Surface-sediment and epilithic diatom pH calibration sets for remote European mountain lakes (AL:PE Project) and their comparison with the Surface Waters Acidification Programme (SWAP) calibration set
A modern diatom-pH calibration data-set consisting of surface-sediment diatom assemblages from 118 lakes and 530 taxa is presented. The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH r...
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creator | Cameron, N G Birks, H J B Jones, V J Berges, F Catalan, J Flower, R J Garcia, J Kawecka, B Koinig, K A Marchetto, A Sánchez-castillo, P Schmidt, R Sisko, M Solovieva, N Stefková, E Toro, M |
description | A modern diatom-pH calibration data-set consisting of surface-sediment diatom assemblages from 118 lakes and 530 taxa is presented. The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH range = 4.5-8.0; DOC range = 0.2-3.2 mg l^sup -1^). In addition, 92 epilithon samples from 22 high-altitude or high-latitude lakes comprise an AL:PE epilithon diatom-pH data-set. Weighted averaging partial least squares regression is used to develop pH-inference models. The AL:PE data-set has a root-mean-square-error of prediction (RMSEP) of 0.33 and a maximum bias of 0.36 pH units and r^sup 2^ of 0.82, as assessed by leave-one-out cross-validation. The epilithon data-set has, after data-screening and the deletion of one very obvious outlier, a RMSEP of 0.23 and a maximum bias of 0.18 pH units and r^sup 2^ of 0.88. The 167 sample SWAP diatom-pH data-set from lowland or upland lakes in the UK, Norway, and Sweden has a RMSEP of 0.29 and a maximum bias of 0.23 pH units and r^sup 2^ of 0.86. The pH optima, as estimated by weighted averaging and Gaussian regression, are compared for the three data-sets (AL:PE, SWAP, AL:PE epilithon). There is a good correspondence between the AL:PE and the AL:PE epilithon optima, but a consistent bias between the AL:PE and SWAP optima, with the SWAP optima being lower than the AL:PE estimates. The predictive performances of the AL:PE and SWAP calibration data-sets are compared using independent test samples and six core sequences, all from high-altitude lakes, one in south-east Siberia and five in eastern Scotland. The results show the importance of using the AL:PE data-set for inferring lake-water pH from diatom assemblages in high-altitude or high latitude lakes with low DOC concentrations.[PUBLICATION ABSTRACT] |
doi_str_mv | 10.1023/A:1008025928509 |
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The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH range = 4.5-8.0; DOC range = 0.2-3.2 mg l^sup -1^). In addition, 92 epilithon samples from 22 high-altitude or high-latitude lakes comprise an AL:PE epilithon diatom-pH data-set. Weighted averaging partial least squares regression is used to develop pH-inference models. The AL:PE data-set has a root-mean-square-error of prediction (RMSEP) of 0.33 and a maximum bias of 0.36 pH units and r^sup 2^ of 0.82, as assessed by leave-one-out cross-validation. The epilithon data-set has, after data-screening and the deletion of one very obvious outlier, a RMSEP of 0.23 and a maximum bias of 0.18 pH units and r^sup 2^ of 0.88. The 167 sample SWAP diatom-pH data-set from lowland or upland lakes in the UK, Norway, and Sweden has a RMSEP of 0.29 and a maximum bias of 0.23 pH units and r^sup 2^ of 0.86. The pH optima, as estimated by weighted averaging and Gaussian regression, are compared for the three data-sets (AL:PE, SWAP, AL:PE epilithon). There is a good correspondence between the AL:PE and the AL:PE epilithon optima, but a consistent bias between the AL:PE and SWAP optima, with the SWAP optima being lower than the AL:PE estimates. The predictive performances of the AL:PE and SWAP calibration data-sets are compared using independent test samples and six core sequences, all from high-altitude lakes, one in south-east Siberia and five in eastern Scotland. The results show the importance of using the AL:PE data-set for inferring lake-water pH from diatom assemblages in high-altitude or high latitude lakes with low DOC concentrations.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 0921-2728</identifier><identifier>EISSN: 1573-0417</identifier><identifier>DOI: 10.1023/A:1008025928509</identifier><language>eng</language><publisher>Dordrecht: Springer Nature B.V</publisher><subject>Acidification ; Altitude ; Bacillariophyceae ; British Isles, Scotland ; Calibration ; Europe, Alps Mts ; Freshwater ; Lakes ; Latitude ; Mountain lakes ; Norway, Svalbard ; Plankton ; Poland ; Portugal ; Russia, Kola Peninsula ; Russia, Siberia ; Slovakia ; Slovenia ; Spain ; Surface water ; Sweden</subject><ispartof>Journal of paleolimnology, 1999-10, Vol.22 (3), p.291-317</ispartof><rights>Kluwer Academic Publishers 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a311t-2ce992692d0def1329e04b906a9577b96231589884bab989f2fb24fd53674e953</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27933,27934</link.rule.ids></links><search><creatorcontrib>Cameron, N G</creatorcontrib><creatorcontrib>Birks, H J; B</creatorcontrib><creatorcontrib>Jones, V J</creatorcontrib><creatorcontrib>Berges, F</creatorcontrib><creatorcontrib>Catalan, J</creatorcontrib><creatorcontrib>Flower, R J</creatorcontrib><creatorcontrib>Garcia, J</creatorcontrib><creatorcontrib>Kawecka, B</creatorcontrib><creatorcontrib>Koinig, K A</creatorcontrib><creatorcontrib>Marchetto, A</creatorcontrib><creatorcontrib>Sánchez-castillo, P</creatorcontrib><creatorcontrib>Schmidt, R</creatorcontrib><creatorcontrib>Sisko, M</creatorcontrib><creatorcontrib>Solovieva, N</creatorcontrib><creatorcontrib>Stefková, E</creatorcontrib><creatorcontrib>Toro, M</creatorcontrib><title>Surface-sediment and epilithic diatom pH calibration sets for remote European mountain lakes (AL:PE Project) and their comparison with the Surface Waters Acidification Programme (SWAP) calibration set</title><title>Journal of paleolimnology</title><description>A modern diatom-pH calibration data-set consisting of surface-sediment diatom assemblages from 118 lakes and 530 taxa is presented. The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH range = 4.5-8.0; DOC range = 0.2-3.2 mg l^sup -1^). In addition, 92 epilithon samples from 22 high-altitude or high-latitude lakes comprise an AL:PE epilithon diatom-pH data-set. Weighted averaging partial least squares regression is used to develop pH-inference models. The AL:PE data-set has a root-mean-square-error of prediction (RMSEP) of 0.33 and a maximum bias of 0.36 pH units and r^sup 2^ of 0.82, as assessed by leave-one-out cross-validation. The epilithon data-set has, after data-screening and the deletion of one very obvious outlier, a RMSEP of 0.23 and a maximum bias of 0.18 pH units and r^sup 2^ of 0.88. The 167 sample SWAP diatom-pH data-set from lowland or upland lakes in the UK, Norway, and Sweden has a RMSEP of 0.29 and a maximum bias of 0.23 pH units and r^sup 2^ of 0.86. The pH optima, as estimated by weighted averaging and Gaussian regression, are compared for the three data-sets (AL:PE, SWAP, AL:PE epilithon). There is a good correspondence between the AL:PE and the AL:PE epilithon optima, but a consistent bias between the AL:PE and SWAP optima, with the SWAP optima being lower than the AL:PE estimates. The predictive performances of the AL:PE and SWAP calibration data-sets are compared using independent test samples and six core sequences, all from high-altitude lakes, one in south-east Siberia and five in eastern Scotland. The results show the importance of using the AL:PE data-set for inferring lake-water pH from diatom assemblages in high-altitude or high latitude lakes with low DOC concentrations.[PUBLICATION ABSTRACT]</description><subject>Acidification</subject><subject>Altitude</subject><subject>Bacillariophyceae</subject><subject>British Isles, Scotland</subject><subject>Calibration</subject><subject>Europe, Alps Mts</subject><subject>Freshwater</subject><subject>Lakes</subject><subject>Latitude</subject><subject>Mountain lakes</subject><subject>Norway, Svalbard</subject><subject>Plankton</subject><subject>Poland</subject><subject>Portugal</subject><subject>Russia, Kola Peninsula</subject><subject>Russia, Siberia</subject><subject>Slovakia</subject><subject>Slovenia</subject><subject>Spain</subject><subject>Surface water</subject><subject>Sweden</subject><issn>0921-2728</issn><issn>1573-0417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU9v1DAQxS0EEkvhzHXEAbWHgP_Ea09vUbVQpJVYqaAeV44zoV6SONiO-hX5WATaUy_MZaTR0--9p2HsreAfBJfqY3MpOLdcapRWc3zGNkIbVfFamOdsw1GKShppX7JXOZ8452iN3rDfN0vqnacqUxdGmgq4qQOawxDKXfDQBVfiCPM1eDeENrkS4gSZSoY-Jkg0xkKwW1KcyU0wxmUqLkwwuJ-U4bzZXx52cEjxRL5c_GOXOwoJfBxnl0JeYfer098rPEaBW1coZWh86EIf_IPlyviR3DgSnN_cNoeLp3lesxe9GzK9edxn7Pun3ber62r_9fOXq2ZfOSVEqaQnRLlF2fGOeqEkEq9b5FuH2pgWt1IJbdHaunUtWuxl38q677TamppQqzP2_oE7p_hroVyOY8iehsFNFJd8FJZjLdeH_FdolFVG81X47onwFJc0rSWOVgqJ69TqD6SFlfQ</recordid><startdate>19991001</startdate><enddate>19991001</enddate><creator>Cameron, N G</creator><creator>Birks, H J; 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Birks, H J; B ; Jones, V J ; Berges, F ; Catalan, J ; Flower, R J ; Garcia, J ; Kawecka, B ; Koinig, K A ; Marchetto, A ; Sánchez-castillo, P ; Schmidt, R ; Sisko, M ; Solovieva, N ; Stefková, E ; Toro, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a311t-2ce992692d0def1329e04b906a9577b96231589884bab989f2fb24fd53674e953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Acidification</topic><topic>Altitude</topic><topic>Bacillariophyceae</topic><topic>British Isles, Scotland</topic><topic>Calibration</topic><topic>Europe, Alps Mts</topic><topic>Freshwater</topic><topic>Lakes</topic><topic>Latitude</topic><topic>Mountain lakes</topic><topic>Norway, Svalbard</topic><topic>Plankton</topic><topic>Poland</topic><topic>Portugal</topic><topic>Russia, Kola Peninsula</topic><topic>Russia, Siberia</topic><topic>Slovakia</topic><topic>Slovenia</topic><topic>Spain</topic><topic>Surface water</topic><topic>Sweden</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cameron, N G</creatorcontrib><creatorcontrib>Birks, H J; 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B</au><au>Jones, V J</au><au>Berges, F</au><au>Catalan, J</au><au>Flower, R J</au><au>Garcia, J</au><au>Kawecka, B</au><au>Koinig, K A</au><au>Marchetto, A</au><au>Sánchez-castillo, P</au><au>Schmidt, R</au><au>Sisko, M</au><au>Solovieva, N</au><au>Stefková, E</au><au>Toro, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surface-sediment and epilithic diatom pH calibration sets for remote European mountain lakes (AL:PE Project) and their comparison with the Surface Waters Acidification Programme (SWAP) calibration set</atitle><jtitle>Journal of paleolimnology</jtitle><date>1999-10-01</date><risdate>1999</risdate><volume>22</volume><issue>3</issue><spage>291</spage><epage>317</epage><pages>291-317</pages><issn>0921-2728</issn><eissn>1573-0417</eissn><abstract>A modern diatom-pH calibration data-set consisting of surface-sediment diatom assemblages from 118 lakes and 530 taxa is presented. The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH range = 4.5-8.0; DOC range = 0.2-3.2 mg l^sup -1^). In addition, 92 epilithon samples from 22 high-altitude or high-latitude lakes comprise an AL:PE epilithon diatom-pH data-set. Weighted averaging partial least squares regression is used to develop pH-inference models. The AL:PE data-set has a root-mean-square-error of prediction (RMSEP) of 0.33 and a maximum bias of 0.36 pH units and r^sup 2^ of 0.82, as assessed by leave-one-out cross-validation. The epilithon data-set has, after data-screening and the deletion of one very obvious outlier, a RMSEP of 0.23 and a maximum bias of 0.18 pH units and r^sup 2^ of 0.88. The 167 sample SWAP diatom-pH data-set from lowland or upland lakes in the UK, Norway, and Sweden has a RMSEP of 0.29 and a maximum bias of 0.23 pH units and r^sup 2^ of 0.86. The pH optima, as estimated by weighted averaging and Gaussian regression, are compared for the three data-sets (AL:PE, SWAP, AL:PE epilithon). There is a good correspondence between the AL:PE and the AL:PE epilithon optima, but a consistent bias between the AL:PE and SWAP optima, with the SWAP optima being lower than the AL:PE estimates. The predictive performances of the AL:PE and SWAP calibration data-sets are compared using independent test samples and six core sequences, all from high-altitude lakes, one in south-east Siberia and five in eastern Scotland. The results show the importance of using the AL:PE data-set for inferring lake-water pH from diatom assemblages in high-altitude or high latitude lakes with low DOC concentrations.[PUBLICATION ABSTRACT]</abstract><cop>Dordrecht</cop><pub>Springer Nature B.V</pub><doi>10.1023/A:1008025928509</doi><tpages>27</tpages></addata></record> |
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subjects | Acidification Altitude Bacillariophyceae British Isles, Scotland Calibration Europe, Alps Mts Freshwater Lakes Latitude Mountain lakes Norway, Svalbard Plankton Poland Portugal Russia, Kola Peninsula Russia, Siberia Slovakia Slovenia Spain Surface water Sweden |
title | Surface-sediment and epilithic diatom pH calibration sets for remote European mountain lakes (AL:PE Project) and their comparison with the Surface Waters Acidification Programme (SWAP) calibration set |
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