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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Online Access: | https://dx.doi.org/10.5061/dryad.0gb5mkkxv https://datadryad.org/stash/dataset/doi:10.5061/dryad.0gb5mkkxv |
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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 |
_version_ |
1789329839237365760 |