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Lake Dynamics Modulate the Air Temperature Variability Recorded by Sedimentary Aquatic Biomarkers: A Holocene Case Study From Western Greenland
Quantitative temperature reconstructions from lacustrine organic geochemical proxies including branched glycerol dialkyl glycerol tetraethers (brGDGTs) and alkenones provide key constraints on past continental climates. However, estimation of air temperatures from proxies can be impacted by non‐stat...
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Published in: | Journal of geophysical research. Biogeosciences 2023-07, Vol.128 (7), p.n/a |
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description | Quantitative temperature reconstructions from lacustrine organic geochemical proxies including branched glycerol dialkyl glycerol tetraethers (brGDGTs) and alkenones provide key constraints on past continental climates. However, estimation of air temperatures from proxies can be impacted by non‐stationarity in the relationships between seasonal air and water temperatures, a factor not yet examined in strongly seasonal high‐latitude settings. We pair downcore analyses of brGDGTs and alkenones measured on the same samples through the Holocene with forward‐modeled proxy values based on thermodynamic lake model simulations for a western Greenland lake. The measured brGDGT distributions suggest that stable autochthonous (aquatic) production overpowers allochthonous inputs for most samples, justifying the use of the lake model to interpret temperature‐driven changes. Conventional calibration of alkenones (detected only after 5.5 thousand years BP) suggests substantially larger temperature variations than conventional calibration of brGDGTs. Comparison of proxy measurements to forward‐modeled values suggests variations in brGDGT distributions monotonically reflect multi‐decadal summer air temperatures changes, although the length of the ice‐free season dampens the influence of air temperatures on water temperatures. Drivers of alkenone variability remain less clear; potential influences include small changes in the seasonality of proxy production or biases toward specific years, both underlain by non‐linearity in water‐air temperature sensitivity during relevant seasonal windows. We demonstrate that implied temperature variability can differ substantially between proxies because of differences in air‐water temperature sensitivity during windows of proxy synthesis without necessitating threshold behavior in the lake or local climate, and recommend that future studies incorporate lake modeling to constrain this uncertainty.
Plain Language Summary
Reconstructions of past temperature change from the Arctic are necessary to constrain long‐term sensitivity of the region and the Greenland Ice Sheet to climate changes. We collected sediments from a western Greenland lake, which continuously accumulated for the past 9,000 years. In these sediments, we analyzed the chemical compositions of two temperature‐sensitive classes of molecules produced by microorganisms within the lake. Surprisingly, the two proxies suggest different magnitudes of temperature changes when compared |
doi_str_mv | 10.1029/2022JG007106 |
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Plain Language Summary
Reconstructions of past temperature change from the Arctic are necessary to constrain long‐term sensitivity of the region and the Greenland Ice Sheet to climate changes. We collected sediments from a western Greenland lake, which continuously accumulated for the past 9,000 years. In these sediments, we analyzed the chemical compositions of two temperature‐sensitive classes of molecules produced by microorganisms within the lake. Surprisingly, the two proxies suggest different magnitudes of temperature changes when compared using conventional calibration approaches. Although changes in both proxies are often linked to air temperatures, they are likely more directly sensitive to water temperatures, which can differ from air temperatures—particularly in strongly seasonal environments like the Arctic. We use a lake model to simulate changes in lake water temperatures and convert to proxy units, enabling us to compare air and water temperatures to proxy measurements within a common frame of reference. We show that proxy sensitivity to air temperature changes can differ substantially depending on exactly when the proxies are produced. Because air and lake water temperatures during likely periods of production rarely change at the same rate, we suggest that future studies interpreting water temperature‐sensitive proxies should incorporate lake modeling to constrain this uncertainty.
Key Points
Downcore branched glycerol dialkyl glycerol tetraethers and alkenone measurements imply different magnitudes of Holocene air temperature variability on western Greenland
Lake water temperatures during likely windows of biomarker production do not change at the same rate as air temperatures
Lake water temperature‐sensitive proxies are impacted by lake dynamics in seasonal environments</description><identifier>ISSN: 2169-8953</identifier><identifier>EISSN: 2169-8961</identifier><identifier>DOI: 10.1029/2022JG007106</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Air temperature ; alkenone ; Allochthonous deposits ; Arctic ; biogeochemical proxies ; Biomarkers ; brGDGT ; Calibration ; Chemical composition ; Climate change ; data‐model comparison ; Glaciation ; Glycerol ; Holocene ; Ice environments ; Ice sheets ; Lake dynamics ; Lakes ; Microorganisms ; Modelling ; Proxies ; proxy system modeling ; Seasonal variations ; Seasonality ; Seasons ; Sediment ; Sediments ; Sensitivity ; Uncertainty ; Variability ; Water ; Water temperature</subject><ispartof>Journal of geophysical research. Biogeosciences, 2023-07, Vol.128 (7), p.n/a</ispartof><rights>2023. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3301-fb864eea10425aa9db0535147896500b9d0afe86a441688aff923ae63b6f78373</citedby><cites>FETCH-LOGICAL-a3301-fb864eea10425aa9db0535147896500b9d0afe86a441688aff923ae63b6f78373</cites><orcidid>0000-0003-3598-5113 ; 0000-0002-6489-7123 ; 0000-0002-2524-9326 ; 0000-0001-7542-9619 ; 0000-0002-1635-5469 ; 0000-0001-7561-0557</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Cluett, A. A.</creatorcontrib><creatorcontrib>Thomas, E. K.</creatorcontrib><creatorcontrib>McKay, N. P.</creatorcontrib><creatorcontrib>Cowling, O. C.</creatorcontrib><creatorcontrib>Castañeda, I. S.</creatorcontrib><creatorcontrib>Morrill, C.</creatorcontrib><title>Lake Dynamics Modulate the Air Temperature Variability Recorded by Sedimentary Aquatic Biomarkers: A Holocene Case Study From Western Greenland</title><title>Journal of geophysical research. Biogeosciences</title><description>Quantitative temperature reconstructions from lacustrine organic geochemical proxies including branched glycerol dialkyl glycerol tetraethers (brGDGTs) and alkenones provide key constraints on past continental climates. However, estimation of air temperatures from proxies can be impacted by non‐stationarity in the relationships between seasonal air and water temperatures, a factor not yet examined in strongly seasonal high‐latitude settings. We pair downcore analyses of brGDGTs and alkenones measured on the same samples through the Holocene with forward‐modeled proxy values based on thermodynamic lake model simulations for a western Greenland lake. The measured brGDGT distributions suggest that stable autochthonous (aquatic) production overpowers allochthonous inputs for most samples, justifying the use of the lake model to interpret temperature‐driven changes. Conventional calibration of alkenones (detected only after 5.5 thousand years BP) suggests substantially larger temperature variations than conventional calibration of brGDGTs. Comparison of proxy measurements to forward‐modeled values suggests variations in brGDGT distributions monotonically reflect multi‐decadal summer air temperatures changes, although the length of the ice‐free season dampens the influence of air temperatures on water temperatures. Drivers of alkenone variability remain less clear; potential influences include small changes in the seasonality of proxy production or biases toward specific years, both underlain by non‐linearity in water‐air temperature sensitivity during relevant seasonal windows. We demonstrate that implied temperature variability can differ substantially between proxies because of differences in air‐water temperature sensitivity during windows of proxy synthesis without necessitating threshold behavior in the lake or local climate, and recommend that future studies incorporate lake modeling to constrain this uncertainty.
Plain Language Summary
Reconstructions of past temperature change from the Arctic are necessary to constrain long‐term sensitivity of the region and the Greenland Ice Sheet to climate changes. We collected sediments from a western Greenland lake, which continuously accumulated for the past 9,000 years. In these sediments, we analyzed the chemical compositions of two temperature‐sensitive classes of molecules produced by microorganisms within the lake. Surprisingly, the two proxies suggest different magnitudes of temperature changes when compared using conventional calibration approaches. Although changes in both proxies are often linked to air temperatures, they are likely more directly sensitive to water temperatures, which can differ from air temperatures—particularly in strongly seasonal environments like the Arctic. We use a lake model to simulate changes in lake water temperatures and convert to proxy units, enabling us to compare air and water temperatures to proxy measurements within a common frame of reference. We show that proxy sensitivity to air temperature changes can differ substantially depending on exactly when the proxies are produced. Because air and lake water temperatures during likely periods of production rarely change at the same rate, we suggest that future studies interpreting water temperature‐sensitive proxies should incorporate lake modeling to constrain this uncertainty.
Key Points
Downcore branched glycerol dialkyl glycerol tetraethers and alkenone measurements imply different magnitudes of Holocene air temperature variability on western Greenland
Lake water temperatures during likely windows of biomarker production do not change at the same rate as air temperatures
Lake water temperature‐sensitive proxies are impacted by lake dynamics in seasonal environments</description><subject>Air temperature</subject><subject>alkenone</subject><subject>Allochthonous deposits</subject><subject>Arctic</subject><subject>biogeochemical proxies</subject><subject>Biomarkers</subject><subject>brGDGT</subject><subject>Calibration</subject><subject>Chemical composition</subject><subject>Climate change</subject><subject>data‐model comparison</subject><subject>Glaciation</subject><subject>Glycerol</subject><subject>Holocene</subject><subject>Ice environments</subject><subject>Ice sheets</subject><subject>Lake dynamics</subject><subject>Lakes</subject><subject>Microorganisms</subject><subject>Modelling</subject><subject>Proxies</subject><subject>proxy system modeling</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Seasons</subject><subject>Sediment</subject><subject>Sediments</subject><subject>Sensitivity</subject><subject>Uncertainty</subject><subject>Variability</subject><subject>Water</subject><subject>Water temperature</subject><issn>2169-8953</issn><issn>2169-8961</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxEAQRYMoKOrODyhw62g_8ui4G0cnKiPCjI9lqCQVbE3SY3eC5Cv8ZVtGxJW1qaI43Kp7g-CIs1PORHommBC3GWMJZ_FWsCd4nE5UGvPt3zmSu8Ghc6_Ml_IrzveCzwW-EVyOHba6dHBnqqHBnqB_IZhqCw_UrsliP1iCJ7QaC93ofoQllcZWVEExwooq3VLXox1h-j5gr0u40KZF-0bWncMUrk1jSuoIZugIVv1QjTC3poVncj3ZDjJL1DXYVQfBTo2No8Ofvh88zq8eZteTxX12M5suJigl45O6UHFIhJyFIkJMq4JFMuJh4h1HjBVpxbAmFWMY8lgprOtUSKRYFnGdKJnI_eB4o7u25n3wX-SvZrCdP5kL5TVVEiapp042VGmNc5bqfG219zXmnOXfqed_U_e43OAfuqHxXza_zZaZEBHn8gtSC4N3</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Cluett, A. A.</creator><creator>Thomas, E. K.</creator><creator>McKay, N. P.</creator><creator>Cowling, O. C.</creator><creator>Castañeda, I. S.</creator><creator>Morrill, C.</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-3598-5113</orcidid><orcidid>https://orcid.org/0000-0002-6489-7123</orcidid><orcidid>https://orcid.org/0000-0002-2524-9326</orcidid><orcidid>https://orcid.org/0000-0001-7542-9619</orcidid><orcidid>https://orcid.org/0000-0002-1635-5469</orcidid><orcidid>https://orcid.org/0000-0001-7561-0557</orcidid></search><sort><creationdate>202307</creationdate><title>Lake Dynamics Modulate the Air Temperature Variability Recorded by Sedimentary Aquatic Biomarkers: A Holocene Case Study From Western Greenland</title><author>Cluett, A. A. ; Thomas, E. K. ; McKay, N. P. ; Cowling, O. C. ; Castañeda, I. S. ; Morrill, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3301-fb864eea10425aa9db0535147896500b9d0afe86a441688aff923ae63b6f78373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air temperature</topic><topic>alkenone</topic><topic>Allochthonous deposits</topic><topic>Arctic</topic><topic>biogeochemical proxies</topic><topic>Biomarkers</topic><topic>brGDGT</topic><topic>Calibration</topic><topic>Chemical composition</topic><topic>Climate change</topic><topic>data‐model comparison</topic><topic>Glaciation</topic><topic>Glycerol</topic><topic>Holocene</topic><topic>Ice environments</topic><topic>Ice sheets</topic><topic>Lake dynamics</topic><topic>Lakes</topic><topic>Microorganisms</topic><topic>Modelling</topic><topic>Proxies</topic><topic>proxy system modeling</topic><topic>Seasonal variations</topic><topic>Seasonality</topic><topic>Seasons</topic><topic>Sediment</topic><topic>Sediments</topic><topic>Sensitivity</topic><topic>Uncertainty</topic><topic>Variability</topic><topic>Water</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cluett, A. A.</creatorcontrib><creatorcontrib>Thomas, E. K.</creatorcontrib><creatorcontrib>McKay, N. P.</creatorcontrib><creatorcontrib>Cowling, O. C.</creatorcontrib><creatorcontrib>Castañeda, I. S.</creatorcontrib><creatorcontrib>Morrill, C.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of geophysical research. Biogeosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cluett, A. A.</au><au>Thomas, E. K.</au><au>McKay, N. P.</au><au>Cowling, O. C.</au><au>Castañeda, I. S.</au><au>Morrill, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lake Dynamics Modulate the Air Temperature Variability Recorded by Sedimentary Aquatic Biomarkers: A Holocene Case Study From Western Greenland</atitle><jtitle>Journal of geophysical research. Biogeosciences</jtitle><date>2023-07</date><risdate>2023</risdate><volume>128</volume><issue>7</issue><epage>n/a</epage><issn>2169-8953</issn><eissn>2169-8961</eissn><abstract>Quantitative temperature reconstructions from lacustrine organic geochemical proxies including branched glycerol dialkyl glycerol tetraethers (brGDGTs) and alkenones provide key constraints on past continental climates. However, estimation of air temperatures from proxies can be impacted by non‐stationarity in the relationships between seasonal air and water temperatures, a factor not yet examined in strongly seasonal high‐latitude settings. We pair downcore analyses of brGDGTs and alkenones measured on the same samples through the Holocene with forward‐modeled proxy values based on thermodynamic lake model simulations for a western Greenland lake. The measured brGDGT distributions suggest that stable autochthonous (aquatic) production overpowers allochthonous inputs for most samples, justifying the use of the lake model to interpret temperature‐driven changes. Conventional calibration of alkenones (detected only after 5.5 thousand years BP) suggests substantially larger temperature variations than conventional calibration of brGDGTs. Comparison of proxy measurements to forward‐modeled values suggests variations in brGDGT distributions monotonically reflect multi‐decadal summer air temperatures changes, although the length of the ice‐free season dampens the influence of air temperatures on water temperatures. Drivers of alkenone variability remain less clear; potential influences include small changes in the seasonality of proxy production or biases toward specific years, both underlain by non‐linearity in water‐air temperature sensitivity during relevant seasonal windows. We demonstrate that implied temperature variability can differ substantially between proxies because of differences in air‐water temperature sensitivity during windows of proxy synthesis without necessitating threshold behavior in the lake or local climate, and recommend that future studies incorporate lake modeling to constrain this uncertainty.
Plain Language Summary
Reconstructions of past temperature change from the Arctic are necessary to constrain long‐term sensitivity of the region and the Greenland Ice Sheet to climate changes. We collected sediments from a western Greenland lake, which continuously accumulated for the past 9,000 years. In these sediments, we analyzed the chemical compositions of two temperature‐sensitive classes of molecules produced by microorganisms within the lake. Surprisingly, the two proxies suggest different magnitudes of temperature changes when compared using conventional calibration approaches. Although changes in both proxies are often linked to air temperatures, they are likely more directly sensitive to water temperatures, which can differ from air temperatures—particularly in strongly seasonal environments like the Arctic. We use a lake model to simulate changes in lake water temperatures and convert to proxy units, enabling us to compare air and water temperatures to proxy measurements within a common frame of reference. We show that proxy sensitivity to air temperature changes can differ substantially depending on exactly when the proxies are produced. Because air and lake water temperatures during likely periods of production rarely change at the same rate, we suggest that future studies interpreting water temperature‐sensitive proxies should incorporate lake modeling to constrain this uncertainty.
Key Points
Downcore branched glycerol dialkyl glycerol tetraethers and alkenone measurements imply different magnitudes of Holocene air temperature variability on western Greenland
Lake water temperatures during likely windows of biomarker production do not change at the same rate as air temperatures
Lake water temperature‐sensitive proxies are impacted by lake dynamics in seasonal environments</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2022JG007106</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-3598-5113</orcidid><orcidid>https://orcid.org/0000-0002-6489-7123</orcidid><orcidid>https://orcid.org/0000-0002-2524-9326</orcidid><orcidid>https://orcid.org/0000-0001-7542-9619</orcidid><orcidid>https://orcid.org/0000-0002-1635-5469</orcidid><orcidid>https://orcid.org/0000-0001-7561-0557</orcidid></addata></record> |
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subjects | Air temperature alkenone Allochthonous deposits Arctic biogeochemical proxies Biomarkers brGDGT Calibration Chemical composition Climate change data‐model comparison Glaciation Glycerol Holocene Ice environments Ice sheets Lake dynamics Lakes Microorganisms Modelling Proxies proxy system modeling Seasonal variations Seasonality Seasons Sediment Sediments Sensitivity Uncertainty Variability Water Water temperature |
title | Lake Dynamics Modulate the Air Temperature Variability Recorded by Sedimentary Aquatic Biomarkers: A Holocene Case Study From Western Greenland |
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