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Record W7028069842

The ecological effects of storm surges on Arctic bird and vegetation communities in the outer Mackenzie Delta, Northwest Territories

2023· dissertation· en· W7028069842 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsVegetation (pathology)StormArcticStorm surgePlant communityClimate changeDisturbance (geology)
DOInot available

Abstract

fetched live from OpenAlex

Coastlines in the Western Canadian Arctic are predicted to experience increases in the frequency and intensity of storm surges as rapid climate change continues to alter weather and biophysical factors of this land-sea connection. Although storm surges have the potential to cause widespread and persistent vegetation loss, little information is available about the influence of decreasing disturbance intervals (between storms), expected timelines of recovery for vegetation, and how this dramatic vegetation change alters habitat availability and/or quality for local wildlife populations. In my MSc research, I investigated how Arctic bird diversity is affected by heterogeneous vegetation recovery post-storm and characterized ecological recovery of vegetation from repeated disturbance. In the first part of my thesis (Chapter 2), I used a combination of Landsat & Sentinel satellite imagery (1984-2019) and measured post-storm soil & vegetation attributes to characterize vegetation loss and recovery in areas of the outer Mackenzie Delta (NWT) affected by storm surges in 1999 and 2016. My observations of areas affected by the 1999 storm indicate that sites farther from the river channel lacked vegetation re-establishment and had higher soil salinity. Furthermore, our analyses suggest that sites affected by the 1999 storm that were re- inundated by the 2016 storm differed in response depending on whether sites had previously revegetated or not; more vegetation re-established at the previously unvegetated sites, whereas there were decreases in the diversity of the plant community re-establishing at the previously revegetated sites. In the second part of my thesis (Chapter 3), I employed field survey protocols from the Program for Regional and International Shorebird Monitoring (PRISM) to investigate how avian community assemblage is affected by heterogeneous re-vegetation 20 years following the 1999 storm. Comparisons of my bird survey data with vegetation and habitat factors showed that the drier, post-storm vegetation barrens were preferred by ground-nesters or species that use open habitats such as lapland longspur and semipalmated plover; whereas the wetter, mostly ponded, revegetated habitats were frequented by species of ducks, red-necked phalarope, and savannah sparrow. Taken together, my research shows that areas that have revegetated after the 1999 storm can be considered as functionally recovered in comparison to our Reference (i.e., unaffected) sites in terms of vegetation and bird communities, but that areas still exist ~20 years post-storm that do not show any characteristics of recovery.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.664

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.266
Teacher spread0.231 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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