Collaborative approaches to multi-disciplinary monitoring of the Chukchi shelf marine ecosystem: Networks of networks for maintaining long-term Arctic observations
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Résumé
In 2015, the Hanna Shoal region of the Chukchi Sea shallower than the 40 m isobath was withdrawn from outer continental shelf oil and gas exploration, a move the White House noted was designed to protect areas of “critical importance … for marine mammals, other wildlife, and wildlife habitat”. Arctic regions are projected to strongly manifest impacts of an altered climate and subsurface moored continuous observations are essential for understanding time-dependent marine processes that are likely to change in unanticipated ways. However, autonomous observations in this cold, ice-covered, and corrosive environment are difficult operations. Since 2014, the moored Chukchi Ecosystem Observatory (CEO) has been located in 45 m of water on the southern flank of Hanna Shoal just a few kilometers south of the marine protected area boundary. Concurrent measurements include physical, nutrient and carbonate chemistry, particulate, phytoplankton, zooplankton, fisheries, and marine mammal data sets. These measurements provide a unique multi-disciplinary view into the mechanistic workings of the Chukchi shelf ecosystem. Ship-based programs including the Arctic Marine Biodiversity Observation Network (AMBON) and the Distributed Biological Observatory (DBO) place the CEO within a broader spatial context of observations and provide vessel support for mooring recoveries and deployments, as well as visual marine mammal and marine bird surveys and both water column and benthic biological measurements. In turn, the CEO helps anchor the AMBON and DBO data in time with long duration and high temporal resolution sampling. The technology and the collaborative approach associated with AMBON, the CEO, and the DBO are leading to sustained observations that are expanding our ability to understand seasonality of physical, biochemical, and biological processes on Arctic shelves. These sustained observations are examining processes that contribute to short (seconds) and long (years) time scale variations, and the reasons that Hanna Shoal is of particular importance to walrus and other wildlife. Together, these programs' observations reveal consequences of wind and wave activity on ocean currents and water column hydrography, the annual cycle of nutrient draw-down and replenishment, the timing and composition of particulate matter settling, the status of lower trophic level biological communities, marine mammal activity, the distribution of ice keels, and the timing and location of fish and macrozooplankton in the water column. Such measurements are helping guide a better understanding of the ecological functioning of the biologically-rich Hanna Shoal region.
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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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 découle