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A critical evaluation of multi-proxy dendroclimatology in northern Finland

Danny McCarroll, Mervi Tuovinen, Rochelle Campbell, Mary Gagen Orcid Logo, Håkan Grudd, Risto Jalkanen, Neil J Loader, Iain Robertson Orcid Logo

Journal of Quaternary Science, Volume: 26, Issue: 1, Start page: 7

Swansea University Authors: Danny McCarroll, Mary Gagen Orcid Logo, Iain Robertson Orcid Logo

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DOI (Published version): 10.1002/jqs.1408

Abstract

Twentieth-century summer (July-August) temperatures in northern Finland are reconstructed using ring widths, maximum density and stable carbon isotope ratios (delta(13)C) of Scots pine tree rings, and using combinations of these proxies. Verification is based on the coefficient of determination (r(2...

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Published in: Journal of Quaternary Science
ISSN: 0267-8179
Published: 2011
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URI: https://cronfa.swan.ac.uk/Record/cronfa1009
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last_indexed 2018-02-09T04:27:49Z
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spelling 2013-09-17T14:15:15.3068583 v2 1009 2012-02-23 A critical evaluation of multi-proxy dendroclimatology in northern Finland 6d181d926aaac8932c2bfa8d0e7f6960 Danny McCarroll Danny McCarroll true false e677a6d0777aed90ac1eca8937e43d2b 0000-0002-6820-6457 Mary Gagen Mary Gagen true false ef8912c57e0140e9ecb2a69b7e34467e 0000-0001-7174-4523 Iain Robertson Iain Robertson true false 2012-02-23 FGSEN Twentieth-century summer (July-August) temperatures in northern Finland are reconstructed using ring widths, maximum density and stable carbon isotope ratios (delta(13)C) of Scots pine tree rings, and using combinations of these proxies. Verification is based on the coefficient of determination (r(2)), reduction of error (RE) and coefficient of efficiency (CE) statistics. Of the individual proxies, delta(13)C performs best, followed by maximum density. Combining delta(13)C and maximum density strengthens the climate signal but adding ring widths leads to little improvement. Blue intensity, an inexpensive alternative to X-ray densitometry, is shown to perform similarly. Multi-proxy reconstruction of summer temperatures from a single site produces strong correlations with gridded climate data over most of northern Fennoscandia. Since relatively few trees are required (<15) the approach could be applied to long sub-fossil chronologies where replication may be episodically low. Journal Article Journal of Quaternary Science 26 1 7 0267-8179 31 12 2011 2011-12-31 10.1002/jqs.1408 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2013-09-17T14:15:15.3068583 2012-02-23T17:01:49.0000000 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Danny McCarroll 1 Mervi Tuovinen 2 Rochelle Campbell 3 Mary Gagen 0000-0002-6820-6457 4 Håkan Grudd 5 Risto Jalkanen 6 Neil J Loader 7 Iain Robertson 0000-0001-7174-4523 8
title A critical evaluation of multi-proxy dendroclimatology in northern Finland
spellingShingle A critical evaluation of multi-proxy dendroclimatology in northern Finland
Danny McCarroll
Mary Gagen
Iain Robertson
title_short A critical evaluation of multi-proxy dendroclimatology in northern Finland
title_full A critical evaluation of multi-proxy dendroclimatology in northern Finland
title_fullStr A critical evaluation of multi-proxy dendroclimatology in northern Finland
title_full_unstemmed A critical evaluation of multi-proxy dendroclimatology in northern Finland
title_sort A critical evaluation of multi-proxy dendroclimatology in northern Finland
author_id_str_mv 6d181d926aaac8932c2bfa8d0e7f6960
e677a6d0777aed90ac1eca8937e43d2b
ef8912c57e0140e9ecb2a69b7e34467e
author_id_fullname_str_mv 6d181d926aaac8932c2bfa8d0e7f6960_***_Danny McCarroll
e677a6d0777aed90ac1eca8937e43d2b_***_Mary Gagen
ef8912c57e0140e9ecb2a69b7e34467e_***_Iain Robertson
author Danny McCarroll
Mary Gagen
Iain Robertson
author2 Danny McCarroll
Mervi Tuovinen
Rochelle Campbell
Mary Gagen
Håkan Grudd
Risto Jalkanen
Neil J Loader
Iain Robertson
format Journal article
container_title Journal of Quaternary Science
container_volume 26
container_issue 1
container_start_page 7
publishDate 2011
institution Swansea University
issn 0267-8179
doi_str_mv 10.1002/jqs.1408
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 0
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description Twentieth-century summer (July-August) temperatures in northern Finland are reconstructed using ring widths, maximum density and stable carbon isotope ratios (delta(13)C) of Scots pine tree rings, and using combinations of these proxies. Verification is based on the coefficient of determination (r(2)), reduction of error (RE) and coefficient of efficiency (CE) statistics. Of the individual proxies, delta(13)C performs best, followed by maximum density. Combining delta(13)C and maximum density strengthens the climate signal but adding ring widths leads to little improvement. Blue intensity, an inexpensive alternative to X-ray densitometry, is shown to perform similarly. Multi-proxy reconstruction of summer temperatures from a single site produces strong correlations with gridded climate data over most of northern Fennoscandia. Since relatively few trees are required (<15) the approach could be applied to long sub-fossil chronologies where replication may be episodically low.
published_date 2011-12-31T03:02:36Z
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