2019
DOI: 10.1016/j.scitotenv.2018.10.124
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Tree ring-based reconstruction of the long-term influence of wildfires on permafrost active layer dynamics in Central Siberia

Abstract: Although it has been recognized that rising temperatures and shifts in the hydrological cycle affect the depth of the seasonally thawing upper permafrost stratum, it remains unclear to what extent the frequency and intensity of wildfires, and subsequent changes in vegetation cover, influence the soil active layer on different spatiotemporal scales. Here, we use ring width measurements of the subterranean stem part of 15 larch trees from a Sphagnum bog site in Central Siberia to reconstruct long-term changes in… Show more

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Cited by 48 publications
(37 citation statements)
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References 62 publications
(69 reference statements)
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“…An abrupt decline of δ 13 C in the early 1970s is probably associated with a tipping point in the adaptation of larch trees to the soil conditions that become similar to those in the prior-wildfire period. This fast change could, for instance, be related to the die-off of parts of the roots due to shallower ASL (Knorre et al 2019). Increased iWUE and reduced wood accumulation (BAI) (figure 4) demonstrate a decline in photosynthetic rate as a result of adaptation to cooler soil conditions.…”
Section: Discussionmentioning
confidence: 99%
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“…An abrupt decline of δ 13 C in the early 1970s is probably associated with a tipping point in the adaptation of larch trees to the soil conditions that become similar to those in the prior-wildfire period. This fast change could, for instance, be related to the die-off of parts of the roots due to shallower ASL (Knorre et al 2019). Increased iWUE and reduced wood accumulation (BAI) (figure 4) demonstrate a decline in photosynthetic rate as a result of adaptation to cooler soil conditions.…”
Section: Discussionmentioning
confidence: 99%
“…Dendroecology, however, can provide insights of unique temporal resolution, because tree rings may allow fire histories to be reconstructed (McBride 1983, Stivrins et al 2019. A recent example of the successful utilization of tree rings in wildfire dendroecology is the precise dating of moss buried stems to quantify postwildfire dynamics of the ASL thickness and ground vegetation recovery in northern Siberia (Knorre et al 2019). Moreover, innovate dendrochronological approaches have combined annually-resolved and absolutely-dated ring width measurements with stable isotopic ratios to provide eco-physiological insights into tree-fire interactions (Beghin et al 2012, Battipaglia et al 2014.…”
Section: Introductionmentioning
confidence: 99%
“…Such changes are caused by a decreasing of albedo and heat-insulating properties of the litter and ground cover at the post-fire forest plots [9; 10; 11]. Anomalies of the thermal balance of the underlying surface can be critical for ecosystems under the conditions of the permafrost of Central Siberia [12], as an ecosystem under long-term disorders are characterized by low stability. The ecological importance of Northern forests prevails over their raw material potential [9], and the impact of wildfires can lead to significant changes in environmental conditions.…”
Section: Introductionmentioning
confidence: 99%
“…In some papers, inter-annual fluctuations and trends in river discharges in Siberia are mainly associated with climatic processes [2,[4][5][6]. At the same time, wildfire impact is the main factor, which strongly affected the state of Siberian boreal ecosystems as a whole [7][8][9]. The increased water yields or total runoff primarily resulting from the reduced evapotranspiration have been a reported effect on post-wildfire hydrology [10].…”
Section: Introductionmentioning
confidence: 99%
“…The seasonally thawing soil layer deepens quickly over the first postfire years, and slowly recovers following re-vegetation. Permafrost active layer dynamics as well soil condition changes after wildfires were observed in the region [9,13,14]. Long-term temperature anomalies were evaluated postfire using remote sensing data [12].…”
Section: Introductionmentioning
confidence: 99%