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Sedimentary Mo isotope variability reflects climate-driven water column oxygenation changes in ferruginous Lake Towuti, Indonesia over the last ∼30 ka BP

2025· article· en· W4414556286 on OpenAlexaff
Adrianus Damanik, Martin Wille, Qasid Ahmad, Sean A. Crowe, Kohen W. Bauer, Martín Grosjean, Sri Yudawati Cahyarini, Satria Bijaksana, James M. Russell, Hendrik Vogel

Bibliographic record

VenueQuaternary Science Reviews · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsOcean Networks Canada SocietyUniversity of VictoriaUniversity of British Columbia
FundersKementerian Riset, Teknologi dan Pendidikan TinggiDeutsche ForschungsgemeinschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsWater columnAnoxic watersSedimentary rockPelagic zoneDissolutionSurface waterAuthigenicWeatheringBottom waterSediment

Abstract

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Previous studies have shown the utility of Molybdenum (Mo) concentrations and isotopic compositions as sensitive recorders for changes in redox conditions in marine environments. Compared to marine settings, the much lower dissolved Mo concentrations in freshwater settings could result in enhanced sensitivity of Mo isotopic composition to the temporal variability in redox conditions. Additionally, unlike the dissolved Mo isotopic compositions in open marine environments, freshwater settings are highly influenced by site-specific factors such as catchment characteristics and in-lake processes. Here, we present sedimentary Mo concentration ([Mo]) and isotope (δ 98 Mo) data from presently stratified Lake Towuti (Indonesia) to provide insight into Mo behaviour in ferruginous (Fe-rich) and non-sulfidic freshwater settings. We find large variations in [Mo] (0.12–1.11 μg⋅g −1 ) and δ 98 Mo (−0.14 ‰ to −1.13 ‰) in lake surface sediments, which are distinct from previously reported variations found in weathering profiles of the ultramafic catchment. The [Mo] variation can partly be attributed to hydrodynamic sorting, with Mo enrichment at pelagic deep water sites distant from the major lake inflows. Sedimentary δ 98 Mo shows a distinct pattern, with generally higher values in sediments deposited in deep anoxic water compared to lower δ 98 Mo values in sediments deposited in shallow water sites above the oxycline. We attribute this δ 98 Mo pattern in Lake Towuti predominantly to redox-controlled processes. These involve the reductive dissolution of suspended laterite-sourced Fe oxides, with Mo liberation under anoxic conditions shortly below the sediment-water interface and/or water column oxycline. Above the oxycline, the formation of amorphous Fe oxides promotes the preferential adsorption of isotopically light Mo. This partial scavenging of isotopically light Mo leads to the formation of isotopically heavier dissolved Mo reservoirs. The scavenging of isotopically heavy dissolved Mo by organic matter (OM) coupled with higher OM burial rates in anoxic sediments promotes higher sedimentary δ 98 Mo ratios in sediment deposited below the oxycline, where OM is better preserved and amorphous Fe oxides are preferentially dissolved. When applying this framework of modern lake processes to a sediment piston core extending back ∼30 ka, we find δ 98 Mo variations that are similar to those observed in modern surface sediments, both above and below the oxycline. Low δ 98 Mo values in sediments deposited between ∼30 and ∼14 cal ka BP suggest deep oxygenation of the water column to the sediment-water interface. In contrast, Mo isotope signatures between ∼14 cal ka BP and the present are similar to those of present-day deep water anoxic sites, suggesting water column stratification throughout the Holocene. The water column oxygenation pattern inferred from δ 98 Mo aligns well with other independent sedimentary indicators that indicate a cooler, drier last glacial maximum with deep water column mixing, and a warmer, wetter Holocene with a stratified water column. Thus, our results imply that δ 98 Mo can be applied as an effective tracer of climate-driven changes in water column oxygenation in ferruginous and non-sulfidic settings. • Spatial [Mo] pattern in Lake Towuti is primarily controlled by hydrodynamic sorting. • Aquatic Mo isotope fractionation controlled by Fe redox cycling and OM preservation. • Sedimentary δ 98 Mo records long-term water column oxygenation.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.279
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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