Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...

Boreal forest and tundra biomes are key components of the Earth system because the mobilization of large carbon stocks and changes in energy balance could act as positive feedbacks to ongoing climate change. In Alaska, wildfire is a primary driver of ecosystem structure and function, and a key mecha...

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Main Authors: Hoecker, Tyler, Higuera, Philip, Kelly, Ryan, Hu, Feng Sheng
Format: Dataset
Language:English
Published: Dryad 2020
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.0gb5mkkxv
https://datadryad.org/stash/dataset/doi:10.5061/dryad.0gb5mkkxv
id ftdatacite:10.5061/dryad.0gb5mkkxv
record_format openpolar
spelling ftdatacite:10.5061/dryad.0gb5mkkxv 2024-01-28T10:04:14+01:00 Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ... Hoecker, Tyler Higuera, Philip Kelly, Ryan Hu, Feng Sheng 2020 https://dx.doi.org/10.5061/dryad.0gb5mkkxv https://datadryad.org/stash/dataset/doi:10.5061/dryad.0gb5mkkxv en eng Dryad https://dx.doi.org/10.1890/12-0840.1 https://dx.doi.org/10.1073/pnas.1305069110 https://dx.doi.org/10.1890/11-0387.1 https://dx.doi.org/10.1890/07-2019.1 https://dx.doi.org/10.1007/s11027-005-9015-4 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 boreal ecosystem Fire frequency Dataset dataset 2020 ftdatacite https://doi.org/10.5061/dryad.0gb5mkkxv10.1890/12-0840.110.1073/pnas.130506911010.1890/11-0387.110.1890/07-2019.110.1007/s11027-005-9015-4 2024-01-04T15:08:29Z Boreal forest and tundra biomes are key components of the Earth system because the mobilization of large carbon stocks and changes in energy balance could act as positive feedbacks to ongoing climate change. In Alaska, wildfire is a primary driver of ecosystem structure and function, and a key mechanism coupling high-latitude ecosystems to global climate. Paleoecological records reveal sensitivity of fire regimes to climatic and vegetation change over centennial-millennial time scales, highlighting increased burning concurrent with warming or elevated landscape flammability. To quantify spatiotemporal patterns in fire-regime variability, we synthesized 27 published sediment-charcoal records from four Alaskan ecoregions, and compared patterns to paleoclimate and paleovegetation records. Biomass burning and fire frequency increased significantly in boreal forest ecoregions with the expansion of black spruce, ca. 6-4 thousand years before present (yr BP). Biomass burning also increased during warm periods, ... : All 27 lake-sediment charcoal records were developed with virtually identical methods, originally published by: Higuera et al. 2007, 2009, 2011 a/b, Kelly et al. 2013 and Barrett et al. 2013. Sediment cores were collected from small (< 10 ha), deep (> 5 m) lakes with simple basin shapes and minimal inlets or outlets, using a polycarbonate tube fitted with a piston and/or a modified Livingstone coring device. Core tops were sampled in the field at continuous 0.5-1.0 cm intervals, and in the laboratory, cores were sampled in contiguous 0.25-0.5 cm intervals, with 0.5-3.0 cm3 samples taken for charcoal analysis. Samples were treated with sodium metaphosphate, oxidized with sodium hypochlorite or hydrogen peroxide, and sieved to isolate macroscopic charcoal (> 150-180 um). Charcoal particles were counted at 10-40x with a stereomicroscope, and CHAR (pieces cm-2 year-1) was derived as the product of charcoal concentrations (pieces cm-3) and sediment accumulation rates (cm yr-1). Sediment accumulation ... Dataset Arctic Climate change Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) Arctic Barrett ENVELOPE(-126.773,-126.773,54.428,54.428) Livingstone ENVELOPE(-134.337,-134.337,61.333,61.333)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic boreal ecosystem
Fire frequency
spellingShingle boreal ecosystem
Fire frequency
Hoecker, Tyler
Higuera, Philip
Kelly, Ryan
Hu, Feng Sheng
Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
topic_facet boreal ecosystem
Fire frequency
description Boreal forest and tundra biomes are key components of the Earth system because the mobilization of large carbon stocks and changes in energy balance could act as positive feedbacks to ongoing climate change. In Alaska, wildfire is a primary driver of ecosystem structure and function, and a key mechanism coupling high-latitude ecosystems to global climate. Paleoecological records reveal sensitivity of fire regimes to climatic and vegetation change over centennial-millennial time scales, highlighting increased burning concurrent with warming or elevated landscape flammability. To quantify spatiotemporal patterns in fire-regime variability, we synthesized 27 published sediment-charcoal records from four Alaskan ecoregions, and compared patterns to paleoclimate and paleovegetation records. Biomass burning and fire frequency increased significantly in boreal forest ecoregions with the expansion of black spruce, ca. 6-4 thousand years before present (yr BP). Biomass burning also increased during warm periods, ... : All 27 lake-sediment charcoal records were developed with virtually identical methods, originally published by: Higuera et al. 2007, 2009, 2011 a/b, Kelly et al. 2013 and Barrett et al. 2013. Sediment cores were collected from small (< 10 ha), deep (> 5 m) lakes with simple basin shapes and minimal inlets or outlets, using a polycarbonate tube fitted with a piston and/or a modified Livingstone coring device. Core tops were sampled in the field at continuous 0.5-1.0 cm intervals, and in the laboratory, cores were sampled in contiguous 0.25-0.5 cm intervals, with 0.5-3.0 cm3 samples taken for charcoal analysis. Samples were treated with sodium metaphosphate, oxidized with sodium hypochlorite or hydrogen peroxide, and sieved to isolate macroscopic charcoal (> 150-180 um). Charcoal particles were counted at 10-40x with a stereomicroscope, and CHAR (pieces cm-2 year-1) was derived as the product of charcoal concentrations (pieces cm-3) and sediment accumulation rates (cm yr-1). Sediment accumulation ...
format Dataset
author Hoecker, Tyler
Higuera, Philip
Kelly, Ryan
Hu, Feng Sheng
author_facet Hoecker, Tyler
Higuera, Philip
Kelly, Ryan
Hu, Feng Sheng
author_sort Hoecker, Tyler
title Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
title_short Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
title_full Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
title_fullStr Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
title_full_unstemmed Data from: Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability ...
title_sort data from: arctic and boreal paleofire records reveal drivers of fire activity and departures from holocene variability ...
publisher Dryad
publishDate 2020
url https://dx.doi.org/10.5061/dryad.0gb5mkkxv
https://datadryad.org/stash/dataset/doi:10.5061/dryad.0gb5mkkxv
long_lat ENVELOPE(-126.773,-126.773,54.428,54.428)
ENVELOPE(-134.337,-134.337,61.333,61.333)
geographic Arctic
Barrett
Livingstone
geographic_facet Arctic
Barrett
Livingstone
genre Arctic
Climate change
Tundra
Alaska
genre_facet Arctic
Climate change
Tundra
Alaska
op_relation https://dx.doi.org/10.1890/12-0840.1
https://dx.doi.org/10.1073/pnas.1305069110
https://dx.doi.org/10.1890/11-0387.1
https://dx.doi.org/10.1890/07-2019.1
https://dx.doi.org/10.1007/s11027-005-9015-4
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.0gb5mkkxv10.1890/12-0840.110.1073/pnas.130506911010.1890/11-0387.110.1890/07-2019.110.1007/s11027-005-9015-4
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