113 results on '"Marce, Rafael"'
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2. Coupling hydrological and sanitation datasets to simulate wastewater-derived contamination in European rivers: Model development and calibration
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Klink, Janick, Perelló, Laura Aixalà, Abily, Morgan, Saló, Joan, Rodríguez-Roda, Ignasi, Marcé, Rafael, Gernjak, Wolfgang, and Corominas, Lluís
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- 2024
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3. Modeling carbon burial along the land to ocean aquatic continuum: Current status, challenges and perspectives
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Henry, Daniela, Catalán, Núria, Obrador, Biel, and Marcé, Rafael
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- 2024
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4. Process-based modeling for ecosystem service provisioning: Non-linear responses to restoration efforts in a quarry lake under climate change
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Zhan, Qing, de Senerpont Domis, Lisette N., Lürling, Miquel, Marcé, Rafael, Heuts, Tom S., and Teurlincx, Sven
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- 2023
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5. Cross-continental importance of CH4 emissions from dry inland-waters
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Paranaíba, José R., Aben, Ralf, Barros, Nathan, Quadra, Gabrielle, Linkhorst, Annika, Amado, André M., Brothers, Soren, Catalán, Núria, Condon, Jason, Finlayson, Colin M., Grossart, Hans-Peter, Howitt, Julia, Oliveira Junior, Ernandes S., Keller, Philipp S., Koschorreck, Matthias, Laas, Alo, Leigh, Catherine, Marcé, Rafael, Mendonça, Raquel, Muniz, Claumir C., Obrador, Biel, Onandia, Gabriela, Raymundo, Diego, Reverey, Florian, Roland, Fábio, Rõõm, Eva-Ingrid, Sobek, Sebastian, von Schiller, Daniel, Wang, Haijun, and Kosten, Sarian
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- 2022
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6. Major Effects of Alkalinity on the Relationship Between Metabolism and Dissolved Inorganic Carbon Dynamics in Lakes
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Khan, Hares, Laas, Alo, Marcé, Rafael, and Obrador, Biel
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- 2020
7. Hidden treasures : Human-made aquatic ecosystems harbour unexplored opportunities
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Koschorreck, Matthias, Downing, Andrea S., Hejzlar, Josef, Marcé, Rafael, Laas, Alo, Arndt, Witold G., Keller, Philipp S., Smolders, Alfons J. P., van Dijk, Gijs, and Kosten, Sarian
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- 2020
8. Forecasting water temperature in lakes and reservoirs using seasonal climate prediction
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Mercado-Bettín, Daniel, Clayer, Francois, Shikhani, Muhammed, Moore, Tadhg N., Frías, María Dolores, Jackson-Blake, Leah, Sample, James, Iturbide, Maialen, Herrera, Sixto, French, Andrew S., Norling, Magnus Dahler, Rinke, Karsten, and Marcé, Rafael
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- 2021
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9. Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a)
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Frieler, Katja, Volkholz, Jan, Lange, Stefan, Schewe, Jacob, Mengel, Matthias, Lopez, Maria del Rocio Rivas, Otto, Christian, Reyer, Christopher P. O., Karger, Dirk Nikolaus, Malle, Johanna T., Treu, Simon, Menz, Christoph, Blanchard, Julia L., Harrison, Cheryl S., Petrik, Colleen M., Eddy, Tyler D., Ortega-Cisneros, Kelly, Novaglio, Camilla, Rousseau, Yannick, Watson, Reg A., Stock, Charles, Liu, Xiao, Heneghan, Ryan, Tittensor, Derek, Maury, Olivier, Buechner, Matthias, Vogt, Thomas, Wang, Tingting, Sun, Fubao, Sauer, Inga J., Koch, Johannes, Vanderkelen, Inne, Jaegermeyr, Jonas, Mueller, Christoph, Rabin, Sam, Klar, Jochen, del Valle, Iliusi D. Vega, Lasslop, Gitta, Chadburn, Sarah, Burke, Eleanor, Gallego-Sala, Angela, Smith, Noah, Chang, Jinfeng, Hantson, Stijn, Burton, Chantelle, Gaedeke, Anne, Li, Fang, Gosling, Simon N., Schmied, Hannes Mueller, Hattermann, Fred, Wang, Jida, Yao, Fangfang, Hickler, Thomas, Marce, Rafael, Pierson, Don, Thiery, Wim, Mercado-Bettin, Daniel, Ladwig, Robert, Ayala-Zamora, Ana Isabel, Forrest, Matthew, Bechtold, Michel, Frieler, Katja, Volkholz, Jan, Lange, Stefan, Schewe, Jacob, Mengel, Matthias, Lopez, Maria del Rocio Rivas, Otto, Christian, Reyer, Christopher P. O., Karger, Dirk Nikolaus, Malle, Johanna T., Treu, Simon, Menz, Christoph, Blanchard, Julia L., Harrison, Cheryl S., Petrik, Colleen M., Eddy, Tyler D., Ortega-Cisneros, Kelly, Novaglio, Camilla, Rousseau, Yannick, Watson, Reg A., Stock, Charles, Liu, Xiao, Heneghan, Ryan, Tittensor, Derek, Maury, Olivier, Buechner, Matthias, Vogt, Thomas, Wang, Tingting, Sun, Fubao, Sauer, Inga J., Koch, Johannes, Vanderkelen, Inne, Jaegermeyr, Jonas, Mueller, Christoph, Rabin, Sam, Klar, Jochen, del Valle, Iliusi D. Vega, Lasslop, Gitta, Chadburn, Sarah, Burke, Eleanor, Gallego-Sala, Angela, Smith, Noah, Chang, Jinfeng, Hantson, Stijn, Burton, Chantelle, Gaedeke, Anne, Li, Fang, Gosling, Simon N., Schmied, Hannes Mueller, Hattermann, Fred, Wang, Jida, Yao, Fangfang, Hickler, Thomas, Marce, Rafael, Pierson, Don, Thiery, Wim, Mercado-Bettin, Daniel, Ladwig, Robert, Ayala-Zamora, Ana Isabel, Forrest, Matthew, and Bechtold, Michel
- Abstract
This paper describes the rationale and the protocol of the first component of the third simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, http://www.isimip.org, last access: 2 November 2023) and the associated set of climate-related and direct human forcing data (CRF and DHF, respectively). The observation-based climate-related forcings for the first time include high-resolution observational climate forcings derived by orographic downscaling, monthly to hourly coastal water levels, and wind fields associated with historical tropical cyclones. The DHFs include land use patterns, population densities, information about water and agricultural management, and fishing intensities. The ISIMIP3a impact model simulations driven by these observation-based climate-related and direct human forcings are designed to test to what degree the impact models can explain observed changes in natural and human systems. In a second set of ISIMIP3a experiments the participating impact models are forced by the same DHFs but a counterfactual set of atmospheric forcings and coastal water levels where observed trends have been removed. These experiments are designed to allow for the attribution of observed changes in natural, human, and managed systems to climate change, rising CH4 and CO2 concentrations, and sea level rise according to the definition of the Working Group II contribution to the IPCC AR6.
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- 2024
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10. Global Lake Health in the Anthropocene : Societal Implications and Treatment Strategies
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Weyhenmeyer, Gesa A., Chukwuka, Azubuike V., Anneville, Orlane, Brookes, Justin, Carvalho, Carolinne R., Cotner, James B., Grossart, Hans-Peter, Hamilton, David P., Hanson, Paul C., Hejzlar, Josef, Hilt, Sabine, Hipsey, Matthew R., Ibelings, Bas W., Jacquet, Stephan, Kangur, Kuelli, Kragh, Theis, Lehner, Bernhard, Lepori, Fabio, Lukubye, Ben, Marce, Rafael, Mcelarney, Yvonne, Paule-Mercado, Ma. Cristina, North, Rebecca, Rojas-Jimenez, Keilor, Rusak, James A., Sharma, Sapna, Scordo, Facundo, de Senerpont Domis, Lisette N., So, Jonas Stage, Wood, Susanna (Susie) A., Xenopoulos, Marguerite A., Zhou, Yongqiang, Weyhenmeyer, Gesa A., Chukwuka, Azubuike V., Anneville, Orlane, Brookes, Justin, Carvalho, Carolinne R., Cotner, James B., Grossart, Hans-Peter, Hamilton, David P., Hanson, Paul C., Hejzlar, Josef, Hilt, Sabine, Hipsey, Matthew R., Ibelings, Bas W., Jacquet, Stephan, Kangur, Kuelli, Kragh, Theis, Lehner, Bernhard, Lepori, Fabio, Lukubye, Ben, Marce, Rafael, Mcelarney, Yvonne, Paule-Mercado, Ma. Cristina, North, Rebecca, Rojas-Jimenez, Keilor, Rusak, James A., Sharma, Sapna, Scordo, Facundo, de Senerpont Domis, Lisette N., So, Jonas Stage, Wood, Susanna (Susie) A., Xenopoulos, Marguerite A., and Zhou, Yongqiang
- Abstract
The world's 1.4 million lakes (>= 10 ha) provide many ecosystem services that are essential for human well-being; however, only if their health status is good. Here, we reviewed common lake health issues and classified them using a simple human health-based approach to outline that lakes are living systems that are in need of oxygen, clean water and a balanced energy and nutrient supply. The main reason for adopting some of the human health terminology for the lake health classification is to increase the awareness and understanding of global lake health issues. We show that lakes are exposed to various anthropogenic stressors which can result in many lake health issues, ranging from thermal, circulatory, respiratory, nutritional and metabolic issues to infections and poisoning. Of particular concern for human well-being is the widespread lake drying, which is a severe circulatory issue with many cascading effects on lake health. We estimated that similar to 115,000 lakes evaporate twice as much water as they gain from direct precipitation, making them vulnerable to potential drying if inflowing waters follow the drying trend, putting more than 153 million people at risk who live in close vicinity to those lakes. Where lake health issues remain untreated, essential ecosystem services will decline or even vanish, posing a threat to the well-being of millions of people. We recommend coordinated multisectoral and multidisciplinary prevention and treatment strategies, which need to include a follow-up of the progress and an assessment of the resilience of lakes to intensifying threats. Priority should be given to implementing sewage water treatment, mitigating climate change, counteracting introductions of non-native species to lakes and decreasing uncontrolled anthropogenic releases of chemicals into the hydro-, bio-, and atmosphere. Lakes around the world come in an array of sizes, shapes and colors, each telling a unique story of geological history and environment
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- 2024
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11. A conceptual framework for understanding the biogeochemistry of dry riverbeds through the lens of soil science
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Arce, María Isabel, Mendoza-Lera, Clara, Almagro, María, Catalán, Núria, Romaní, Anna M., Martí, Eugènia, Gómez, Rosa, Bernal, Susana, Foulquier, Arnaud, Mutz, Michael, Marcé, Rafael, Zoppini, Annamaria, Gionchetta, Giulia, Weigelhofer, Gabriele, del Campo, Rubén, Robinson, Christopher T., Gilmer, Alan, Rulik, Martin, Obrador, Biel, Shumilova, Oleksandra, Zlatanović, Sanja, Arnon, Shai, Baldrian, Petr, Singer, Gabriel, Datry, Thibault, Skoulikidis, Nikos, Tietjen, Britta, and von Schiller, Daniel
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- 2019
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12. Emissions from dry inland waters are a blind spot in the global carbon cycle
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Marcé, Rafael, Obrador, Biel, Gómez-Gener, Lluís, Catalán, Núria, Koschorreck, Matthias, Arce, María Isabel, Singer, Gabriel, and von Schiller, Daniel
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- 2019
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13. Abundance and Co-Distribution of Widespread Marine Archaeal Lineages in Surface Sediments of Freshwater Water Bodies across the Iberian Peninsula
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Compte-Port, Sergi, Subirats, Jèssica, Fillol, Mireia, Sànchez-Melsió, Alexandre, Marcé, Rafael, Rivas-Ruiz, Pedro, Rosell-Melé, Antoni, and Borrego, Carles M.
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- 2017
14. A tale of pipes and reactors : Controls on the in-stream dynamics of dissolved organic matter in rivers
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Casas-Ruiz, Joan P., Catalán, Núria, Gómez-Gener, Lluís, von Schiller, Daniel, Obrador, Biel, Kothawala, Dolly N., López, Pilar, Sabater, Sergi, and Marcé, Rafael
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- 2017
15. Introduction on Emerging Contaminants in Rivers and Their Environmental Risk
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Mandaric, Ladislav, Celic, Mira, Marcé, Rafael, Petrovic, Mira, Barceló, Damià, Editor-in-chief, Kostianoy, Andrey G., Editor-in-chief, Petrovic, Mira, editor, Sabater, Sergi, editor, and Elosegi, Arturo, editor
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- 2016
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16. Assessing Ecological Integrity in Large Reservoirs According to the Water Framework Directive
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Marcé, Rafael, Armengol, Joan, Navarro, Enrique, Barceló, Damià, Editor-in-chief, Kostianoy, Andrey G., Editor-in-chief, Munné, Antoni, editor, Ginebreda, Antoni, editor, and Prat, Narcís, editor
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- 2016
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17. Chapter 11 - Oxygen
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Marcé, Rafael, Gómez-Gener, Lluís, and Carey, Cayelan C.
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- 2024
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18. Sources of skill in lake temperature, discharge and ice-off seasonal forecasting tools
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Clayer, Francois, Jackson-Blake, Leah, Mercado-Bettin, Daniel, Shikhani, Muhammed, French, Andrew, Moore, Tadhg, Sample, James, Norling, Magnus, Frias, Maria-Dolores, Herrera, Sixto, de Eyto, Elvira, Jennings, Eleanor, Rinke, Karsten, van der Linden, Leon, Marce, Rafael, Clayer, Francois, Jackson-Blake, Leah, Mercado-Bettin, Daniel, Shikhani, Muhammed, French, Andrew, Moore, Tadhg, Sample, James, Norling, Magnus, Frias, Maria-Dolores, Herrera, Sixto, de Eyto, Elvira, Jennings, Eleanor, Rinke, Karsten, van der Linden, Leon, and Marce, Rafael
- Abstract
Despite high potential benefits, the development of seasonal forecasting tools in the water sector has been slower than in other sectors. Here we assess the skill of seasonal forecasting tools for lakes and reservoirs set up at four sites in Australia and Europe. These tools consist of coupled hydrological catchment and lake models forced with seasonal meteorological forecast ensembles to provide probabilistic predictions of seasonal anomalies in water discharge, temperature and ice-off. Successful implementation requires a rigorous assessment of the tools' predictive skill and an apportionment of the predictability between legacy effects and input forcing data. To this end, models were forced with two meteorological datasets from the European Centre for Medium-Range Weather Forecasts (ECMWF), the seasonal forecasting system, SEAS5, with 3-month lead times and the ERA5 reanalysis. Historical skill was assessed by comparing both model outputs, i.e. seasonal lake hindcasts (forced with SEAS5), and pseudo-observations (forced with ERA5). The skill of the seasonal lake hindcasts was generally low although higher than the reference hindcasts, i.e. pseudo-observations, at some sites for certain combinations of season and variable. The SEAS5 meteorological predictions showed less skill than the lake hindcasts. In fact, skilful lake hindcasts identified for selected seasons and variables were not always synchronous with skilful SEAS5 meteorological hindcasts, raising questions on the source of the predictability. A set of sensitivity analyses showed that most of the forecasting skill originates from legacy effects, although during winter and spring in Norway some skill was coming from SEAS5 over the 3-month target season. When SEAS5 hindcasts were skilful, additional predictive skill originates from the interaction between legacy and SEAS5 skill. We conclude that lake forecasts forced with an ensemble of boundary conditions resampled from historical meteorology are currentl
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- 2023
19. When Water Vanishes : Magnitude and Regulation of Carbon Dioxide Emissions from Dry Temporary Streams
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Gómez-Gener, Lluís, Obrador, Biel, Marcé, Rafael, Acuña, Vicenç, Catalán, Núria, Casas-Ruiz, Joan Pere, Sabater, Sergi, Muñoz, Isabel, and von Schiller, Daniel
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- 2016
20. Drought-induced discontinuities in the source and degradation of dissolved organic matter in a Mediterranean river
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Casas-Ruiz, Joan P., Tittel, Jörg, von Schiller, Daniel, Catalán, Núria, Obrador, Biel, Gómez-Gener, Lluís, Zwirnmann, Elke, Sabater, Sergi, and Marcé, Rafael
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- 2016
21. El Niño southern oscillation and seasonal drought drive riparian input dynamics in a Mediterranean stream
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Sanpera-Calbet, Isis, Acuña, Vicenç, Butturini, Andrea, Marcé, Rafael, and Muñoz, Isabel
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- 2016
22. Hot spots for carbon emissions from Mediterranean fluvial networks during summer drought
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Gómez-Gener, Lluís, Obrador, Biel, von Schiller, Daniel, Marcé, Rafael, Casas-Ruiz, Joan Pere, Proia, Lorenzo, Acuña, Vicenç, Catalán, Núria, Muñoz, Isabel, and Koschorreck, Matthias
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- 2015
23. The Llobregat River Basin: A Paradigm of Impaired Rivers Under Climate Change Threats
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Marcé, Rafael, Honey-Rosés, Jordi, Manzano, Andreu, Moragas, Lucas, Catllar, Bernardette, Sabater, Sergi, Sabater, Sergi, editor, Ginebreda, Antoni, editor, and Barceló, Damià, editor
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- 2012
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24. In-Stream Nutrient Flux and Retention in Relation to Land Use in the Llobregat River Basin
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Aguilera, Rosana, Sabater, Sergi, Marcé, Rafael, Sabater, Sergi, editor, Ginebreda, Antoni, editor, and Barceló, Damià, editor
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- 2012
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25. Dams and Reservoirs in the Lower Ebro River and Its Effects on the River Thermal Cycle
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Prats, Jordi, Armengol, Joan, Marcé, Rafael, Sánchez-Juny, Martí, Dolz, Josep, Barceló, Damià, editor, and Petrovic, Mira, editor
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- 2011
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26. On non-Eltonian methods of hunting Cladocera, or impacts of the introduction of planktivorous fish on zooplankton composition and clear-water phase occurrence in a Mediterranean reservoir
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Ordóñez, Jaime, Armengol, Joan, Moreno-Ostos, Enrique, Caputo, Luciano, García, Juan Carlos, Marcé, Rafael, Martens, K., editor, Naselli-Flores, Luigi, editor, and Rossetti, Giampaolo, editor
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- 2010
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27. Water Quality in Reservoirs Under a Changing Climate
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Marcé, Rafael, Armengol, Joan, Sabater, Sergi, editor, and Barceló, Damià, editor
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- 2010
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28. Modelling the emerging pollutant diclofenac with the GREAT-ER model: Application to the Llobregat River Basin
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Aldekoa, Joana, Medici, Chiara, Osorio, Victoria, Pérez, Sandra, Marcé, Rafael, Barceló, Damià, and Francés, Félix
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- 2013
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29. The combined impact of land use change and aquaculture on sediment and water quality in oligotrophic Lake Rupanco (North Patagonia, Chile, 40.8°S)
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León-Muñoz, Jorge, Echeverría, Cristian, Marcé, Rafael, Riss, Wolfgang, Sherman, Bradford, and Iriarte, Jose Luis
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- 2013
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30. Examining the Demand for Ecosystem Services: The Value of Stream Restoration for Drinking Water Treatment Managers in the Llobregat River, Spain
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Honey-Rosés, Jordi, Acuña, Vicenç, Bardina, Mònica, Brozović, Nicholas, Marcé, Rafael, Munné, Antoni, Sabater, Sergi, Termes, Montserrat, Valero, Fernando, Vega, Àlex, and Schneider, Daniel W.
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- 2013
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31. Global increase in methane production under future warming of lake bottom waters
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Jansen, Joachim, Woolway, Richard Iestyn, Kraemer, Benjamin M., Albergel, Clement, Bastviken, David, Weyhenmeyer, Gesa A., Marce, Rafael, Sharma, Sapna, Sobek, Sebastian, Tranvik, Lars J., Perroud, Marjorie, Golub, Malgorzata, Moore, Tadhg N., Vinna, Love Raman, La Fuente, Sofia, Grant, Luke, Pierson, Don C., Thiery, Wim, Jennings, Eleanor, Jansen, Joachim, Woolway, Richard Iestyn, Kraemer, Benjamin M., Albergel, Clement, Bastviken, David, Weyhenmeyer, Gesa A., Marce, Rafael, Sharma, Sapna, Sobek, Sebastian, Tranvik, Lars J., Perroud, Marjorie, Golub, Malgorzata, Moore, Tadhg N., Vinna, Love Raman, La Fuente, Sofia, Grant, Luke, Pierson, Don C., Thiery, Wim, and Jennings, Eleanor
- Abstract
Lakes are significant emitters of methane to the atmosphere, and thus are important components of the global methane budget. Methane is typically produced in lake sediments, with the rate of methane production being strongly temperature dependent. Local and regional studies highlight the risk of increasing methane production under future climate change, but a global estimate is not currently available. Here, we project changes in global lake bottom temperatures and sediment methane production rates from 1901 to 2099. By the end of the 21st century, lake bottom temperatures are projected to increase globally, by an average of 0.86-2.60 degrees C under Representative Concentration Pathways (RCPs) 2.6-8.5, with greater warming projected at lower latitudes. This future warming of bottom waters will likely result in an increase in methane production rates of 13%-40% by the end of the century, with many low-latitude lakes experiencing an increase of up to 17 times the historical (1970-1999) global average under RCP 8.5. The projected increase in methane production will likely lead to higher emissions from lakes, although the exact magnitude of the emission increase requires more detailed regional studies.
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- 2022
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32. A framework for ensemble modelling of climate change impacts on lakes worldwide : the ISIMIP Lake Sector
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Golub, Malgorzata, Thiery, Wim, Marce, Rafael, Pierson, Don, Vanderkelen, Inne, Mercado-Bettin, Daniel, Woolway, R. Iestyn, Grant, Luke, Jennings, Eleanor, Kraemer, Benjamin M., Schewe, Jacob, Zhao, Fang, Frieler, Katja, Mengel, Matthias, Bogomolov, Vasiliy Y., Bouffard, Damien, Cote, Marianne, Couture, Raoul-Marie, Debolskiy, Andrey, V, Droppers, Bram, Gal, Gideon, Guo, Mingyang, Janssen, Annette B. G., Kirillin, Georgiy, Ladwig, Robert, Magee, Madeline, Moore, Tadhg, Perroud, Marjorie, Piccolroaz, Sebastiano, Vinnaa, Love Raaman, Schmid, Martin, Shatwell, Tom, Stepanenko, Victor M., Tan, Zeli, Woodward, Bronwyn, Yao, Huaxia, Adrian, Rita, Allan, Mathew, Anneville, Orlane, Arvola, Lauri, Atkins, Karen, Boegman, Leon, Carey, Cayelan, Christianson, Kyle, de Eyto, Elvira, DeGasperi, Curtis, Grechushnikova, Maria, Hejzlar, Josef, Joehnk, Klaus, Jones, Ian D., Laas, Alo, Mackay, Eleanor B., Mammarella, Ivan, Markensten, Hampus, McBride, Chris, Ozkundakci, Deniz, Potes, Miguel, Rinke, Karsten, Robertson, Dale, Rusak, James A., Salgado, Rui, van der Linden, Leon, Verburg, Piet, Wain, Danielle, Ward, Nicole K., Wollrab, Sabine, Zdorovennova, Galina, Golub, Malgorzata, Thiery, Wim, Marce, Rafael, Pierson, Don, Vanderkelen, Inne, Mercado-Bettin, Daniel, Woolway, R. Iestyn, Grant, Luke, Jennings, Eleanor, Kraemer, Benjamin M., Schewe, Jacob, Zhao, Fang, Frieler, Katja, Mengel, Matthias, Bogomolov, Vasiliy Y., Bouffard, Damien, Cote, Marianne, Couture, Raoul-Marie, Debolskiy, Andrey, V, Droppers, Bram, Gal, Gideon, Guo, Mingyang, Janssen, Annette B. G., Kirillin, Georgiy, Ladwig, Robert, Magee, Madeline, Moore, Tadhg, Perroud, Marjorie, Piccolroaz, Sebastiano, Vinnaa, Love Raaman, Schmid, Martin, Shatwell, Tom, Stepanenko, Victor M., Tan, Zeli, Woodward, Bronwyn, Yao, Huaxia, Adrian, Rita, Allan, Mathew, Anneville, Orlane, Arvola, Lauri, Atkins, Karen, Boegman, Leon, Carey, Cayelan, Christianson, Kyle, de Eyto, Elvira, DeGasperi, Curtis, Grechushnikova, Maria, Hejzlar, Josef, Joehnk, Klaus, Jones, Ian D., Laas, Alo, Mackay, Eleanor B., Mammarella, Ivan, Markensten, Hampus, McBride, Chris, Ozkundakci, Deniz, Potes, Miguel, Rinke, Karsten, Robertson, Dale, Rusak, James A., Salgado, Rui, van der Linden, Leon, Verburg, Piet, Wain, Danielle, Ward, Nicole K., Wollrab, Sabine, and Zdorovennova, Galina
- Abstract
Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven projections of future climate for a relatively small number of lakes. As a result, our understanding of the effects of climate change on lakes is fragmentary, based on scattered studies using different data sources and modelling protocols, and mainly focused on individual lakes or lake regions. This has precluded identification of the main impacts of climate change on lakes at global and regional scales and has likely contributed to the lack of lake water quality considerations in policy-relevant documents, such as the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). Here, we describe a simulation protocol developed by the Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios for ISIMIP phases 2 and 3. The protocol prescribes lake simulations driven by climate forcing from gridded observations and different Earth system models under various representative greenhouse gas concentration pathways (RCPs), all consistently bias-corrected on a 0.5 degrees x 0.5 degrees global grid. In ISIMIP phase 2, 11 lake models were forced with these data to project the thermal structure of 62 well-studied lakes where data were available for calibration under historical conditions, and using uncalibrated models for 17 500 lakes defined for all global grid cells containing lakes. In ISIMIP phase 3, this approach was expanded to consider more lakes, more models, and more processes. The ISIMIP Lake Sector is the largest international effo
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- 2022
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33. Opportunities for seasonal forecasting to support water management outside the tropics
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Jackson-Blake, Leah A., Clayer, Francois, de Eyto, Elvira, French, Andrew S., Dolores Frias, Maria, Mercado-Bettin, Daniel, Moore, Tadhg, Puertolas, Laura, Poole, Russell, Rinke, Karsten, Shikhani, Muhammed, van der Linden, Leon, Marce, Rafael, Jackson-Blake, Leah A., Clayer, Francois, de Eyto, Elvira, French, Andrew S., Dolores Frias, Maria, Mercado-Bettin, Daniel, Moore, Tadhg, Puertolas, Laura, Poole, Russell, Rinke, Karsten, Shikhani, Muhammed, van der Linden, Leon, and Marce, Rafael
- Abstract
Advance warning of seasonal conditions has the potential to assist water management in planning and risk mitigation, with large potential social, economic, and ecological benefits. In this study, we explore the value of seasonal forecasting for decision-making at five case study sites located in extratropical regions. The forecasting tools used integrate seasonal climate model forecasts with freshwater impact models of catchment hydrology, lake conditions (temperature, water level, chemistry, and ecology), and fish migration timing and were co-developed together with water managers. To explore the decision-making value of forecasts, we carried out a qualitative assessment of (1) how useful forecasts would have been for a problematic past season and (2) the relevance of any windows of opportunity (seasons and variables where forecasts are thought to perform well) for management. Overall, water managers were optimistic about the potential for improved decision-making and identified actions that could be taken based on forecasts. However, there was often a mismatch between those variables that could best be predicted and those which would be most useful for management. Reductions in forecast uncertainty and a need to develop practical, hands-on experience were identified as key requirements before forecasts would be used in operational decision-making. Seasonal climate forecasts provided little added value to freshwater forecasts in these extratropical study sites, and we discuss the conditions under which seasonal climate forecasts with only limited skill are most likely to be worth incorporating into freshwater forecasting workflows.
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- 2022
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34. The Effect of River Water Circulation on the Distribution and Functioning of Reservoir Microbial Communities as Determined by a Relative Distance Approach
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Šimek, Karel, Comerma, Marta, García, Juan-Carlos, Nedoma, Jiří, Marcé, Rafael, and Armengol, Joan
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- 2011
35. The Role of Allochthonous Inputs of Dissolved Organic Carbon on the Hypolimnetic Oxygen Content of Reservoirs
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Marcé, Rafael, Moreno-Ostos, Enrique, López, Pilar, and Armengol, Joan
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- 2008
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36. A calibration strategy for dynamic succession models including several phytoplankton groups
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Rigosi, Anna, Marcé, Rafael, Escot, Camelo, and Rueda, Francisco J.
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- 2011
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37. Tailoring dam structures to water quality predictions in new reservoir projects: Assisting decision-making using numerical modeling
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Marcé, Rafael, Moreno-Ostos, Enrique, García-Barcina, José M <ce:sup loc='post">a</ce:sup>, and Armengol, Joan
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- 2010
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38. Driving factors of the phytoplankton functional groups in a deep Mediterranean reservoir
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Becker, Vanessa, Caputo, Luciano, Ordóñez, Jaime, Marcé, Rafael, Armengol, Joan, Crossetti, Luciane O., and Huszar, Vera L.M.
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- 2010
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39. Phenological shifts in lake stratification under climate change
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Woolway, R. Iestyn, Sharma, Sapna, Weyhenmeyer, Gesa A., Debolskiy, Andrey, Golub, Malgorzata, Mercado-Bettin, Daniel, Perroud, Marjorie, Stepanenko, Victor, Tan, Zeli, Grant, Luke, Ladwig, Robert, Mesman, Jorrit P., Moore, Tadhg N., Shatwell, Tom, Vanderkelen, Inne, Austin, Jay A., DeGasperi, Curtis L., Dokulil, Martin, La Fuente, Sofia, Mackay, Eleanor B., Schladow, S. Geoffrey, Watanabe, Shohei, Marce, Rafael, Pierson, Don, Thiery, Wim, Jennings, Eleanor, Woolway, R. Iestyn, Sharma, Sapna, Weyhenmeyer, Gesa A., Debolskiy, Andrey, Golub, Malgorzata, Mercado-Bettin, Daniel, Perroud, Marjorie, Stepanenko, Victor, Tan, Zeli, Grant, Luke, Ladwig, Robert, Mesman, Jorrit P., Moore, Tadhg N., Shatwell, Tom, Vanderkelen, Inne, Austin, Jay A., DeGasperi, Curtis L., Dokulil, Martin, La Fuente, Sofia, Mackay, Eleanor B., Schladow, S. Geoffrey, Watanabe, Shohei, Marce, Rafael, Pierson, Don, Thiery, Wim, and Jennings, Eleanor
- Abstract
One of the most important physical characteristics driving lifecycle events in lakes is stratification. Already subtle variations in the timing of stratification onset and break-up (phenology) are known to have major ecological effects, mainly by determining the availability of light, nutrients, carbon and oxygen to organisms. Despite its ecological importance, historic and future global changes in stratification phenology are unknown. Here, we used a lake-climate model ensemble and long-term observational data, to investigate changes in lake stratification phenology across the Northern Hemisphere from 1901 to 2099. Under the high-greenhouse-gas-emission scenario, stratification will begin 22.0 +/- 7.0 days earlier and end 11.3 +/- 4.7 days later by the end of this century. It is very likely that this 33.3 +/- 11.7 day prolongation in stratification will accelerate lake deoxygenation with subsequent effects on nutrient mineralization and phosphorus release from lake sediments. Further misalignment of lifecycle events, with possible irreversible changes for lake ecosystems, is also likely.
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- 2021
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40. The relevance of environment vs. composition on dissolved organic matter degradation in freshwaters
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Catalan, Nuria, Pastor, Ada, Borrego, Carles M., Casas-Ruiz, Joan Pere, Hawkes, Jeffrey A., Gutierrez, Carmen, von Schiller, Daniel, Marce, Rafael, Catalan, Nuria, Pastor, Ada, Borrego, Carles M., Casas-Ruiz, Joan Pere, Hawkes, Jeffrey A., Gutierrez, Carmen, von Schiller, Daniel, and Marce, Rafael
- Abstract
Dissolved organic matter (DOM) composition exerts a direct control on its degradation and subsequent persistence in aquatic ecosystems. Yet, under certain conditions, the degradation patterns of DOM cannot be solely explained by its composition, highlighting the relevance of environmental conditions for DOM degradation. Here, we experimentally assessed the relative influence of composition vs. environment on DOM degradation by performing degradation bioassays using three contrasting DOM sources inoculated with a standardized bacterial inoculum under five distinct environments. The DOM degradation kinetics modeled using reactivity continuum models showed that composition was more important than environment in determining the bulk DOM decay patterns. Changes in DOM composition resulted from the interaction between DOM source and environment. The role of environment was stronger on shaping the bacterial community composition, but the intrinsic nature of the DOM source exerted stronger control on the DOM degradation function.
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- 2021
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41. GLOBAL-FATE (version 1.0.0): A geographical information system (GIS)-based model for assessing contaminants fate in the global river network
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Font, Carme, Bregoli, Francesco, Acuna, Vicenc, Sabater, Sergi, Marce, Rafael, Font, Carme, Bregoli, Francesco, Acuna, Vicenc, Sabater, Sergi, and Marce, Rafael
- Abstract
Contains fulltext : 214387.pdf (publisher's version ) (Open Access)
- Published
- 2019
42. A universal bacterial inoculum for dissolved organic carbon biodegradation experiments in freshwaters
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Pastor, Ada, Catalan, Nuria, Nagar, Nupur, Light, Tricia, Borrego, Carles M., and Marce, Rafael
- Subjects
RELEASE ,GROWTH EFFICIENCY ,BIOAVAILABILITY ,DIVERSITY ,RIVER ,MICROBIAL COMMUNITIES ,AQUATIC SYSTEMS ,DEGRADATION ,LAKE WATER ,MATTER - Abstract
Dissolved organic carbon (DOC) is one of the largest biologically available sources of organic C in aquatic ecosystems, and its dynamics have implications for local and global C cycling. Usually, DOC biodegradation is assessed in laboratory incubations using native microbial communities as inoculum. The use of native inocula might hamper the comparability of biodegradation rates across systems and obstructs the identification of other controls on DOC biodegradation. Here, we propose the use of the Standardized Bacterial Inoculum (SBI) in experiments of freshwater DOC degradation that would allow for the assessment of the potential degradability of DOC and identification of the drivers of degradation without interferences from the diverse metabolic capabilities of native communities. The SBI is composed of six bacterial strains that grow easily under laboratory conditions and showed better DOC degradation performance than the single strains separately. The SBI performance was tested on simple C sources, humic acids, and natural organic matter from a range of freshwater ecosystems. The fraction and rates of C-substrates degradation by the SBI was consistently replicated under oxic and anoxic conditions. Moreover, DOC degradation rates by the SBI were equivalent to those of the native communities. Finally, the SBI consumed up to 31% of natural DOC from a variety of lakes, rivers, and peatlands over a 28-d period. Overall, the use of the SBI in future DOC degradation experiments will improve comparability among studies and will allow for the separation of effects caused by intrinsic DOC properties from those caused by heterogeneous microbial assemblages.
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- 2018
43. Temperature Effects Explain Continental Scale Distribution of Cyanobacterial Toxins
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Mantzouki, Evanthia, Lurling, Miquel, Fastner, Jutta, Domis, Lisette de Senerpont, Wilk-Wozniak, Elzbieta, Koreiviene, Judita, Seelen, Laura, Teurlincx, Sven, Verstijnen, Yvon, Krzton, Wojciech, Walusiak, Edward, Karosiene, Jurate, Kasperoviciene, Jurate, Savadova, Ksenija, Vitonyte, Irma, Cillero-Castro, Carmen, Budzynska, Agnieszka, Goldyn, Ryszard, Kozak, Anna, Rosinska, Joanna, Szelag-Wasielewska, Elzbieta, Domek, Piotr, Jakubowska-Krepska, Natalia, Kwasizur, Kinga, Messyasz, Beata, Pelechata, Aleksandra, Pelechaty, Mariusz, Kokocinski, Mikolaj, Garcia-Murcia, Ana, Real, Monserrat, Romans, Elvira, Noguero-Ribes, Jordi, Parreno Duque, David, Fernandez-Moran, Elisabeth, Karakaya, Nusret, Haggqvist, Kerstin, Demir, Nilsun, Beklioglu, Meryem, Filiz, Nur, Levi, Eti E., Iskin, Ugur, Bezirci, Gizem, Tavsanoglu, Ulku Nihan, Ozhan, Koray, Gkelis, Spyros, Panou, Manthos, Fakioglu, Ozden, Avagianos, Christos, Kaloudis, Triantafyllos, Celik, Kemal, Yilmaz, Mete, Marce, Rafael, Catalán, Núria, Bravo, Andrea Garcia, Buck, Moritz, Colom-Montero, William, Mustonen, Kristiina, Pierson, Don, Yang, Yang, Raposeiro, Pedro M., Goncalves, Vitor, Antoniou, Maria G., Tsiarta, Nikoletta, McCarthy, Valerie, Perello, Victor C., Feldmann, Tonu, Laas, Alo, Panksep, Kristel, Tuvikene, Lea, Gagala, Ilona, Mankiewicz-Boczek, Joana, Yagci, Meral Apaydin, Cinar, Sakir, Capkin, Kadir, Yagci, Abdulkadir, Cesur, Mehmet, Bilgin, Fuat, Bulut, Cafer, Uysal, Rahmi, Obertegger, Ulrike, Boscaini, Adriano, Flaim, Giovanna, Salmaso, Nico, Cerasino, Leonardo, Richardson, Jessica, Visser, Petra M., Verspagen, Jolanda M. H., Karan, Tunay, Soylu, Elif Neyran, Maraslioglu, Faruk, Napiorkowska-Krzebietke, Agnieszka, Ochocka, Agnieszka, Pasztaleniec, Agnieszka, Antao-Geraldes, Ana M., Vasconcelos, Vitor, Morais, Joao, Vale, Micaela, Koker, Latife, Akcaalan, Reyhan, Albay, Meric, Maronic, Dubravka Spoljaric, Stevic, Filip, Pfeiffer, Tanja Zuna, Fonvielle, Jeremy, Straile, Dietmar, Rothhaupt, Karl-Otto, Hansson, Lars-Anders, Urrutia Cordero, Pablo, Blaha, Ludek, Geris, Rodan, Frankova, Marketa, Kocer, Mehmet Ali Turan, Alp, Mehmet Tahir, Remec-Rekar, Spela, Elersek, Tina, Triantis, Theodoros, Zervou, Sevasti-Kiriaki, Hiskia, Anastasia, Haande, Sigrid, Skjelbred, Birger, Madrecka, Beata, Nemova, Hana, Drastichova, Iveta, Chomova, Lucia, Edwards, Christine, Sevindik, Tugba Ongun, Tunca, Hatice, OEnem, Burcin, Aleksovski, Boris, Krstic, Svetislav, Vucelic, Itana Bokan, Nawrocka, Lidia, Salmi, Pauliina, Machado-Vieira, Danielle, de Oliveira, Alinne Gurjao, Delgado-Martin, Jordi, Garcia, David, Cereijo, Jose Luis, Goma, Joan, Trapote, Mari Carmen, Vegas-Vilarrubia, Teresa, Obrador, Biel, Grabowska, Magdalena, Karpowicz, Maciej, Chmura, Damian, Ubeda, Barbara, Angel Galvez, Jose, Ozen, Arda, Christoffersen, Kirsten Seestern, Warming, Trine Perlt, Kobos, Justyna, Mazur-Marzec, Hanna, Perez-Martinez, Carmen, Ramos-Rodriguez, Eloisa, Arvola, Lauri, Alcaraz-Parraga, Pablo, Toporowska, Magdalena, Pawlik-Skowronska, Barbara, Niedzwiecki, Michal, Peczula, Wojciech, Leira, Manel, Hernandez, Armand, Moreno-Ostos, Enrique, Maria Blanco, Jose, Rodriguez, Valeriano, Juan Montes-Perez, Jorge, Palomino, Roberto L., Rodriguez-Perez, Estela, Carballeira, Rafael, Camacho, Antonio, Picazo, Antonio, Rochera, Carlos, Santamans, Anna C., Ferriol, Carmen, Romo, Susana, Miguel Soria, Juan, Dunalska, Julita, Sienska, Justyna, Szymanski, Daniel, Kruk, Marek, Kostrzewska-Szlakowska, Iwona, Jasser, Iwona, Zutinic, Petar, Udovic, Marija Gligora, Plenkovic-Moraj, Andelka, Frak, Magdalena, Bankowska-Sobczak, Agnieszka, Wasilewicz, Michal, Ozkan, Korhan, Maliaka, Valentini, Kangro, Kersti, Grossart, Hans-Peter, Paerl, Hans W., Carey, Cayelan C., Ibelings, Bas W., Mantzouki, Evanthia, Lurling, Miquel, Fastner, Jutta, Domis, Lisette de Senerpont, Wilk-Wozniak, Elzbieta, Koreiviene, Judita, Seelen, Laura, Teurlincx, Sven, Verstijnen, Yvon, Krzton, Wojciech, Walusiak, Edward, Karosiene, Jurate, Kasperoviciene, Jurate, Savadova, Ksenija, Vitonyte, Irma, Cillero-Castro, Carmen, Budzynska, Agnieszka, Goldyn, Ryszard, Kozak, Anna, Rosinska, Joanna, Szelag-Wasielewska, Elzbieta, Domek, Piotr, Jakubowska-Krepska, Natalia, Kwasizur, Kinga, Messyasz, Beata, Pelechata, Aleksandra, Pelechaty, Mariusz, Kokocinski, Mikolaj, Garcia-Murcia, Ana, Real, Monserrat, Romans, Elvira, Noguero-Ribes, Jordi, Parreno Duque, David, Fernandez-Moran, Elisabeth, Karakaya, Nusret, Haggqvist, Kerstin, Demir, Nilsun, Beklioglu, Meryem, Filiz, Nur, Levi, Eti E., Iskin, Ugur, Bezirci, Gizem, Tavsanoglu, Ulku Nihan, Ozhan, Koray, Gkelis, Spyros, Panou, Manthos, Fakioglu, Ozden, Avagianos, Christos, Kaloudis, Triantafyllos, Celik, Kemal, Yilmaz, Mete, Marce, Rafael, Catalán, Núria, Bravo, Andrea Garcia, Buck, Moritz, Colom-Montero, William, Mustonen, Kristiina, Pierson, Don, Yang, Yang, Raposeiro, Pedro M., Goncalves, Vitor, Antoniou, Maria G., Tsiarta, Nikoletta, McCarthy, Valerie, Perello, Victor C., Feldmann, Tonu, Laas, Alo, Panksep, Kristel, Tuvikene, Lea, Gagala, Ilona, Mankiewicz-Boczek, Joana, Yagci, Meral Apaydin, Cinar, Sakir, Capkin, Kadir, Yagci, Abdulkadir, Cesur, Mehmet, Bilgin, Fuat, Bulut, Cafer, Uysal, Rahmi, Obertegger, Ulrike, Boscaini, Adriano, Flaim, Giovanna, Salmaso, Nico, Cerasino, Leonardo, Richardson, Jessica, Visser, Petra M., Verspagen, Jolanda M. H., Karan, Tunay, Soylu, Elif Neyran, Maraslioglu, Faruk, Napiorkowska-Krzebietke, Agnieszka, Ochocka, Agnieszka, Pasztaleniec, Agnieszka, Antao-Geraldes, Ana M., Vasconcelos, Vitor, Morais, Joao, Vale, Micaela, Koker, Latife, Akcaalan, Reyhan, Albay, Meric, Maronic, Dubravka Spoljaric, Stevic, Filip, Pfeiffer, Tanja Zuna, Fonvielle, Jeremy, Straile, Dietmar, Rothhaupt, Karl-Otto, Hansson, Lars-Anders, Urrutia Cordero, Pablo, Blaha, Ludek, Geris, Rodan, Frankova, Marketa, Kocer, Mehmet Ali Turan, Alp, Mehmet Tahir, Remec-Rekar, Spela, Elersek, Tina, Triantis, Theodoros, Zervou, Sevasti-Kiriaki, Hiskia, Anastasia, Haande, Sigrid, Skjelbred, Birger, Madrecka, Beata, Nemova, Hana, Drastichova, Iveta, Chomova, Lucia, Edwards, Christine, Sevindik, Tugba Ongun, Tunca, Hatice, OEnem, Burcin, Aleksovski, Boris, Krstic, Svetislav, Vucelic, Itana Bokan, Nawrocka, Lidia, Salmi, Pauliina, Machado-Vieira, Danielle, de Oliveira, Alinne Gurjao, Delgado-Martin, Jordi, Garcia, David, Cereijo, Jose Luis, Goma, Joan, Trapote, Mari Carmen, Vegas-Vilarrubia, Teresa, Obrador, Biel, Grabowska, Magdalena, Karpowicz, Maciej, Chmura, Damian, Ubeda, Barbara, Angel Galvez, Jose, Ozen, Arda, Christoffersen, Kirsten Seestern, Warming, Trine Perlt, Kobos, Justyna, Mazur-Marzec, Hanna, Perez-Martinez, Carmen, Ramos-Rodriguez, Eloisa, Arvola, Lauri, Alcaraz-Parraga, Pablo, Toporowska, Magdalena, Pawlik-Skowronska, Barbara, Niedzwiecki, Michal, Peczula, Wojciech, Leira, Manel, Hernandez, Armand, Moreno-Ostos, Enrique, Maria Blanco, Jose, Rodriguez, Valeriano, Juan Montes-Perez, Jorge, Palomino, Roberto L., Rodriguez-Perez, Estela, Carballeira, Rafael, Camacho, Antonio, Picazo, Antonio, Rochera, Carlos, Santamans, Anna C., Ferriol, Carmen, Romo, Susana, Miguel Soria, Juan, Dunalska, Julita, Sienska, Justyna, Szymanski, Daniel, Kruk, Marek, Kostrzewska-Szlakowska, Iwona, Jasser, Iwona, Zutinic, Petar, Udovic, Marija Gligora, Plenkovic-Moraj, Andelka, Frak, Magdalena, Bankowska-Sobczak, Agnieszka, Wasilewicz, Michal, Ozkan, Korhan, Maliaka, Valentini, Kangro, Kersti, Grossart, Hans-Peter, Paerl, Hans W., Carey, Cayelan C., and Ibelings, Bas W.
- Abstract
Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.
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- 2018
- Full Text
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44. Dry habitats sustain high CO2 emissions from temporary ponds across seasons
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Obrador, Biel, von Schiller, Daniel, Marce, Rafael, Gomez-Gener, Lluis, Koschorreck, Matthias, Borrego, Carles, Catalan, Nuria, Obrador, Biel, von Schiller, Daniel, Marce, Rafael, Gomez-Gener, Lluis, Koschorreck, Matthias, Borrego, Carles, and Catalan, Nuria
- Abstract
Despite the increasing understanding of the magnitude and drivers of carbon gas emissions from inland waters, the relevance of water fluctuation and associated drying on their dynamics is rarely addressed. Here, we quantified CO2 and CH4 fluxes from a set of temporary ponds across seasons. The ponds were in all occasion net CO2 emitters irrespective of the presence or absence of water. While the CO2 fluxes were in the upper range of emissions for freshwater lentic systems, CH4 fluxes were mostly undetectable. Dry habitats substantially contributed to these emissions and were always a source of CO2, whereas inundated habitats acted either as a source or a sink of atmospheric CO2 along the year. Higher concentrations of coloured and humic organic matter in water and sediment were linked to higher CO2 emissions. Composition of the sediment microbial community was related both to dissolved organic matter concentration and composition, but we did not find a direct link with CO2 fluxes. The presence of methanogenic archaea in most ponds suggested the potential for episodic CH4 production and emission. Our results highlight the need for spatially and temporally inclusive approaches that consider the dry phases and habitats to characterize carbon cycling in temporary systems.
- Published
- 2018
- Full Text
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45. Effect of small water retention structures on diffusive CO2 and CH4 emissions along a highly impounded river
- Author
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Gómez-Gener, Lluís, Gubau, Marina, von Schiller, Daniel, Marce, Rafael, Obrador, Biel, Gómez-Gener, Lluís, Gubau, Marina, von Schiller, Daniel, Marce, Rafael, and Obrador, Biel
- Abstract
The impoundment of running waters through the construction of large dams is recognised as one of the most important factors determining the transport, transformation, and outgassing of carbon (C) in fluvial networks. However, the effects of small and very small water retention structures (SWRS) on the magnitude and spatiotemporal patterns of C emissions are still unknown, even though SWRS are the most common type of water retention structure causing river fragmentation worldwide. Here we evaluated and compared diffusive carbon dioxide (CO2) and methane (CH4) emissions from river sections impounded by SWRS and from their adjacent free-flowing sections along a highly impounded river. Emissions from impounded river sections (mean [SE] = 17.7 [2.8] and 0.67 [0.14] mmol m(-2)d(-1), for CO2 and CH4, respectively) never exceeded those from their adjacent free-flowing river sections (230.6 [49.7] and 2.14 [0.54] mmol m(-2)d(-1)). We attribute this finding to the reduced turbulence in impounded river sections induced by SWRS compared to free-flowing river sections (i.e., physical driver). Likewise, the presence of SWRS favoured an increase of the concentration of CH4 in impounded waters, but this increase was not sufficient to cause a significant influence in the CH4 efflux from the downstream free-flowing river sections. By contrast, this influenced the larger-scale longitudinal patterns of dissolved CH4, which exhibited a dear shifting pattern along the study stretch, modulated by variables associated with the presence of SWRS, such as higher water residence times, higher sedimentation rates, and higher temperatures. Overall, our results show that the presence of SWRS can modify the concentrations of C gases in highly impounded rivers but exerts a minor influence on diffusive C emissions.
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- 2018
- Full Text
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46. Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
- Author
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Mantzouki, Evanthia, Campbell, James, van Loon, Emiel, Visser, Petra, Konstantinou, Iosif, Antoniou, Maria, Giuliani, Gregory, Machado-Vieira, Danielle, de Oliveira, Alinne Gurjao, Maronic, Dubravka Spoljaric, Stevic, Filip, Pfeiffer, Tanja Zuna, Vucelic, Itana Bokan, Zutinic, Petar, Udovic, Marija Gligora, Plenkovic-Moraj, Andelka, Tsiarta, Nikoletta, Blaha, Ludek, Geris, Rodan, Frankova, Marketa, Christoffersen, Kirsten Seestern, Warming, Trine Perlt, Feldmann, Tonu, Laas, Alo, Panksep, Kristel, Tuvikene, Lea, Kangro, Kersti, Haggqvist, Kerstin, Salmi, Pauliina, Arvola, Lauri, Fastner, Jutta, Straile, Dietmar, Rothhaupt, Karl-Otto, Fonvielle, Jeremy, Grossart, Hans-Peter, Avagianos, Christos, Kaloudis, Triantafyllos, Triantis, Theodoros, Zervou, Sevasti-Kiriaki, Hiskia, Anastasia, Gkelis, Spyros, Panou, Manthos, McCarthy, Valerie, Perello, Victor C., Obertegger, Ulrike, Boscaini, Adriano, Flaim, Giovanna, Salmaso, Nico, Cerasino, Leonardo, Koreiviene, Judita, Karosiene, Jurate, Kasperoviciene, Jurate, Savadova, Ksenija, Vitonyte, Irma, Haande, Sigrid, Skjelbred, Birger, Grabowska, Magdalena, Karpowicz, Maciej, Chmura, Damian, Nawrocka, Lidia, Kobos, Justyna, Mazur-Marzec, Hanna, Alcaraz-Parraga, Pablo, Wilk-Wozniak, Elzbieta, Krzton, Wojciech, Walusiak, Edward, Gagala, Ilona, Mankiewicz-Boczek, Joana, Toporowska, Magdalena, Pawlik-Skowronska, Barbara, Niedzwiecki, Michal, Peczula, Wojciech, Napiorkowska-Krzebietke, Agnieszka, Dunalska, Julita, Sienska, Justyna, Szymanski, Daniel, Kruk, Marek, Budzynska, Agnieszka, Goldyn, Ryszard, Kozak, Anna, Rosinska, Joanna, Szelag-Wasielewska, Elzbieta, Domek, Piotr, Jakubowska-Krepska, Natalia, Kwasizur, Kinga, Messyasz, Beata, Pelechata, Aleksandra, Pelechaty, Mariusz, Kokocinski, Mikolaj, Madrecka, Beata, Kostrzewska-Szlakowska, Iwona, Frak, Magdalena, Bankowska-Sobczak, Agnieszka, Wasilewicz, Michal, Ochocka, Agnieszka, Pasztaleniec, Agnieszka, Jasser, Iwona, Antao-Geraldes, Ana M., Leira, Manel, Hernandez, Armand, Vasconcelos, Vitor, Morais, Joao, Vale, Micaela, Raposeiro, Pedro M., Goncalves, Vitor, Aleksovski, Boris, Krstic, Svetislav, Nemova, Hana, Drastichova, Iveta, Chomova, Lucia, Remec-Rekar, Spela, Elersek, Tina, Delgado-Martin, Jordi, Garcia, David, Luis Cereijo, Jose, Goma, Joan, Carmen Trapote, Mari, Vegas-Vilarrubia, Teresa, Obrador, Biel, Garcia-Murcia, Ana, Real, Monserrat, Romans, Elvira, Noguero-Ribes, Jordi, Parreno Duque, David, Fernandez-Moran, Elisabeth, Ubeda, Barbara, Angel Galvez, Jose, Marce, Rafael, Catalan, Nuria, Perez-Martinez, Carmen, Ramos-Rodriguez, Eloisa, Cillero-Castro, Carmen, Moreno-Ostos, Enrique, Maria Blanco, Jose, Rodriguez, Valeriano, Juan Montes-Perez, Jorge, Palomino, Roberto L., Rodriguez-Perez, Estela, Carballeira, Rafael, Camacho, Antonio, Picazo, Antonio, Rochera, Carlos, Santamans, Anna C., Ferriol, Carmen, Romo, Susana, Soria, Juan Miguel, Hansson, Lars-Anders, Urrutia-Cordero, Pablo, Ozen, Arda, Bravo, Andrea G., Buck, Moritz, Colom-Montero, William, Mustonen, Kristiina, Pierson, Don, Yang, Yang, Verspagen, Jolanda M. H., Domis, Lisette N. de Senerpont, Seelen, Laura, Teurlincx, Sven, Verstijnen, Yvon, Lurling, Miquel, Maliaka, Valentini, Faassen, Elisabeth J., Latour, Delphine, Carey, Cayelan C., Paerl, Hans W., Torokne, Andrea, Karan, Tunay, Demir, Nilsun, Beklioglu, Meryem, Filiz, Nur, Levi, Eti E., Iskin, Ugur, Bezirci, Gizem, Tavsanoglu, Ulku Nihan, Celik, Kemal, Ozhan, Koray, Karakaya, Nusret, Kocer, Mehmet Ali Turan, Yilmaz, Mete, Maraslioglu, Faruk, Fakioglu, Ozden, Soylu, Elif Neyran, Yagci, Meral Apaydin, Cinar, Sakir, Capkin, Kadir, Yagci, Abdulkadir, Cesur, Mehmet, Bilgin, Fuat, Bulut, Cafer, Uysal, Rahmi, Koker, Latife, Akcaalan, Reyhan, Albay, Meric, Alp, Mehmet Tahir, Ozkan, Korhan, Sevindik, Tugba Ongun, Tunca, Hatice, Onem, Burcin, Richardson, Jessica, Edwards, Christine, Bergkemper, Victoria, O'Leary, Sarah, Beirne, Eilish, Cromie, Hannah, Ibelings, Bastiaan W., Mantzouki, Evanthia, Campbell, James, van Loon, Emiel, Visser, Petra, Konstantinou, Iosif, Antoniou, Maria, Giuliani, Gregory, Machado-Vieira, Danielle, de Oliveira, Alinne Gurjao, Maronic, Dubravka Spoljaric, Stevic, Filip, Pfeiffer, Tanja Zuna, Vucelic, Itana Bokan, Zutinic, Petar, Udovic, Marija Gligora, Plenkovic-Moraj, Andelka, Tsiarta, Nikoletta, Blaha, Ludek, Geris, Rodan, Frankova, Marketa, Christoffersen, Kirsten Seestern, Warming, Trine Perlt, Feldmann, Tonu, Laas, Alo, Panksep, Kristel, Tuvikene, Lea, Kangro, Kersti, Haggqvist, Kerstin, Salmi, Pauliina, Arvola, Lauri, Fastner, Jutta, Straile, Dietmar, Rothhaupt, Karl-Otto, Fonvielle, Jeremy, Grossart, Hans-Peter, Avagianos, Christos, Kaloudis, Triantafyllos, Triantis, Theodoros, Zervou, Sevasti-Kiriaki, Hiskia, Anastasia, Gkelis, Spyros, Panou, Manthos, McCarthy, Valerie, Perello, Victor C., Obertegger, Ulrike, Boscaini, Adriano, Flaim, Giovanna, Salmaso, Nico, Cerasino, Leonardo, Koreiviene, Judita, Karosiene, Jurate, Kasperoviciene, Jurate, Savadova, Ksenija, Vitonyte, Irma, Haande, Sigrid, Skjelbred, Birger, Grabowska, Magdalena, Karpowicz, Maciej, Chmura, Damian, Nawrocka, Lidia, Kobos, Justyna, Mazur-Marzec, Hanna, Alcaraz-Parraga, Pablo, Wilk-Wozniak, Elzbieta, Krzton, Wojciech, Walusiak, Edward, Gagala, Ilona, Mankiewicz-Boczek, Joana, Toporowska, Magdalena, Pawlik-Skowronska, Barbara, Niedzwiecki, Michal, Peczula, Wojciech, Napiorkowska-Krzebietke, Agnieszka, Dunalska, Julita, Sienska, Justyna, Szymanski, Daniel, Kruk, Marek, Budzynska, Agnieszka, Goldyn, Ryszard, Kozak, Anna, Rosinska, Joanna, Szelag-Wasielewska, Elzbieta, Domek, Piotr, Jakubowska-Krepska, Natalia, Kwasizur, Kinga, Messyasz, Beata, Pelechata, Aleksandra, Pelechaty, Mariusz, Kokocinski, Mikolaj, Madrecka, Beata, Kostrzewska-Szlakowska, Iwona, Frak, Magdalena, Bankowska-Sobczak, Agnieszka, Wasilewicz, Michal, Ochocka, Agnieszka, Pasztaleniec, Agnieszka, Jasser, Iwona, Antao-Geraldes, Ana M., Leira, Manel, Hernandez, Armand, Vasconcelos, Vitor, Morais, Joao, Vale, Micaela, Raposeiro, Pedro M., Goncalves, Vitor, Aleksovski, Boris, Krstic, Svetislav, Nemova, Hana, Drastichova, Iveta, Chomova, Lucia, Remec-Rekar, Spela, Elersek, Tina, Delgado-Martin, Jordi, Garcia, David, Luis Cereijo, Jose, Goma, Joan, Carmen Trapote, Mari, Vegas-Vilarrubia, Teresa, Obrador, Biel, Garcia-Murcia, Ana, Real, Monserrat, Romans, Elvira, Noguero-Ribes, Jordi, Parreno Duque, David, Fernandez-Moran, Elisabeth, Ubeda, Barbara, Angel Galvez, Jose, Marce, Rafael, Catalan, Nuria, Perez-Martinez, Carmen, Ramos-Rodriguez, Eloisa, Cillero-Castro, Carmen, Moreno-Ostos, Enrique, Maria Blanco, Jose, Rodriguez, Valeriano, Juan Montes-Perez, Jorge, Palomino, Roberto L., Rodriguez-Perez, Estela, Carballeira, Rafael, Camacho, Antonio, Picazo, Antonio, Rochera, Carlos, Santamans, Anna C., Ferriol, Carmen, Romo, Susana, Soria, Juan Miguel, Hansson, Lars-Anders, Urrutia-Cordero, Pablo, Ozen, Arda, Bravo, Andrea G., Buck, Moritz, Colom-Montero, William, Mustonen, Kristiina, Pierson, Don, Yang, Yang, Verspagen, Jolanda M. H., Domis, Lisette N. de Senerpont, Seelen, Laura, Teurlincx, Sven, Verstijnen, Yvon, Lurling, Miquel, Maliaka, Valentini, Faassen, Elisabeth J., Latour, Delphine, Carey, Cayelan C., Paerl, Hans W., Torokne, Andrea, Karan, Tunay, Demir, Nilsun, Beklioglu, Meryem, Filiz, Nur, Levi, Eti E., Iskin, Ugur, Bezirci, Gizem, Tavsanoglu, Ulku Nihan, Celik, Kemal, Ozhan, Koray, Karakaya, Nusret, Kocer, Mehmet Ali Turan, Yilmaz, Mete, Maraslioglu, Faruk, Fakioglu, Ozden, Soylu, Elif Neyran, Yagci, Meral Apaydin, Cinar, Sakir, Capkin, Kadir, Yagci, Abdulkadir, Cesur, Mehmet, Bilgin, Fuat, Bulut, Cafer, Uysal, Rahmi, Koker, Latife, Akcaalan, Reyhan, Albay, Meric, Alp, Mehmet Tahir, Ozkan, Korhan, Sevindik, Tugba Ongun, Tunca, Hatice, Onem, Burcin, Richardson, Jessica, Edwards, Christine, Bergkemper, Victoria, O'Leary, Sarah, Beirne, Eilish, Cromie, Hannah, and Ibelings, Bastiaan W.
- Published
- 2018
47. Contributors
- Author
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An, Shuqing, Beisner, Beatrix E., Beklioğlu, Meryem, Bogan, Michael T., Bonada, Núria, Burford, Michele Astrid, Carey, Cayelan C., Chambers, Patricia A., Cole, Jonathan J., Couture, Raoul-Marie, DelSontro, Tonya, de Senerpont Domis, Lisette N., de Tezanos Pinto, Paula, Dillon, Peter J., Dugan, Hilary A., Gómez-Gener, Lluís, Gomi, Takashi, Gregory-Eaves, Irene, Grizzetti, Bruna, Hamilton, David P., Hampton, Stephanie E., Hotchkiss, Erin R., Janse van Vuuren, Sanet, Jeelani, Nasreen, Jeppesen, Erik, Jones, Ian, Kimirei, Ismael, Kritzberg, Emma S., Kumagai, Michio, Lehner, Bernhard, Litchman, Elena, Lowe, Rex, Lu, Jing, Maberly, Stephen C., MacIntyre, Sally, Mao, Zhigang, Marcé, Rafael, McMahon, Katherine D., Meerhoff, Mariana, Molot, Lewis A., Newton, Ryan J., Pawlowicz, Rich, Poikane, Sandra, Prairie, Yves T., Robson, Belinda J., Rose, Kevin C., Sharma, Sapna, Sidle, Roy C., Smol, John P., Thackeray, Stephen J., Vadeboncoeur, Yvonne, Verhoeven, Jos T.A., Vincent, Warwick F., Volta, Pietro, Wehr, John, Yerubandi, Ram, and Yin, Shenglai
- Published
- 2024
- Full Text
- View/download PDF
48. Pattern detection using Dynamic Factor Analysis (DFA). In Obrador, B., Jones, I.D. and Jennings, E. (Eds.) NETLAKE toolbox for the analysis of high-frequency data from lakes (Factsheet 10)
- Author
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Aguilera, Rosana and Marce, Rafael
- Subjects
Chemistry ,Physics ,Biology - Published
- 2016
49. El Nino southern oscillation and seasonal drought drive riparian input dynamics in a Mediterranean stream
- Author
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Sanpera Calbet, Isis, Acuña, V. (Vicenç), Butturini, Andrea, Marce, Rafael, Muñoz Gràcia, Isabel, and Universitat de Barcelona
- Subjects
Mediterrània (Mar) ,Zones de ribera ,Sequeres ,Mediterranean Sea ,Corrent del Niño ,Riparian areas ,El Niño Current ,Droughts - Abstract
Inland waters substantially contribute to global carbon fluxes, and within them, low-order forested streams are important processors of allochthonous organic matter (OM) inputs. Leaf litter quantity and quality are expected to change in response to global change (e.g., climate change, land use change) but few long-term studies exist to better understand these shifts. The goal of this study was to assess the quantity and quality of OM sources to determine which global and local environmental factors control the dynamics of OM at the reach scale. The study was performed on a Mediterranean stream edged by a deciduous riparian forest over a 10-yr-time period. Riparian inputs, benthic and transported OM, and its carbon and nitrogen content were determined. The quantity of riparian inputs (912 +/- 56 g dry mass m(-2) yr(-1)) was comparable to temperate regions with deciduous riparian forests, but the Mediterranean climate determined the different dynamics of these inputs. El Nino Southern Oscillation was strongly related to the interannual variability in riparian inputs through changes in precipitation. The annual amount of inputs depended on previous cumulated nonflow periods, with successive nonflow periods causing a progressive decrease in riparian inputs. The distribution of inputs throughout the year followed either a unimodal or bimodal pattern according to the absence or presence of a nonflow period in summer. In addition, drought caused lower quality (higher carbon : nitrogen molar ratio) riparian inputs. Changes in the quantity and quality of OM were explained by both present and past local and global factors.
- Published
- 2016
50. Organic carbon decomposition rates controlled by water retention time across inland waters
- Author
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Catalan, Nuria, Marce, Rafael, Kothawala, Dolly N., Tranvik, Lars. J., Catalan, Nuria, Marce, Rafael, Kothawala, Dolly N., and Tranvik, Lars. J.
- Abstract
The loss of organic carbon during passage through the continuum of inland waters from soils to the sea is a critical component of the global carbon cycle(1-3). Yet, the amount of organic carbon mineralized and released to the atmosphere during its transport remains an open question(2,4-6), hampered by the absence of a common predictor of organic carbon decay rates(1,7). Here we analyse a compilation of existing field and laboratory measurements of organic carbon decay rates and water residence times across a wide range of aquatic ecosystems and climates. We find a negative relationship between the rate of organic carbon decay and water retention time across systems, entailing a decrease in organic carbon reactivity along the continuum of inland waters. We find that the half-life of organic carbon is short in inland waters (2.5 +/- 4.7 yr) compared to terrestrial soils and marine ecosystems, highlighting that freshwaters are hotspots of organic carbon degradation. Finally, we evaluate the response of organic carbon decay rates to projected changes in runoff(8). We calculate that regions projected to become drier or wetter as the global climate warms will experience changes in organic carbon decay rates of up to about 10%, which illustrates the influence of hydrological variability on the inland waters carbon cycle.
- Published
- 2016
- Full Text
- View/download PDF
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