Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019

The primary objective of this research is to determine the causes of varying post-fire tree recruitment within larch forests of eastern Siberia and consequences for climate feedbacks via changes in Carbon (C) storage and albedo using a combination of field-based measurements, dendrochronological ana...

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Main Authors: Heather Alexander, Alison Paulson, Jennie DeMarco, Rebecca Hewitt, Jeremy Lichstein, Michael Loranty, Michelle Mack, Ryan McEwan, Eric Borth, Sarah Frankenberg, Seth Robinson
Format: Dataset
Language:unknown
Published: Arctic Data Center 2020
Subjects:
Online Access:https://doi.org/10.18739/A2XG9FB90
id dataone:doi:10.18739/A2XG9FB90
record_format openpolar
spelling dataone:doi:10.18739/A2XG9FB90 2024-06-03T18:46:48+00:00 Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019 Heather Alexander Alison Paulson Jennie DeMarco Rebecca Hewitt Jeremy Lichstein Michael Loranty Michelle Mack Ryan McEwan Eric Borth Sarah Frankenberg Seth Robinson Siberia near the Northeast Science Station; in Cherskiy, Russia Siberia near the Spasskaya Pad Scientific Forest Station; close to Yakutsk, Russia Siberia east of the Lena River near Nizhniyi Bestyakh ENVELOPE(154.23853,162.47128,69.09942,67.16714) BEGINDATE: 2018-06-25T00:00:00Z ENDDATE: 2019-07-07T00:00:00Z 2020-01-01T00:00:00Z https://doi.org/10.18739/A2XG9FB90 unknown Arctic Data Center fire Siberia larch Larix permafrost soil organic layer mycorrhizal abundance Larix cajanderi Dataset 2020 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2XG9FB90 2024-06-03T18:16:39Z The primary objective of this research is to determine the causes of varying post-fire tree recruitment within larch forests of eastern Siberia and consequences for climate feedbacks via changes in Carbon (C) storage and albedo using a combination of field-based measurements, dendrochronological analysis, remotely-sensed data, and statistical modelling. This dataset contains field data from 6 burned areas in eastern Siberia, collected during June and July 2018. Within each burned area, we measured larch seedling recruitment (density and size), overstory, understory, and shrub composition, active layer depth, soil organic layer composition, soil nutrients, and canopy cover in a series of "extensive plots" along transects. In "intensive plots" with varying larch seedling density, we collected detailed information on larch recruitment age, size, and density, mycorrhizal abundance and composition on larch seedling roots, soil organic layer characteristics, understory vegetation, ectomycorrhizal host presence, canopy cover, and soil nutrients, moisture, and temperature. Dataset Cherskiy lena river permafrost Yakutsk Siberia Arctic Data Center (via DataONE) Yakutsk Spasskaya ENVELOPE(41.440,41.440,64.287,64.287) Cherskiy ENVELOPE(161.332,161.332,68.753,68.753) Bestyakh ENVELOPE(122.983,122.983,66.050,66.050) ENVELOPE(154.23853,162.47128,69.09942,67.16714)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic fire
Siberia
larch
Larix
permafrost
soil organic layer
mycorrhizal abundance
Larix cajanderi
spellingShingle fire
Siberia
larch
Larix
permafrost
soil organic layer
mycorrhizal abundance
Larix cajanderi
Heather Alexander
Alison Paulson
Jennie DeMarco
Rebecca Hewitt
Jeremy Lichstein
Michael Loranty
Michelle Mack
Ryan McEwan
Eric Borth
Sarah Frankenberg
Seth Robinson
Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
topic_facet fire
Siberia
larch
Larix
permafrost
soil organic layer
mycorrhizal abundance
Larix cajanderi
description The primary objective of this research is to determine the causes of varying post-fire tree recruitment within larch forests of eastern Siberia and consequences for climate feedbacks via changes in Carbon (C) storage and albedo using a combination of field-based measurements, dendrochronological analysis, remotely-sensed data, and statistical modelling. This dataset contains field data from 6 burned areas in eastern Siberia, collected during June and July 2018. Within each burned area, we measured larch seedling recruitment (density and size), overstory, understory, and shrub composition, active layer depth, soil organic layer composition, soil nutrients, and canopy cover in a series of "extensive plots" along transects. In "intensive plots" with varying larch seedling density, we collected detailed information on larch recruitment age, size, and density, mycorrhizal abundance and composition on larch seedling roots, soil organic layer characteristics, understory vegetation, ectomycorrhizal host presence, canopy cover, and soil nutrients, moisture, and temperature.
format Dataset
author Heather Alexander
Alison Paulson
Jennie DeMarco
Rebecca Hewitt
Jeremy Lichstein
Michael Loranty
Michelle Mack
Ryan McEwan
Eric Borth
Sarah Frankenberg
Seth Robinson
author_facet Heather Alexander
Alison Paulson
Jennie DeMarco
Rebecca Hewitt
Jeremy Lichstein
Michael Loranty
Michelle Mack
Ryan McEwan
Eric Borth
Sarah Frankenberg
Seth Robinson
author_sort Heather Alexander
title Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
title_short Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
title_full Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
title_fullStr Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
title_full_unstemmed Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019
title_sort fire influences on forest recovery and associated climate feedbacks in siberian larch forests, russia, 2018-2019
publisher Arctic Data Center
publishDate 2020
url https://doi.org/10.18739/A2XG9FB90
op_coverage Siberia near the Northeast Science Station; in Cherskiy, Russia
Siberia near the Spasskaya Pad Scientific Forest Station; close to Yakutsk, Russia
Siberia east of the Lena River near Nizhniyi Bestyakh
ENVELOPE(154.23853,162.47128,69.09942,67.16714)
BEGINDATE: 2018-06-25T00:00:00Z ENDDATE: 2019-07-07T00:00:00Z
long_lat ENVELOPE(41.440,41.440,64.287,64.287)
ENVELOPE(161.332,161.332,68.753,68.753)
ENVELOPE(122.983,122.983,66.050,66.050)
ENVELOPE(154.23853,162.47128,69.09942,67.16714)
geographic Yakutsk
Spasskaya
Cherskiy
Bestyakh
geographic_facet Yakutsk
Spasskaya
Cherskiy
Bestyakh
genre Cherskiy
lena river
permafrost
Yakutsk
Siberia
genre_facet Cherskiy
lena river
permafrost
Yakutsk
Siberia
op_doi https://doi.org/10.18739/A2XG9FB90
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