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Record W2021183056 · doi:10.1525/auk.2012.129.1.189

Ned K. Johnson Young Investigator Award, 2011

2012· article· lt· W2021183056 on OpenAlexaboutno aff
Alice Boyle

Bibliographic record

VenueThe Auk · 2012
Typearticle
Languagelt
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyGeography

Abstract

fetched live from OpenAlex

Alice Boyle near Ithaca, New York, April 2010. (Photograph by Lisa Kennedy.) The Ned K. Johnson Young Investigator Award was created to recognize outstanding and promising ornithological research contributions made by persons early in their careers, with the hope and expectation that such individuals will provide future leadership in ornithology within and beyond North America. The AOU is proud to announce that the 2011 Ned K. Johnson Young Investigator Award goes to Dr. W. Alice Boyle, a postdoctoral fellow in the Department of Biology at the University of Western Ontario, where she has worked with Chris Guglielmo and Ryan Norris (another Ned K. Johnson Award winner, in 2006) since 2007. Boyle conducts exciting and original research on the evolution and ecology of migration in birds. In her short career, she has already made significant contributions in her field. During her Ph.D. work, Boyle sought to understand the ecological and behavioral characteristics of tropical migrant species that made them the evolutionary precursors for long-distance temperate migrants. She made great progress in this area and elegantly tested long-standing hypotheses using extensive phylogenetic comparative analyses. She then conducted a series of detailed (and arduous) field studies in Costa Rica on altitudinal migration. It was there that she tested competing hypotheses about the ecological factors that contribute to the evolution of migration between high-elevation breeding areas and low-elevation non-breeding areas. Using artificial nests, she was first able to rule out the hypothesis that high nest-predation risk at low elevation leads to migration. What she found next was even more interesting. It had long been held that because most altitudinal migrants are frugivorous or nectarivorous, their movements must track the availability of fruits and flowers. In a massive study of seasonal fruit production, Boyle found that migrants leave high-elevation sites in the rainy season despite there being greater food availability higher up than down slope. These findings led her to formulate the “limited foraging opportunity” hypothesis, which posits the novel idea that severe multiday rain events at high elevations can reduce the foraging ability of birds, such that they have lower apparent food availability and migrate to avoid these bottlenecks. This new perspective was a major shift in thinking about tropical migration and foreshadows important consequences of climate change. Boyle's other studies have contributed solid support for the limited foraging opportunity hypothesis. While working in Costa Rica, Alice discovered that the White-ruffed Manakin (Corapipo altera) is a partial migrant (i.e., only some individuals in the population migrate) and that migration is sex- and condition-dependent (males and low-condition individuals of both sexes are more likely to migrate). Her postdoctoral research has been directed at the ecological, behavioral, and physiological mechanisms that maintain partial migration in this species. She has learned a variety of new approaches, such as using physiology to understand condition-dependent behavior, and stable isotope analysis of claws to infer altitudinal movement history. Her first paper from this work definitively showed that the arrival of major rainfall events causes the down-slope migration of manakins and that there are significant physiological costs to individuals that remain at high elevation. This study was published as a cover story in the Proceedings of the Royal Society B. It also resulted in widespread press coverage in Science Now and the Canadian Broadcasting Corporation's weekly national science radio show “Quirks and Quarks.” The second part of the study, now in review at Biology Letters, shows for the first time a direct fitness tradeoff between reproduction and migration in birds. Male manakins that migrate down-slope in the rainy season pay a reproductive cost by losing their status at kicking logs. Males that remain at high elevation (and risk perishing) benefit by increasing their status at lekking logs, and attract and mate with more females. We are very excited about these findings, which are a major contribution to our understanding of the evolution of migration in birds. This past spring, Boyle initiated a new collaboration with David Winkler at Cornell University to study interactions among migration arrival date, physiological condition, and reproductive performance in Tree Swallows (Tachycineta bicolor). She is using novel methods, such as magnetic resonance body composition analysis and plasma metabolites, to understand how arrival condition and severe weather events affect reproductive investment by adults and growth allocation in nestlings. Boyle's work integrates advances from the fields of ecology, physiology, and behavior to answer evolutionary questions. Thus, her work is filled with strong empirical data that fit together into a theoretical context. Furthermore, there is a very real application of her findings. As climate changes, the incidence and severity of rainfall in the tropics are predicted to change from current patterns. Because many altitudinal migrant birds are frugivorous, they are the major seed dispersers for woody plants in tropical communities. Changes in rains will likely alter the movements of these birds and change the ecosystem functions they serve. Her work will have far-reaching implications for both basic and applied research in ornithology. Alice Boyle has already established a strong record of accomplishment, and her reputation will continue to grow. The AOU believes that her body of work is exemplary, showing how a promising researcher skillfully uses birds to study important basic and applied questions in ecology and evolution. She is therefore the recipient of the Ned K. Johnson Young Investigator Award. Award criteria.—The Ned K. Johnson Young Investigator Award recognizes outstanding and promising work by a researcher early in his or her career in any field of ornithology. Candidates should excel in research and show distinct promise for leadership in ornithology within and beyond North America. Each candidate is required to have received a doctorate degree within 5 years of being nominated and must be a member of the AOU at the time of nomination. Candidates cannot have received the award previously. The award consists of a framed certificate and an honorarium provided through a gift to the endowment of the AOU honoring Ned K. Johnson, a lifelong supporter and former president (1996–1998) of the AOU. This award, presented for the first time in 2005, is funded by the Ned K. Johnson Fund of the AOU.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.309
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0070.002
Open science0.0030.006
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.3090.219

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 head0.024
GPT teacher head0.241
Teacher spread0.218 · 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.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2012
Admission routes1
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