Regional Summer Temperature Reconstruction in the Khibiny Low Mountains (Kola Peninsula, NW Russia) by Means of Tree-ring Width during the Last Four Centuries

Kononov, Yu. D.; Friedrich, Michael; Boettger, T.

doi:10.1657/1938-4246-41.4.460

Cited by 30 publications

(36 citation statements)

References 45 publications

(53 reference statements)

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“…The data include the recently updated and bias-corrected ring width (SWR) and maximum density (SXD) from Sweden [5,21,22], ring width (FRW), height increment (FHI), and maximum density (FXD) from Finland [4,23], as well as ring width (RRW) from the Kola peninsula, Russia [4,24]. The ring width (SRW and FRW) data sets are large, including data from 650 and 536 trees, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…The four instrumental temperature records used in calibrations show remarkable agreement justifying their averaging to a regional mean. July is usually one of the most important factors among monthly temperatures related to various growth parameters from different parts of the region [12,21,23,24,54]. When the six proxies were individually regressed on mean July temperature, only FXD and RRW passed the verification trials in the l-f range, SRW and SXD in the m-f range, and all but the two XD series in the h-f range.…”

Section: Ec-lv Lc-evmentioning

confidence: 99%

“…Thus, comparisons of indexing methods targeting different (dependent) frequency response are pertinent in dendroclimatological reconstruction work [16,24,61]. When the three types (l-f, m-f, and h-f) of reconstruction models are plotted together with the target June-August temperature their differences are not immediately apparent, even between the two extremes-30-year spline and RCS-based series-although the differences in closer detail are distinct and the h-f type reproduces the finer details more meticulously than the two other types.…”

Section: Ec-lv Lc-evmentioning

confidence: 99%

See 2 more Smart Citations

Six Temperature Proxies of Scots Pine from the Interior of Northern Fennoscandia Combined in Three Frequency Ranges

Lindholm¹,

Ogurtsov

Jalkanen³

et al. 2014

Journal of Climatology

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Six chronologies based on the growth of Scots pine from the inland of northern Fennoscandia were built to separately enhance low, medium, and higher frequencies in growth variability in 1000-2002. Several periodicities of growth were found in common in these data. Five of the low-frequency series have a significant oscillatory mode at 200-250 years of cycle length. Most series also have strong multidecadal scale variability and significant peaks at 33, 67, or 83-125 years. Reconstruction models for mean July and June-August as well as three longer period temperatures were built and compared using stringent verification statistics. We describe main differences in model performance ( 2 = 0.53-0.62) between individual proxies as well as their various averages depending on provenance and proxy type, length of target period, and frequency range. A separate medium-frequency chronology (a proxy for June-August temperatures) is presented, which is closely similar in amplitude and duration to the last two cycles of the Atlantic multidecadal oscillation (AMO). The good synchrony between these two series is only hampered by a 10-year difference in timing. Recognizing a strong medium-frequency component in Fennoscandian climate proxies helps to explain part of the uncertainties in their 20th century trends.

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Section: Methodsmentioning

confidence: 99%

Section: Ec-lv Lc-evmentioning

confidence: 99%

Section: Ec-lv Lc-evmentioning

confidence: 99%

See 1 more Smart Citation

Six Temperature Proxies of Scots Pine from the Interior of Northern Fennoscandia Combined in Three Frequency Ranges

Lindholm¹,

Ogurtsov

Jalkanen³

et al. 2014

Journal of Climatology

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“…Tree-ring time series are witnesses of the environment and climate that influenced their growth in the past (Fritts, 1976;Kononov et al, 2009;Muraki et al, 2015); therefore they can be used for climate studies in local regions and for particular time periods without instrumental measurements. Tree growth lasts from germination to death, and it is influenced by several simultaneous environmental factors.…”

Section: Introductionmentioning

confidence: 99%

Araucaria growth response to solar and climate variability in South Brazil

et al. 2018

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Abstract. In this work, the Sun-Earth-climate relationship is studied using tree growth rings of Araucaria angustifolia (Bertol.) O. Kuntze collected in the city of Passo Fundo, located in the state of Rio Grande do Sul (RS), Brazil. These samples were previously studied by Rigozo et al. (2008); however, their main interest was to search for the solar periodicities in the tree-ring width mean time series without interpreting the rest of the periodicities found. The question arises as to what are the drivers related to those periodicities. For this reason, the classical method of spectral analysis by iterative regression and wavelet methods are applied to find periodicities and trends present in each tree-ring growth, in Southern Oscillation Index (SOI), and in annual mean temperature anomaly between the 24 and 44 • S. In order to address the aforementioned question, this paper discusses the correlation between the growth rate of the tree rings with temperature and SOI. In each tree-ring growth series, periods between 2 and 7 years were found, possibly related to the El Niño/La Niña phenomena, and a ∼ 23-year period was found, which may be related to temperature variation. These novel results might represent the tree-ring growth response to local climate conditions during its lifetime, and to nonlinear coupling between the Sun and the local climate variability responsible to the regional climate variations.

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“…Climatic signal in tree-ring width chronologies of conifers in European Russia (ER) was analysed previously by local studies (Bitvinskas, 1974;Molchanov, 1976;Lovelius, 1979;Chernavskaya et al, 1996;Pushin et al, 2000;Lopatin et al, 2008;Kononov et al, 2009;Lopatin and Alekseev, 2009;Rumyantsev, 2010). Extended network of ring width and maximum density chronologies was built and analysed for the Northern tree line in Russia, including its European part (Schweingruber and Briffa, 1996;Briffa et al, 2001Briffa et al, , 2002aBriffa et al, , 2002b.…”

Section: Introductionmentioning

confidence: 99%

Climatic signal in tree‐ring width chronologies of conifers in European Russia

Matskovsky

2015

Intl Journal of Climatology

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Although European part of Russia is the largest forest-covered part of Europe, dendroclimatic data for high-resolution climate reconstructions are still scarce in this region. Climatic response of 62 tree-ring width chronologies of pine (Pinus sylvestris), spruce (Picea abies, Picea obovata) and larch (Larix sibirica) was analysed over a large area in the northern and central parts of European Russia (54-70 ∘ N, 29-57 ∘ E). The use of several climatic archives including the data from meteorological stations and gridded datasets allowed identifying the most important climatic parameters impacting the radial growth of conifers in the study region. Our results showed that all conifers growing to the north of 60 ∘ N react positively to summer temperature. To the south, at the latitude of 54-56 ∘ N, the signal is changing and the ring width depends on the combination of two parameters -warmth and humidity (precipitation, Palmer Drought Severity Index, soil moisture). These findings are in correspondence with analogous studies from nearby regions (Europe and Fennoscandia) and large-scale studies for the whole Northern Hemisphere. Although three genera of conifers were studied, pine is much better represented in the analysed network, and the results for spruce and larch have to be confirmed in further studies. The negative correlation of the spruce-ring width with the temperature of previous growing season has been defined for 16 of 17 studied chronologies.

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Regional Summer Temperature Reconstruction in the Khibiny Low Mountains (Kola Peninsula, NW Russia) by Means of Tree-ring Width during the Last Four Centuries

Cited by 30 publications

References 45 publications

Six Temperature Proxies of Scots Pine from the Interior of Northern Fennoscandia Combined in Three Frequency Ranges

Six Temperature Proxies of Scots Pine from the Interior of Northern Fennoscandia Combined in Three Frequency Ranges

Araucaria growth response to solar and climate variability in South Brazil

Climatic signal in tree‐ring width chronologies of conifers in European Russia

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