Notice bibliographique
Résumé
<strong class="journal-contentHeaderColor">Abstract.</strong> Information on marine CO<span class="inline-formula"><sub>2</sub></span> system variability has been limited along the northeast Pacific Inside Passage despite the region's rich biodiversity, abundant fisheries, and developing aquaculture industry. Beginning in 2017, the Alaska Marine Highway System M/V <i>Columbia</i> has served as a platform for surface underway data collection while conducting twice weekly <span class="inline-formula">â¼1600</span>âkm transits between Bellingham, Washington, and Skagway, Alaska. Marine CO<span class="inline-formula"><sub>2</sub></span> system patterns were evaluated using measurements made over a 2-year period, which revealed the seasonal cycle as the dominant mode of temporal variability. The amplitude of this signal varied spatially and was modulated by the relative influences of tidal mixing, net community production, and the magnitude and character of freshwater input. Surface water pH<span class="inline-formula"><sub>T</sub></span> (total hydrogen ion scale) and aragonite saturation state (<span class="inline-formula">Ω<sub>arag</sub></span>) were determined using carbon dioxide partial pressure (<span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span>) data with alkalinity derived from a regional salinity-based relationship, which was evaluated using intervals of discrete seawater samples and underway pH measurements. High-<span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span>, low-pH<span class="inline-formula"><sub>T</sub></span>, and corrosive <span class="inline-formula">Ω<sub>arag</sub></span> conditions (<span class="inline-formula">Ω<sub>arag</sub><1</span>) were seen during winter and within persistent tidal mixing zones, and corrosive <span class="inline-formula">Ω<sub>arag</sub></span> values were also seen in areas that receive significant glacial melt in summer. Biophysical drivers are shown to dominate <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span> variability over most of the Inside Passage except in areas highly impacted by glacial melt. pH<span class="inline-formula"><sub>T</sub></span> and <span class="inline-formula">Ω<sub>arag</sub></span> extremes were also characterized based on degrees of variability and severity, and regional differences were evident. Computations of the time of detection identified tidal mixing zones as strategic observing sites with relatively short time spans required to capture secular trends in seawater <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span> equivalent to the contemporary rise in atmospheric CO<span class="inline-formula"><sub>2</sub></span>. Finally, estimates of anthropogenic CO<span class="inline-formula"><sub>2</sub></span> showed notable spatiotemporal variability. Changes in total hydrogen ion content ([H<span class="inline-formula"><sup>+</sup></span>]<span class="inline-formula"><sub>T</sub></span>), pH<span class="inline-formula"><sub>T</sub></span>, and <span class="inline-formula">Ω<sub>arag</sub></span> over the industrial era and to an atmospheric <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span> level consistent with a 1.5â<span class="inline-formula"><sup>â</sup></span>C warmer climate were theoretically evaluated. These calculations revealed greater absolute changes in [H<span class="inline-formula"><sup>+</sup></span>]<span class="inline-formula"><sub>T</sub></span> and pH<span class="inline-formula"><sub>T</sub></span> in winter as opposed to larger <span class="inline-formula">Ω<sub>arag</sub></span> change in summer. The contemporary acidification signal everywhere along the Inside Passage exceeded the global average, with specific areas, namely Johnstone Strait and the Salish Sea, standing out as potential bellwethers for the emergence of biological ocean acidification (OA) impacts. Nearly half of the contemporary acidification signal is expected over the coming 15 years, with an atmospheric CO<span class="inline-formula"><sub>2</sub></span> trajectory that continues to be shaped by fossilâfuel development.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,351 | 0,004 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».