Dynamics of paleo-fires in the forest-steppe zone of the Western Siberia

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Abstract

In this work we present the results of reconstruction of the dynamics of paleo-fires over the last 3300 cal. yr BP in the Barabinsk forest-steppe of the Western Siberia based on macrocharcoal analysis and radiocarbon dating of peat deposits of the Nikolaevsky ryam. The authors identified 18 local fire episodes using the CharAnalysis program. At the end of the Subboreal period, 6 local fires occurred, probably caused by dry and cold conditions. In the subAtlantic period of the Holocene, 12 fires were recorded with a peak of pyrogenic activity at 1200-1000 cal. yr BP. This peak of fires is probably associated with the warm and dry conditions of the Medieval Climate Optimum. As a result of the study, it was concluded that the intensity and frequency of paleo-fires in the area of Nikolaevsky ryam were influenced by climatic changes: in dry climatic periods, an increase in fire activity was observed.

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1. Introduction

Throughout the Holocene, there was a change in natural and climatic conditions, which led to the restructuring and evolution of ecosystems. Some of these changes can cause fires. But what is the scale and intensity of the fires in the past? How important is the role of climate in the occurrence of paleo-fire activity? To answer these questions, it is necessary to restore the local pyrogenic dynamics of the past. So we study swamp deposits using the method of macrocharcoal analysis (Mooney and Tinner, 2011). Peat sediments of mires are a reliable archive of paleoecological data. They store information in peat layers in the form of plant organics, palynomorphs, as well as macroscopic charcoal particles (size >100 microns) – direct witnesses of paleo-fires. The method of macrocharcoal analysis allows reconstructing the dynamics of paleo-fires on a local scale (1-3 km from the fire source). As an object of research, we chose extra zonal raised bog – “ryam”, located in the Barabinsk forest-steppe of the West Siberian Plain. The published paleoecological studies in the Barabinsk forest-steppe zone (Naumov et al., 2009; Zhilich et al., 2017; Stepanova and Volkova, 2017; Koronatova and Mironycheva-Tokareva, 2019) are mainly related to the reconstruction of vegetation dynamics and climate change during the Holocene (Zhilich et al., 2017), the study of the formation of peat deposits (Stepanova and Volkova, 2017), and also with the study of modern climate (Koronatova and Mironycheva-Tokareva, 2019) and vegetation (Naumov et al., 2009). But no studies related to the dynamics of paleo-fires have been carried out thus for. Therefore, the aim of this work is to reconstruct the dynamics of paleo-fire activity in the Holocene on the example of the Nikolaevsky ryam of the Barabinsk forest-steppe.

2. Materials and methods

Nikolaevsky ryam (55°09 N, 79°03 E) is located within the Barabinsk forest-steppe (Ubinsky district, Novosibirsk region) in central part of the Ob-Irtysh interfluve of the Western Siberia. Modern vegetation of mire is represented by pine-birch-shrub-sphagnum formations in the center of the ryam, and on the periphery – a hummocky-sedge-reed swamp with an abundant growth of Betula pubescens.

The expedition works were carried out in September 2021. Samples of peat deposits of the Nikolaevsky ryam were selected for macrocharcoal analysis (the thickness of the deposits was 320 cm) from a peat section. Since the peat of the mire is dense and waterlogged, a hollow was dug to a depth of 170 cm, from which a peat monoliths were taken for further processing in the laboratory. The heavenly watered lower layers of the profile made further sampling difficult. From a depth of 170 cm to 320 cm, a core of a peat deposit was extracted using a Russian corer sampler. According to previously published studies (Stepanova and Volkova, 2017), the thickness of peat deposits of the Nikolaevsky ryam is more than 4 meters. In our case more deep peat was very dense and impossible for coring.

The standard method of sample processing by macrocharcoal analysis was used to reconstruct the local history of paleo-fires (Mooney and Tinner, 2011). Samples were taken with a volume of 2 cm3 with an interval of 1-2 cm in each collected peat monolith. All 170 samples of peat deposits were washed with distilled water and sifted through a 125 microns sieve. After chemical treatment of samples by Na₄Р₂О₇ and H₂O₂ (Mooney and Tinner, 2011), charcoal particles in each sample were counted in the Bogorov chamber under a binocular microscope at 45x magnification.

In the radiocarbon laboratory of IMCES SB RAS (Tomsk, Russia), 5 radiocarbon UMS dates were obtained (Table). Based on radiocarbon dates calibrated in the Bacon program (Blaauw and Christen, 2011) in R 4.0.4 (R Core Team, 2020) in system “from the present time” (for zero the reference point was adopted in 1950 yr.), a depth-age model of peat deposits of the Nikolaevsky ryam was constructed and the calendar age of each sample was calculated. All further paleo-reconstructions for this peat section are based on the calibrated (calendar) age.

 

Table. Radiocarbon dates from Nikolaevsky ryam.

Laboratory Code

Sample Depth (cm)

Radiocarbon Date (14C yr BP)

IMCES-14С2271

48-50

450 ± 100

IMCES-14С2267

100-102

1150 ± 110

IMCES-14С2266

118-120

1600 ± 105

IMCES-14С2270

150-152

1745 ± 120

IMCES-14С2269

168-170

1805 ± 150

 

Statistical processing of the obtained numerical data on the number of charcoal macroparticles in the peat deposits of the Nikolaevsky ryam was carried out using the CharAnalysis software package (Higuera, 2009) adapted for the R program. This program made it possible to calculate the rate of accumulation of charcoal particles (CHAR-index), to determine background and threshold values for separating local fires (within a radius of 1-3 km from the source of ignition) from regional fires (at a distance of up to 20 km), as well as to identify local fire episodes. The data of the depth-age model of the deposits of the Nikolaevsky ryam were used as a chronological basis.

3. Results and discussion

The age of peat deposits of the Nikolaevsky ryam was 3300 cal. yr BP according to radiocarbon dating. The study thickness of peat started to form at the end of the Subboreal period in a cold and dry climate (Arkhipov and Volkova, 1994). At this time, 6 local fire episodes were identified (from 3200 to 2500 cal. yr BP) using the CharAnalysis program. The peak of pyrogenic activity occurred at 2900-2800 cal. yr BP with a charcoal accumulation rate of ~400 particles per cm2/year. These data indicate large local fires in the swamp, probably caused by increased aridity of the climate during this period.

In the Subatlantic period of the Holocene, 12 local fire episodes were identified. In the first half of the Subatlantic period (2600-1800 cal. yr BP), 3 local fires occurred with a peak pyrogenic activity at 2500 cal. yr BP and a charcoal accumulation rate of ~ 200 particles per cm2/year. Dry and warm conditions of this period (Arkhipov and Volkova, 1994) could affect the occurrence of fires. In the second half of the Subatlantic period (1800-1000 cal. yr BP) 5 local fire episodes happened. At the same time, maximal peak of fire activity occurred at 1200-1000 cal. yr BP with the highest accumulation rate of charcoal ~600 particles per cm2/year reflecting, possibly, spreading of fire on the surface of mire. These data indicate large local fires at this time. The revealed peak of fire activity coincides with a sharp increase in temperature and a decrease in precipitation of the Medieval Climate Optimum, which probably influenced the increase in fires in the swamp area. In the Late Holocene (1000 cal. yr BP – to the present day), 4 local fire episodes happened. But the activity of paleo-fires is quite low compared to previous periods, and the rate of accumulation of macrocharcoal particles reaches ~150 particles per cm2/year. Probably, the dry climate at the beginning of the Little Ice Age influenced the occurrence of 3 small local fires (600-400 cal. yr BP). The subsequent warming of the climate led to another fire episode ~ 100 cal. yr BP. Fires that occurred in the late Subatlantic period could also occur as a result of anthropogenic influence, since there are localities.

Conclusions

The results obtained indicate a direct influence of climate change on the intensity and scale of fire activity. New paleoecological data showed that fires in this area occurred repeatedly and of varying intensity during 3300 cal. yr BP. The main course of their occurrence was probably dry climatic conditions.

Acknowledgements

The work was carried out with the support of the state budget theme of IMCES SB RAS No. 121031300226-5.

Conflict of interest

The authors declare no conflict of interest.

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About the authors

М. А. Pupysheva

Institute of Monitoring of Climatic and Ecological Systems SB RAS

Author for correspondence.
Email: 455207@mail.ru
Russian Federation, Akademichesky av., 10/3, Tomsk, 634055

T. A. Blyakharchuk

Institute of Monitoring of Climatic and Ecological Systems SB RAS

Email: 455207@mail.ru
Russian Federation, Akademichesky av., 10/3, Tomsk, 634055

References

  1. Arkhipov S.A., Volkova V.S. 1994. Geologicheskaya istoriya, landshafty i klimaty pleystotsena Zapadnoy Sibiri [Geological history, landscapes and climates of Pleistocene Western Siberia]. Novosibirsk: NRC OIGGM SB RAS. (in Russian)
  2. Blaauw M., Christen J.A. 2011. Flexible paleoclimate age-depth models using an 601 autoregressive gamma process. Bayesian Analysis 6: 457-474.
  3. Higuera P. 2009. CharAnalysis 0.9: diagnostic and analytical tools for sediment-charcoal analysis. User’s Guide. Montana State University, University of Illinois. URL: http://CharAnalysis.googlepages.com
  4. Mooney S., Tinner W. 2011. The analysis of charcoal in peat and organic sediments. Mires Peat 7: 1-18.
  5. Koronatova N.G., Mironycheva-Tokareva N.P. 2019. Temperature regime of peat oligotrophic soils of the forest-steppe of Western Siberia (on the example of the Nikolaevsky ryam). Vestnik Tomskogo Gosudarstvennogo Universiteta. Biologiya [Bulletin of Tomsk State University. Biology] 45: 190-209. (in Russian)
  6. Naumov A.V., Kosykh N.P., Parshina E.K. et al. 2009. Upland swamps of the forest-steppe zone, their condition and monitoring. Sibirskiy Ekologicheskiy Zhurnal [Contemporary Problems of Ecology] 16(2): 251-259. (in Russian)
  7. R Core Team 2020 R: a language and environment for statistical computing; R foundation for statistical computing. Vienna. URL: www.r-project.org/index.html
  8. Stepanova V.A., Volkova I.I. 2017. Genesis features of the Nikolaevka ryam in the forest-steppe of Western Siberia. Vestnik Tomskogo Gosudarstvennogo Universiteta. Biologiya [Bulletin of Tomsk State University. Biology] 40: 202-223. (in Russian)
  9. Zhilich S., Rudaya N., Krivonogov S. et al. 2017. Environmental dynamics of the Baraba forest-steppe (Siberia) over the last 8000 years and their impact on the types of economic life of the population. Quaternary Science Reviews 163: 152-161. doi: 10.1016/j.quascirev.2017.03.022

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