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Record W2781731477

Collaborative approaches to multi-disciplinary monitoring of the Chukchi shelf marine ecosystem: Networks of networks for maintaining long-term Arctic observations

2017· article· en· W2781731477 on OpenAlexaff
Seth L. Danielson, Katrin Iken, Claudine Hauri, Russell R. Hopcroft, Andrew M. P. McDonnell, Peter Winsor, Catherine Lalande, Jacqueline M. Grebmeier, Lee W. Cooper, John K. Horne, Kathleen M. Stafford

Bibliographic record

VenueOCEANS 2017 – Anchorage · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsOceanographyArcticMarine ecosystemEnvironmental scienceContext (archaeology)Ocean observationsMarine habitatsShoalBenthic zoneSea iceEcosystemHabitatFisheryGeographyEcologyGeology
DOInot available

Abstract

fetched live from OpenAlex

In 2015, the Hanna Shoal region of the Chukchi Sea shallower than the 40 m isobath was withdrawn from outer continental shelf oil and gas exploration, a move the White House noted was designed to protect areas of “critical importance … for marine mammals,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.

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)0.014
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0020.008
Research integrity0.0010.001
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 head0.087
GPT teacher head0.268
Teacher spread0.181 · 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
GenreEmpirical

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

Citations8
Published2017
Admission routes1
Has abstractyes

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