Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.

10 páginas. A combination of empirical modeling and a diatom-based transfer function was developed to reconstruct air temperature and ice-cover duration through the study of lake sediments. By using a thermal degree-day modeling approach, ice-cover duration on European mountain and sub-Arctic lakes...

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Main Authors: Thompson, R., Cameron, N., Jones, V., Bigler, C., Rosén, P., Hall, R. I., Catalán, Jordi, García, J., Weckstrom, J., Korhola, A.
Format: Article in Journal/Newspaper
Language:English
Published: University of Colorado 2005
Subjects:
Online Access:http://hdl.handle.net/10261/44436
https://doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2
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spelling ftcsic:oai:digital.csic.es:10261/44436 2024-02-11T09:56:15+01:00 Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635. Thompson, R. Cameron, N. Jones, V. Bigler, C. Rosén, P. Hall, R. I. Catalán, Jordi García, J. Weckstrom, J. Korhola, A. 2005 http://hdl.handle.net/10261/44436 https://doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2 en eng University of Colorado http://dx.doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2 Arctic, Antarctic, and Alpine Research 37(4) : 626-635 (2005) 1523-0430 http://hdl.handle.net/10261/44436 doi:10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2 none artículo http://purl.org/coar/resource_type/c_6501 2005 ftcsic https://doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2 2024-01-16T09:35:31Z 10 páginas. A combination of empirical modeling and a diatom-based transfer function was developed to reconstruct air temperature and ice-cover duration through the study of lake sediments. By using a thermal degree-day modeling approach, ice-cover duration on European mountain and sub-Arctic lakes is found to be very sensitive to temperature change. For example, our model, which incorporates a weather generator, predicts a 100-day shortening in ice-cover duration for a 3°C temperature rise for catchments at elevations of 1500 m in the Southern Alps and the Pyrenees. For the more maritime lakes of Scotland, 30% higher sensitivities (130 d per 3°C) are found, whereas lakes in northwest Finland, in a more continental setting, have only half the sensitivity (50 d per 3°C). A pan-European data set of the species abundance of 252 diatom taxa in 459 mountain and sub-Arctic lakes has been compiled and taxonomically harmonized. Transfer functions were created that relate both seasonal air temperature and ice-cover duration to diatom species composition on the basis of a weighted averaging-partial least squares (WA-PLS) approach. Cross validation was used to test the transfer functions. For ice-cover duration the pan-European data set yields an R-squared value of 0.73, a jack-knifed R-squared value of 0.58, and a residual-mean-square error of prediction (RMSEP) of 23 days. A regional, northern Fennoscandian transect (151 lakes, 122 taxa) yields a jack-knifed R-squared value of 0.50 and an RMSEP of 9 days. For air temperature the pan-European database displayed greatest skill when reconstructing winter or spring temperatures. This result contrasts with the summer temperatures normally studied when using local elevation gradients. The northern Fennoscandian transect has a remarkably low winter RMSEP of 0.73°C. Peer reviewed Article in Journal/Newspaper Antarc* Antarctic Antarctic and Alpine Research Arctic Arctic Fennoscandian Digital.CSIC (Spanish National Research Council) Antarctic Arctic
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
description 10 páginas. A combination of empirical modeling and a diatom-based transfer function was developed to reconstruct air temperature and ice-cover duration through the study of lake sediments. By using a thermal degree-day modeling approach, ice-cover duration on European mountain and sub-Arctic lakes is found to be very sensitive to temperature change. For example, our model, which incorporates a weather generator, predicts a 100-day shortening in ice-cover duration for a 3°C temperature rise for catchments at elevations of 1500 m in the Southern Alps and the Pyrenees. For the more maritime lakes of Scotland, 30% higher sensitivities (130 d per 3°C) are found, whereas lakes in northwest Finland, in a more continental setting, have only half the sensitivity (50 d per 3°C). A pan-European data set of the species abundance of 252 diatom taxa in 459 mountain and sub-Arctic lakes has been compiled and taxonomically harmonized. Transfer functions were created that relate both seasonal air temperature and ice-cover duration to diatom species composition on the basis of a weighted averaging-partial least squares (WA-PLS) approach. Cross validation was used to test the transfer functions. For ice-cover duration the pan-European data set yields an R-squared value of 0.73, a jack-knifed R-squared value of 0.58, and a residual-mean-square error of prediction (RMSEP) of 23 days. A regional, northern Fennoscandian transect (151 lakes, 122 taxa) yields a jack-knifed R-squared value of 0.50 and an RMSEP of 9 days. For air temperature the pan-European database displayed greatest skill when reconstructing winter or spring temperatures. This result contrasts with the summer temperatures normally studied when using local elevation gradients. The northern Fennoscandian transect has a remarkably low winter RMSEP of 0.73°C. Peer reviewed
format Article in Journal/Newspaper
author Thompson, R.
Cameron, N.
Jones, V.
Bigler, C.
Rosén, P.
Hall, R. I.
Catalán, Jordi
García, J.
Weckstrom, J.
Korhola, A.
spellingShingle Thompson, R.
Cameron, N.
Jones, V.
Bigler, C.
Rosén, P.
Hall, R. I.
Catalán, Jordi
García, J.
Weckstrom, J.
Korhola, A.
Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
author_facet Thompson, R.
Cameron, N.
Jones, V.
Bigler, C.
Rosén, P.
Hall, R. I.
Catalán, Jordi
García, J.
Weckstrom, J.
Korhola, A.
author_sort Thompson, R.
title Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
title_short Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
title_full Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
title_fullStr Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
title_full_unstemmed Quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. Arctic, Antarctic and Alpine Research, 37(4): 626-635.
title_sort quantitative calibration of remote mountain lake sediments as climatic recorders of air temperature and ice-cover duration. arctic, antarctic and alpine research, 37(4): 626-635.
publisher University of Colorado
publishDate 2005
url http://hdl.handle.net/10261/44436
https://doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Antarctic and Alpine Research
Arctic
Arctic
Fennoscandian
genre_facet Antarc*
Antarctic
Antarctic and Alpine Research
Arctic
Arctic
Fennoscandian
op_relation http://dx.doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2
Arctic, Antarctic, and Alpine Research 37(4) : 626-635 (2005)
1523-0430
http://hdl.handle.net/10261/44436
doi:10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2
op_rights none
op_doi https://doi.org/10.1657/1523-0430(2005)037[0626:QCORMS]2.0.CO;2
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