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Enregistrement W7061792148

Role of Seasonal Melt Streams in Heavy Metal and Nutrient Transport from an Antarctic Penguin Colony

2023· dissertation· en· W7061792148 sur OpenAlexaboutno aff

Notice bibliographique

RevueResearch Commons (University of Waikato) · 2023
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesAssociation of Medical Research Charities
Mots-clésNutrientCadmiumSTREAMSPollutantSoil waterParticulatesMercury (programming language)Water pollution
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Despite the perception that Antarctica is pristine, concentrations of heavy metals and persistent organic pollutants have been recorded at increasing levels. Heavy metals may be present within the Antarctic terrestrial environment through natural geologic processes, long-range atmospheric transport, anthropogenic point sources, and biological transport. While the biological transport of contaminants remains frequently overlooked, in the Arctic, it has been shown to rival atmospheric fluxes of contaminants. Adélie penguins are known vectors for transporting heavy metals and nutrients from within the marine environment and depositing them on the land through guano, feathers, eggshells, and whole carcasses. The incorporation of this material in deep ornithogenic soils has resulted in Adélie penguin colonies being identified as sites of heavy metal and nutrient accumulation. Despite seasonal glacial melt streams that erode these colony soils, their role in heavy metal and nutrient transport is largely under-researched. Therefore, this study evaluated the redistribution of heavy metals and nutrients via melt streams. Stream discharge and load, in addition to soil heavy metal and nutrient content, were also assessed. Five sites along two streams, one flowing through an Adélie penguin colony (P1 to P5) and a control stream with no penguin influence (C1 to C5), were compared throughout this research. Melt water within the Adélie penguin colony had elevated arsenic, cadmium, and lead (p<0.05), with total heavy metal concentrations exceeding New Zealand freshwater guidelines for ecological health up to 37, eight, and two times, respectively. Cadmium and lead were found mostly in particulate form (dissolved cadmium <22 % and dissolved lead <11 %), however, there was a relatively higher portion of arsenic (up to 72 %) that was dissolved (<45 m). This indicates increased bioavailability and concern for toxicity of arsenic. Nutrient anions (ammonium, nitrate, and phosphate) were also elevated in penguin-influenced water compared to the control stream (p<0.05), surpassing water quality guidelines up to 1038, 1017, and 551 times. When accounting for differences in discharge, stream loads of heavy metals and nutrients were significantly higher within the Adélie penguin colony (p<0.05), with nitrate and phosphate exhibiting the most prominent differences (p<0.01). In both streams, discharge exhibited large fluctuations on both diurnal and daily time scales (P3 16.7 L s-1 to 53.3 L s-1; C3 10.8 L s-1 to 14.7 L s-1) and was correlated strongly with air temperature (P3 R=0.88, C3 R=0.81). The pH of all stream sites was circumneutral to basic (6.86 to 8.07). This research suggests that seasonal melt streams play a critical role in redistributing potentially toxic levels of heavy metals and nutrients from penguin colonies into the Southern Ocean. Ornithogenic soil samples from the penguin colony had up to 27, 71, and six times higher arsenic, cadmium, and lead compared to two sampled control soils (p<0.05). Ammonium, total nitrogen, and total carbon were also significantly more enriched with up to 5727, 2454, and 484 times higher concentrations than the control soils (p<0.05). These enrichments were particularly significant with the upper 44 cm. Concentrations of arsenic in the topsoil (0 - 2 cm) and cadmium at soil depths 0 – 44 cm were present in concentrations that exceeded the Canadian ecological quality guidelines for soil. The pH of all soils was neutral to basic (7.78 to 9.86) reflecting the basic basalt parent material. These findings support previous research that ornithogenic soils are sites of heavy metal and nutrient accumulation. Given the fluctuating nature of melt streams, both daily and seasonally, results are likely to be variable over longer time scales and therefore, more research is suggested to quantify this. Moreover, climate change disproportionately affects polar regions with expected temperature rises. Thus, understanding how melt streams intensify in flow, duration, and transport capacity is an essential area of investigation, to which this research provides important baseline data.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,293
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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