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\n  \n 2023\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n GRiMeDB : the global river methane database of concentrations and fluxes.\n \n \n \n \n\n\n \n Stanley, E. H.; Loken, L. C.; Casson, N. J.; Oliver, S. K.; Sponseller, R. A.; Wallin, M. B.; Zhang, L.; and Rocher-Ros, G.\n\n\n \n\n\n\n Earth System Science Data, 15(7): 2879–2926. 2023.\n Publisher: Copernicus Publications\n\n\n\n
\n\n\n\n \n \n \"GRiMeDBPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{stanley_grimedb_2023,\n\ttitle = {{GRiMeDB} : the global river methane database of concentrations and fluxes},\n\tvolume = {15},\n\tshorttitle = {{GRiMeDB}},\n\turl = {https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215374},\n\tdoi = {10.5194/essd-15-2879-2023},\n\tabstract = {Despite their small spatial extent, fluvial ecosystems play a significant role in processing and transporting carbon in aquatic networks, which results in substantial emission of methane (CH4) into ...},\n\tlanguage = {eng},\n\tnumber = {7},\n\turldate = {2024-03-26},\n\tjournal = {Earth System Science Data},\n\tauthor = {Stanley, Emily H. and Loken, Luke C. and Casson, Nora J. and Oliver, Samantha K. and Sponseller, Ryan A. and Wallin, Marcus B. and Zhang, Liwei and Rocher-Ros, Gerard},\n\tyear = {2023},\n\tnote = {Publisher: Copernicus Publications},\n\tpages = {2879--2926},\n}\n\n
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\n Despite their small spatial extent, fluvial ecosystems play a significant role in processing and transporting carbon in aquatic networks, which results in substantial emission of methane (CH4) into ...\n
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\n \n\n \n \n \n \n \n \n Global methane emissions from rivers and streams.\n \n \n \n \n\n\n \n Rocher-Ros, G.; Stanley, E. H.; Loken, L. C.; Casson, N. J.; Raymond, P. A.; Liu, S.; Amatulli, G.; and Sponseller, R. A.\n\n\n \n\n\n\n Nature, 621(7979): 530–535. 2023.\n Publisher: Springer Nature\n\n\n\n
\n\n\n\n \n \n \"GlobalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{rocher-ros_global_2023,\n\ttitle = {Global methane emissions from rivers and streams},\n\tvolume = {621},\n\turl = {https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-213705},\n\tdoi = {10.1038/s41586-023-06344-6},\n\tabstract = {Methane (CH4) is a potent greenhouse gas and its concentrations have tripled in the atmosphere since the industrial revolution. There is evidence that global warming has increased CH4 emissions fro ...},\n\tlanguage = {eng},\n\tnumber = {7979},\n\turldate = {2024-03-26},\n\tjournal = {Nature},\n\tauthor = {Rocher-Ros, Gerard and Stanley, Emily H. and Loken, Luke C. and Casson, Nora J. and Raymond, Peter A. and Liu, Shaoda and Amatulli, Giuseppe and Sponseller, Ryan A.},\n\tyear = {2023},\n\tnote = {Publisher: Springer Nature},\n\tpages = {530--535},\n}\n\n
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\n Methane (CH4) is a potent greenhouse gas and its concentrations have tripled in the atmosphere since the industrial revolution. There is evidence that global warming has increased CH4 emissions fro ...\n
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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Groundwater discharge as a driver of methane emissions from Arctic lakes.\n \n \n \n \n\n\n \n Olid, C.; Rodellas, V.; Rocher-Ros, G.; Garcia-Orellana, J.; Diego-Feliu, M.; Alorda-Kleinglass, A.; Bastviken, D.; and Karlsson, J.\n\n\n \n\n\n\n Nature Communications, 13(1): 3667. June 2022.\n Number: 1 Publisher: Nature Publishing Group\n\n\n\n
\n\n\n\n \n \n \"GroundwaterPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{olid_groundwater_2022,\n\ttitle = {Groundwater discharge as a driver of methane emissions from {Arctic} lakes},\n\tvolume = {13},\n\tcopyright = {2022 The Author(s)},\n\tissn = {2041-1723},\n\turl = {https://www.nature.com/articles/s41467-022-31219-1},\n\tdoi = {10.1038/s41467-022-31219-1},\n\tabstract = {Lateral CH4 inputs to Arctic lakes through groundwater discharge could be substantial and constitute an important pathway that links CH4 production in thawing permafrost to atmospheric emissions via lakes. Yet, groundwater CH4 inputs and associated drivers are hitherto poorly constrained because their dynamics and spatial variability are largely unknown. Here, we unravel the important role and drivers of groundwater discharge for CH4 emissions from Arctic lakes. Spatial patterns across lakes suggest groundwater inflows are primarily related to lake depth and wetland cover. Groundwater CH4 inputs to lakes are higher in summer than in autumn and are influenced by hydrological (groundwater recharge) and biological drivers (CH4 production). This information on the spatial and temporal patterns on groundwater discharge at high northern latitudes is critical for predicting lake CH4 emissions in the warming Arctic, as rising temperatures, increasing precipitation, and permafrost thawing may further exacerbate groundwater CH4 inputs to lakes.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-07-20},\n\tjournal = {Nature Communications},\n\tauthor = {Olid, Carolina and Rodellas, Valentí and Rocher-Ros, Gerard and Garcia-Orellana, Jordi and Diego-Feliu, Marc and Alorda-Kleinglass, Aaron and Bastviken, David and Karlsson, Jan},\n\tmonth = jun,\n\tyear = {2022},\n\tnote = {Number: 1\nPublisher: Nature Publishing Group},\n\tkeywords = {\\#nosource, Carbon cycle, Climate-change impacts},\n\tpages = {3667},\n}\n\n
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\n Lateral CH4 inputs to Arctic lakes through groundwater discharge could be substantial and constitute an important pathway that links CH4 production in thawing permafrost to atmospheric emissions via lakes. Yet, groundwater CH4 inputs and associated drivers are hitherto poorly constrained because their dynamics and spatial variability are largely unknown. Here, we unravel the important role and drivers of groundwater discharge for CH4 emissions from Arctic lakes. Spatial patterns across lakes suggest groundwater inflows are primarily related to lake depth and wetland cover. Groundwater CH4 inputs to lakes are higher in summer than in autumn and are influenced by hydrological (groundwater recharge) and biological drivers (CH4 production). This information on the spatial and temporal patterns on groundwater discharge at high northern latitudes is critical for predicting lake CH4 emissions in the warming Arctic, as rising temperatures, increasing precipitation, and permafrost thawing may further exacerbate groundwater CH4 inputs to lakes.\n
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\n  \n 2021\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Metabolism overrides photo-oxidation in CO2 dynamics of Arctic permafrost streams.\n \n \n \n \n\n\n \n Rocher-Ros, G.; Harms, T. K.; Sponseller, R. A.; Väisänen, M.; Mörth, C.; and Giesler, R.\n\n\n \n\n\n\n Limnology and Oceanography, 66(S1): S169–S181. 2021.\n _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11564\n\n\n\n
\n\n\n\n \n \n \"MetabolismPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{rocher-ros_metabolism_2021,\n\ttitle = {Metabolism overrides photo-oxidation in {CO2} dynamics of {Arctic} permafrost streams},\n\tvolume = {66},\n\tcopyright = {© 2020 The Authors. Limnology and Oceanography published by Wiley Periodicals LLC. on behalf of Association for the Sciences of Limnology and Oceanography.},\n\tissn = {1939-5590},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/lno.11564},\n\tdoi = {10.1002/lno.11564},\n\tabstract = {Global warming is enhancing the mobilization of organic carbon (C) from Arctic soils into streams, where it can be mineralized to CO2 and released to the atmosphere. Abiotic photo-oxidation might drive C mineralization, but this process has not been quantitatively integrated with biological processes that also influence CO2 dynamics in aquatic ecosystems. We measured CO2 concentrations and the isotopic composition of dissolved inorganic C (δ13CDIC) at diel resolution in two Arctic streams, and coupled this with whole-system metabolism estimates to assess the effect of biotic and abiotic processes on stream C dynamics. CO2 concentrations consistently decreased from night to day, a pattern counter to the hypothesis that photo-oxidation is the dominant source of CO2. Instead, the observed decrease in CO2 during daytime was explained by photosynthetic rates, which were strongly correlated with diurnal changes in δ13CDIC values. However, on days when modeled photosynthetic rates were near zero, there was still a significant diel change in δ13CDIC values, suggesting that metabolic estimates are partly masked by O2 consumption from photo-oxidation. Our results suggest that 6–12 mmol CO2-C m−2 d−1 may be generated from photo-oxidation, a range that corresponds well to previous laboratory measurements. Moreover, ecosystem respiration rates were 10 times greater than published photo-oxidation rates for these Arctic streams, and accounted for 33–80\\% of total CO2 evasion. Our results suggest that metabolic activity is the dominant process for CO2 production in Arctic streams. Thus, future aquatic CO2 emissions may depend on how biotic processes respond to the ongoing environmental change.},\n\tlanguage = {en},\n\tnumber = {S1},\n\turldate = {2024-03-27},\n\tjournal = {Limnology and Oceanography},\n\tauthor = {Rocher-Ros, Gerard and Harms, Tamara K. and Sponseller, Ryan A. and Väisänen, Maria and Mörth, Carl-Magnus and Giesler, Reiner},\n\tyear = {2021},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11564},\n\tkeywords = {\\#nosource},\n\tpages = {S169--S181},\n}\n\n
\n
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\n Global warming is enhancing the mobilization of organic carbon (C) from Arctic soils into streams, where it can be mineralized to CO2 and released to the atmosphere. Abiotic photo-oxidation might drive C mineralization, but this process has not been quantitatively integrated with biological processes that also influence CO2 dynamics in aquatic ecosystems. We measured CO2 concentrations and the isotopic composition of dissolved inorganic C (δ13CDIC) at diel resolution in two Arctic streams, and coupled this with whole-system metabolism estimates to assess the effect of biotic and abiotic processes on stream C dynamics. CO2 concentrations consistently decreased from night to day, a pattern counter to the hypothesis that photo-oxidation is the dominant source of CO2. Instead, the observed decrease in CO2 during daytime was explained by photosynthetic rates, which were strongly correlated with diurnal changes in δ13CDIC values. However, on days when modeled photosynthetic rates were near zero, there was still a significant diel change in δ13CDIC values, suggesting that metabolic estimates are partly masked by O2 consumption from photo-oxidation. Our results suggest that 6–12 mmol CO2-C m−2 d−1 may be generated from photo-oxidation, a range that corresponds well to previous laboratory measurements. Moreover, ecosystem respiration rates were 10 times greater than published photo-oxidation rates for these Arctic streams, and accounted for 33–80% of total CO2 evasion. Our results suggest that metabolic activity is the dominant process for CO2 production in Arctic streams. Thus, future aquatic CO2 emissions may depend on how biotic processes respond to the ongoing environmental change.\n
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\n \n\n \n \n \n \n \n \n Nutrients influence seasonal metabolic patterns and total productivity of Arctic streams.\n \n \n \n \n\n\n \n Myrstener, M.; Gómez-Gener, L.; Rocher-Ros, G.; Giesler, R.; and Sponseller, R. A.\n\n\n \n\n\n\n Limnology and Oceanography, 66(S1): S182–S196. 2021.\n _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11614\n\n\n\n
\n\n\n\n \n \n \"NutrientsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{myrstener_nutrients_2021,\n\ttitle = {Nutrients influence seasonal metabolic patterns and total productivity of {Arctic} streams},\n\tvolume = {66},\n\tcopyright = {© 2020 The Authors. Limnology and Oceanography published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography.},\n\tissn = {1939-5590},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/lno.11614},\n\tdoi = {10.1002/lno.11614},\n\tabstract = {The seasonality of gross primary production (GPP) in streams is driven by multiple physical and chemical factors, yet incident light is often thought to be most important. In Arctic tundra streams, however, light is available in saturating amounts throughout the summer, but sharp declines in nutrient supply during the terrestrial growing season may constrain aquatic productivity. Given the opposing seasonality of these drivers, we hypothesized that “shoulder seasons”—spring and autumn—represent critical time windows when light and nutrients align to optimize rates of stream productivity in the Arctic. To test this, we measured annual patterns of GPP and biofilm accumulation in eight streams in Arctic Sweden. We found that the aquatic growing season length differed by 4 months across streams and was determined largely by the timing of ice-off in spring. During the growing season, temporal variability in GPP for nitrogen (N) poor streams was correlated with inorganic N concentration, while in more N-rich streams GPP was instead linked to changes in phosphorus and light. Annual GPP varied ninefold among streams and was enhanced by N availability, the length of ice-free period, and low flood frequency. Finally, network scale estimates of GPP highlight the overall significance of the shoulder seasons, which accounted for 48\\% of annual productivity. We suggest that the timing of ice off and nutrient supply from land interact to regulate the annual metabolic regimes of nutrient poor, Arctic streams, leading to unexpected peaks in productivity that are offset from the terrestrial growing season.},\n\tlanguage = {en},\n\tnumber = {S1},\n\turldate = {2024-03-26},\n\tjournal = {Limnology and Oceanography},\n\tauthor = {Myrstener, Maria and Gómez-Gener, Lluís and Rocher-Ros, Gerard and Giesler, Reiner and Sponseller, Ryan A.},\n\tyear = {2021},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11614},\n\tkeywords = {\\#nosource},\n\tpages = {S182--S196},\n}\n\n
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\n The seasonality of gross primary production (GPP) in streams is driven by multiple physical and chemical factors, yet incident light is often thought to be most important. In Arctic tundra streams, however, light is available in saturating amounts throughout the summer, but sharp declines in nutrient supply during the terrestrial growing season may constrain aquatic productivity. Given the opposing seasonality of these drivers, we hypothesized that “shoulder seasons”—spring and autumn—represent critical time windows when light and nutrients align to optimize rates of stream productivity in the Arctic. To test this, we measured annual patterns of GPP and biofilm accumulation in eight streams in Arctic Sweden. We found that the aquatic growing season length differed by 4 months across streams and was determined largely by the timing of ice-off in spring. During the growing season, temporal variability in GPP for nitrogen (N) poor streams was correlated with inorganic N concentration, while in more N-rich streams GPP was instead linked to changes in phosphorus and light. Annual GPP varied ninefold among streams and was enhanced by N availability, the length of ice-free period, and low flood frequency. Finally, network scale estimates of GPP highlight the overall significance of the shoulder seasons, which accounted for 48% of annual productivity. We suggest that the timing of ice off and nutrient supply from land interact to regulate the annual metabolic regimes of nutrient poor, Arctic streams, leading to unexpected peaks in productivity that are offset from the terrestrial growing season.\n
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\n \n\n \n \n \n \n \n \n Stratification strength and light climate explain variation in chlorophyll a at the continental scale in a European multilake survey in a heatwave summer.\n \n \n \n \n\n\n \n Donis, D.; Mantzouki, E.; McGinnis, D. F.; Vachon, D.; Gallego, I.; Grossart, H.; de Senerpont Domis, L. N.; Teurlincx, S.; Seelen, L.; Lürling, M.; Verstijnen, Y.; Maliaka, V.; Fonvielle, J.; Visser, P. M.; Verspagen, J.; van Herk, M.; Antoniou, M. G.; Tsiarta, N.; McCarthy, V.; Perello, V. C.; Machado-Vieira, D.; de Oliveira, A. G.; Maronić, D. Š.; Stević, F.; Pfeiffer, T. Ž.; Vucelić, I. B.; Žutinić, P.; Udovič, M. G.; Plenković-Moraj, A.; Bláha, L.; Geriš, R.; Fránková, M.; Christoffersen, K. S.; Warming, T. P.; Feldmann, T.; Laas, A.; Panksep, K.; Tuvikene, L.; Kangro, K.; Koreivienė, J.; Karosienė, J.; Kasperovičienė, J.; Savadova-Ratkus, K.; Vitonytė, I.; Häggqvist, K.; Salmi, P.; Arvola, L.; Rothhaupt, K.; Avagianos, C.; Kaloudis, T.; Gkelis, S.; Panou, M.; Triantis, T.; Zervou, S.; Hiskia, A.; Obertegger, U.; Boscaini, A.; Flaim, G.; Salmaso, N.; Cerasino, L.; Haande, S.; Skjelbred, B.; Grabowska, M.; Karpowicz, M.; Chmura, D.; Nawrocka, L.; Kobos, J.; Mazur-Marzec, H.; Alcaraz-Párraga, P.; Wilk-Woźniak, E.; Krztoń, W.; Walusiak, E.; Gagala-Borowska, I.; Mankiewicz-Boczek, J.; Toporowska, M.; Pawlik-Skowronska, B.; Niedźwiecki, M.; Pęczuła, W.; Napiórkowska-Krzebietke, A.; Dunalska, J.; Sieńska, J.; Szymański, D.; Kruk, M.; Budzyńska, A.; Goldyn, R.; Kozak, A.; Rosińska, J.; Szeląg-Wasielewska, E.; Domek, P.; Jakubowska-Krepska, N.; Kwasizur, K.; Messyasz, B.; Pełechata, A.; Pełechaty, M.; Kokocinski, M.; Madrecka-Witkowska, B.; Kostrzewska-Szlakowska, I.; Frąk, M.; Bańkowska-Sobczak, A.; Wasilewicz, M.; Ochocka, A.; Pasztaleniec, A.; Jasser, I.; Antão-Geraldes, A. M.; Leira, M.; Vasconcelos, V.; Morais, J.; Vale, M.; Raposeiro, P. M.; Gonçalves, V.; Aleksovski, B.; Krstić, S.; Nemova, H.; Drastichova, I.; Chomova, L.; Remec-Rekar, S.; Elersek, T.; Hansson, L.; Urrutia-Cordero, P.; Bravo, A. G.; Buck, M.; Colom-Montero, W.; Mustonen, K.; Pierson, D.; Yang, Y.; Richardson, J.; Edwards, C.; Cromie, H.; Delgado-Martín, J.; García, D.; Cereijo, J. L.; Gomà, J.; Trapote, M. C.; Vegas-Vilarrúbia, T.; Obrador, B.; García-Murcia, A.; Real, M.; Romans, E.; Noguero-Ribes, J.; Duque, D. P.; Fernández-Morán, E.; Úbeda, B.; Gálvez, J. Á.; Catalán, N.; Pérez-Martínez, C.; Ramos-Rodríguez, E.; Cillero-Castro, C.; Moreno-Ostos, E.; Blanco, J. M.; Rodríguez, V.; Montes-Pérez, J. J.; Palomino, R. L.; Rodríguez-Pérez, E.; Hernández, A.; Carballeira, R.; Camacho, A.; Picazo, A.; Rochera, C.; Santamans, A. C.; Ferriol, C.; Romo, S.; Soria, J. M.; Özen, A.; Karan, T.; Demir, N.; Beklioğlu, M.; Filiz, N.; Levi, E.; Iskin, U.; Bezirci, G.; Tavşanoğlu, Ü. N.; Çelik, K.; Ozhan, K.; Karakaya, N.; Koçer, M. A. T.; Yilmaz, M.; Maraşlıoğlu, F.; Fakioglu, Ö.; Soylu, E. N.; Yağcı, M. A.; Çınar, Ş.; Çapkın, K.; Yağcı, A.; Cesur, M.; Bilgin, F.; Bulut, C.; Uysal, R.; Latife, K.; Akçaalan, R.; Albay, M.; Alp, M. T.; Özkan, K.; Sevindik, T. O.; Tunca, H.; Önem, B.; Paerl, H.; Carey, C. C.; and Ibelings, B. W.\n\n\n \n\n\n\n Limnology and Oceanography, 66(12): 4314–4333. 2021.\n _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11963\n\n\n\n
\n\n\n\n \n \n \"StratificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{donis_stratification_2021,\n\ttitle = {Stratification strength and light climate explain variation in chlorophyll a at the continental scale in a {European} multilake survey in a heatwave summer},\n\tvolume = {66},\n\tissn = {1939-5590},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/lno.11963},\n\tdoi = {10.1002/lno.11963},\n\tabstract = {To determine the drivers of phytoplankton biomass, we collected standardized morphometric, physical, and biological data in 230 lakes across the Mediterranean, Continental, and Boreal climatic zones of the European continent. Multilinear regression models tested on this snapshot of mostly eutrophic lakes (median total phosphorus [TP] = 0.06 and total nitrogen [TN] = 0.7 mg L−1), and its subsets (2 depth types and 3 climatic zones), show that light climate and stratification strength were the most significant explanatory variables for chlorophyll a (Chl a) variance. TN was a significant predictor for phytoplankton biomass for shallow and continental lakes, while TP never appeared as an explanatory variable, suggesting that under high TP, light, which partially controls stratification strength, becomes limiting for phytoplankton development. Mediterranean lakes were the warmest yet most weakly stratified and had significantly less Chl a than Boreal lakes, where the temperature anomaly from the long-term average, during a summer heatwave was the highest (+4°C) and showed a significant, exponential relationship with stratification strength. This European survey represents a summer snapshot of phytoplankton biomass and its drivers, and lends support that light and stratification metrics, which are both affected by climate change, are better predictors for phytoplankton biomass in nutrient-rich lakes than nutrient concentrations and surface temperature.},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2022-01-20},\n\tjournal = {Limnology and Oceanography},\n\tauthor = {Donis, Daphne and Mantzouki, Evanthia and McGinnis, Daniel F. and Vachon, Dominic and Gallego, Irene and Grossart, Hans-Peter and de Senerpont Domis, Lisette N. and Teurlincx, Sven and Seelen, Laura and Lürling, Miquel and Verstijnen, Yvon and Maliaka, Valentini and Fonvielle, Jeremy and Visser, Petra M. and Verspagen, Jolanda and van Herk, Maria and Antoniou, Maria G. and Tsiarta, Nikoletta and McCarthy, Valerie and Perello, Victor C. and Machado-Vieira, Danielle and de Oliveira, Alinne Gurjão and Maronić, Dubravka Špoljarić and Stević, Filip and Pfeiffer, Tanja Žuna and Vucelić, Itana Bokan and Žutinić, Petar and Udovič, Marija Gligora and Plenković-Moraj, Anđelka and Bláha, Luděk and Geriš, Rodan and Fránková, Markéta and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Feldmann, Tõnu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Kangro, Kersti and Koreivienė, Judita and Karosienė, Jūratė and Kasperovičienė, Jūratė and Savadova-Ratkus, Ksenija and Vitonytė, Irma and Häggqvist, Kerstin and Salmi, Pauliina and Arvola, Lauri and Rothhaupt, Karl and Avagianos, Christos and Kaloudis, Triantafyllos and Gkelis, Spyros and Panou, Manthos and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Haande, Sigrid and Skjelbred, Birger and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and Nawrocka, Lidia and Kobos, Justyna and Mazur-Marzec, Hanna and Alcaraz-Párraga, Pablo and Wilk-Woźniak, Elżbieta and Krztoń, Wojciech and Walusiak, Edward and Gagala-Borowska, Ilona and Mankiewicz-Boczek, Joana and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Niedźwiecki, Michał and Pęczuła, Wojciech and Napiórkowska-Krzebietke, Agnieszka and Dunalska, Julita and Sieńska, Justyna and Szymański, Daniel and Kruk, Marek and Budzyńska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosińska, Joanna and Szeląg-Wasielewska, Elżbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pełechata, Aleksandra and Pełechaty, Mariusz and Kokocinski, Mikolaj and Madrecka-Witkowska, Beata and Kostrzewska-Szlakowska, Iwona and Frąk, Magdalena and Bańkowska-Sobczak, Agnieszka and Wasilewicz, Michał and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Jasser, Iwona and Antão-Geraldes, Ana M. and Leira, Manel and Vasconcelos, Vitor and Morais, Joao and Vale, Micaela and Raposeiro, Pedro M. and Gonçalves, Vítor and Aleksovski, Boris and Krstić, Svetislav and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Remec-Rekar, Spela and Elersek, Tina and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Richardson, Jessica and Edwards, Christine and Cromie, Hannah and Delgado-Martín, Jordi and García, David and Cereijo, Jose Luís and Gomà, Joan and Trapote, Mari Carmen and Vegas-Vilarrúbia, Teresa and Obrador, Biel and García-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Duque, David Parreño and Fernández-Morán, Elísabeth and Úbeda, Bárbara and Gálvez, José Ángel and Catalán, Núria and Pérez-Martínez, Carmen and Ramos-Rodríguez, Eloísa and Cillero-Castro, Carmen and Moreno-Ostos, Enrique and Blanco, José María and Rodríguez, Valeriano and Montes-Pérez, Jorge Juan and Palomino, Roberto L. and Rodríguez-Pérez, Estela and Hernández, Armand and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Soria, Juan Miguel and Özen, Arda and Karan, Tünay and Demir, Nilsun and Beklioğlu, Meryem and Filiz, Nur and Levi, Eti and Iskin, Uğur and Bezirci, Gizem and Tavşanoğlu, Ülkü Nihan and Çelik, Kemal and Ozhan, Koray and Karakaya, Nusret and Koçer, Mehmet Ali Turan and Yilmaz, Mete and Maraşlıoğlu, Faruk and Fakioglu, Özden and Soylu, Elif Neyran and Yağcı, Meral Apaydın and Çınar, Şakir and Çapkın, Kadir and Yağcı, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Latife, Köker and Akçaalan, Reyhan and Albay, Meriç and Alp, Mehmet Tahir and Özkan, Korhan and Sevindik, Tuğba Ongun and Tunca, Hatice and Önem, Burçin and Paerl, Hans and Carey, Cayelan C. and Ibelings, Bastiaan W.},\n\tyear = {2021},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11963},\n\tkeywords = {\\#nosource},\n\tpages = {4314--4333},\n}\n\n
\n
\n\n\n
\n To determine the drivers of phytoplankton biomass, we collected standardized morphometric, physical, and biological data in 230 lakes across the Mediterranean, Continental, and Boreal climatic zones of the European continent. Multilinear regression models tested on this snapshot of mostly eutrophic lakes (median total phosphorus [TP] = 0.06 and total nitrogen [TN] = 0.7 mg L−1), and its subsets (2 depth types and 3 climatic zones), show that light climate and stratification strength were the most significant explanatory variables for chlorophyll a (Chl a) variance. TN was a significant predictor for phytoplankton biomass for shallow and continental lakes, while TP never appeared as an explanatory variable, suggesting that under high TP, light, which partially controls stratification strength, becomes limiting for phytoplankton development. Mediterranean lakes were the warmest yet most weakly stratified and had significantly less Chl a than Boreal lakes, where the temperature anomaly from the long-term average, during a summer heatwave was the highest (+4°C) and showed a significant, exponential relationship with stratification strength. This European survey represents a summer snapshot of phytoplankton biomass and its drivers, and lends support that light and stratification metrics, which are both affected by climate change, are better predictors for phytoplankton biomass in nutrient-rich lakes than nutrient concentrations and surface temperature.\n
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\n \n\n \n \n \n \n \n \n Global carbon dioxide efflux from rivers enhanced by high nocturnal emissions.\n \n \n \n \n\n\n \n Gómez-Gener, L.; Rocher-Ros, G.; Battin, T.; Cohen, M. J.; Dalmagro, H. J.; Dinsmore, K. J.; Drake, T. W.; Duvert, C.; Enrich-Prast, A.; Horgby, Å.; Johnson, M. S.; Kirk, L.; Machado-Silva, F.; Marzolf, N. S.; McDowell, M. J.; McDowell, W. H.; Miettinen, H.; Ojala, A. K.; Peter, H.; Pumpanen, J.; Ran, L.; Riveros-Iregui, D. A.; Santos, I. R.; Six, J.; Stanley, E. H.; Wallin, M. B.; White, S. A.; and Sponseller, R. A.\n\n\n \n\n\n\n Nature Geoscience, 14(5): 289–294. May 2021.\n Bandiera_abtest: a Cg_type: Nature Research Journals Number: 5 Primary_atype: Research Publisher: Nature Publishing Group Subject_term: Carbon cycle;Ecosystem ecology;Limnology Subject_term_id: carbon-cycle;ecosystem-ecology;limnology\n\n\n\n
\n\n\n\n \n \n \"GlobalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gomez-gener_global_2021,\n\ttitle = {Global carbon dioxide efflux from rivers enhanced by high nocturnal emissions},\n\tvolume = {14},\n\tcopyright = {2021 The Author(s), under exclusive licence to Springer Nature Limited},\n\tissn = {1752-0908},\n\turl = {https://www.nature.com/articles/s41561-021-00722-3},\n\tdoi = {10.1038/s41561-021-00722-3},\n\tabstract = {Carbon dioxide (CO2) emissions to the atmosphere from running waters are estimated to be four times greater than the total carbon (C) flux to the oceans. However, these fluxes remain poorly constrained because of substantial spatial and temporal variability in dissolved CO2 concentrations. Using a global compilation of high-frequency CO2 measurements, we demonstrate that nocturnal CO2 emissions are on average 27\\% (0.9 gC m−2 d−1) greater than those estimated from diurnal concentrations alone. Constraints on light availability due to canopy shading or water colour are the principal controls on observed diel (24 hour) variation, suggesting this nocturnal increase arises from daytime fixation of CO2 by photosynthesis. Because current global estimates of CO2 emissions to the atmosphere from running waters (0.65–1.8 PgC yr−1) rely primarily on discrete measurements of dissolved CO2 obtained during the day, they substantially underestimate the magnitude of this flux. Accounting for night-time CO2 emissions may elevate global estimates from running waters to the atmosphere by 0.20–0.55 PgC yr−1.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2021-09-03},\n\tjournal = {Nature Geoscience},\n\tauthor = {Gómez-Gener, Lluís and Rocher-Ros, Gerard and Battin, Tom and Cohen, Matthew J. and Dalmagro, Higo J. and Dinsmore, Kerry J. and Drake, Travis W. and Duvert, Clément and Enrich-Prast, Alex and Horgby, Åsa and Johnson, Mark S. and Kirk, Lily and Machado-Silva, Fausto and Marzolf, Nicholas S. and McDowell, Mollie J. and McDowell, William H. and Miettinen, Heli and Ojala, Anne K. and Peter, Hannes and Pumpanen, Jukka and Ran, Lishan and Riveros-Iregui, Diego A. and Santos, Isaac R. and Six, Johan and Stanley, Emily H. and Wallin, Marcus B. and White, Shane A. and Sponseller, Ryan A.},\n\tmonth = may,\n\tyear = {2021},\n\tnote = {Bandiera\\_abtest: a\nCg\\_type: Nature Research Journals\nNumber: 5\nPrimary\\_atype: Research\nPublisher: Nature Publishing Group\nSubject\\_term: Carbon cycle;Ecosystem ecology;Limnology\nSubject\\_term\\_id: carbon-cycle;ecosystem-ecology;limnology},\n\tkeywords = {\\#nosource},\n\tpages = {289--294},\n}\n\n
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\n\n\n
\n Carbon dioxide (CO2) emissions to the atmosphere from running waters are estimated to be four times greater than the total carbon (C) flux to the oceans. However, these fluxes remain poorly constrained because of substantial spatial and temporal variability in dissolved CO2 concentrations. Using a global compilation of high-frequency CO2 measurements, we demonstrate that nocturnal CO2 emissions are on average 27% (0.9 gC m−2 d−1) greater than those estimated from diurnal concentrations alone. Constraints on light availability due to canopy shading or water colour are the principal controls on observed diel (24 hour) variation, suggesting this nocturnal increase arises from daytime fixation of CO2 by photosynthesis. Because current global estimates of CO2 emissions to the atmosphere from running waters (0.65–1.8 PgC yr−1) rely primarily on discrete measurements of dissolved CO2 obtained during the day, they substantially underestimate the magnitude of this flux. Accounting for night-time CO2 emissions may elevate global estimates from running waters to the atmosphere by 0.20–0.55 PgC yr−1.\n
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\n \n\n \n \n \n \n \n \n Carbon emission from Western Siberian inland waters.\n \n \n \n \n\n\n \n Karlsson, J.; Serikova, S.; Vorobyev, S. N.; Rocher-Ros, G.; Denfeld, B.; and Pokrovsky, O. S.\n\n\n \n\n\n\n Nature Communications, 12(1): 825. February 2021.\n Number: 1 Publisher: Nature Publishing Group\n\n\n\n
\n\n\n\n \n \n \"CarbonPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{karlsson_carbon_2021,\n\ttitle = {Carbon emission from {Western} {Siberian} inland waters},\n\tvolume = {12},\n\tcopyright = {2021 The Author(s)},\n\tissn = {2041-1723},\n\turl = {http://www.nature.com/articles/s41467-021-21054-1},\n\tdoi = {10.1038/s41467-021-21054-1},\n\tabstract = {High-latitude regions play a key role in the carbon (C) cycle and climate system. An important question is the degree of mobilization and atmospheric release of vast soil C stocks, partly stored in permafrost, with amplified warming of these regions. A fraction of this C is exported to inland waters and emitted to the atmosphere, yet these losses are poorly constrained and seldom accounted for in assessments of high-latitude C balances. This is particularly relevant for Western Siberia, with its extensive peatland C stocks, which can be strongly sensitive to the ongoing changes in climate. Here we quantify C emission from inland waters, including the Ob’ River (Arctic’s largest watershed), across all permafrost zones of Western Siberia. We show that the inland water C emission is high (0.08–0.10 Pg C yr−1) and of major significance in the regional C cycle, largely exceeding (7–9 times) C export to the Arctic Ocean and reaching nearly half (35–50\\%) of the region’s land C uptake. This important role of C emission from inland waters highlights the need for coupled land–water studies to understand the contemporary C cycle and its response to warming.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2021-04-01},\n\tjournal = {Nature Communications},\n\tauthor = {Karlsson, Jan and Serikova, Svetlana and Vorobyev, Sergey N. and Rocher-Ros, Gerard and Denfeld, Blaize and Pokrovsky, Oleg S.},\n\tmonth = feb,\n\tyear = {2021},\n\tnote = {Number: 1\nPublisher: Nature Publishing Group},\n\tkeywords = {\\#nosource},\n\tpages = {825},\n}\n\n
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\n\n\n
\n High-latitude regions play a key role in the carbon (C) cycle and climate system. An important question is the degree of mobilization and atmospheric release of vast soil C stocks, partly stored in permafrost, with amplified warming of these regions. A fraction of this C is exported to inland waters and emitted to the atmosphere, yet these losses are poorly constrained and seldom accounted for in assessments of high-latitude C balances. This is particularly relevant for Western Siberia, with its extensive peatland C stocks, which can be strongly sensitive to the ongoing changes in climate. Here we quantify C emission from inland waters, including the Ob’ River (Arctic’s largest watershed), across all permafrost zones of Western Siberia. We show that the inland water C emission is high (0.08–0.10 Pg C yr−1) and of major significance in the regional C cycle, largely exceeding (7–9 times) C export to the Arctic Ocean and reaching nearly half (35–50%) of the region’s land C uptake. This important role of C emission from inland waters highlights the need for coupled land–water studies to understand the contemporary C cycle and its response to warming.\n
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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Stream metabolism controls diel patterns and evasion of CO $_{\\textrm{2}}$ in Arctic streams.\n \n \n \n \n\n\n \n Rocher‐Ros, G.; Sponseller, R. A.; Bergström, A.; Myrstener, M.; and Giesler, R.\n\n\n \n\n\n\n Global Change Biology, 26(3): 1400–1413. March 2020.\n \n\n\n\n
\n\n\n\n \n \n \"StreamPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{rocherros_stream_2020,\n\ttitle = {Stream metabolism controls diel patterns and evasion of {CO} $_{\\textrm{2}}$ in {Arctic} streams},\n\tvolume = {26},\n\tissn = {1354-1013, 1365-2486},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.14895},\n\tdoi = {10.1111/gcb.14895},\n\tabstract = {Streams play an important role in the global carbon (C) cycle, accounting for a large portion of CO2 evaded from inland waters despite their small areal coverage. However, the relative importance of different terrestrial and aquatic processes driving CO2 production and evasion from streams remains poorly understood. In this study, we measured O2 and CO2 continuously in streams draining tundra-dominated catchments in northern Sweden, during the summers of 2015 and 2016. From this, we estimated daily metabolic rates and CO2 evasion simultaneously and thus provide insight into the role of stream metabolism as a driver of C dynamics in Arctic streams. Our results show that aquatic biological processes regulate CO2 concentrations and evasion at multiple timescales. Photosynthesis caused CO2 concentrations to decrease by as much as 900 ppm during the day, with the magnitude of this diel variation being strongest at the low-turbulence streams. Diel patterns in CO2 concentrations in turn influenced evasion, with up to 45\\% higher rates at night. Throughout the summer, CO2 evasion was sustained by aquatic ecosystem respiration, which was one order of magnitude higher than gross primary production. Furthermore, in most cases, the contribution of stream respiration exceeded CO2 evasion, suggesting that some stream reaches serve as net sources of CO2, thus creating longitudinal heterogeneity in C production and loss within this stream network. Overall, our results provide the first link between stream metabolism and CO2 evasion in the Arctic and demonstrate that stream metabolic processes are key drivers of the transformation and fate of terrestrial organic matter exported from these landscapes.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-03-19},\n\tjournal = {Global Change Biology},\n\tauthor = {Rocher‐Ros, Gerard and Sponseller, Ryan A. and Bergström, Ann‐Kristin and Myrstener, Maria and Giesler, Reiner},\n\tmonth = mar,\n\tyear = {2020},\n\tkeywords = {\\#nosource},\n\tpages = {1400--1413},\n}\n\n
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\n\n\n
\n Streams play an important role in the global carbon (C) cycle, accounting for a large portion of CO2 evaded from inland waters despite their small areal coverage. However, the relative importance of different terrestrial and aquatic processes driving CO2 production and evasion from streams remains poorly understood. In this study, we measured O2 and CO2 continuously in streams draining tundra-dominated catchments in northern Sweden, during the summers of 2015 and 2016. From this, we estimated daily metabolic rates and CO2 evasion simultaneously and thus provide insight into the role of stream metabolism as a driver of C dynamics in Arctic streams. Our results show that aquatic biological processes regulate CO2 concentrations and evasion at multiple timescales. Photosynthesis caused CO2 concentrations to decrease by as much as 900 ppm during the day, with the magnitude of this diel variation being strongest at the low-turbulence streams. Diel patterns in CO2 concentrations in turn influenced evasion, with up to 45% higher rates at night. Throughout the summer, CO2 evasion was sustained by aquatic ecosystem respiration, which was one order of magnitude higher than gross primary production. Furthermore, in most cases, the contribution of stream respiration exceeded CO2 evasion, suggesting that some stream reaches serve as net sources of CO2, thus creating longitudinal heterogeneity in C production and loss within this stream network. Overall, our results provide the first link between stream metabolism and CO2 evasion in the Arctic and demonstrate that stream metabolic processes are key drivers of the transformation and fate of terrestrial organic matter exported from these landscapes.\n
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\n \n\n \n \n \n \n \n \n Emission of Greenhouse Gases From Water Tracks Draining Arctic Hillslopes.\n \n \n \n \n\n\n \n Harms, T. K.; Rocher‐Ros, G.; and Godsey, S. E.\n\n\n \n\n\n\n Journal of Geophysical Research: Biogeosciences, 125(12): e2020JG005889. 2020.\n _eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2020JG005889\n\n\n\n
\n\n\n\n \n \n \"EmissionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{harms_emission_2020,\n\ttitle = {Emission of {Greenhouse} {Gases} {From} {Water} {Tracks} {Draining} {Arctic} {Hillslopes}},\n\tvolume = {125},\n\tcopyright = {©2020. American Geophysical Union. All Rights Reserved.},\n\tissn = {2169-8961},\n\turl = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020JG005889},\n\tdoi = {10.1029/2020jg005889},\n\tabstract = {Experimental and ambient warming of Arctic tundra results in emissions of greenhouse gases to the atmosphere, contributing to a positive feedback to climate warming. Estimates of gas emissions from lakes and terrestrial tundra confirm the significance of aquatic fluxes in greenhouse gas budgets, whereas few estimates describe emissions from fluvial networks. We measured dissolved gas concentrations and estimated emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from water tracks, vegetated depressions that hydrologically connect hillslope soils to lakes and streams. Concentrations of trace gases generally increased as ground thaw deepened through the growing season, indicating active production of greenhouse gases in thawed soils. Wet antecedent conditions were correlated with a decline in CO2 and CH4 concentrations. Dissolved N2O in excess of atmospheric equilibrium occurred in drier water tracks, but on average water tracks took up N2O from the atmosphere at low rates. Estimated CO2 emission rates for water tracks were among the highest observed for Arctic aquatic ecosystems, whereas CH4 emissions were of similar magnitude to streams. Despite occupying less than 1\\% of total catchment area, surface waters within water tracks were an estimated source of up to 53–85\\% of total CH4 emissions from their catchments and offset the terrestrial C sink by 5–9\\% during the growing season. Water tracks are abundant features of tundra landscapes that contain warmer soils and incur deeper thaw than adjacent terrestrial ecosystems and as such might contribute to ongoing and accelerating release of greenhouse gases from permafrost soils to the atmosphere.},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2021-01-18},\n\tjournal = {Journal of Geophysical Research: Biogeosciences},\n\tauthor = {Harms, Tamara K. and Rocher‐Ros, Gerard and Godsey, Sarah E.},\n\tyear = {2020},\n\tnote = {\\_eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2020JG005889},\n\tkeywords = {\\#nosource, carbon dioxide (CO2), dissolved gases, flow paths, methane (CH4), nitrous oxide (N2O), tundra},\n\tpages = {e2020JG005889},\n}\n\n
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\n Experimental and ambient warming of Arctic tundra results in emissions of greenhouse gases to the atmosphere, contributing to a positive feedback to climate warming. Estimates of gas emissions from lakes and terrestrial tundra confirm the significance of aquatic fluxes in greenhouse gas budgets, whereas few estimates describe emissions from fluvial networks. We measured dissolved gas concentrations and estimated emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from water tracks, vegetated depressions that hydrologically connect hillslope soils to lakes and streams. Concentrations of trace gases generally increased as ground thaw deepened through the growing season, indicating active production of greenhouse gases in thawed soils. Wet antecedent conditions were correlated with a decline in CO2 and CH4 concentrations. Dissolved N2O in excess of atmospheric equilibrium occurred in drier water tracks, but on average water tracks took up N2O from the atmosphere at low rates. Estimated CO2 emission rates for water tracks were among the highest observed for Arctic aquatic ecosystems, whereas CH4 emissions were of similar magnitude to streams. Despite occupying less than 1% of total catchment area, surface waters within water tracks were an estimated source of up to 53–85% of total CH4 emissions from their catchments and offset the terrestrial C sink by 5–9% during the growing season. Water tracks are abundant features of tundra landscapes that contain warmer soils and incur deeper thaw than adjacent terrestrial ecosystems and as such might contribute to ongoing and accelerating release of greenhouse gases from permafrost soils to the atmosphere.\n
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\n  \n 2019\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Biophysical controls on CO2 evasion from Arctic inland waters.\n \n \n \n \n\n\n \n Rocher-Ros, G.\n\n\n \n\n\n\n Ph.D. Thesis, Umeå University, Umeå, Sweden, 2019.\n Publisher: Umeå University\n\n\n\n
\n\n\n\n \n \n \"BiophysicalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@phdthesis{rocher-ros_biophysical_2019,\n\taddress = {Umeå, Sweden},\n\ttype = {Doctoral {Thesis}},\n\ttitle = {Biophysical controls on {CO2} evasion from {Arctic} inland waters},\n\turl = {http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-158882},\n\tabstract = {DiVA portal is a finding tool for research publications and student theses written at the following 49 universities and research institutions.},\n\tlanguage = {eng},\n\turldate = {2020-03-19},\n\tschool = {Umeå University},\n\tauthor = {Rocher-Ros, Gerard},\n\tcollaborator = {Giesler, Reiner and Sponseller, Ryan A. and Bergström, Ann-Kristin},\n\tyear = {2019},\n\tnote = {Publisher: Umeå University},\n\tkeywords = {\\#nosource},\n}\n\n
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\n DiVA portal is a finding tool for research publications and student theses written at the following 49 universities and research institutions.\n
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\n \n\n \n \n \n \n \n \n Landscape process domains drive patterns of CO2 evasion from river networks.\n \n \n \n \n\n\n \n Rocher‐Ros, G.; Sponseller, R. A.; Lidberg, W.; Mörth, C.; and Giesler, R.\n\n\n \n\n\n\n Limnology and Oceanography Letters, 4(4): 87–95. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"LandscapePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{rocherros_landscape_2019,\n\ttitle = {Landscape process domains drive patterns of {CO2} evasion from river networks},\n\tvolume = {4},\n\tcopyright = {© 2019 The Authors. Limnology and Oceanography published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography.},\n\tissn = {2378-2242},\n\turl = {https://aslopubs.onlinelibrary.wiley.com/doi/abs/10.1002/lol2.10108},\n\tdoi = {10.1002/lol2.10108},\n\tabstract = {Streams are important emitters of CO2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO2 evasion at scales from 30 to 400 m across a 52.5 km2 catchment in northern Sweden. We found that turbulent reaches never have elevated CO2 concentrations, while less turbulent locations can potentially support a broad range of CO2 concentrations, consistent with global observations. The predictability of stream pCO2 is greatly improved when we include a proxy for soil-stream connectivity. Catchment topography shapes network patterns of evasion by creating hydrologically linked “domains” characterized by high water-atmosphere exchange and/or strong soil-stream connection. This template generates spatial variability in the drivers of CO2 evasion that can strongly bias regional and global estimates. To overcome this complexity, we provide the foundations of a mechanistic framework of CO2 evasion by considering how landscape process domains regulate transfer and supply.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2019-08-30},\n\tjournal = {Limnology and Oceanography Letters},\n\tauthor = {Rocher‐Ros, Gerard and Sponseller, Ryan A. and Lidberg, William and Mörth, Carl-Magnus and Giesler, Reiner},\n\tyear = {2019},\n\tkeywords = {\\#nosource},\n\tpages = {87--95},\n}\n\n
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\n Streams are important emitters of CO2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO2 evasion at scales from 30 to 400 m across a 52.5 km2 catchment in northern Sweden. We found that turbulent reaches never have elevated CO2 concentrations, while less turbulent locations can potentially support a broad range of CO2 concentrations, consistent with global observations. The predictability of stream pCO2 is greatly improved when we include a proxy for soil-stream connectivity. Catchment topography shapes network patterns of evasion by creating hydrologically linked “domains” characterized by high water-atmosphere exchange and/or strong soil-stream connection. This template generates spatial variability in the drivers of CO2 evasion that can strongly bias regional and global estimates. To overcome this complexity, we provide the foundations of a mechanistic framework of CO2 evasion by considering how landscape process domains regulate transfer and supply.\n
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\n  \n 2018\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Persistent nitrogen limitation of stream biofilm communities along climate gradients in the Arctic.\n \n \n \n \n\n\n \n Myrstener, M.; Rocher-Ros, G.; Burrows, R. M.; Bergström, A.; Giesler, R.; and Sponseller, R. A.\n\n\n \n\n\n\n Global Change Biology, 24(8): 3680–3691. 2018.\n _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14117\n\n\n\n
\n\n\n\n \n \n \"PersistentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{myrstener_persistent_2018,\n\ttitle = {Persistent nitrogen limitation of stream biofilm communities along climate gradients in the {Arctic}},\n\tvolume = {24},\n\tcopyright = {© 2018 John Wiley \\& Sons Ltd},\n\tissn = {1365-2486},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.14117},\n\tdoi = {10.1111/gcb.14117},\n\tabstract = {Climate change is rapidly reshaping Arctic landscapes through shifts in vegetation cover and productivity, soil resource mobilization, and hydrological regimes. The implications of these changes for stream ecosystems and food webs is unclear and will depend largely on microbial biofilm responses to concurrent shifts in temperature, light, and resource supply from land. To study those responses, we used nutrient diffusing substrates to manipulate resource supply to biofilm communities along regional gradients in stream temperature, riparian shading, and dissolved organic carbon (DOC) loading in Arctic Sweden. We found strong nitrogen (N) limitation across this gradient for gross primary production, community respiration and chlorophyll-a accumulation. For unamended biofilms, activity and biomass accrual were not closely related to any single physical or chemical driver across this region. However, the magnitude of biofilm response to N addition was: in tundra streams, biofilm response was constrained by thermal regimes, whereas variation in light availability regulated this response in birch and coniferous forest streams. Furthermore, heterotrophic responses to experimental N addition increased across the region with greater stream water concentrations of DOC relative to inorganic N. Thus, future shifts in resource supply to these ecosystems are likely to interact with other concurrent environmental changes to regulate stream productivity. Indeed, our results suggest that in the absence of increased nutrient inputs, Arctic streams will be less sensitive to future changes in other habitat variables such as temperature and DOC loading.},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2024-03-27},\n\tjournal = {Global Change Biology},\n\tauthor = {Myrstener, Maria and Rocher-Ros, Gerard and Burrows, Ryan M. and Bergström, Ann-Kristin and Giesler, Reiner and Sponseller, Ryan A.},\n\tyear = {2018},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14117},\n\tkeywords = {\\#nosource, Arctic, Bioassay, Biofilm, Climate Change, Co-limitation, Nitrogen limitation, Nutrient addition, Stream productivity, bioassay, biofilm, climate change, colimitation, nitrogen limitation, nutrient addition, stream productivity},\n\tpages = {3680--3691},\n}\n\n
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\n Climate change is rapidly reshaping Arctic landscapes through shifts in vegetation cover and productivity, soil resource mobilization, and hydrological regimes. The implications of these changes for stream ecosystems and food webs is unclear and will depend largely on microbial biofilm responses to concurrent shifts in temperature, light, and resource supply from land. To study those responses, we used nutrient diffusing substrates to manipulate resource supply to biofilm communities along regional gradients in stream temperature, riparian shading, and dissolved organic carbon (DOC) loading in Arctic Sweden. We found strong nitrogen (N) limitation across this gradient for gross primary production, community respiration and chlorophyll-a accumulation. For unamended biofilms, activity and biomass accrual were not closely related to any single physical or chemical driver across this region. However, the magnitude of biofilm response to N addition was: in tundra streams, biofilm response was constrained by thermal regimes, whereas variation in light availability regulated this response in birch and coniferous forest streams. Furthermore, heterotrophic responses to experimental N addition increased across the region with greater stream water concentrations of DOC relative to inorganic N. Thus, future shifts in resource supply to these ecosystems are likely to interact with other concurrent environmental changes to regulate stream productivity. Indeed, our results suggest that in the absence of increased nutrient inputs, Arctic streams will be less sensitive to future changes in other habitat variables such as temperature and DOC loading.\n
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\n \n\n \n \n \n \n \n \n Lessons learned from monitoring the stable water isotopic variability in precipitation and streamflow across a snow-dominated subarctic catchment.\n \n \n \n \n\n\n \n Lyon, S. W.; Ploum, S. W.; Velde, Y. v. d.; Rocher-Ros, G.; Mörth, C.; and Giesler, R.\n\n\n \n\n\n\n Arctic, Antarctic, and Alpine Research, 50(1): e1454778. January 2018.\n \n\n\n\n
\n\n\n\n \n \n \"LessonsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lyon_lessons_2018,\n\ttitle = {Lessons learned from monitoring the stable water isotopic variability in precipitation and streamflow across a snow-dominated subarctic catchment},\n\tvolume = {50},\n\tissn = {1523-0430},\n\turl = {https://doi.org/10.1080/15230430.2018.1454778},\n\tdoi = {10.1080/15230430.2018.1454778},\n\tabstract = {This empirical study explores shifts in stable water isotopic composition for a subarctic catchment located in northern Sweden as it transitions from spring freshet to summer low flows. Relative changes in the isotopic composition of streamflow across the main catchment and fifteen nested subcatchments are characterized in relation to the isotopic composition of precipitation. With our sampling campaign, we explore the variability in stream-water isotopic composition that originates from precipitation as the input shifts from snow to rain and as landscape flow pathways change across scales. The isotopic similarity of high-elevation snowpack water and early season rainfall water seen through our sampling scheme made it difficult to truly isolate the impact of seasonal precipitation phase change on stream-water isotopic response. This highlights the need to explicitly consider the complexity of arctic and alpine landscapes when designing sampling strategies to characterize hydrological variability via stable water isotopes. Results show a potential influence of evaporation and source water mixing both spatially (variations with elevation) and temporally (variations from post-freshet to summer flows) on the composition of stream water across Miellajokka. As such, the data collected in this empirical study allow for initial conceptualization of the relative importance of, for example, hydrological connectivity within this mountainous, subarctic landscape.},\n\tnumber = {1},\n\turldate = {2019-08-30},\n\tjournal = {Arctic, Antarctic, and Alpine Research},\n\tauthor = {Lyon, Steve W. and Ploum, Stefan W. and Velde, Ype van der and Rocher-Ros, Gerard and Mörth, Carl-Magnus and Giesler, Reiner},\n\tmonth = jan,\n\tyear = {2018},\n\tkeywords = {\\#nosource, Catchment hydrology, freshet, spring flood, stable water isotopes, tracers},\n\tpages = {e1454778},\n}\n\n
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\n This empirical study explores shifts in stable water isotopic composition for a subarctic catchment located in northern Sweden as it transitions from spring freshet to summer low flows. Relative changes in the isotopic composition of streamflow across the main catchment and fifteen nested subcatchments are characterized in relation to the isotopic composition of precipitation. With our sampling campaign, we explore the variability in stream-water isotopic composition that originates from precipitation as the input shifts from snow to rain and as landscape flow pathways change across scales. The isotopic similarity of high-elevation snowpack water and early season rainfall water seen through our sampling scheme made it difficult to truly isolate the impact of seasonal precipitation phase change on stream-water isotopic response. This highlights the need to explicitly consider the complexity of arctic and alpine landscapes when designing sampling strategies to characterize hydrological variability via stable water isotopes. Results show a potential influence of evaporation and source water mixing both spatially (variations with elevation) and temporally (variations from post-freshet to summer flows) on the composition of stream water across Miellajokka. As such, the data collected in this empirical study allow for initial conceptualization of the relative importance of, for example, hydrological connectivity within this mountainous, subarctic landscape.\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Large Lakes Dominate CO2 Evasion From Lakes in an Arctic Catchment.\n \n \n \n \n\n\n \n Rocher-Ros, G.; Giesler, R.; Lundin, E.; Salimi, S.; Jonsson, A.; and Karlsson, J.\n\n\n \n\n\n\n Geophysical Research Letters, 44(24): 12,254–12,261. 2017.\n _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017GL076146\n\n\n\n
\n\n\n\n \n \n \"LargePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{rocher-ros_large_2017,\n\ttitle = {Large {Lakes} {Dominate} {CO2} {Evasion} {From} {Lakes} in an {Arctic} {Catchment}},\n\tvolume = {44},\n\tcopyright = {©2017. American Geophysical Union. All Rights Reserved.},\n\tissn = {1944-8007},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/2017GL076146},\n\tdoi = {10.1002/2017GL076146},\n\tabstract = {CO2 evasion from freshwater lakes is an important component of the carbon cycle. However, the relative contribution from different lake sizes may vary, since several parameters underlying CO2 flux are size dependent. Here we estimated the annual lake CO2 evasion from a catchment in northern Sweden encompassing about 30,000 differently sized lakes. We show that areal CO2 fluxes decreased rapidly with lake size, but this was counteracted by the greater overall coverage of larger lakes. As a result, total efflux increased with lake size and the single largest lake in the catchment dominated the CO2 evasion (53\\% of all CO2 evaded). By contrast, the contribution from the smallest ponds (about 27,000) was minor ({\\textless}6\\%). Our results emphasize the importance of accounting for both CO2 flux rates and areal contribution of various sized lakes in assessments of CO2 evasion at the landscape scale.},\n\tlanguage = {en},\n\tnumber = {24},\n\turldate = {2024-03-27},\n\tjournal = {Geophysical Research Letters},\n\tauthor = {Rocher-Ros, Gerard and Giesler, Reiner and Lundin, Erik and Salimi, Shokoufeh and Jonsson, Anders and Karlsson, Jan},\n\tyear = {2017},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017GL076146},\n\tkeywords = {\\#nosource, 0414 Biogeochemical cycles, processes, and modeling, 0428 Carbon cycling, 0458 Limnology, 0746 Lakes, 0748 Ponds, lake CO2 evasion, lake size distribution, upscaling C cycle},\n\tpages = {12,254--12,261},\n}\n\n
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\n CO2 evasion from freshwater lakes is an important component of the carbon cycle. However, the relative contribution from different lake sizes may vary, since several parameters underlying CO2 flux are size dependent. Here we estimated the annual lake CO2 evasion from a catchment in northern Sweden encompassing about 30,000 differently sized lakes. We show that areal CO2 fluxes decreased rapidly with lake size, but this was counteracted by the greater overall coverage of larger lakes. As a result, total efflux increased with lake size and the single largest lake in the catchment dominated the CO2 evasion (53% of all CO2 evaded). By contrast, the contribution from the smallest ponds (about 27,000) was minor (\\textless6%). Our results emphasize the importance of accounting for both CO2 flux rates and areal contribution of various sized lakes in assessments of CO2 evasion at the landscape scale.\n
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