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Record W6921823151 · doi:10.7944/p9msbgdw

U.S. Fish and Wildlife Service Final Report: Stable Hydrogen-Isotope Analysis of Peregrine Falcons in the United States

2023· article· en· W6921823151 on OpenAlexaffabout

Bibliographic record

VenueFWS DOI Tool Production Environment · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsKlohn Crippen Berger (Canada)Nunavut Wildlife Management Board
Fundersnot available
KeywordsFeatherWildlifeFish <Actinopterygii>Isotope analysisHydrogen isotopeRange (aeronautics)Population

Abstract

fetched live from OpenAlex

We addressed a United States Fish and Wildlife Service (USFWS) commitment to undertake hydrogen isotopic analyses of feathers (&amp;amp;ldquo;Stable hydrogen isotope ratios from feathers&amp;amp;rdquo;) collected from falconer-harvested passage peregrine falcons (Falco peregrinus) by: (1) developing a map using feathers collected from falcons of known origin, (2) linking falconer-harvested passage peregrines to natal origin, and (3) estimating the degree to which the predicted make-up of the harvest in the USFWS Final Environmental Assessment (EA) was correct (i.e., greater than 64 percent of peregrines originated from high latitudes). The USFWS coordinated the collection of 125 feathers in the United States from known-origin nestlings and unknown-origin passage peregrine falcons from 2009 to 2011. To supplement the USFWS sample, we used existing &amp;amp;ldquo;Stable hydrogen isotope ratios from feathers&amp;amp;rdquo; data from a collection of feathers coordinated by the Canadian Wildlife Service (CWS) from 1993 to 2002. The CWS sample included 172 known-origin feathers from throughout North America and 105 feathers from unknown-origin passage peregrine captured on migration at South Padre Island, Texas by Earthspan. Differences in analytical methodology between laboratories used by the USFWS and CWS to analyze samples yielded results that could not be compared. We, therefore, examined the USFWS and CWS samples separately using single factor ANOVA and Tukey post-hoc tests to undertake multiple comparisons of mean &amp;amp;ldquo;Stable hydrogen isotope ratios from feathers&amp;amp;rdquo; values for feathers collected from known-origin nestlings from three management populations (eastern, western, and northern) and unknown origin passage peregrine falcons. In general, isotope ratios of feathers from passage peregrines in both the CWS and USFWS samples differed significantly from those of feathers from populations of eastern and western peregrines. Isotope ratios of feathers from passage peregrines in both the CWS and USFWS samples were not different from those of northern peregrines. We then used a published stable hydrogen isotope-in-precipitation isoscape to regress &amp;amp;ldquo;Stable hydrogen isotope ratios from feathers&amp;amp;rdquo; values from the CWS sample against mean annual mean annual stable hydrogen ratio values in precipitation to develop a &amp;amp;ldquo;Stable hydrogen isotope ratios from feathers&amp;amp;rdquo; isoscape. We used the resulting isoscape to show that the majority (greater than 75 percent) of unknown-origin passage peregrines captured on South Padre Island likely originated from northern regions. This analysis was hampered by (1) the paucity of known-origin feathers from the northern management population in the USFWS sample (i.e., only two known&amp;amp;ndash;origin samples were collected from latitudes north of 49 degrees N), (2) the fact that the USFWS and CWS samples were not comparable, and (3) that our estimate is reported without an associated measure of uncertainty. Although some degree of uncertainty remains as a result of these weaknesses, we believe that the results reported here are sufficient to answer, in a preliminary way, the primary question posed in the EA, and they support the prediction that the majority of passage peregrine falcons taken by falconers in the period 2009-2011 originated from areas north of 54 degrees N.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.234
Teacher spread0.214 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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