Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5695-2022
https://doi.org/10.5194/essd-14-5695-2022
Data description paper
 | 
22 Dec 2022
Data description paper |  | 22 Dec 2022

Forest structure and individual tree inventories of northeastern Siberia along climatic gradients

Timon Miesner, Ulrike Herzschuh, Luidmila A. Pestryakova, Mareike Wieczorek, Evgenii S. Zakharov, Alexei I. Kolmogorov, Paraskovya V. Davydova, and Stefan Kruse

Related authors

Quantitative climate reconstruction from sedimentary ancient DNA: framework, validation and application
Ulrike Herzschuh, Thomas Böhmer, Weihan Jia, and Simeon Lisovski
EGUsphere, https://doi.org/10.5194/egusphere-2025-2678,https://doi.org/10.5194/egusphere-2025-2678, 2025
This preprint is open for discussion and under review for Climate of the Past (CP).
Short summary
Global biome changes over the last 21 000 years inferred from model–data comparisons
Chenzhi Li, Anne Dallmeyer, Jian Ni, Manuel Chevalier, Matteo Willeit, Andrei A. Andreev, Xianyong Cao, Laura Schild, Birgit Heim, Mareike Wieczorek, and Ulrike Herzschuh
Clim. Past, 21, 1001–1024, https://doi.org/10.5194/cp-21-1001-2025,https://doi.org/10.5194/cp-21-1001-2025, 2025
Short summary
Diatom shifts and limnological changes in a Siberian boreal lake: a multiproxy perspective on climate warming and anthropogenic air pollution
Amelie Stieg, Boris K. Biskaborn, Ulrike Herzschuh, Andreas Marent, Jens Strauss, Dorothee Wilhelms-Dick, Luidmila A. Pestryakova, and Hanno Meyer
Biogeosciences, 22, 2327–2350, https://doi.org/10.5194/bg-22-2327-2025,https://doi.org/10.5194/bg-22-2327-2025, 2025
Short summary
LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14 kyr
Laura Schild, Peter Ewald, Chenzhi Li, Raphaël Hébert, Thomas Laepple, and Ulrike Herzschuh
Earth Syst. Sci. Data, 17, 2007–2033, https://doi.org/10.5194/essd-17-2007-2025,https://doi.org/10.5194/essd-17-2007-2025, 2025
Short summary
A new habitat map of the Lena Delta in Arctic Siberia based on field and remote sensing datasets
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, 17, 1707–1730, https://doi.org/10.5194/essd-17-1707-2025,https://doi.org/10.5194/essd-17-1707-2025, 2025
Short summary

Related subject area

Domain: ESSD – Land | Subject: Biogeosciences and biodiversity
The SahulCHAR collection: a palaeofire database for Australia, New Guinea, and New Zealand
Emma Rehn, Haidee Cadd, Scott Mooney, Tim J. Cohen, Henry Munack, Alexandru T. Codilean, Matthew Adeleye, Kristen K. Beck, Mark Constantine IV, Chris Gouramanis, Johanna M. Hanson, Penelope J. Jones, A. Peter Kershaw, Lydia Mackenzie, Maame Maisie, Michela Mariani, Kia Matley, David McWethy, Keely Mills, Patrick Moss, Nicholas R. Patton, Cassandra Rowe, Janelle Stevenson, John Tibby, and Janet Wilmshurst
Earth Syst. Sci. Data, 17, 2681–2692, https://doi.org/10.5194/essd-17-2681-2025,https://doi.org/10.5194/essd-17-2681-2025, 2025
Short summary
ARGO: ARctic greenhouse Gas Observation metadata version 1
Judith Vogt, Martijn M. T. A. Pallandt, Luana S. Basso, Abdullah Bolek, Kseniia Ivanova, Mark Schlutow, Gerardo Celis, McKenzie Kuhn, Marguerite Mauritz, Edward A. G. Schuur, Kyle Arndt, Anna-Maria Virkkala, Isabel Wargowsky, and Mathias Göckede
Earth Syst. Sci. Data, 17, 2553–2573, https://doi.org/10.5194/essd-17-2553-2025,https://doi.org/10.5194/essd-17-2553-2025, 2025
Short summary
WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022
Qing Ying, Benjamin Poulter, Jennifer D. Watts, Kyle A. Arndt, Anna-Maria Virkkala, Lori Bruhwiler, Youmi Oh, Brendan M. Rogers, Susan M. Natali, Hilary Sullivan, Amanda Armstrong, Eric J. Ward, Luke D. Schiferl, Clayton D. Elder, Olli Peltola, Annett Bartsch, Ankur R. Desai, Eugénie Euskirchen, Mathias Göckede, Bernhard Lehner, Mats B. Nilsson, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Torsten Sachs, Aram Kalhori, Masahito Ueyama, and Zhen Zhang
Earth Syst. Sci. Data, 17, 2507–2534, https://doi.org/10.5194/essd-17-2507-2025,https://doi.org/10.5194/essd-17-2507-2025, 2025
Short summary
The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive
Alba Viana-Soto and Cornelius Senf
Earth Syst. Sci. Data, 17, 2373–2404, https://doi.org/10.5194/essd-17-2373-2025,https://doi.org/10.5194/essd-17-2373-2025, 2025
Short summary
An expert survey on chamber measurement techniques and data handling procedures for methane fluxes
Katharina Jentzsch, Lona van Delden, Matthias Fuchs, and Claire C. Treat
Earth Syst. Sci. Data, 17, 2331–2372, https://doi.org/10.5194/essd-17-2331-2025,https://doi.org/10.5194/essd-17-2331-2025, 2025
Short summary

Cited articles

Abaimov, A. P.: Geographical Distribution and Genetics of Siberian Larch Species, in: Permafrost Ecosystems: Siberian Larch Forests, edited by: Osawa, A., Zyranova, O. A., Matsuura, Y., Kajimoto, T., and Wein, R. W., Springer, 41–58, https://doi.org/10.1007/978-1-4020-9693-8_2, 2010. a
Alexander, H. D., Mack, M. C., Goetz, S., Loranty, M. M., Beck, P. S. A., Earl, K., Zimov, S., Davydov, S., and Thompson, C. C.: Carbon Accumulation Patterns During Post-Fire Succession in Cajander Larch (Larix cajanderi) Forests of Siberia, Ecosystems 15, 1065–1082, https://doi.org/10.1007/s10021-012-9567-6, 2012. a
Bonan, G. B.: Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests, Science, 320, 1444–1449, https://doi.org/10.1126/science.1155121, 2008. a
Cailliez, F. and Alder, D.: Forest volume estimation and yield prediction (Vol. 1), Food and agriculture Organization of the United Nations, Rome, ISBN 92-5-100923-6, https://www.fao.org/3/ap354e/ap354e00.pdf (last access: 29 November 2022), 1980. a
Chen, D., Loboda, T. V., Krylov, A., and Potapov, P.: Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989–2012, ORNL DAAC [data set], https://doi.org/10.3334/ORNLDAAC/1364, 2017. a, b
Download
Short summary
We present data which were collected on expeditions to the northeast of the Russian Federation. One table describes the 226 locations we visited during those expeditions, and the other describes 40 289 trees which we recorded at these locations. We found out that important information on the forest cannot be predicted precisely from satellites. Thus, for anyone interested in distant forests, it is important to go to there and take measurements or use data (as presented here).
Share
Altmetrics
Final-revised paper
Preprint