van den Berg, M., Dentener, F., Ceglar, A., Chatzopoulos, T., and Zampieri, M.: The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation, Earth's Future, 7, 652–663, https://doi.org/10.1029/2019EF001170, 2019.
Tran, Y. B., Arias-Rodriguez, L. F., and Huang, J.: Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest, Frontiers in Water, 4, https://doi.org/10.3389/frwa.2022.894548, 2022.
Van Loon, A. F.: Hydrological drought explained, WIREs Water, 2, 359–392, https://doi.org/10.1002/wat2.1085, 2015.
van Vliet, M. T. H. and Zwolsman, J. J. G.: Impact of summer droughts on the water quality of the Meuse river, Journal of Hydrology, 353, 1–17, https://doi.org/10.1016/j.jhydrol.2008.01.001, 2008.
Vannote, R. L., Minshall, G. W., Cummins, K. W., Sedell, J. R., and Cushing, C. E.: The River Continuum Concept, Canadian Journal of Fisheries and Aquatic Sciences, 37, 130–137, https://doi.org/10.1139/f80-017, 1980.
von Schiller, D., Bernal, S., Sabater, F. and Martí, E.: A round-trip ticket: the importance of release processes for in-stream nutrient spiraling, Freshw. Sci., 34, 20–30, https://doi.org/10.1086/679015, 2015.
Wilbers, G.-J., Zwolsman, G., Klaver, G., and Hendriks, A. J.: Effects of a drought period on physico-chemical surface water quality in a regional catchment area, Journal of Environmental Monitoring, 11, 1298–1302, https://doi.org/10.1039/B816109G, 2009.
Wollheim, W. M., Bernal, S., Burns, D. A., Czuba, J. A., Driscoll, C. T., Hansen, A. T., Hensley, R. T., Hosen, J. D., Inamdar, S., Kaushal, S. S., Koenig, L. E., Lu, Y. H., Marzadri, A., Raymond, P. A., Scott, D., Stewart, R. J., Vidon, P. G., and Wohl, E.: River network saturation concept: factors influencing the balance of biogeochemical supply and demand of river networks, Biogeochemistry, 141, 503–521, https://doi.org/10.1007/s10533-018-0488-0, 2018.
Zhou, X., Jomaa, S., Yang, X., Merz, R., Wang, Y., and Rode, M.: Exploring the relations between sequential droughts and stream nitrogen dynamics in central Germany through catchment-scale mechanistic modelling, Journal of Hydrology, 614, 128615, https://doi.org/10.1016/j.jhydrol.2022.128615, 2022.
Short summary
Climate change is increasing low flows, yet how streams respond remains poorly understood. Using sensors in a German stream during the extreme 2018 drought, we found hotter water, more algae, and lower oxygen and nitrate levels. Daily oxygen swings intensified, and algae on the riverbed boosted gross primary productivity. Nitrate removal got more efficient. These changes highlight risks to water quality and ecosystems as droughts worsen, aiding efforts to protect rivers in a warming world.
Climate change is increasing low flows, yet how streams respond remains poorly understood. Using...