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Record W2293344450

West Coast Aquatic Marine Planning Approach: Integrating Cultural Ecosystem Services

2014· article· en· W2293344450 on OpenAlexaboutno aff
Jennifer Spencer, Andrew Day

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsEcosystem servicesEnvironmental resource managementEcosystemFisheryGeographyEnvironmental planningOceanographyEnvironmental scienceEcologyGeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

West Coast Aquatic and Planning RoleWest Coast Aquatic (WCA) is a forum for governments, communities, and businesses to work together on the health and wealth of the West Coast of Vancouver Island (WCVI) marine area. Most recently, WCA recently produced and approved a Coastal Strategy for the West Coast, which outlines principles, values, goals and objectives for the region. The Coastal Strategy also includes priority action areas, one of which is marine spatial planning in Barkley and Clayoqout Sounds.The WCA approach to marine spatial planning includes the development of an adaptive planning tool, which provides a Sound-wide spatial depiction of the different values in the area so that businesses, planners and managers can make better informed decisions as development opportunity grows and environment changes. Included in this tool are maps with designations that show current values and circumstances in each planning unit. The value of this approach provides more detailed guidance to new applicants and planners about areas that may or may not be suitable for development without undermining ecological, cultural and other values, thus decreasing the risks and realities of future negative impacts and conflicts. West Coast Aquatic Planning Approach and Inclusion of Cultural Ecosystem ServicesThe West Coast Aquatic planning approach is highly participatory, with partnerships and engagement at the community level and also with multiple government agencies, institutions, and sector associations. A participatory approach is reflected in the planning process through the collection and use of local, sectoral, managerial, and expert knowledge, data, values, and goals to inform plan development. With its partners, WCA discusses current and future uses that respect the area and its important cultural, social, economic, and ecological features and values. Non-material values linked to ecosystems, including sense of place, aesthetic values, cultural heritage and others, strongly contribute to well-being for those living and visiting Barkley and Clayoqout Sounds.Data collection was an important initial stage in WCA’s planning. Our data sources range from publically available data, data from researchers obtained though sharing and protocol agreements and data collected through local knowledge mapping interviews with user groups and First Nations. Protocol agreements have been put in place to govern the use and ownership of information collected and shared during the planning process, while providing WCA staff the opportunity to integrate culturally sensitive information into draft planning tools. The approach has provided an understanding of community visions and values for locations throughout the planning area, and the ability to map and characterize many of those values, including cultural ecosystem services. The result has allowed WCA to establish a new integrated decision-making approach to an area which previously lacked coordination and knowledge between sectors, jurisdictions and community. An adaptive planning approach will now allow the region to consider a wide spectrum of values when making integrated decisions about appropriate future locations for development and protection.

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.206
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.005
Science and technology studies0.0050.002
Scholarly communication0.0090.003
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.004

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 head0.012
GPT teacher head0.200
Teacher spread0.188 · 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
Published2014
Admission routes1
Has abstractyes

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