Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018

Samples to estimate aboveground tree biomass for four boreal forest species ( Larix gmelinii , Picea obovata , Pinus sylvestris , Pinus sibirica ) were collected during fieldwork in Yakutia in 2018 by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and...

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Main Authors: Kruse, Stefan, Herzschuh, Ulrike, Shevtsova, Iuliia, Brieger, Frederic, Schulte, Luise, Stuenzi, Simone M, Pestryakova, Luidmila A, Zakharov, Evgenii S
Format: Dataset
Language:English
Published: Zenodo 2022
Subjects:
AGB
Online Access:https://dx.doi.org/10.5281/zenodo.6145385
https://zenodo.org/record/6145385
id ftdatacite:10.5281/zenodo.6145385
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Aboveground biomass
AGB
Siberia
Boreal Forest
spellingShingle Aboveground biomass
AGB
Siberia
Boreal Forest
Kruse, Stefan
Herzschuh, Ulrike
Shevtsova, Iuliia
Brieger, Frederic
Schulte, Luise
Stuenzi, Simone M
Pestryakova, Luidmila A
Zakharov, Evgenii S
Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
topic_facet Aboveground biomass
AGB
Siberia
Boreal Forest
description Samples to estimate aboveground tree biomass for four boreal forest species ( Larix gmelinii , Picea obovata , Pinus sylvestris , Pinus sibirica ) were collected during fieldwork in Yakutia in 2018 by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany, The Institute for Biological problems of the Cryolithozone, Russian Academy of Sciences, Siberian branch, and The Institute of Natural Sciences, North-Eastern Federal University of Yakutsk, Yakutsk, Russia (Kruse et al., 2019). From each of the visited site, three living trees (a small, a medium-sized and the talles tree) per each site were cut down after estimating the quantity of the different types to be sampled, namely branches, needles, cones, making up the tree. Further, to estimate the stem weight, tree discs were taken. The discs were taken at the base of a tree (0 cm, disc A), breast height (130 cm, disc B) and top/close to the top of a tree (260 cm, disc C). If the tree was small with <1.3 m, its stem is included as woody biomass in the branch sample. To estimate each tree's stem biomass, the stem was assumed to have a cone shape. Dead trees were also sampled, if present. All harvested samples were weighed fresh in the field and subsampled. The dry weight of all subsamples was recorded after oven drying (60 °C, 48 h for needle and branch samples, up to one week for tree stem discs). A detailed protocol for total tree and shrub AGB estimation can be found in Shevtsova, et al. (2020). Data format The data consists of one table for each of the four species. The columns (N=13) contain the follwoing information: 1. TreeDataBaseID -> unique Tree Data Base identifier of the individual 2. Site -> Sampling site name 3. SampleID -> Field name given to the individual 4. Species -> Species name 5. Height_cm -> Height of the tree individual in cm 6. Vitality -> Estimate of the vitality state in 6 levels, ++ very good, + good, 0 mediocre, - bad, -- very bad, dead 7. NeedleWeight_g -> Dry weight of needles in g 8. StemWeight_g -> Dry weight of the stem in g 9. BiomassBranchStatus -> 1 if branches are present and included in the biomass estimate or not 10. TotalWeightNonStem_g -> Dry weight of all parts but the stem, which are needles, branches and cones in g 11. DiameterBasal_cm -> Stem diameter at tree stem base (0 cm above ground) in cm 12. DiameterBreast_cm -> Stem diameter at breast height (130 cm above ground) in cm 13. CrownDiameter_cm -> Mean crown diameter in cm Additional information This data is linked to further information about individual trees and their sites as published in: van Geffen, Femke; Schulte, Luise; Geng, Rongwei; Heim, Birgit; Pestryakova, Luidmila A; Herzschuh, Ulrike; Kruse, Stefan (2021): Tree height and crown diameter during fieldwork expeditions that took place in 2018 in Central Yakutia and Chukotka, Siberia. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.932817 Information about the expedition in 2018 in: Kruse, Stefan; Bolshiyanov, Dimitry Yu; Grigoriev, Mikhail N; Morgenstern, Anne; Pestryakova, Ludmila A; Tsibizov, Leonid; Udke, Annegret (2019): Russian-German Cooperation: Expeditions to Siberia in 2018. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 734, 257 pp, https://doi.org/10.2312/BzPM_0734_2019 Aboveground estimation protocol and further data in: Shevtsova, Iuliia; Kruse, Stefan; Herzschuh, Ulrike; Brieger, Frederic; Schulte, Luise; Stuenzi, Simone Maria; Pestryakova, Ludmila A; Zakharov, Evgenii S (2020): Total above-ground biomass of 39 vegetation sites of central Chukotka from 2018. PANGAEA, https://doi.org/10.1594/PANGAEA.923719 : All data were collected during the expedition Chukotka and Yakutia 2018 expedition, that has been supported by the German Federal Ministry of Education and Research (BMBF), which enabled the Russian-German research programme 'Kohlenstoff im Permafrost KoPf' (grant no. 03F0764A) and by the Initiative and Networking Fund of the Helmholtz Association and by the ERC consolidator grant Glacial Legacy of Ulrike Herzschuh (grant no. 772852).
format Dataset
author Kruse, Stefan
Herzschuh, Ulrike
Shevtsova, Iuliia
Brieger, Frederic
Schulte, Luise
Stuenzi, Simone M
Pestryakova, Luidmila A
Zakharov, Evgenii S
author_facet Kruse, Stefan
Herzschuh, Ulrike
Shevtsova, Iuliia
Brieger, Frederic
Schulte, Luise
Stuenzi, Simone M
Pestryakova, Luidmila A
Zakharov, Evgenii S
author_sort Kruse, Stefan
title Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
title_short Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
title_full Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
title_fullStr Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
title_full_unstemmed Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018
title_sort individual tree aboveground biomass of four pinaceae species in boreal forests in yakutia in 2018
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6145385
https://zenodo.org/record/6145385
long_lat ENVELOPE(130.617,130.617,64.650,64.650)
geographic Yakutsk
Zakharov
geographic_facet Yakutsk
Zakharov
genre Alfred Wegener Institute
Chukotka
permafrost
Yakutia
Yakutsk
Siberia
genre_facet Alfred Wegener Institute
Chukotka
permafrost
Yakutia
Yakutsk
Siberia
op_relation https://dx.doi.org/10.5194/gmd-2021-304
https://dx.doi.org/10.5281/zenodo.6145386
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.6145385
https://doi.org/10.5194/gmd-2021-304
https://doi.org/10.5281/zenodo.6145386
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spelling ftdatacite:10.5281/zenodo.6145385 2023-05-15T13:15:56+02:00 Individual tree aboveground biomass of four Pinaceae species in boreal forests in Yakutia in 2018 Kruse, Stefan Herzschuh, Ulrike Shevtsova, Iuliia Brieger, Frederic Schulte, Luise Stuenzi, Simone M Pestryakova, Luidmila A Zakharov, Evgenii S 2022 https://dx.doi.org/10.5281/zenodo.6145385 https://zenodo.org/record/6145385 en eng Zenodo https://dx.doi.org/10.5194/gmd-2021-304 https://dx.doi.org/10.5281/zenodo.6145386 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Aboveground biomass AGB Siberia Boreal Forest Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.6145385 https://doi.org/10.5194/gmd-2021-304 https://doi.org/10.5281/zenodo.6145386 2022-03-10T13:11:07Z Samples to estimate aboveground tree biomass for four boreal forest species ( Larix gmelinii , Picea obovata , Pinus sylvestris , Pinus sibirica ) were collected during fieldwork in Yakutia in 2018 by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany, The Institute for Biological problems of the Cryolithozone, Russian Academy of Sciences, Siberian branch, and The Institute of Natural Sciences, North-Eastern Federal University of Yakutsk, Yakutsk, Russia (Kruse et al., 2019). From each of the visited site, three living trees (a small, a medium-sized and the talles tree) per each site were cut down after estimating the quantity of the different types to be sampled, namely branches, needles, cones, making up the tree. Further, to estimate the stem weight, tree discs were taken. The discs were taken at the base of a tree (0 cm, disc A), breast height (130 cm, disc B) and top/close to the top of a tree (260 cm, disc C). If the tree was small with <1.3 m, its stem is included as woody biomass in the branch sample. To estimate each tree's stem biomass, the stem was assumed to have a cone shape. Dead trees were also sampled, if present. All harvested samples were weighed fresh in the field and subsampled. The dry weight of all subsamples was recorded after oven drying (60 °C, 48 h for needle and branch samples, up to one week for tree stem discs). A detailed protocol for total tree and shrub AGB estimation can be found in Shevtsova, et al. (2020). Data format The data consists of one table for each of the four species. The columns (N=13) contain the follwoing information: 1. TreeDataBaseID -> unique Tree Data Base identifier of the individual 2. Site -> Sampling site name 3. SampleID -> Field name given to the individual 4. Species -> Species name 5. Height_cm -> Height of the tree individual in cm 6. Vitality -> Estimate of the vitality state in 6 levels, ++ very good, + good, 0 mediocre, - bad, -- very bad, dead 7. NeedleWeight_g -> Dry weight of needles in g 8. StemWeight_g -> Dry weight of the stem in g 9. BiomassBranchStatus -> 1 if branches are present and included in the biomass estimate or not 10. TotalWeightNonStem_g -> Dry weight of all parts but the stem, which are needles, branches and cones in g 11. DiameterBasal_cm -> Stem diameter at tree stem base (0 cm above ground) in cm 12. DiameterBreast_cm -> Stem diameter at breast height (130 cm above ground) in cm 13. CrownDiameter_cm -> Mean crown diameter in cm Additional information This data is linked to further information about individual trees and their sites as published in: van Geffen, Femke; Schulte, Luise; Geng, Rongwei; Heim, Birgit; Pestryakova, Luidmila A; Herzschuh, Ulrike; Kruse, Stefan (2021): Tree height and crown diameter during fieldwork expeditions that took place in 2018 in Central Yakutia and Chukotka, Siberia. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.932817 Information about the expedition in 2018 in: Kruse, Stefan; Bolshiyanov, Dimitry Yu; Grigoriev, Mikhail N; Morgenstern, Anne; Pestryakova, Ludmila A; Tsibizov, Leonid; Udke, Annegret (2019): Russian-German Cooperation: Expeditions to Siberia in 2018. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 734, 257 pp, https://doi.org/10.2312/BzPM_0734_2019 Aboveground estimation protocol and further data in: Shevtsova, Iuliia; Kruse, Stefan; Herzschuh, Ulrike; Brieger, Frederic; Schulte, Luise; Stuenzi, Simone Maria; Pestryakova, Ludmila A; Zakharov, Evgenii S (2020): Total above-ground biomass of 39 vegetation sites of central Chukotka from 2018. PANGAEA, https://doi.org/10.1594/PANGAEA.923719 : All data were collected during the expedition Chukotka and Yakutia 2018 expedition, that has been supported by the German Federal Ministry of Education and Research (BMBF), which enabled the Russian-German research programme 'Kohlenstoff im Permafrost KoPf' (grant no. 03F0764A) and by the Initiative and Networking Fund of the Helmholtz Association and by the ERC consolidator grant Glacial Legacy of Ulrike Herzschuh (grant no. 772852). Dataset Alfred Wegener Institute Chukotka permafrost Yakutia Yakutsk Siberia DataCite Metadata Store (German National Library of Science and Technology) Yakutsk Zakharov ENVELOPE(130.617,130.617,64.650,64.650)