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Record W7024751922

Social associations, patterns of urban habitat use and their implications for fitness in an avian long-distance migrant

2023· dissertation· en· W7024751922 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2023
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Financial Management
Canadian institutionsnot available
Fundersnot available
KeywordsForagingHabitatUrbanizationFlywayOverwinteringPopulationWildlifeAnatidaeBiological dispersal
DOInot available

Abstract

fetched live from OpenAlex

The rapid expansion of the human population and a global trend towards urban living has resulted in wildlife and humans co-existing in a shared landscape. These areas of high human density are complex and dynamic habitats for animals trying to optimise their foraging opportunities while minimising perceived risks associated with human interactions. Over the last two decades the field of urban ecology has advanced rapidly and studies have illustrated both the costs and benefits for urban dwelling animals. However, these studies have focused on resident species and neglected those migratory species reliant on urban areas at different stages along their route. This thesis will address this gap, aiming to assess the effect of urbanisation on the movement patterns and foraging behaviour of a long-distance avian migrant at their winter staging area. This study is focused on the East Canadian High Arctic population of light-bellied Brent geese (LBBG), Branta bernicla hrota, overwintering in Dublin, Ireland. As a capital breeder LBBG are reliant on resources acquired from the winter and spring staging areas to fuel their migratory flight and initiate breeding upon arriving in the Arctic. Given this, the availability and accessibility of adequate resources in the heterogenous landscape of Dublin are crucial to the survival and reproductive success of LBBG. In chapters 2 and 3 I used fine-scale GPS tracking data from 59 individuals during either the 2018/19 or 2019/20 winter combined with environmental data to explore the drivers of individual variation in movement patterns, habitat use and foraging behaviour. The social structure and non-random associations of this group forager were assessed in chapter 4 to determine implications for foraging success. From the 2019/20 cohort there were six tracked individuals that recorded a full migration cycle. Therefore, in chapter 5 I was also able to track pre- and post-breeding migratory characteristics, highlighting variation in phenology and individual strategies. The research carried out in this thesis reveals i) urban centric LBBG have flexible movement patterns, travelling further each day, demonstrating less repeatability between foraging trips and using larger home range, when compared to rural counterparts; ii) the preferred habitat is always wetlands/intertidal areas, however urban LBBG also rely on sports pitches despite high levels of vigilance being displayed on these sites; iii) foraging with familiar individuals enabled LBBG to prioritise feeding and reduce vigilance rates and iv) variation in pre- and post-breeding migratory strategy reflects temporal and physiological constraints commonly associated with a capital breeding life history strategy. Collectively the chapters in this thesis provide novel advances into the ecology of a long-distance migrant relying on an urban environment during their winter staging. They advance our knowledge of migrants’ ability to overcome the constraints associated with resource acquisition in an anthropogenic habitat and provide empirical evidence to inform the implementation of adaptive management strategies.

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.

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)0.001
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 score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.050
GPT teacher head0.279
Teacher spread0.229 · 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