Managing for Ecosystem Resilience in Fathom Five National Marine Park, Lake Huron, Canada
Bibliographic record
Abstract
Protected areas are considered to be the cornerstone of biodiversity conservation strategies and are valued sources of human well-being and ecosystem services. Yet they are not immune to the unprecedented impacts being felt worldwide. As an example, increased human activity, including development, transport of invasive species, and contributions to climate change, are transforming protected areas within the Laurentian Great Lakes into new and novel ecosystems. It is in this context of uncertainty that I explored the practice of managing for resilience. Canada’s first national marine conservation area, Fathom Five National Marine Park in Lake Huron, functioned as the study area. Besides profound and complex ecosystem change, Fathom Five is also experiencing governance challenges in the form of tangled responsibilities and issues of legitimacy. The resilience-based approach recommended elements that strengthened the capacity of the park to cope with and recover from disturbance and maintain its defining structures, functions, and feedbacks. This included a reduction of vulnerabilities (e.g., limit exposure to coastal fragmentation, manage disturbance regimes, and maintain functional and response diversity), an increase in adaptability (e.g., need to foster social learning, innovation, and improved governance structures), and an ability to navigate change (e.g., better express desired state, identify thresholds, and influence transformations), within established management practices. More specifically, methods to make spatial planning and monitoring more operational and resilience-based, were developed. For spatial planning, the decision-support tool Marxan with Zones was utilized and demonstrated how themes of representivity, replication, and connectivity could be applied in a resilience-based zoning context. For monitoring, a multivariate distance-based control chart method was developed to detect a decrease in resilience of the parks coastal wetland fish communities. Although an increase in variability was observed, a regime shift was not reported during the years investigated (2005-2012). In summary, the thesis provided an original contribution to science by examining the uncertainties and complexities facing a freshwater protected area and reframing practical conservation solutions through a resilience lens.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".