Nature-based Solutions for addressing climate risks and fostering biodiversity in the Lower Mainland of British Columbia
Bibliographic record
Abstract
Climate change and habitat loss are two intersecting issues facing communities and ecosystems in British Columbia’s Lower Mainland. In response to increasingly severe weather, municipalities have invested heavily in engineered defences like floodgates, dikes, and breakwalls, resulting in a profound loss of aquatic and riparian habitat. These lost ecosystems were once critical to local wildlife and provided water management services like flood mitigation and water filtration. Nature-based Solutions offer a unique opportunity to simultaneously address heightened climate risks and habitat loss by using a framework that values the benefits that intact ecosystems provide to human society. Our report highlights the services that Nature-based Solutions can provide, namely, flood mitigation, stormwater management, and carbon sequestration, while discussing successes and challenges associated with their implementation across the Lower Mainland. First, we introduce Surrey’s living dike in Boundary Bay, part of the city’s broader Coastal Flooding Adaptation Strategy. The living dike aims to address heightened coastal flood risk by incorporating components of a natural salt marsh into its design. This design will provide quality estuarine and riparian habitat for migratory birds and salmon in addition to creating a more climate resilient shoreline. Second, we highlight the City of Vancouver’s St. George Rainway project. Located in the heart of the Mt. Pleasant neighbourhood in Vancouver, the project will restore a buried creek along St. George Street. The restored creek will create urban stream habitat, filter pollutants from runoff, and improve rainwater management. This process, known colloquially as “daylighting,” is a new approach to urban rainwater management that values the ecological, economic, and social benefits of urban green space. Lastly, we place a spotlight on the protection of Burns Bog, a Nature-based Solution that foregoes active restoration. By protecting the bog in its current state, carbon remains locked in its soils and plants, actively mitigating climate change. Burns Bog is also an internationally significant stopover site for migratory birds, and contains a myriad of unique plant species found nowhere else in the Lower Mainland. Nearby communities also benefit from the water filtering services it provides, as well as its ability to mitigate flooding.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".