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Record W7133276613

Gully monitoring review : 2021

2022· other· en· W7133276613 on OpenAlexfundno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFisheries and Oceans Canada
KeywordsBaseline (sea)Context (archaeology)Work (physics)EcosystemEnvironmental monitoringEcosystem healthBay
DOInot available

Abstract

fetched live from OpenAlex

A review of baseline data and trends for the Gully Marine Protected Area (MPA) monitoring indicators was conducted, as well as discussion of advances in understanding of the ecosystems in the Gully and linkages to the broader Scotian Shelf - Bay of Fundy bioregion. There was general agreement that the wide array of data being gathered, through a range of research and monitoring activities in and around the Gully, has increased understanding of its ecosystems and potential human impacts. Though this information provides a broad context to describe the ecosystem, more work is required to fully implement a standardized, long-term monitoring program, to help ensure that monitoring efforts continue to advance our understanding and reporting on the status of conservation priorities, and to detail how human activities influence conservation priorities so that mitigation options can continue to be developed as needed. The development of most monitoring indicators is still at an early stage. It is important that as data are collected and monitoring programs implemented, periodic assessments of effectiveness (i.e., the ability to detect change) are undertaken to guide improvements in the program’s ability to detect and characterize change. Available data give some indication of the success of the Gully in meeting its conservation objectives, but it is not yet possible to say whether it has fully achieved all objectives. Data were collected for most indicators though time-series analysis was only available for some, in particular those focusing on cetaceans and oceanography. While most indicators revealed little or no detectable change over various timescales, some notable trends were detected and are reported below. Trends reported here are considered to be meaningful (statistically significant) for the Gully, but they may not be reflective of broader regional trends (i.e., may not be reflective of the conservation status of a regional population). For example: Abundance of the Scotian Shelf population of Northern Bottlenose Whales (NBW; Hyperoodon ampullatus) has been increasing since 2010, following a period of decline before 2004. Sightings of calves have increased since 1998. Overall male and mature male NBW are more marked (scarred) than females and juveniles. Some mark types (notches, back indents) have increased over the period 1988–2019, which could in part be related to the age of identified individuals. The prevalence of anthropogenic injuries appears stable to increasing over this time period, at an annual rate of 1.7 individuals gaining entanglement or propeller scars per year. Within the Gully, number of sightings of other cetacean species have shown varied trends, since 1988: Sowerby’s Beaked Whale (Mesoplodon bidens) and Pilot Whales (Globicephala melas) sightings have increased, sightings of Humpback Whale (Megaptera novaeangliae), Fin Whale (Balaenoptera physalus), and some dolphin species have decreased, and sightings of Blue Whales (Balaenoptera musculus) increased in the mid-2000s but have since declined. Oceanographic properties in the Gully fluctuate considerably from year to year due to natural variability. Over the last two decades, when systematic monitoring has taken place, the only significant trend observed has been an increase in mid-depth (100–400 m) temperature due to the growing influence of warm slope water in the offshore region. Based on the joint DFO-Industry longline survey, Atlantic Halibut (Hippoglossus hippoglossus) biomass appears to be increasing in the Gully at a rate of about 5% per year, consistent with a population-wide trend. Observed densities of floating debris in the MPA declined between 1990 and 2019. Ocean ambient noise levels in the Gully were examined based on an analysis of Passive Acoustic Monitoring (PAM) datasets obtained from one deep-water site in the Gully between 2012 and 2019. No strong trend in low frequency long-term (6-yr) deep ocean ambient noise levels was observed over this period, though the 100 Hz to 500 Hz frequency band showed a slight increasing rate of approximately 0.30 dB per year. In situ baseline surveys using underwater imagery for benthic species and habitats have been undertaken throughout the Gully MPA, although no sites have been revisited to assess trends in indicators for coral abundance, diversity, and health. Gaps in spatiotemporal coverage for at-sea seabird surveys persist within the Gully and adjacent areas. Three key ecological attributes with associated indicators were identified for seabirds as a conservation priority: areal density, relative use of Gully habitat, and biodiversity. However, potential trends in these indicators have not been fully explored. Offshore petroleum drilling activity around the MPA has ceased; the Deep Panuke and Sable Offshore Energy projects were decommissioned at the end of 2020. Potential impacts of climate change on the Gully include rising ocean temperatures, ocean acidification, reduced dissolved oxygen availability, and novel combinations of environmental variables, which could lead to physiological responses, reduced growth and survival rates, and potential range shifts in species including NBW. Climate indices (initial focus on temperature, pH, and dissolved oxygen) and biological indicators predicted to respond to climate change should be monitored over the long-term. Long-term monitoring programs within the MPA provide an invaluable empirical basis on which to evaluate performance, efficacy, and change over time. Science programs can also make cost-effective contributions through short-term, targeted baseline and characterization work, including process-oriented studies to discover critical pathways that offer potential for more efficient monitoring in the future.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.015

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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2022
Admission routes1
Has abstractyes

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