Isotopic Delineation of North American Migratory Wildlife Populations: Loggerhead Shrikes
Bibliographic record
Abstract
The ability to link breeding and wintering sites of declining or threatened species is fundamental to their effective conservation, but previous conventional methods such as banding have proved largely unsuccessful at the population level. New approaches to tracking migratory birds in North America, using stable isotope measurements of feathers, can assist in determining where feathers were grown and, hence, the origins of migrants on wintering grounds or stopover sites. Moreover, this approach is applicable to the use of metabolically inactive tissues of migratory animals other than birds. Here, we demonstrate how stable isotopes can be used to investigate the origins of a wintering population of a threatened species. The Loggerhead Shrike (Lanius ludovicianus) is declining throughout most of its range, but various factors may operate on different subpopulations. We used the stable-carbon (δ13C) and hydrogen (δD) isotope values in the outer tail feather of Loggerhead Shrikes wintering in Texas (n = 70), Florida (n = 121), and Georgia (n = 24) in 1997–1998, and northern Mexico (n = 72) in 1999, in order to ascertain the minimum percentage of wintering birds that were northern migrants. For comparative purposes, we also measured stable isotopic compositions of feathers from nestling shrikes from Manitoba (n = 6) and from known resident shrikes from Texas (n = 16). As expected, shrikes from Manitoba were more depleted in deuterium than shrikes from Texas, providing a clear isotopic gradient with which to compare the wintering population structure. Of wintering shrikes in Florida, ∼10% were northern migrants, compared with 8% for the Mexican sample and only 4% of the Texas population. We detected no northern migrants in the Georgia population. Most U.S. wintering shrikes had δD values around −30‰, indicative of southern latitudes, but a broader range in δD values was found for shrikes in northern Mexico. Shrikes wintering in Mexico may be composed largely of individuals originating from the eastern Rockies and central regions of the breeding range. The considerable variation in δ13C values indicated a broad range of C3- to C4-based food webs used by shrikes. Our study indicates that the stable isotopic technique answers a number of long-standing and fundamental questions concerning the breeding or natal origins of wintering populations of Loggerhead Shrikes and thereby provides a template for isotopic approaches to ecological investigations of other migratory species.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".