A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas

Sea ice affects Earth's climate system on both regional and global scales. Its incorporation into climate can be used to achieve more accurate predictions of future climate. However, instrumental records of sea-ice concentration do not extend earlier than 1978. In an effort to extend this record, we constructed a proxy using the generalized additive model based on relative abundances of five easy-to-identify diatom species found in sediment samples across the Bering and Chukchi seas. Here we present the first quantitative diatom-based sea-ice proxy developed for Beringia. The developed proxy has been applied to two sediment cores in the Bering Sea ranging from 0 to 25.7 ka (HLY0204 51JPC) and 369 to 430 ka (IODP Exp 323 Site U1345) and one in the Chukchi Sea ranging from 2.7 to 10 ka (HLY0204 24JPC). The obtained reconstructions of sea-ice concentrations are similar, but not identical to previously published qualitative and nearby records based on other proxies. Because our results are quantitative, they can be incorporated into regional climate models. The proxy is publicly available as an R Shiny application (app) and can be applied to any diatom count from marine sediments in the region. • Bering and Chukchi sea diatoms have varying associations with sea ice today. • Diatoms were used to build a quantitative sea ice proxy in the Bering/Chukchi seas. • The proxy uses 5 species of diatoms in a generalized additive model. • The model is freely available online for forthcoming sea ice reconstructions.

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Publication Details

Journal
Palaeogeography Palaeoclimatology Palaeoecology
Published
2026-03-09
DOI
https://doi.org/10.1016/j.palaeo.2026.113686
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
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article

A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas

Beth Caissie, Anna Nesterovich
Palaeogeography Palaeoclimatology Palaeoecology
Arctic and Antarctic ice dynamics
article

A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas

Beth Caissie, Anna Nesterovich
article en

Abstract

Sea ice affects Earth's climate system on both regional and global scales. Its incorporation into climate can be used to achieve more accurate predictions of future climate. However, instrumental records of sea-ice concentration do not extend earlier than 1978. In an effort to extend this record, we constructed a proxy using the generalized additive model based on relative abundances of five easy-to-identify diatom species found in sediment samples across the Bering and Chukchi seas. Here we present the first quantitative diatom-based sea-ice proxy developed for Beringia. The developed proxy has been applied to two sediment cores in the Bering Sea ranging from 0 to 25.7 ka (HLY0204 51JPC) and 369 to 430 ka (IODP Exp 323 Site U1345) and one in the Chukchi Sea ranging from 2.7 to 10 ka (HLY0204 24JPC). The obtained reconstructions of sea-ice concentrations are similar, but not identical to previously published qualitative and nearby records based on other proxies. Because our results are quantitative, they can be incorporated into regional climate models. The proxy is publicly available as an R Shiny application (app) and can be applied to any diatom count from marine sediments in the region. • Bering and Chukchi sea diatoms have varying associations with sea ice today. • Diatoms were used to build a quantitative sea ice proxy in the Bering/Chukchi seas. • The proxy uses 5 species of diatoms in a generalized additive model. • The model is freely available online for forthcoming sea ice reconstructions.

Palaeogeography Palaeoclimatology PalaeoecologyVol. 690
United States Geological Survey (US), University of California, Santa Cruz (US), Great Lakes Environmental Center (US)
Life below water
Openalex Percentile: Top 48%
Arctic and Antarctic ice dynamics
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A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas — Beth Caissie, Anna Nesterovich · Palaeogeography Palaeoclimatology Palaeoecology (2026) | TGRS Research Map | TGRS