New indices and calibrations derived from the distribution of crenarchaeal isoprenoid tetraether lipids: Implications for past sea surface temperature reconstructions
Several studies have shown that there is a strong relationship between the distribution of crenarchaeotal isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs) and sea surface temperature (SST). Based on this, a ratio of certain GDGTs, called TEX 86 (TetraEther indeX of tetraethers consistin...
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description | Several studies have shown that there is a strong relationship between the distribution of crenarchaeotal isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs) and sea surface temperature (SST). Based on this, a ratio of certain GDGTs, called TEX
86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms), was developed as a SST proxy. In this study, we determined the distribution of crenarchaeotal isoprenoid GDGTs in 116 core-top sediments mostly from (sub)polar oceans and combined these data with previously published core-top data. Using this extended global core-top dataset (
n
=
426), we re-assessed the relationship of crenarchaeal isoprenoid GDGTs with SST. We excluded data from the Red Sea from the global core-top dataset to define new indices and calibration models, as the Red Sea with its elevated salinity appeared to behave differently compared to other parts of the oceans. We tested our new indices and calibration models on three different paleo datasets, representing different temperature ranges. Our results indicate that the crenarchaeol regio-isomer plays a more important role for temperature adaptation in (sub)tropical oceans than in (sub)polar oceans, suggesting that there may be differences in membrane adaptation of the resident crenarchaeotal communities at different temperatures. We, therefore, suggest to apply two different calibration models. For the whole calibration temperature range (−3 to 30
°C), a modified version of TEX
86 with a logarithmic function which does not include the crenarchaeol regio-isomer, called
TEX
86
L
, is shown to correlate best with SST:
SST
=
67.5
×
TEX
86
L
+
46.9
(
r
2
=
0.86, n=396, p |
doi_str_mv | 10.1016/j.gca.2010.05.027 |
format | Article |
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86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms), was developed as a SST proxy. In this study, we determined the distribution of crenarchaeotal isoprenoid GDGTs in 116 core-top sediments mostly from (sub)polar oceans and combined these data with previously published core-top data. Using this extended global core-top dataset (
n
=
426), we re-assessed the relationship of crenarchaeal isoprenoid GDGTs with SST. We excluded data from the Red Sea from the global core-top dataset to define new indices and calibration models, as the Red Sea with its elevated salinity appeared to behave differently compared to other parts of the oceans. We tested our new indices and calibration models on three different paleo datasets, representing different temperature ranges. Our results indicate that the crenarchaeol regio-isomer plays a more important role for temperature adaptation in (sub)tropical oceans than in (sub)polar oceans, suggesting that there may be differences in membrane adaptation of the resident crenarchaeotal communities at different temperatures. We, therefore, suggest to apply two different calibration models. For the whole calibration temperature range (−3 to 30
°C), a modified version of TEX
86 with a logarithmic function which does not include the crenarchaeol regio-isomer, called
TEX
86
L
, is shown to correlate best with SST:
SST
=
67.5
×
TEX
86
L
+
46.9
(
r
2
=
0.86, n=396, p <0.0001). Application of
TEX
86
L
on sediments from the subpolar Southern Ocean results in realistic absolute SST estimates and a similar SST trend compared to a diatom SST record from the same core.
TEX
86
H
, which is defined as the logarithmic function of TEX
86, yields the best correlation with SST, when the data from the (sub)polar oceans are removed:
SST
=
68.4
×
TEX
86
L
+
38.6
(
r
2
=
00.87,
n
=
255,
p
<
0.0001). Furthermore,
TEX
86
L
gives the best correlation for mescosm data with temperatures ranging between 10 and 46
°C. For Quaternary sediments from the tropical Arabian Sea, both
TEX
86
L
and
TEX
86
H
yield similar trends and SST estimates. However, the extrapolation of
TEX
86
H
calibration on a sediment record from a greenhouse world ocean predicts more reliable absolute SST estimates and relative SST changes in agreement with estimates based on the δ
18O of planktonic foraminifera. Based on the comparison of
TEX
86
L
and
TEX
86
H
derived SSTs using the core top data, we recommend applying
TEX
86
H
above 15
°C and
TEX
86
L
below 15
°C. In cases where paleorecords encompass temperatures both below and above 15
°C, we suggest to use
TEX
86
L
.</description><identifier>ISSN: 0016-7037</identifier><identifier>EISSN: 1872-9533</identifier><identifier>DOI: 10.1016/j.gca.2010.05.027</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Calibration ; Correlation ; Estimates ; Mathematical analysis ; Mathematical models ; Oceans ; Red Sea ; Sediments</subject><ispartof>Geochimica et cosmochimica acta, 2010-08, Vol.74 (16), p.4639-4654</ispartof><rights>2010 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a418t-df53f55b0132b576be54a3c0415b1ab41e45b73340f0c252e90769273f81ca6e3</citedby><cites>FETCH-LOGICAL-a418t-df53f55b0132b576be54a3c0415b1ab41e45b73340f0c252e90769273f81ca6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gca.2010.05.027$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Kim, Jung-Hyun</creatorcontrib><creatorcontrib>van der Meer, Jaap</creatorcontrib><creatorcontrib>Schouten, Stefan</creatorcontrib><creatorcontrib>Helmke, Peer</creatorcontrib><creatorcontrib>Willmott, Veronica</creatorcontrib><creatorcontrib>Sangiorgi, Francesca</creatorcontrib><creatorcontrib>Koç, Nalân</creatorcontrib><creatorcontrib>Hopmans, Ellen C.</creatorcontrib><creatorcontrib>Damsté, Jaap S. Sinninghe</creatorcontrib><title>New indices and calibrations derived from the distribution of crenarchaeal isoprenoid tetraether lipids: Implications for past sea surface temperature reconstructions</title><title>Geochimica et cosmochimica acta</title><description>Several studies have shown that there is a strong relationship between the distribution of crenarchaeotal isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs) and sea surface temperature (SST). Based on this, a ratio of certain GDGTs, called TEX
86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms), was developed as a SST proxy. In this study, we determined the distribution of crenarchaeotal isoprenoid GDGTs in 116 core-top sediments mostly from (sub)polar oceans and combined these data with previously published core-top data. Using this extended global core-top dataset (
n
=
426), we re-assessed the relationship of crenarchaeal isoprenoid GDGTs with SST. We excluded data from the Red Sea from the global core-top dataset to define new indices and calibration models, as the Red Sea with its elevated salinity appeared to behave differently compared to other parts of the oceans. We tested our new indices and calibration models on three different paleo datasets, representing different temperature ranges. Our results indicate that the crenarchaeol regio-isomer plays a more important role for temperature adaptation in (sub)tropical oceans than in (sub)polar oceans, suggesting that there may be differences in membrane adaptation of the resident crenarchaeotal communities at different temperatures. We, therefore, suggest to apply two different calibration models. For the whole calibration temperature range (−3 to 30
°C), a modified version of TEX
86 with a logarithmic function which does not include the crenarchaeol regio-isomer, called
TEX
86
L
, is shown to correlate best with SST:
SST
=
67.5
×
TEX
86
L
+
46.9
(
r
2
=
0.86, n=396, p <0.0001). Application of
TEX
86
L
on sediments from the subpolar Southern Ocean results in realistic absolute SST estimates and a similar SST trend compared to a diatom SST record from the same core.
TEX
86
H
, which is defined as the logarithmic function of TEX
86, yields the best correlation with SST, when the data from the (sub)polar oceans are removed:
SST
=
68.4
×
TEX
86
L
+
38.6
(
r
2
=
00.87,
n
=
255,
p
<
0.0001). Furthermore,
TEX
86
L
gives the best correlation for mescosm data with temperatures ranging between 10 and 46
°C. For Quaternary sediments from the tropical Arabian Sea, both
TEX
86
L
and
TEX
86
H
yield similar trends and SST estimates. However, the extrapolation of
TEX
86
H
calibration on a sediment record from a greenhouse world ocean predicts more reliable absolute SST estimates and relative SST changes in agreement with estimates based on the δ
18O of planktonic foraminifera. Based on the comparison of
TEX
86
L
and
TEX
86
H
derived SSTs using the core top data, we recommend applying
TEX
86
H
above 15
°C and
TEX
86
L
below 15
°C. In cases where paleorecords encompass temperatures both below and above 15
°C, we suggest to use
TEX
86
L
.</description><subject>Calibration</subject><subject>Correlation</subject><subject>Estimates</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Oceans</subject><subject>Red Sea</subject><subject>Sediments</subject><issn>0016-7037</issn><issn>1872-9533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kcGO1DAQRCMEEsPCB3DzjVOGdhzHM3BCKxZWWsEFzpZjt9keJXFoO4v4Ib4TD7NnTq1S1-tWqZrmtYS9BDm8Pe1_eLfvoGrQe-jMk2YnD6Zrj1qpp80Oqqk1oMzz5kXOJwAwWsOu-fMFfwlaAnnMwi1BeDfRyK5QWrIIyPSAQUROsyj3KALlwjRu57VIUXjGxbG_d-gmQTmtVScKomBhh5VgMdFKIb8Tt_M6kX88HBOL1eUiMjqRN47OY4XmFevrjVEw-uorvPl_wMvmWXRTxleP86r5fvPx2_Xn9u7rp9vrD3et6-WhtCFqFbUeQapu1GYYUfdOeeilHqUbe4m9Ho1SPUTwne7wCGY4dkbFg_RuQHXVvLncXTn93DAXO1P2OE1uwbRla7QaDr0aZHXKi9Nzypkx2pVpdvzbSrDnSuzJ1krsuRIL2tZKKvP-wmCN8EDINnvCxWOgmrfYkOg_9F9Y0Zi_</recordid><startdate>20100815</startdate><enddate>20100815</enddate><creator>Kim, Jung-Hyun</creator><creator>van der Meer, Jaap</creator><creator>Schouten, Stefan</creator><creator>Helmke, Peer</creator><creator>Willmott, Veronica</creator><creator>Sangiorgi, Francesca</creator><creator>Koç, Nalân</creator><creator>Hopmans, Ellen C.</creator><creator>Damsté, Jaap S. Sinninghe</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20100815</creationdate><title>New indices and calibrations derived from the distribution of crenarchaeal isoprenoid tetraether lipids: Implications for past sea surface temperature reconstructions</title><author>Kim, Jung-Hyun ; van der Meer, Jaap ; Schouten, Stefan ; Helmke, Peer ; Willmott, Veronica ; Sangiorgi, Francesca ; Koç, Nalân ; Hopmans, Ellen C. ; Damsté, Jaap S. Sinninghe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a418t-df53f55b0132b576be54a3c0415b1ab41e45b73340f0c252e90769273f81ca6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Calibration</topic><topic>Correlation</topic><topic>Estimates</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Oceans</topic><topic>Red Sea</topic><topic>Sediments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jung-Hyun</creatorcontrib><creatorcontrib>van der Meer, Jaap</creatorcontrib><creatorcontrib>Schouten, Stefan</creatorcontrib><creatorcontrib>Helmke, Peer</creatorcontrib><creatorcontrib>Willmott, Veronica</creatorcontrib><creatorcontrib>Sangiorgi, Francesca</creatorcontrib><creatorcontrib>Koç, Nalân</creatorcontrib><creatorcontrib>Hopmans, Ellen C.</creatorcontrib><creatorcontrib>Damsté, Jaap S. Sinninghe</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geochimica et cosmochimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jung-Hyun</au><au>van der Meer, Jaap</au><au>Schouten, Stefan</au><au>Helmke, Peer</au><au>Willmott, Veronica</au><au>Sangiorgi, Francesca</au><au>Koç, Nalân</au><au>Hopmans, Ellen C.</au><au>Damsté, Jaap S. Sinninghe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New indices and calibrations derived from the distribution of crenarchaeal isoprenoid tetraether lipids: Implications for past sea surface temperature reconstructions</atitle><jtitle>Geochimica et cosmochimica acta</jtitle><date>2010-08-15</date><risdate>2010</risdate><volume>74</volume><issue>16</issue><spage>4639</spage><epage>4654</epage><pages>4639-4654</pages><issn>0016-7037</issn><eissn>1872-9533</eissn><abstract>Several studies have shown that there is a strong relationship between the distribution of crenarchaeotal isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs) and sea surface temperature (SST). Based on this, a ratio of certain GDGTs, called TEX
86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms), was developed as a SST proxy. In this study, we determined the distribution of crenarchaeotal isoprenoid GDGTs in 116 core-top sediments mostly from (sub)polar oceans and combined these data with previously published core-top data. Using this extended global core-top dataset (
n
=
426), we re-assessed the relationship of crenarchaeal isoprenoid GDGTs with SST. We excluded data from the Red Sea from the global core-top dataset to define new indices and calibration models, as the Red Sea with its elevated salinity appeared to behave differently compared to other parts of the oceans. We tested our new indices and calibration models on three different paleo datasets, representing different temperature ranges. Our results indicate that the crenarchaeol regio-isomer plays a more important role for temperature adaptation in (sub)tropical oceans than in (sub)polar oceans, suggesting that there may be differences in membrane adaptation of the resident crenarchaeotal communities at different temperatures. We, therefore, suggest to apply two different calibration models. For the whole calibration temperature range (−3 to 30
°C), a modified version of TEX
86 with a logarithmic function which does not include the crenarchaeol regio-isomer, called
TEX
86
L
, is shown to correlate best with SST:
SST
=
67.5
×
TEX
86
L
+
46.9
(
r
2
=
0.86, n=396, p <0.0001). Application of
TEX
86
L
on sediments from the subpolar Southern Ocean results in realistic absolute SST estimates and a similar SST trend compared to a diatom SST record from the same core.
TEX
86
H
, which is defined as the logarithmic function of TEX
86, yields the best correlation with SST, when the data from the (sub)polar oceans are removed:
SST
=
68.4
×
TEX
86
L
+
38.6
(
r
2
=
00.87,
n
=
255,
p
<
0.0001). Furthermore,
TEX
86
L
gives the best correlation for mescosm data with temperatures ranging between 10 and 46
°C. For Quaternary sediments from the tropical Arabian Sea, both
TEX
86
L
and
TEX
86
H
yield similar trends and SST estimates. However, the extrapolation of
TEX
86
H
calibration on a sediment record from a greenhouse world ocean predicts more reliable absolute SST estimates and relative SST changes in agreement with estimates based on the δ
18O of planktonic foraminifera. Based on the comparison of
TEX
86
L
and
TEX
86
H
derived SSTs using the core top data, we recommend applying
TEX
86
H
above 15
°C and
TEX
86
L
below 15
°C. In cases where paleorecords encompass temperatures both below and above 15
°C, we suggest to use
TEX
86
L
.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.gca.2010.05.027</doi><tpages>16</tpages></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Calibration Correlation Estimates Mathematical analysis Mathematical models Oceans Red Sea Sediments |
title | New indices and calibrations derived from the distribution of crenarchaeal isoprenoid tetraether lipids: Implications for past sea surface temperature reconstructions |
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