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10. The seasonal sensitivity of brown bear denning phenology in response to climatic variability

Author

Delgado, M M, Tikhonov, G, Meyke, E, Babushkin, M, Bespalova, T, Bondarchuk, S, Esengeldenova, A, Fedchenko, I, Kalinkin, Y, Knorre, A, Kosenkov, G, Kozsheechkin, V, Kuznetsov, A, Larin, E, Mirsaitov, D, Prokosheva, I, Rozhkov, Y, Rykov, A, Seryodkin, I V, Shubin, S, Sibgatullin, R, Sikkila, N, Sitnikova, E, Sultangareeva, L, Vasin, A, Yarushina, L, Kurhinen, J, and Penteriani, V

Published
2018
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16. Growth of Norms in L of Derivatives of the Steklov Functions and Properties Defined by the Best Approximations and Fourier Coefficients.

Author

Babushkin, M. and Zhuk, V.

Subjects
MATRIX norms, MATHEMATICAL functions, DERIVATIVES (Mathematics), APPROXIMATION theory, COEFFICIENTS (Statistics)
Abstract

In the paper, for periodic functions, a connection between integrals of norms in L of derivatives of the Steklov functions and series constructed from Fourier coefficients and the best approximations in L is established, and the question on their simultaneous convergence or divergence is examined. Similar investigations are carried out for even and odd periodic functions. Bibliography: 13 titles. [ABSTRACT FROM AUTHOR]

Published
2017
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17. The human lower leg muscle pump functions as a flow diverter pump, maintaining low ambulatory venous pressures during locomotion.

Author

Tauraginskii RA, Lurie F, Simakov S, Agalarov R, Khramtsov P, Babushkin M, Gurina T, and Borsuk D

Abstract

Objective: Ambulatory venous pressure (AVP) is the drop of pressure observed in the superficial veins of the lower leg during movement. This phenomenon has been linked to the function of the calf muscle pump (CMP) and the competence of venous valves. Nevertheless, the concept of the CMP function remains controversial. This study aimed to elucidate the association between lower leg muscles activity, changes in pressure in distinct venous segments, and lower extremity arterial blood supply in healthy subjects during various types and intensities of exercise., Methods: Twelve legs of nine healthy volunteers were enrolled in the study. Continuous pressure (intramuscular vein [IV] and three great saphenous vein [GSV] points) and surface electromyography data (gastrocnemius and anterior tibial [ATM] muscles) were recorded during treadmill walking, running, and plantar flexion exercises. The pressure gradient (ΔP, mmHg) between adjacent points of measurement was calculated. Minute unit power of muscle pump ejection and suction (N E , and N S , MPa/min) were calculated and compared with the arterial blood supply of the lower extremity (LBF, L/min)., Results: ΔP demonstrated a consistent pattern of changes during walking and running. In GSV, the ΔP was observed to be directed from the thigh to the mid-calf (retrogradely) and from the ankle to the mid-calf (anterogradely) throughout the entire stride cycle. However, its value decreased with increasing stride cycle frequency. The dynamics of ΔP between the IV and GSV were as follows: It was directed from the IV to GSV during gastrocnemius contraction and was reversed during anterior tibial muscle contraction and gastrocnemius relaxation (swing phase). LBF, N E , and N S demonstrated similar exponential growth with increasing stride frequency during walking and running., Conclusions: During natural locomotion, the muscle pump acts as a flow diverter pump, redirecting the flow of blood from the superficial veins to the intramuscular veins via the perforating veins. During ambulation, the pressure in the superficial venous network depends upon the capacity of the muscle pump to provide output that matches the changes in arterial blood flow., Competing Interests: Disclosures None., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Published
2024
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18. Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

Author

Delgado MDM, Roslin T, Tikhonov G, Meyke E, Lo C, Gurarie E, Abadonova M, Abduraimov O, Adrianova O, Akimova T, Akkiev M, Ananin A, Andreeva E, Andriychuk N, Antipin M, Arzamascev K, Babina S, Babushkin M, Bakin O, Barabancova A, Basilskaja I, Belova N, Belyaeva N, Bespalova T, Bisikalova E, Bobretsov A, Bobrov V, Bobrovskyi V, Bochkareva E, Bogdanov G, Bolshakov V, Bondarchuk S, Bukharova E, Butunina A, Buyvolov Y, Buyvolova A, Bykov Y, Chakhireva E, Chashchina O, Cherenkova N, Chistjakov S, Chuhontseva S, Davydov EA, Demchenko V, Diadicheva E, Dobrolyubov A, Dostoyevskaya L, Drovnina S, Drozdova Z, Dubanaev A, Dubrovsky Y, Elsukov S, Epova L, Ermakova OS, Ermakova O, Esengeldenova A, Evstigneev O, Fedchenko I, Fedotova V, Filatova T, Gashev S, Gavrilov A, Gaydysh I, Golovcov D, Goncharova N, Gorbunova E, Gordeeva T, Grishchenko V, Gromyko L, Hohryakov V, Hritankov A, Ignatenko E, Igosheva S, Ivanova U, Ivanova N, Kalinkin Y, Kaygorodova E, Kazansky F, Kiseleva D, Knorre A, Kolpashikov L, Korobov E, Korolyova H, Korotkikh N, Kosenkov G, Kossenko S, Kotlugalyamova E, Kozlovsky E, Kozsheechkin V, Kozurak A, Kozyr I, Krasnopevtseva A, Kruglikov S, Kuberskaya O, Kudryavtsev A, Kulebyakina E, Kulsha Y, Kupriyanova M, Kurbanbagamaev M, Kutenkov A, Kutenkova N, Kuyantseva N, Kuznetsov A, Larin E, Lebedev P, Litvinov K, Luzhkova N, Mahmudov A, Makovkina L, Mamontov V, Mayorova S, Megalinskaja I, Meydus A, Minin A, Mitrofanov O, Motruk M, Myslenkov A, Nasonova N, Nemtseva N, Nesterova I, Nezdoliy T, Niroda T, Novikova T, Panicheva D, Pavlov A, Pavlova K, Van P, Podolski S, Polikarpova N, Polyanskaya T, Pospelov I, Pospelova E, Prokhorov I, Prokosheva I, Puchnina L, Putrashyk I, Raiskaya J, Rozhkov Y, Rozhkova O, Rudenko M, Rybnikova I, Rykova S, Sahnevich M, Samoylov A, Sanko V, Sapelnikova I, Sazonov S, Selyunina Z, Shalaeva K, Shashkov M, Shcherbakov A, Shevchyk V, Shubin S, Shujskaja E, Sibgatullin R, Sikkila N, Sitnikova E, Sivkov A, Skok N, Skorokhodova S, Smirnova E, Sokolova G, Sopin V, Spasovski Y, Stepanov S, Stratiy V, Strekalovskaya V, Sukhov A, Suleymanova G, Sultangareeva L, Teleganova V, Teplov V, Teplova V, Tertitsa T, Timoshkin V, Tirski D, Tolmachev A, Tomilin A, Tselishcheva L, Turgunov M, Tyukh Y, Van V, Ershkova E, Vasin A, Vasina A, Vekliuk A, Vetchinnikova L, Vinogradov V, Volodchenkov N, Voloshina I, Xoliqov T, Yablonovska-Grishchenko E, Yakovlev V, Yakovleva M, Yantser O, Yarema Y, Zahvatov A, Zakharov V, Zelenetskiy N, Zheltukhin A, Zubina T, Kurhinen J, and Ovaskainen O

Subjects
Animals, Ecosystem, Seasons, Temperature, USSR, Adaptation, Physiological physiology, Climate Change, Environmental Monitoring, Population
Abstract

For species to stay temporally tuned to their environment, they use cues such as the accumulation of degree-days. The relationships between the timing of a phenological event in a population and its environmental cue can be described by a population-level reaction norm. Variation in reaction norms along environmental gradients may either intensify the environmental effects on timing (cogradient variation) or attenuate the effects (countergradient variation). To resolve spatial and seasonal variation in species' response, we use a unique dataset of 91 taxa and 178 phenological events observed across a network of 472 monitoring sites, spread across the nations of the former Soviet Union. We show that compared to local rates of advancement of phenological events with the advancement of temperature-related cues (i.e., variation within site over years), spatial variation in reaction norms tend to accentuate responses in spring (cogradient variation) and attenuate them in autumn (countergradient variation). As a result, among-population variation in the timing of events is greater in spring and less in autumn than if all populations followed the same reaction norm regardless of location. Despite such signs of local adaptation, overall phenotypic plasticity was not sufficient for phenological events to keep exact pace with their cues-the earlier the year, the more did the timing of the phenological event lag behind the timing of the cue. Overall, these patterns suggest that differences in the spatial versus temporal reaction norms will affect species' response to climate change in opposite ways in spring and autumn., Competing Interests: The authors declare no competing interest., (Copyright © 2020 the Author(s). Published by PNAS.)

Published
2020
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19. Author Correction: Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.

Author

Ovaskainen O, Meyke E, Lo C, Tikhonov G, Delgado MDM, Roslin T, Gurarie E, Abadonova M, Abduraimov O, Adrianova O, Akimova T, Akkiev M, Ananin A, Andreeva E, Andriychuk N, Antipin M, Arzamascev K, Babina S, Babushkin M, Bakin O, Barabancova A, Basilskaja I, Belova N, Belyaeva N, Bespalova T, Bisikalova E, Bobretsov A, Bobrov V, Bobrovskyi V, Bochkareva E, Bogdanov G, Bolshakov V, Bondarchuk S, Bukharova E, Butunina A, Buyvolov Y, Buyvolova A, Bykov Y, Chakhireva E, Chashchina O, Cherenkova N, Chistjakov S, Chuhontseva S, Davydov EA, Demchenko V, Diadicheva E, Dobrolyubov A, Dostoyevskaya L, Drovnina S, Drozdova Z, Dubanaev A, Dubrovsky Y, Elsukov S, Epova L, Ermakova OS, Ermakova O, Esengeldenova A, Evstigneev O, Fedchenko I, Fedotova V, Filatova T, Gashev S, Gavrilov A, Gaydysh I, Golovcov D, Goncharova N, Gorbunova E, Gordeeva T, Grishchenko V, Gromyko L, Hohryakov V, Hritankov A, Ignatenko E, Igosheva S, Ivanova U, Ivanova N, Kalinkin Y, Kaygorodova E, Kazansky F, Kiseleva D, Knorre A, Kolpashikov L, Korobov E, Korolyova H, Korotkikh N, Kosenkov G, Kossenko S, Kotlugalyamova E, Kozlovsky E, Kozsheechkin V, Kozurak A, Kozyr I, Krasnopevtseva A, Kruglikov S, Kuberskaya O, Kudryavtsev A, Kulebyakina E, Kulsha Y, Kupriyanova M, Kurbanbagamaev M, Kutenkov A, Kutenkova N, Kuyantseva N, Kuznetsov A, Larin E, Lebedev P, Litvinov K, Luzhkova N, Mahmudov A, Makovkina L, Mamontov V, Mayorova S, Megalinskaja I, Meydus A, Minin A, Mitrofanov O, Motruk M, Myslenkov A, Nasonova N, Nemtseva N, Nesterova I, Nezdoliy T, Niroda T, Novikova T, Panicheva D, Pavlov A, Pavlova K, Petrenko P, Podolski S, Polikarpova N, Polyanskaya T, Pospelov I, Pospelova E, Prokhorov I, Prokosheva I, Puchnina L, Putrashyk I, Raiskaya J, Rozhkov Y, Rozhkova O, Rudenko M, Rybnikova I, Rykova S, Sahnevich M, Samoylov A, Sanko V, Sapelnikova I, Sazonov S, Selyunina Z, Shalaeva K, Shashkov M, Shcherbakov A, Shevchyk V, Shubin S, Shujskaja E, Sibgatullin R, Sikkila N, Sitnikova E, Sivkov A, Skok N, Skorokhodova S, Smirnova E, Sokolova G, Sopin V, Spasovski Y, Stepanov S, Stratiy V, Strekalovskaya V, Sukhov A, Suleymanova G, Sultangareeva L, Teleganova V, Teplov V, Teplova V, Tertitsa T, Timoshkin V, Tirski D, Tolmachev A, Tomilin A, Tselishcheva L, Turgunov M, Tyukh Y, Vladimir V, Vargot E, Vasin A, Vasina A, Vekliuk A, Vetchinnikova L, Vinogradov V, Volodchenkov N, Voloshina I, Xoliqov T, Yablonovska-Grishchenko E, Yakovlev V, Yakovleva M, Yantser O, Yarema Y, Zahvatov A, Zakharov V, Zelenetskiy N, Zheltukhin A, Zubina T, and Kurhinen J

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020
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20. Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.

Author

Ovaskainen O, Meyke E, Lo C, Tikhonov G, Delgado MDM, Roslin T, Gurarie E, Abadonova M, Abduraimov O, Adrianova O, Akimova T, Akkiev M, Ananin A, Andreeva E, Andriychuk N, Antipin M, Arzamascev K, Babina S, Babushkin M, Bakin O, Barabancova A, Basilskaja I, Belova N, Belyaeva N, Bespalova T, Bisikalova E, Bobretsov A, Bobrov V, Bobrovskyi V, Bochkareva E, Bogdanov G, Bolshakov V, Bondarchuk S, Bukharova E, Butunina A, Buyvolov Y, Buyvolova A, Bykov Y, Chakhireva E, Chashchina O, Cherenkova N, Chistjakov S, Chuhontseva S, Davydov EA, Demchenko V, Diadicheva E, Dobrolyubov A, Dostoyevskaya L, Drovnina S, Drozdova Z, Dubanaev A, Dubrovsky Y, Elsukov S, Epova L, Ermakova OS, Ermakova O, Esengeldenova A, Evstigneev O, Fedchenko I, Fedotova V, Filatova T, Gashev S, Gavrilov A, Gaydysh I, Golovcov D, Goncharova N, Gorbunova E, Gordeeva T, Grishchenko V, Gromyko L, Hohryakov V, Hritankov A, Ignatenko E, Igosheva S, Ivanova U, Ivanova N, Kalinkin Y, Kaygorodova E, Kazansky F, Kiseleva D, Knorre A, Kolpashikov L, Korobov E, Korolyova H, Korotkikh N, Kosenkov G, Kossenko S, Kotlugalyamova E, Kozlovsky E, Kozsheechkin V, Kozurak A, Kozyr I, Krasnopevtseva A, Kruglikov S, Kuberskaya O, Kudryavtsev A, Kulebyakina E, Kulsha Y, Kupriyanova M, Kurbanbagamaev M, Kutenkov A, Kutenkova N, Kuyantseva N, Kuznetsov A, Larin E, Lebedev P, Litvinov K, Luzhkova N, Mahmudov A, Makovkina L, Mamontov V, Mayorova S, Megalinskaja I, Meydus A, Minin A, Mitrofanov O, Motruk M, Myslenkov A, Nasonova N, Nemtseva N, Nesterova I, Nezdoliy T, Niroda T, Novikova T, Panicheva D, Pavlov A, Pavlova K, Petrenko P, Podolski S, Polikarpova N, Polyanskaya T, Pospelov I, Pospelova E, Prokhorov I, Prokosheva I, Puchnina L, Putrashyk I, Raiskaya J, Rozhkov Y, Rozhkova O, Rudenko M, Rybnikova I, Rykova S, Sahnevich M, Samoylov A, Sanko V, Sapelnikova I, Sazonov S, Selyunina Z, Shalaeva K, Shashkov M, Shcherbakov A, Shevchyk V, Shubin S, Shujskaja E, Sibgatullin R, Sikkila N, Sitnikova E, Sivkov A, Skok N, Skorokhodova S, Smirnova E, Sokolova G, Sopin V, Spasovski Y, Stepanov S, Stratiy V, Strekalovskaya V, Sukhov A, Suleymanova G, Sultangareeva L, Teleganova V, Teplov V, Teplova V, Tertitsa T, Timoshkin V, Tirski D, Tolmachev A, Tomilin A, Tselishcheva L, Turgunov M, Tyukh Y, Vladimir V, Vargot E, Vasin A, Vasina A, Vekliuk A, Vetchinnikova L, Vinogradov V, Volodchenkov N, Voloshina I, Xoliqov T, Yablonovska-Grishchenko E, Yakovlev V, Yakovleva M, Yantser O, Yarema Y, Zahvatov A, Zakharov V, Zelenetskiy N, Zheltukhin A, Zubina T, and Kurhinen J

Subjects
Kyrgyzstan, Republic of Belarus, Russia, Seasons, Ukraine, Uzbekistan, Biota, Climate Change, Databases, Factual
Abstract

We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.

Published
2020
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