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Record W7027030885

Benthic microbial mat adaptations to nutrient scarcity and nutrient cycling dynamics in oligotrophic, perennially ice-covered Lake Vanda and Lake Fryxell in the McMurdo Dry Valleys, Antarctica

2024· other· en· W7027030885 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2024
Typeother
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
FundersUniversity of California, DavisNational Science Foundation
KeywordsBiogeochemical cycleMeltwaterBenthic zoneEcosystemNutrientNutrient cycleBiogeochemistryLimnetic zoneMicrobial matProductivity
DOInot available

Abstract

fetched live from OpenAlex

The primary productivity of all ecosystems is linked to biogeochemical cycles and is often limited by nutrient availability. These links and interactions result in feedback loops, where changes in biogeochemical cycling dynamics and ecosystem dynamics can profoundly influence each other. In lacustrine environments, the availability of either nitrogen or phosphorus can be limiting, as well as other environmental factors such as light availability. The McMurdo Dry Valleys are the largest ice-free region in Antarctica. They receive very little precipitation, experience freezing temperatures, and frequent freeze-thaw cycles. With very little liquid water, habitat connectivity is limited, and thus, terrestrial biomass. While there are seasonal glacial meltwater streams and rivers, liquid water only persists year-round in the perennially ice-covered lakes. Fed by glacial meltwater and many occupying closed basins, these lakes exhibit interesting physical and chemical properties. The permanent ice covers offer protection from the extreme terrestrial environmental conditions, allowing the lakes to remain mostly isolated from the atmosphere, resulting in meromictic and salinity stratified water columns. Most of the lakes are home to thick, photosynthetic, benthic microbial mats. In some lakes, the primary productivity of the benthic communities is greater than the planktonic communities.Perennially ice-covered lakes Vanda and Fryxell are found in Wright and Taylor Valley, respectively. The geology and exposure age of the valleys differ, and due to the slow rates of weathering, nutrient (nitrogen and phosphorus) availability varies. The longest river in the MDVs is the Onyx River, which feeds Lake Vanda with multiple sources and sinks of nitrogen and phosphorus along it. Lake Fryxell is fed directly by the Canada and Commonwealth glaciers and several smaller ephemeral meltwater streams. Lake Vanda’s water column has a severe orthophosphate deficiency, whereas Lake Fryxell’s water column is limited in both nitrogen and phosphorus. These limitations have been characterized for the planktonic communities; however, very little research has been conducted on constraints of primary productivity by nutrients in the benthic mat communities. The benthic microbial mats accrue biomass on annual scales as laminations that can vary in community composition. Despite the nutrient-depleted water columns, microbial mats grow along both varying nutrient and light regimes in both lakes. Metagenomic surveys of the benthic communities show a metabolic adaptation to efficiently scavenge nitrogen and phosphorus from their environment and tightly recycle nutrients within the mat through a suite of organic degradation and synthesis gene pathways, the synthesis and hydrolysis of nitrogen and phosphorus storage compounds as availability varies either seasonally or within their environment. The microbial communities are likely not limited by nutrients due to these advantageous adaptations; instead, they act as a nutrient sink in their environment and are limited by other factors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.150
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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