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...

Full description

Bibliographic Details
Main Authors: Alexander, Heather, Paulson, Alison, DeMarco, Jennie, Hewitt, Rebecca, Lichstein, Jeremy, Loranty, Michael, Mack, Michelle, McEwan, Ryan, Borth, Eric, Frankenberg, Sarah, Robinson, Seth
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2020
Subjects:
Online Access:https://dx.doi.org/10.18739/a2ws8hm8b
https://arcticdata.io/catalog/view/doi:10.18739/A2WS8HM8B
id ftdatacite:10.18739/a2ws8hm8b
record_format openpolar
spelling ftdatacite:10.18739/a2ws8hm8b 2023-05-15T17:57:45+02:00 Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019 Alexander, Heather Paulson, Alison DeMarco, Jennie Hewitt, Rebecca Lichstein, Jeremy Loranty, Michael Mack, Michelle McEwan, Ryan Borth, Eric Frankenberg, Sarah Robinson, Seth 2020 text/xml https://dx.doi.org/10.18739/a2ws8hm8b https://arcticdata.io/catalog/view/doi:10.18739/A2WS8HM8B en eng NSF Arctic Data Center fire Siberia larch Larix permafrost soil organic layer mycorrhizal abundance dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2ws8hm8b 2021-11-05T12:55:41Z 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 permafrost Siberia DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic fire
Siberia
larch
Larix
permafrost
soil organic layer
mycorrhizal abundance
spellingShingle fire
Siberia
larch
Larix
permafrost
soil organic layer
mycorrhizal abundance
Alexander, Heather
Paulson, Alison
DeMarco, Jennie
Hewitt, Rebecca
Lichstein, Jeremy
Loranty, Michael
Mack, Michelle
McEwan, Ryan
Borth, Eric
Frankenberg, Sarah
Robinson, Seth
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
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 Alexander, Heather
Paulson, Alison
DeMarco, Jennie
Hewitt, Rebecca
Lichstein, Jeremy
Loranty, Michael
Mack, Michelle
McEwan, Ryan
Borth, Eric
Frankenberg, Sarah
Robinson, Seth
author_facet Alexander, Heather
Paulson, Alison
DeMarco, Jennie
Hewitt, Rebecca
Lichstein, Jeremy
Loranty, Michael
Mack, Michelle
McEwan, Ryan
Borth, Eric
Frankenberg, Sarah
Robinson, Seth
author_sort Alexander, Heather
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 NSF Arctic Data Center
publishDate 2020
url https://dx.doi.org/10.18739/a2ws8hm8b
https://arcticdata.io/catalog/view/doi:10.18739/A2WS8HM8B
genre permafrost
Siberia
genre_facet permafrost
Siberia
op_doi https://doi.org/10.18739/a2ws8hm8b
_version_ 1766166254011285504