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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of paleolimnology 1999-10, Vol.22 (3), p.291-317
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 317
container_issue 3
container_start_page 291
container_title Journal of paleolimnology
container_volume 22
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
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_18094202</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>17383750</sourcerecordid><originalsourceid>FETCH-LOGICAL-a311t-2ce992692d0def1329e04b906a9577b96231589884bab989f2fb24fd53674e953</originalsourceid><addsrcrecordid>eNqFkU9v1DAQxS0EEkvhzHXEAbWHgP_Ea09vUbVQpJVYqaAeV44zoV6SONiO-hX5WATaUy_MZaTR0--9p2HsreAfBJfqY3MpOLdcapRWc3zGNkIbVfFamOdsw1GKShppX7JXOZ8452iN3rDfN0vqnacqUxdGmgq4qQOawxDKXfDQBVfiCPM1eDeENrkS4gSZSoY-Jkg0xkKwW1KcyU0wxmUqLkwwuJ-U4bzZXx52cEjxRL5c_GOXOwoJfBxnl0JeYfer098rPEaBW1coZWh86EIf_IPlyviR3DgSnN_cNoeLp3lesxe9GzK9edxn7Pun3ber62r_9fOXq2ZfOSVEqaQnRLlF2fGOeqEkEq9b5FuH2pgWt1IJbdHaunUtWuxl38q677TamppQqzP2_oE7p_hroVyOY8iehsFNFJd8FJZjLdeH_FdolFVG81X47onwFJc0rSWOVgqJ69TqD6SFlfQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>821299994</pqid></control><display><type>article</type><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><source>SpringerNature Journals</source><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</creator><creatorcontrib>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</creatorcontrib><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><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; B</creator><creator>Jones, V J</creator><creator>Berges, F</creator><creator>Catalan, J</creator><creator>Flower, R J</creator><creator>Garcia, J</creator><creator>Kawecka, B</creator><creator>Koinig, K A</creator><creator>Marchetto, A</creator><creator>Sánchez-castillo, P</creator><creator>Schmidt, R</creator><creator>Sisko, M</creator><creator>Solovieva, N</creator><creator>Stefková, E</creator><creator>Toro, M</creator><general>Springer Nature B.V</general><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H94</scope><scope>H95</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>LK8</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>H97</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>19991001</creationdate><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><author>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</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; 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><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><jtitle>Journal of paleolimnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cameron, N G</au><au>Birks, H J; 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>
fulltext fulltext
identifier ISSN: 0921-2728
ispartof Journal of paleolimnology, 1999-10, Vol.22 (3), p.291-317
issn 0921-2728
1573-0417
language eng
recordid cdi_proquest_miscellaneous_18094202
source SpringerNature Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-02T22%3A19%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Surface-sediment%20and%20epilithic%20diatom%20pH%20calibration%20sets%20for%20remote%20European%20mountain%20lakes%20(AL:PE%20Project)%20and%20their%20comparison%20with%20the%20Surface%20Waters%20Acidification%20Programme%20(SWAP)%20calibration%20set&rft.jtitle=Journal%20of%20paleolimnology&rft.au=Cameron,%20N%20G&rft.date=1999-10-01&rft.volume=22&rft.issue=3&rft.spage=291&rft.epage=317&rft.pages=291-317&rft.issn=0921-2728&rft.eissn=1573-0417&rft_id=info:doi/10.1023/A:1008025928509&rft_dat=%3Cproquest%3E17383750%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=821299994&rft_id=info:pmid/&rfr_iscdi=true