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Record W7066715245

Investigating Red Knot Migration Ecology along the Georgia and South Carolina Coasts: Spring 2019 Season Summaries

2019· article· en· W7066715245 on OpenAlexaboutno aff

Bibliographic record

VenueW&M Publish (College of William & Mary) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeWildlife refugePopulationEndangered speciesFlywayHabitatEcoregion
DOInot available

Abstract

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The rufa subspecies of the Red Knot (Calidris canutus) has declined significantly in the past 35 years, leading to federal listing (US Fish and Wildlife Service Federal Register Vol. 79 No. 238, 2014a) under the Endangered Species Act in the United States (16 U.S.C. 1531 et. seq) and Canada (COSEWIC 2007, SARA 2007). Evidence for the decline is seen in long-term surveys of a major spring staging site (Dunne et al 1982, Clark et al. 1993, Niles et al. 2008) and the largest known over-wintering site (Morrison et al. 2004). In only 30 years, the estimated population has declined from 100,000-150,000 to possibly below 30,000 (Niles et al. 2007) leading some researchers to suggest the population is highly vulnerable to extinction (Baker et al. 2004). The determination of regional population estimates and identification of major stopover sites are considered to be the highest priority for the Georgia Department of Natural Resources State Wildlife Action Plan (2015), the Atlantic Flyway Shorebird Business Strategy (Winn et al. 2013), the US Shorebird Plan (Brown et al. 2001), the USFWS Red Knot Spotlight Species Action Plan (2010), and the Western Hemisphere Shorebird Reserve Network (WHSRN) Red Knot Conservation Plan for the Western Hemisphere (Niles et al. 2010a). The Georgia Department of Natural Resources State Wildlife Action Plan ranks the Red Knot as a high priority species (with state status of “Rare”) and ranks research of the Red Knot as one of the primary conservation actions needed within the state. A band resight program was initiated along the Georgia coastal barrier islands during the fall of 2011 and spring of 2013 and 2015-2016 giving baseline information for those seasons (Lyons et al. 2017, Smith et al. 2017). A trapping and tagging project was initiated in South Carolina in recent years, though there has been no systematic resight effort within the state. The patterns observed in both studies suggest that Red Knots are using the south-Atlantic through Delaware Bay in spring as an open network of staging areas. Recent tagging results in South Carolina have documented direct spring flights from South Carolina to James Bay, suggesting that the south-Atlantic stopovers are more important in the life-cycle of shorebirds than is currently thought. It is currently unknown what percentage of Red Knots use the direct flight strategy vs. stopping in Delaware Bay on their northbound migration. Winter resighting work conducted in South Carolina suggests that virtually no Red Knots wintering along the south-Atlantic use Delaware Bay in spring migration. Although movement and settlement “decisions” are likely influenced by foraging conditions throughout the network, investigations into the factors driving movements during migration is necessary to better understand Red Knot migration ecology. This is critical in developing appropriate stopover models and adaptive management tools for land managers. The Georgia Department of Natural Resources, the South Carolina Department of Natural Resources, the US Fish and Wildlife Service, and The Center for Conservation Biology will initiate a Red Knot tagging and resighting program along the Atlantic Coast of Georgia during the spring of 2019 to be paired with the ongoing programs within Delaware Bay and elsewhere along the flyway. This project will provide critical data that will be used to analyze the ongoing questions regarding Red Knot habitat choice decision making in the south Atlantic Coast in spring. A large percentage (3-6%) of Red Knots have been previously captured and tagged with unique 2 to 3 digits alpha-numeric bands. This marked population allows for mark-resight studies of migratory populations of Red Knots with no capturing involved. A total of 27,356 Red Knots were detected during daily surveys in spring 2019 along the Georgia and South Carolina Coasts; of those, 4,917 were scanned for flags, and 315 individually banded Red Knots were resighted a total of 523 times from within the spring migrant population. A total of 71 marked to unmarked ratios were recorded during the field season, with an average of 3.6% of Red Knots individually marked over the course of the spring. The rough estimate for the total number of knots cycling through during the spring season is estimated superpopulation size for the spring 2019 season is 8,750 (3.6% of birds tagged and 315 individuals recorded). The Georgia Coast is a major stopover area annually for rufa Red Knots in spring migration and in certain years in fall migration. The superpopulation utilizing the coast in fall migration can exceed 23,000 birds (Lyons et al. 2017) and the rough estimate of spring migration superpopulation from this study is approximately 8,750 birds. The total estimated population of rufa Red Knots is 42,000 birds (Andres et al. 2012), suggesting that a high percentage of rufa knots are using the Georgia Coast in spring and in some years fall migration. There appears to be less variation in spring migration superpopulations between years than in fall migration, suggesting a more stable (but less abundant) food source for spring migrants.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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