Forest structure and individual tree inventories of northeastern Siberia along climatic gradients

Abstract ∘  N, 97–169∘  E), performed between the years 2011 and 2021. The region is characterized by permafrost soils and forests dominated by larch (Larix gmelinii - 1), with both values tending to be higher in the more southerly areas. Observed taxa include Larix Mill., Pinus L., Picea A. Dietr., Abies Mill., Salix L., Betula L., Populus L., Alnus Mill., and Ulmus L. In this study, we present the forest inventory data aggregated per plot. Additionally, we connect the data with different remote sensing data products to find out how accurately forest structure can be predicted from such products. Allometries were calculated to obtain the diameter from height measurements for every species group. For Larix, the most frequent of 10 species groups, allometries depended also on the stand density, as denser stands are characterized by thinner trees, relative to height. The remote sensing products used to compare against the inventory data include climate, forest biomass, canopy height, and forest loss or disturbance. We find that the forest metrics measured in the field can only be reconstructed from the remote sensing data to a limited extent, as they depend on local properties. This illustrates the need for ground inventories like those data we present here. The data can be used for studying the forest structure of northeastern Siberia and for the calibration and validation of remotely sensed data. They are available at https://doi.org/10.1594/PANGAEA.943547.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients ; volume:14 ; number:12 ; year:2022 ; pages:5695-5716 ; extent:22
Earth system science data ; 14, Heft 12 (2022), 5695-5716 (gesamt 22)

Creator
Miesner, Timon
Herzschuh, Ulrike
Pestryakova, Luidmila A.
Wieczorek, Mareike
Zakharov, Evgenii S.
Kolmogorov, Alexei I.
Davydova, Paraskovya V.
Kruse, Stefan

DOI
10.5194/essd-14-5695-2022
URN
urn:nbn:de:101:1-2022122904203191268160
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:36 AM CEST

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