Long-term forest composition and its drivers in taiga forest in NW Russia

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F16%3A73136" target="_blank" >RIV/60460709:41320/16:73136 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00334-015-0542-y" target="_blank" >http://dx.doi.org/10.1007/s00334-015-0542-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00334-015-0542-y" target="_blank" >10.1007/s00334-015-0542-y</a>

Result language
angličtina
Original language name
Long-term forest composition and its drivers in taiga forest in NW Russia
Original language description
Understanding the processes behind long-term boreal forest dynamics can provide information that assists in predicting future boreal vegetation under changing environmental conditions. Here, we examine Holocene stand-scale vegetation dynamics and its drivers at the western boundary of the Russian taiga forest in NW Russia. Fossil pollen and conifer stomata records from four small hollow sites and two lake sites are used to reconstruct local vegetation dynamics during the Holocene. Variation partitioning is used to assess the relative importance of the potential drivers (temperature, forest fires and growing site wetness) to the long-term stand-scale dynamics in taiga forest. All the main tree taxa, including the boreal keystone species Picea abies (Norway spruce) and Larix sibirica (Siberian larch), have been locally present since 10,000 cal yr bp. The constant Holocene presence of L. sibirica at three small hollow sites suggests a fast postglacial immigration of the species in northern Europe. Picea
Czech name
—
Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GK - Forestry
OECD FORD branch
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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