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Record W2781537877

Implications of Marine Protected Areas on Social-Ecological Wellbeing in the Bay of Fundy, Canada

2018· dissertation· en· W2781537877 on OpenAlexfundaboutno aff
Irene Brueckner-Irwin

Bibliographic record

VenueUWSpace (University of Waterloo) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaFisheries and Oceans CanadaUniversity of Waterloo
KeywordsBayEcologyFisheryOceanographyGeographyEnvironmental scienceBiologyGeology
DOInot available

Abstract

fetched live from OpenAlex

Globally, marine protected areas (MPAs) are proliferating to meet Aichi Target 11 under the Convention on Biological Diversity – to protect 10% of coastal and marine areas by 2020. MPAs hold promise to enhance the ecological integrity of the oceans, but their social implications require closer examination. MPAs create a range of benefits and costs that are distributed differentially across stakeholders, including coastal communities that depend on marine resources. Support from these communities is critical to enhance the effectiveness of MPAs. This research develops and applies a social-ecological wellbeing perspective to examine the relationship between MPAs and the wellbeing of an inshore fishing community in the Bay of Fundy, Canada. Specifically, this research addresses the following three objectives: (1) understand stakeholder perceptions of MPAs in relation to social-ecological wellbeing; (2) examine how the social and ecological benefits and costs of MPAs are distributed across two cases, and across stakeholders; and (3) generate social-ecological wellbeing insights to contribute to the effectiveness of MPA governance. \n \nThis research applies an inductive qualitative case study approach to the coastal region of Southwest New Brunswick. Within this region, two cases were examined: (1) the Musquash Estuary MPA, which was designated in 2006, and (2), the Outer Quoddy Ecologically and Biologically Significant Area, which is on a longlist of areas that may become an MPA in the future. Research methods included a literature review, observations, 49 semi-structured interviews, and four visioning focus groups. Participants included 27 fishers and 22 other non-fisher informants. \n \nKey findings from this research first reveal that 15 attributes of wellbeing were perceived to be influenced by MPAs, across material, relational, subjective, and ecological dimensions. At both locations, the most-referenced attributes were collaborative decision-making and fishery access, suggesting that these particular issues were most significant to participants. Second, attributes were more commonly perceived as benefits at the Musquash MPA, whereas they were generally perceived as costs to fishers at Outer Quoddy. The disparity between cases demonstrates that despite the historical precedent of a relatively low-impact MPA at Musquash, there is still apprehension in the region about potential future MPAs. Apprehension was largely attributed to the current top-down government mandate driving MPA network development in Canada. Third, in order to be more effective, MPA governance must address the potential displacement of fishers as a result of MPAs, improve the decision-making approach for MPA network planning, and enhance the social and ecological fit between MPAs and the local context of the region. These governance implications may be better addressed using a model of co-management, which would recognize the role of the central government in decision-making, while giving fishers more authority to plan locally relevant and meaningful conservation initiatives. \n \nMajor contributions of this research include the development and application of a social-ecological wellbeing framework, as well as governance insights to enhance MPA effectiveness. Ultimately, this research has revealed a complex and context-dependent relationship between MPAs and the wellbeing of the inshore fishing community in Southwest New Brunswick. Given the current momentum behind MPAs, an opportunity exists to develop marine conservation strategies that align with local priorities and contribute to the conservation of biodiversity in the Bay of Fundy.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.624

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.005
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.194
Teacher spread0.183 · 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 designQualitative
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

Citations0
Published2018
Admission routes2
Has abstractyes

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