Articles | Volume 10, issue 11
https://doi.org/10.5194/bg-10-7263-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-10-7263-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Nov 2013
Research article |
| 13 Nov 2013
Phytoplankton community structure in the Lena Delta (Siberia, Russia) in relation to hydrography
A. C. Kraberg
Biologische Anstalt Helgoland, Alfred Wegener Institute for Polar and Marine Research, Kurpromenade 201, 27498 Helgoland, Germany
E. Druzhkova
Murmansk Marine Biological Institute, Kola Science Centre, Russian Academy of Sciences, Vladimirskaya St. 17, 183010 Murmansk, Russia
Alfred Wegener Institute for Polar and Marine Research, Telegrafenberg A43, 14473 Potsdam, Germany
M. J. G. Loeder
Biologische Anstalt Helgoland, Alfred Wegener Institute for Polar and Marine Research, Kurpromenade 201, 27498 Helgoland, Germany
K. H. Wiltshire
Biologische Anstalt Helgoland, Alfred Wegener Institute for Polar and Marine Research, Kurpromenade 201, 27498 Helgoland, Germany
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B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
Bennet Juhls, Anne Morgenstern, Jens Hölemann, Antje Eulenburg, Birgit Heim, Frederieke Miesner, Hendrik Grotheer, Gesine Mollenhauer, Hanno Meyer, Ephraim Erkens, Felica Yara Gehde, Sofia Antonova, Sergey Chalov, Maria Tereshina, Oxana Erina, Evgeniya Fingert, Ekaterina Abramova, Tina Sanders, Liudmila Lebedeva, Nikolai Torgovkin, Georgii Maksimov, Vasily Povazhnyi, Rafael Gonçalves-Araujo, Urban Wünsch, Antonina Chetverova, Sophie Opfergelt, and Pier Paul Overduin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-290, https://doi.org/10.5194/essd-2024-290, 2024
Revised manuscript accepted for ESSD
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The Siberian Arctic is warming fast: permafrost is thawing, river chemistry is changing, and coastal ecosystems are affected. We want to understand changes to the Lena River, a major Arctic river flowing to the Arctic Ocean, by collecting 4.5 years of detailed water data, including temperature and carbon and nutrient contents. This dataset records current conditions and helps us to detect future changes. Explore it at https://doi.org/10.1594/PANGAEA.913197 and https://lena-monitoring.awi.de/.
Chenzhi Li, Anne Dallmeyer, Jian Ni, Manuel Chevalier, Matteo Willeit, Andrei A. Andreev, Xianyong Cao, Laura Schild, Birgit Heim, and Ulrike Herzschuh
EGUsphere, https://doi.org/10.5194/egusphere-2024-1862, https://doi.org/10.5194/egusphere-2024-1862, 2024
This preprint is open for discussion and under review for Climate of the Past (CP).
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We present a global megabiome dynamics and distributions derived from pollen-based reconstructions over the last 21,000 years, which are suitable for the evaluation of Earth System Model-based paleo-megabiome simulations. We identified strong deviations between pollen- and model-derived megabiome distributions in the circum-Arctic areas and Tibetan Plateau during the Last Glacial Maximum and early deglaciation, as well as in North Africa and the Mediterranean regions during the Holocene.
Annett Bartsch, Aleksandra Efimova, Barbara Widhalm, Xaver Muri, Clemens von Baeckmann, Helena Bergstedt, Ksenia Ermokhina, Gustaf Hugelius, Birgit Heim, and Marina Leibman
Hydrol. Earth Syst. Sci., 28, 2421–2481, https://doi.org/10.5194/hess-28-2421-2024, https://doi.org/10.5194/hess-28-2421-2024, 2024
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Wetness gradients and landcover diversity for the entire Arctic tundra have been assessed using a novel satellite-data-based map. Patterns of lakes, wetlands, general soil moisture conditions and vegetation physiognomy are represented at 10 m. About 40 % of the area north of the treeline falls into three units of dry types, with limited shrub growth. Wetter regions have higher landcover diversity than drier regions.
Simeon Lisovski, Alexandra Runge, Iuliia Shevtsova, Nele Landgraf, Anne Morgenstern, Ronald Reagan Okoth, Matthias Fuchs, Nikolay Lashchinskiy, Carl Stadie, Alison Beamish, Ulrike Herzschuh, Guido Grosse, and Birgit Heim
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-36, https://doi.org/10.5194/essd-2023-36, 2023
Preprint under review for ESSD
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The Lena Delta is the largest river delta in the Arctic, and represents a biodiversity hotspot. Here, we describe multiple field datasets and a detailed habitat classification map for the Lena Delta. We present context and methods of these openly available datasets and show how they can improve our understanding of the rapidly changing Arctic tundra system.
Femke van Geffen, Birgit Heim, Frederic Brieger, Rongwei Geng, Iuliia A. Shevtsova, Luise Schulte, Simone M. Stuenzi, Nadine Bernhardt, Elena I. Troeva, Luidmila A. Pestryakova, Evgenii S. Zakharov, Bringfried Pflug, Ulrike Herzschuh, and Stefan Kruse
Earth Syst. Sci. Data, 14, 4967–4994, https://doi.org/10.5194/essd-14-4967-2022, https://doi.org/10.5194/essd-14-4967-2022, 2022
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SiDroForest is an attempt to remedy data scarcity regarding vegetation data in the circumpolar region, whilst providing adjusted and labeled data for machine learning and upscaling practices. SiDroForest contains four datasets that include SfM point clouds, individually labeled trees, synthetic tree crowns and labeled Sentinel-2 patches that provide insights into the vegetation composition and forest structure of two important vegetation transition zones in Siberia, Russia.
Ulrike Herzschuh, Chenzhi Li, Thomas Böhmer, Alexander K. Postl, Birgit Heim, Andrei A. Andreev, Xianyong Cao, Mareike Wieczorek, and Jian Ni
Earth Syst. Sci. Data, 14, 3213–3227, https://doi.org/10.5194/essd-14-3213-2022, https://doi.org/10.5194/essd-14-3213-2022, 2022
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Pollen preserved in environmental archives such as lake sediments and bogs are extensively used for reconstructions of past vegetation and climate. Here we present LegacyPollen 1.0, a dataset of 2831 fossil pollen records from all over the globe that were collected from publicly available databases. We harmonized the names of the pollen taxa so that all datasets can be jointly investigated. LegacyPollen 1.0 is available as an open-access dataset.
Lydia Stolpmann, Caroline Coch, Anne Morgenstern, Julia Boike, Michael Fritz, Ulrike Herzschuh, Kathleen Stoof-Leichsenring, Yury Dvornikov, Birgit Heim, Josefine Lenz, Amy Larsen, Katey Walter Anthony, Benjamin Jones, Karen Frey, and Guido Grosse
Biogeosciences, 18, 3917–3936, https://doi.org/10.5194/bg-18-3917-2021, https://doi.org/10.5194/bg-18-3917-2021, 2021
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Our new database summarizes DOC concentrations of 2167 water samples from 1833 lakes in permafrost regions across the Arctic to provide insights into linkages between DOC and environment. We found increasing lake DOC concentration with decreasing permafrost extent and higher DOC concentrations in boreal permafrost sites compared to tundra sites. Our study shows that DOC concentration depends on the environmental properties of a lake, especially permafrost extent, ecoregion, and vegetation.
Jens A. Hölemann, Bennet Juhls, Dorothea Bauch, Markus Janout, Boris P. Koch, and Birgit Heim
Biogeosciences, 18, 3637–3655, https://doi.org/10.5194/bg-18-3637-2021, https://doi.org/10.5194/bg-18-3637-2021, 2021
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The Arctic Ocean receives large amounts of river water rich in terrestrial dissolved organic matter (tDOM), which is an important component of the Arctic carbon cycle. Our analysis shows that mixing of three major freshwater sources is the main factor that regulates the distribution of tDOM concentrations in the Siberian shelf seas. In this context, the formation and melting of the land-fast ice in the Laptev Sea and the peak spring discharge of the Lena River are of particular importance.
Iuliia Shevtsova, Ulrike Herzschuh, Birgit Heim, Luise Schulte, Simone Stünzi, Luidmila A. Pestryakova, Evgeniy S. Zakharov, and Stefan Kruse
Biogeosciences, 18, 3343–3366, https://doi.org/10.5194/bg-18-3343-2021, https://doi.org/10.5194/bg-18-3343-2021, 2021
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In the light of climate changes in subarctic regions, notable general increase in above-ground biomass for the past 15 years (2000 to 2017) was estimated along a tundra–taiga gradient of central Chukotka (Russian Far East). The greatest increase occurred in the northern taiga in the areas of larch closed-canopy forest expansion with Cajander larch as a main contributor. For the estimations, we used field data (taxa-separated plant biomass, 2018) and upscaled it based on Landsat satellite data.
Caroline Coch, Bennet Juhls, Scott F. Lamoureux, Melissa J. Lafrenière, Michael Fritz, Birgit Heim, and Hugues Lantuit
Biogeosciences, 16, 4535–4553, https://doi.org/10.5194/bg-16-4535-2019, https://doi.org/10.5194/bg-16-4535-2019, 2019
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Climate change affects Arctic ecosystems. This includes thawing of permafrost (ground below 0 °C) and an increase in rainfall. Both have substantial impacts on the chemical composition of river water. We compared the composition of small rivers in the low and high Arctic with the large Arctic rivers. In comparison, dissolved organic matter in the small rivers is more susceptible to degradation; thus, it could potentially increase carbon dioxide emissions. Rainfall events have a similar effect.
Bennet Juhls, Pier Paul Overduin, Jens Hölemann, Martin Hieronymi, Atsushi Matsuoka, Birgit Heim, and Jürgen Fischer
Biogeosciences, 16, 2693–2713, https://doi.org/10.5194/bg-16-2693-2019, https://doi.org/10.5194/bg-16-2693-2019, 2019
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In this article, we present the variability and characteristics of dissolved organic matter at the fluvial–marine transition in the Laptev Sea from a unique dataset collected during 11 Arctic expeditions. We develop a new relationship between dissolved organic carbon (DOC) and coloured dissolved organic matter absorption, which is used to estimate surface water DOC concentration from space. We believe that our findings help current efforts to monitor ongoing changes in the Arctic carbon cycle.
Sophia Walther, Luis Guanter, Birgit Heim, Martin Jung, Gregory Duveiller, Aleksandra Wolanin, and Torsten Sachs
Biogeosciences, 15, 6221–6256, https://doi.org/10.5194/bg-15-6221-2018, https://doi.org/10.5194/bg-15-6221-2018, 2018
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We explored the timing of the peak of the short annual growing season in tundra ecosystems as indicated by an extensive suite of satellite indicators of vegetation productivity. Delayed peak greenness compared to peak photosynthesis is consistently found across years and land-cover classes. Plants also experience growth after optimal conditions for assimilation regarding light and temperature have passed. Our results have implications for the modelling of the circumpolar carbon balance.
Vera Fofonova, Igor Zhilyaev, Marina Krayneva, Dina Yakshina, Nikita Tananaev, Nina Volkova, and Karen H. Wiltshire
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-254, https://doi.org/10.5194/hess-2016-254, 2016
Manuscript not accepted for further review
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This paper analyses water temperature characteristics in the basin outlet area of the Lena River during the summer season. The analysis is based on a long-term data series at several gauging stations including rare used data, however, which are important for understanding processes in the considered area. We discuss to what extent the water temperature observations near river bank represent the mean stream temperature. As an instrument statistical and deterministic modelling approaches are used.
I. Fedorova, A. Chetverova, D. Bolshiyanov, A. Makarov, J. Boike, B. Heim, A. Morgenstern, P. P. Overduin, C. Wegner, V. Kashina, A. Eulenburg, E. Dobrotina, and I. Sidorina
Biogeosciences, 12, 345–363, https://doi.org/10.5194/bg-12-345-2015, https://doi.org/10.5194/bg-12-345-2015, 2015
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
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Laura Macario-González, Sergio Cohuo, Philipp Hoelzmann, Liseth Pérez, Manuel Elías-Gutiérrez, Margarita Caballero, Alexis Oliva, Margarita Palmieri, María Renée Álvarez, and Antje Schwalb
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Christian G. Andresen and Vanessa L. Lougheed
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Biogeosciences, 16, 769–784, https://doi.org/10.5194/bg-16-769-2019, https://doi.org/10.5194/bg-16-769-2019, 2019
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Claudia Wrozyna, Thomas A. Neubauer, Juliane Meyer, Maria Ines F. Ramos, and Werner E. Piller
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Torsten Hauffe, Christian Albrecht, and Thomas Wilke
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T. R. Vonnahme, M. Devetter, J. D. Žárský, M. Šabacká, and J. Elster
Biogeosciences, 13, 659–674, https://doi.org/10.5194/bg-13-659-2016, https://doi.org/10.5194/bg-13-659-2016, 2016
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The diversity of microalgae and cyanobacteria in cryoconites on three high-Arctic glaciers was investigated. Possible bottom-up controls via nutrient limitation, wind dispersal, and hydrological stability were measured. Grazer populations were quantified to estimate the effect of top-down controls. Nutrient limitation appeared to be the most important control on the diversity and competition outcomes of microalgae and cyanobacteria.
J. Elster, L. Nedbalová, R. Vodrážka, K. Láska, J. Haloda, and J. Komárek
Biogeosciences, 13, 535–549, https://doi.org/10.5194/bg-13-535-2016, https://doi.org/10.5194/bg-13-535-2016, 2016
J. Comte, C. Lovejoy, S. Crevecoeur, and W. F. Vincent
Biogeosciences, 13, 175–190, https://doi.org/10.5194/bg-13-175-2016, https://doi.org/10.5194/bg-13-175-2016, 2016
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K. Föller, B. Stelbrink, T. Hauffe, C. Albrecht, and T. Wilke
Biogeosciences, 12, 7209–7222, https://doi.org/10.5194/bg-12-7209-2015, https://doi.org/10.5194/bg-12-7209-2015, 2015
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S. Bernal, A. Lupon, M. Ribot, F. Sabater, and E. Martí
Biogeosciences, 12, 1941–1954, https://doi.org/10.5194/bg-12-1941-2015, https://doi.org/10.5194/bg-12-1941-2015, 2015
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Terrestrial inputs are considered the major driver of longitudinal patterns of nutrient concentration. Yet we show that longitudinal trends result from hydrological mixing with terrestrial inputs and in-stream processes. We challenge the idea that nutrient concentrations decrease downstream when in-stream net uptake is high. Conversely, in-stream processes can strongly affect stream nutrient chemistry and fluxes even in the absence of consistent longitudinal trends in nutrient concentration.
P. Carrillo, J. M. Medina-Sánchez, C. Durán, G. Herrera, V. E. Villafañe, and E. W. Helbling
Biogeosciences, 12, 697–712, https://doi.org/10.5194/bg-12-697-2015, https://doi.org/10.5194/bg-12-697-2015, 2015
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Under UVR and stratification,the commensalistic algae-bacteria interaction was strengthened in the high-UVR lake, where excretion of organic carbon rates exceeded the bacterial carbon demand,but did not occur in the low-UVR lake.The greater UVR damage to algae and bacteria and the weakening of their commensalistic interaction found in the low-UVR lake indicates these lakes would be especially vulnerable to UVR. These results have implications for the C cycle in lakes of the Mediterranean region.
M. Harzhauser, O. Mandic, A. K. Kern, W. E. Piller, T. A. Neubauer, C. Albrecht, and T. Wilke
Biogeosciences, 10, 8423–8431, https://doi.org/10.5194/bg-10-8423-2013, https://doi.org/10.5194/bg-10-8423-2013, 2013
D. Van Damme and A. Gautier
Biogeosciences, 10, 5767–5778, https://doi.org/10.5194/bg-10-5767-2013, https://doi.org/10.5194/bg-10-5767-2013, 2013
I. Domaizon, O. Savichtcheva, D. Debroas, F. Arnaud, C. Villar, C. Pignol, B. Alric, and M. E. Perga
Biogeosciences, 10, 3817–3838, https://doi.org/10.5194/bg-10-3817-2013, https://doi.org/10.5194/bg-10-3817-2013, 2013
E. W. Helbling, P. Carrillo, J. M. Medina-Sánchez, C. Durán, G. Herrera, M. Villar-Argaiz, and V. E. Villafañe
Biogeosciences, 10, 1037–1050, https://doi.org/10.5194/bg-10-1037-2013, https://doi.org/10.5194/bg-10-1037-2013, 2013
C. H. Hsieh, Y. Sakai, S. Ban, K. Ishikawa, T. Ishikawa, S. Ichise, N. Yamamura, and M. Kumagai
Biogeosciences, 8, 1383–1399, https://doi.org/10.5194/bg-8-1383-2011, https://doi.org/10.5194/bg-8-1383-2011, 2011
T. Hauffe, C. Albrecht, K. Schreiber, K. Birkhofer, S. Trajanovski, and T. Wilke
Biogeosciences, 8, 175–188, https://doi.org/10.5194/bg-8-175-2011, https://doi.org/10.5194/bg-8-175-2011, 2011
G. Kostoski, C. Albrecht, S. Trajanovski, and T. Wilke
Biogeosciences, 7, 3999–4015, https://doi.org/10.5194/bg-7-3999-2010, https://doi.org/10.5194/bg-7-3999-2010, 2010
K. Lindhorst, H. Vogel, S. Krastel, B. Wagner, A. Hilgers, A. Zander, T. Schwenk, M. Wessels, and G. Daut
Biogeosciences, 7, 3531–3548, https://doi.org/10.5194/bg-7-3531-2010, https://doi.org/10.5194/bg-7-3531-2010, 2010
C. Albrecht, H. Vogel, T. Hauffe, and T. Wilke
Biogeosciences, 7, 3435–3446, https://doi.org/10.5194/bg-7-3435-2010, https://doi.org/10.5194/bg-7-3435-2010, 2010
S. Trajanovski, C. Albrecht, K. Schreiber, R. Schultheiß, T. Stadler, M. Benke, and T. Wilke
Biogeosciences, 7, 3387–3402, https://doi.org/10.5194/bg-7-3387-2010, https://doi.org/10.5194/bg-7-3387-2010, 2010
T. Wilke, R. Schultheiß, C. Albrecht, N. Bornmann, S. Trajanovski, and T. Kevrekidis
Biogeosciences, 7, 3051–3065, https://doi.org/10.5194/bg-7-3051-2010, https://doi.org/10.5194/bg-7-3051-2010, 2010
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