Supplementary material, data, and code for "Warming sea surface temperatures are linked to lower shorebird migratory fuel loads"
Bibliographic record
Abstract
<b>Abstract.</b> Warming sea surface temperatures (SSTs) are altering the biological structure of intertidal wetlands at a global scale, with potentially serious physiological and demographic consequences for migratory shorebird populations that depend on intertidal sites. The effects of mediating factors, such as age-related foraging skill, in shaping the consequences of warming SSTs on shorebird populations, however, remain largely unknown. Using morphological measurements of Dunlin fueling for a > 3,000 km transoceanic migration, we assessed the influence of climatic conditions and age on individuals’ migratory fuel loads and performance. We found that juveniles were often at risk of exhausting their fuel loads <i>en route </i>to primary wintering grounds, especially following high June SSTs in the previous year; the lagged nature of which suggests SSTs acted on juvenile loads by altering the availability of critical prey. Up to 45% fewer juveniles may have reached wintering grounds via a non-stop flight under recent high SSTs compared to the long-term trend. Adults, by contrast, were highly capable of reaching wintering grounds in non-stop flight across years. Our findings suggest that juveniles were disproportionately impacted by apparent SST-related declines in critical prey, and illustrate a general mechanism by which climate change may shape migratory shorebird populations worldwide.Lagassé BJ, Breed GA. 2024. Warming sea surface temperatures are linked to lower shorebird migratory fuel loads. <i>R</i>. <i>Soc. Open Sci. </i>11:240324 (https://doi.org/10.1098/rsos.240324).<br>The “Data_files” folder includes 7 files: 1) Morphological measurements of Dunlin captured in Angyoyaravak Bay, Alaska; 2) Average daily sea surface temperature, air temperature, and precipitation in the central Yukon–Kuskokwim Delta, Alaska (1 May–31 Aug, 1978–80, 2004–06, 2008–10); 3) Average daily sea surface temperature in the central Yukon–Kuskokwim Delta, Alaska (11–24 June, 1977–2022); 4 & 5) Early October fuel loads presented in the manuscript; 6) Average daily wind conditions along the shortest migratory route (29 Sep–11 Oct 1978–80, 2004–06, 2008–10) ; and 7) The subset of staging Dunlin presented in Fig. 1b and 1c.The “.r” file includes code for loading .csv files and constructing data frames; running structural lean body mass, fuel load, climate, and flight range analyses; and generating figures.The “.pdf” file includes supplementary tables and figures.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.253 | 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; both teacher heads agree on what is shown here.
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".