Anatoly Prokushkin

Dr. Anatoly Prokushkin

Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 November 2005 in Global Change Biology
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KMKarel Mokany
Karel Mokany
RRR. John Raison
R. John Raison
Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin

11 February 2022 in Global Change Biology
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JLJonas Lembrechts
Jonas Lembrechts
JHJohan van Den Hoogen
Johan van Den Hoogen
JAJuha Aalto
Juha Aalto
MAMichael B. Ashcroft
Michael B. Ashcroft
PFPieter De Frenne
Pieter De Frenne
JLJonathan Lenoir
Jonathan Lenoir
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.

1 October 2012 in Geochimica et Cosmochimica Acta
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RAR.M.W. Amon
R.M.W. Amon
ARA.J. Rinehart
A.J. Rinehart
SDS. Duan
S. Duan
PLP. Louchouarn
P. Louchouarn
Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin
AZA.V. Zhulidov
A.V. Zhulidov

11 May 2020 in Nature Climate Change
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MHManuel Helbig
Manuel Helbig
JWJames Michael Waddington
James Michael Waddington
PAPavel Alekseychik
Pavel Alekseychik
BABrian D. Amiro
Brian D. Amiro
MAMika Aurela
Mika Aurela
VZVyacheslav Zyrianov
Vyacheslav Zyrianov
The response of evapotranspiration (ET) to warming is of critical importance to the water and carbon cycle of the boreal biome, a mosaic of land cover types dominated by forests and peatlands. The effect of warming-induced vapour pressure deficit (VPD) increases on boreal ET remains poorly understood because peatlands are not specifically represented as plant functional types in Earth system models. Here we show that peatland ET increases more than forest ET with increasing VPD using observations from 95 eddy covariance tower sites. At high VPD of more than 2 kPa, peatland ET exceeds forest ET by up to 30%. Future (2091–2100) mid-growing season peatland ET is estimated to exceed forest ET by over 20% in about one-third of the boreal biome for RCP4.5 and about two-thirds for RCP8.5. Peatland-specific ET responses to VPD should therefore be included in Earth system models to avoid biases in water and carbon cycle projections.

1 June 2011 in Geochimica et Cosmochimica Acta
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MBMarie-Laure Bagard
Marie-Laure Bagard
FCFrançois Chabaux
François Chabaux
Oleg PokrovskyOleg Pokrovsky
Oleg Pokrovsky
JVJérome Viers
Jérome Viers
Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin
BDBernard Dupré
Bernard Dupré

1 October 2011 in Environmental Research Letters
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Journal Article
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Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin
Oleg PokrovskyOleg Pokrovsky
Oleg Pokrovsky
LSL S Shirokova
L S Shirokova
Mikhail A. KoretsMikhail A. Korets
Mikhail A. Korets
JVJ Viers
J Viers
WMW H McDowell
W H McDowell