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1000 Titel
  • Variability and drivers of winter near-surface temperatures over boreal and tundra landscapes
1000 Autor/in
  1. Tyystjärvi, Vilna |
  2. Niittynen, Pekka |
  3. Kemppinen, Julia |
  4. Luoto, Miska |
  5. Rissanen, Tuuli |
  6. Aalto, Juha |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-01-29
1000 Erschienen in
1000 Quellenangabe
  • 18(1):403-423
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/tc-18-403-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Winter near-surface air temperatures have important implications for ecosystem functioning such as vegetation dynamics and carbon cycling. In cold environments, the persistence of seasonal snow cover can exert a strong control on the near-surface temperatures. However, the lack of in situ measurements of both snow cover duration and surface temperatures over high latitudes has made it difficult to estimate the spatio-temporal variability in this relationship. Here, we quantified the fine-scale variability in winter near-surface air temperatures (+2 cm) and snow cover duration (calculated from temperature time series) using a total of 441 microclimate loggers in seven study areas across boreal and tundra landscapes in Finland during 2019–2021. We further examined the drivers behind this variation using a structural equation model and the extent to which near-surface air temperatures are buffered from free-air temperatures during winter. Our results show that while average winter near-surface temperatures stay close to 0 ∘C across the study domain, there are large differences in their fine-scale variability among the study areas. Areas with large topographical variation, as well as areas with shallow snowpacks, showed the greatest variation in near-surface temperatures and in snow cover duration. In the tundra, for example, differences in minimum near-surface temperatures between study sites were close to 30 ∘C and topography was shown to be an important driver of this variability. In contrast, flat topography and long snow cover duration led to little spatial variation, as well as long periods of decoupling between near-surface and air temperatures. Quantifying and understanding the landscape-wide variation in winter microclimates improves our ability to predict the local effects of climate change in the rapidly warming boreal and tundra regions. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/VHl5c3Rqw6RydmksIFZpbG5h|https://frl.publisso.de/adhoc/uri/TmlpdHR5bmVuLCBQZWtrYQ==|https://frl.publisso.de/adhoc/uri/S2VtcHBpbmVuLCBKdWxpYQ==|https://frl.publisso.de/adhoc/uri/THVvdG8sIE1pc2th|https://frl.publisso.de/adhoc/uri/Umlzc2FuZW4sIFR1dWxp|https://frl.publisso.de/adhoc/uri/QWFsdG8sIEp1aGE=
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1000 Label
1000 Förderer
  1. Research Council of Finland |
  2. Helsingin Yliopisto |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Research Council of Finland |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Helsingin Yliopisto |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6480463.rdf
1000 Erstellt am 2024-05-23T14:41:38.155+0200
1000 Erstellt von 322
1000 beschreibt frl:6480463
1000 Zuletzt bearbeitet Mon May 27 10:28:45 CEST 2024
1000 Objekt bearb. Mon May 27 10:28:45 CEST 2024
1000 Vgl. frl:6480463
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