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Enregistrement W4410826490 · doi:10.3897/aca.8.e150995

Sources and sinks of methane and carbon-dioxide in oligotrophic lakes: a case study from Lake Maggiore, Italy

2025· article· en· W4410826490 sur OpenAlexaff
Dávid Brankovits, Anne E. Tamalavage, Andrea Lami, Manoj Kamalanathan, Jean‐François Lapierre, Caterina Carabelli, Michela Rogora

Notice bibliographique

RevueARPHA Conference Abstracts · 2025
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueMarine and coastal ecosystems
Établissements canadiensUniversité de MontréalUniversité du Québec à Montréal
Organismes subventionnairesHorizon 2020 Framework Programme
Mots-clésCarbon dioxideMethaneEnvironmental scienceCarbon fibersHydrology (agriculture)Environmental chemistryEcologyChemistryGeologyBiology

Résumé

récupéré en direct d'OpenAlex

Lakes are significant sources of greenhouse gases to the atmosphere globally (DelSontro et al. 2018). The magnitude of these fluxes greatly depend on a lake’s trophic status that is sensitive to environmental change. To address considerable gaps in our understanding regarding how forecasted shifts in the environment may affect greenhouse gas dynamics of lake ecosystems, we investigated the underlying biogeochemical mechanisms that control the origins and fate of greenhouse gases methane (CH4) and carbon-dioxide (CO2) in the oligotrophic Lake Maggiore in Italy. Lake Maggiore is a deep oligomictic lake belonging to the LTER Italian and European networks (DEIMS ID: https://deims.org/f30007c4-8a6e-4f11-ab87-569db54638fe). It is located in Northern Italy’s deep subalpine Lake District that includes Lugano, Como, Garda and Iseo lakes. Studies on physical, chemical and biological features of Lake Maggiore have been conducted continuously since the 1980s. These efforts documented how the lake recovered from eutrophication due to remediation measures, and reached the current oligotrophic status. Long-term data also demonstrate how, in the oligotrophication phase, climate change became a significant factor impacting hydrodynamics, oxygen status, and nutrient levels (Rogora et al. 2021). Sampling for this study took place jointly with the regular monitoring schedule during the day in the summer, August 2023 and August 2024, at two locations in Lake Maggiore: Ghiffa, corresponding to the deepest point of the lake (370 m depth), and Pallanza, a semi-pelagic station (100 m depth). In addition to the regularly monitored parameters—such as chlorophyll, dissolved oxygen, and phosphorus, and nitrogen compounds—we measured the concentrations and stable carbon isotope values of dissolved CH4 and CO2, as well as major carbon pools, including dissolved and particulate organic carbon (DOC and POC), across depth profiles. Dissolved CO2 concentrations varied greatly from 7 µM in the surface layers to as high as 205 µM in the deeper waters, which is consistent with carbon-fixation by photosynthesizing algae or other microorganisms near the surface and/or the accumulation of CO2 from heterotrophy at depth. Methane concentrations along the depth profile in Ghiffa ranging from 7 nM to 357 nM (Fig. 1) were within the reported range for other oligotrophic lakes and, thus, were considerably lower than source methane concentrations in typical eutrophic lake ecosystems. The slightly elevated CH4 concentration near the bottom water at 360 m was indistinguishable based on its δ13C from the samples collected between 50 m to 300 m depths, demonstrating that methane sourced from the sediments is efficiently oxidized in the aerobic water column. Surprisingly, however, higher CH4 levels were detected in the surface waters (0-50 m) in both years than in the deeper layers (Fig. 1). The highest CH4 concentration (2026 nM) with a δ13C value as negative as −61.0 ± 0.2‰, which is consistent with a biogenic methane source, was recorded at 7 m depth in Pallanza, in correspondence with the chlorophyll maximum (8.5 µg/l). Collectively, these observations suggest the presence of lateral source(s) in the surface layers above 50 m from (a) methane imported laterally from the shoreline and inlets (Khatun et al. 2024), or (b) production by photosynthesizing microorganisms in oxic conditions (Bižić-Ionescu et al. 2018), or a combination of both. To facilitate a mechanistic understanding of critical cellular and environmental thresholds that drive the production of CH4 in the oxic surface layer, we conducted microcosm experiments using water samples from both locations (Ghiffa and Pallanza) in conjunction with the regular sampling campaign in August 2024. Methane production significantly reduced within one hour of inorganic phosphorus supplementation in samples collected from the surface chlorophyll maximum layer (8-10 m) at both locations. In contrast, no methane production was observed in deeper samples from below the chlorophyll maximum layers at 50 m. Consistent with the findings of Bižić-Ionescu et al. (2018), our observations indicate that CH4 levels at the oxic surface layer originate—at least in part—from photosynthetic microorganisms and that oxic methanogenesis is driven by enzymatic processes occurring in response to inorganic phosphorus limitation (high nitrogen to phosphorus ratios). This observation, however, does not exclude the possibility of additional contributions from other near surface sources, such as methane imported laterally from the shoreline. Our first-order observations of dissolved gases in Lake Maggiore add to the growing evidence that CH4 is produced at the oxic surface layer in aquatic ecosystems—a surprising finding, given CH4 production has been empirically associated with anoxic conditions. Furthermore, findings from our study demonstrate that oligotrophic lakes provide an opportunity to investigate secondary natural gas sources in aquatic ecosystems that would be difficult or impossible to study in other lake environments. For example, eutrophic lakes are exposed to higher levels of nutrient loads and different nitrogen to phosphorus ratios, which could inhibit oxic methanogenesis observed here. In addition, eutrophic lakes are often associated with overwhelmingly high methane inputs from anoxic sub-habitats, making it difficult to detect, distinguish, and quantify additional contributions even if they are present. Understanding the drivers and delineating the sources of dissolved gases, such as CH4 and CO2, in oligotrophic lakes will allow for their long-term monitoring, better forecasting if trophic changes may occur, and eventually estimating their broader contributions to methane and carbon budgets.

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 enseignants0,106
Score d'incertitude au seuil0,210

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
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 Opus0,014
Tête enseignante GPT0,222
Écart entre enseignants0,208 · 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
Publié2025
Routes d'admission1
Résumé présentoui

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