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Record W6924946042 · doi:10.1594/pangaea.965325

Concentrations of trace elements measured in lichens and soils at Lhù'ààn Mân' (Kluane Lake, Yukon Territory, Canada) in August 2021

2024· other· en· W6924946042 on OpenAlexfundaboutno aff

Bibliographic record

VenuePublishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research) · 2024
Typeother
Languageen
FieldMedicine
TopicArtificial Intelligence in Healthcare and Education
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsSoil waterVegetation (pathology)LichenCadmiumSoil test

Abstract

fetched live from OpenAlex

We observed increased trace element concentrations in lichens and soils at sites closer to the dust source. Vegetation was more impacted by dust deposition, as well as the 0-2 cm soil layer compared to the 2-10 soil layer. The parameters measured were nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg), lead (Pb) (mg/kg), total carbon (C) (%), total nitrogen (N) (%), total phosphorus (P) (mg/kg), CN ratio and pH in lichens and soils, manganese (Mn) (mg/kg), magnesium (Mg) (mg/kg), potassium (K) (mg/kg), aluminum (Al) (mg/kg), calcium (Ca) (mg/kg), iron (Fe) (mg/kg), sodium (Na) (mg/kg) in soils, tree, shrub, herb, moss and lichen cover (%). Terricolous lichen Peltigera canina was sampled with a stainless-steel knife and scissors in three replicas at 53 sites within 10 km of the delta, and 4 control sites at 11 and 30 km. Sampling sites were located near the roads for accessibility reasons, but the sampling was done at least 100 m from the road to lessen the influence of the road itself. Two layers were sampled, one at 0-2 cm and the other one at 2-10 cm in three replicas at each site with a stainless trowel. Lichen samples were digested in 2 mL of HNO3, and soil samples in 4 mL of HNO3 and 1 mL of HCl. Trace elements (Ni, Cu, As, Cd, Pb) were determined in lichens and soils, and minor elements (Al, Ca, Fe, K, Mg, Mn, and Na) in soils by Inductively coupled plasma mass spectrometry (ICP-MS; PerkinElmer NexION 300x, PerkinElmer Syngistix). Total carbon and nitrogen concentrations were analyzed by CHNO-S elemental analysis, Fisons - EA-1108 CHNS-O Element Analyzer. Total P content was analyzed using Shimadzu UV spectrophotometry. The pH was analyzed with a pH meter Fisher Accumet pH Meter AB 150. The percent cover of vegetation layer (tree, shrub, herb, moss, and lichen) was characterized within a 20-meter radius around the central point of each sampling site. We followed the inventory method recommended by the Field Manual for Describing Terrestrial Ecosystems (Erwin, 2010), which is used by the territory (Environment Yukon, 2016, 2017). The data was collected in the field in August 2021 and the analyses were performed between September 2021 and February 2022. The temporal coverage is yearly. The data collection was done at Lhù'ààn Mân' (Kluane Lake), Yukon Territory, Canada. The geographical coverage is regional. The dataset covers 33 km with 57 sites. The data was collected to understand the impacts of dust deposition on high latitudes ecosystems. Specifically, the purpose of this study was to determine the impacts of dust deposition on trace element concentrations in lichens and soils, to further elucidate the implications for vegetation and soil properties within subarctic ecosystems. The dataset can be used to compare to other trace element concentrations from other sources like anthropogenic activities, but the trace element concentrations measured at Lhù'ààn Mân' are low compared to trace element concentrations usually reported for anthropogenic sources.

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: Other · Consensus signal: none
Teacher disagreement score0.341
Threshold uncertainty score0.685

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.136
GPT teacher head0.356
Teacher spread0.221 · 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
GenreOther

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 routes2
Has abstractyes

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