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Record W2802464386

Shorebird Staging and Migratory Movements at Chaplin and Reed Lakes, Saskatchewan, with Implications for Wind Energy Development

2018· dissertation· en· W2802464386 on OpenAlexfundaboutno aff
Jessica Howell

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaEnvironment and Climate Change CanadaMinistry of EnvironmentMinistry of Environment - Saskatchewan
KeywordsGeographyWind powerCartographyEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Increasing knowledge of long distance shorebird (order Charadriiformes) migrations may elucidate causes of shorebird declines and direct management within migratory routes. Migrating birds rely on staging sites, areas with reliably high food abundance, for rest and refueling. Stressors at these sites could have population level impacts and post-migration carry-over effects. My thesis research examined staging bird abundance and migratory movements to and from Chaplin and Reed Lakes, Saskatchewan, a major staging site of hemispheric importance in the Central Flyway used by over 100,000 shorebirds each year. My objectives were to 1) examine time of peak abundance by multiple migratory shorebird species using Chaplin and Reed Lakes during spring and fall migration, as well as estimate spring stopover duration and population size of Sanderling (Calidris alba) and 2) investigate movement patterns of migratory shorebirds as they arrive at and depart from Chaplin and Reed Lakes, and determine the extrinsic factors influencing observed flight patterns to inform risk from current and future wind energy developments.\nI used a combination of point count surveys and radio telemetry data to meet my objectives. Staging, arctic-breeding species at Chaplin and Reed Lakes were counted weekly during spring northward (2014 – 2017) and fall southward (2016 – 2017) migration by conducting point count surveys to examine temporal patterns and estimate population size. Detailed assessments of my focal species, Sanderling included capture, banding and radio-tagging in the Gulf of Mexico and at Chaplin Lake (2015-2017) to track their migratory movements and stopover duration in relation to weather and time of day variables using automated radio telemetry.\nSpring migration involved larger numbers of species (including species at risk), larger numbers of individuals, and more concentrated timing among years than fall migration. Sanderlings staged for a mean of 11.1 (95% CI = 8.59 –13.6) days and population size averaged ~75,000 birds, with estimates ranging from ~56,000 to ~91,000 among years. Population estimates were seven to 17 times larger than raw peak abundance counts, demonstrating the need to account for stopover duration in population estimates. Chaplin and Reed Lakes departures, but not arrivals, were significantly influenced by time and weather. Sanderlings were more likely to depart at sunset or sunrise when winds were blowing towards the northwest at intermediate speeds and less likely to depart when winds were blowing towards the southeast at high speeds. Knowledge of when large numbers of birds are using the area and what environmental conditions are associated with migratory movements can be used to identify where and when birds are at the greatest risks of collision with wind energy turbines. My results have implications for shorebird conservation at Chaplin and Reed Lakes and other staging sites in the Central flyway, and my thesis provides recommendations for management and mitigation of threats from current and future wind energy developments.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.157
Teacher spread0.152 · 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 teacher head, not a consensus.

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

Citations1
Published2018
Admission routes2
Has abstractyes

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