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Record W7093648674

DO ARCTIC-NESTING GEESE COMPETE WITH SANDHILL CRANES FOR WASTE CORN IN\nTHE CENTRAL PLATTE RIVER VALLEY, NEBRASKA?

2005· article· W7093648674 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2005
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSandhillSnowWaterfowlAnatidaeHabitatGoose
DOInot available

Abstract

fetched live from OpenAlex

Numbers of arctic-nesting geese staging in spring in the Central Platte River Valley (CPRV) of southcentral Nebraska increased dramatically from the 1970s to the 1990s, raising concerns that geese may be competing with the mid-continental population of sandhill cranes (Grus canadensis) for waste corn. From late February to mid-April 1998-2001, we measured temporal patterns of cropland use, evaluated habitat preferences, and compared numbers of geese using the primary crane-occupied parts of the CPRV area with numbers of sandhill cranes. Numbers of Canada geese (Branta canadensis), lesser snow geese (Chen caerulescens)/ Ross’ geese (Chen rossii), and greater white-fronted geese (Anser albifrons) peaked an average of 2.3, 2.8, and 1.5 weeks before sandhill cranes, with 90% of goose numbers occurring by 21, 15, and 21 March when averaged over the 4-year period. Numbers of sandhill cranes, on average, were highest on 26 March. All bird groups used corn habitats in greater proportion than expected based on their availability (land area) and used soybean habitats less than expected. Across years, 37.5, 82.5, 53.7, and 44.3% of Canada geese, lesser snow geese/Ross’ geese, greater white-fronted geese, and sandhill cranes, respectively, occurred in quadrants in which cornfields in various post-harvest treatments constituted > 90% of the annually planted cropland. From 1998 through 2001, 0.1, 0, 0, and 2.5% of Canada geese, lesser snow geese/Ross’ geese, greater white-fronted geese, and sandhill cranes, respectively, occurred in quadrants where > 90% of the annually planted cropland was in soybeans. Overall, estimated numbers of geese annually averaged 66, 46, 39, and 62% of estimated numbers of cranes in the CPRV. When viewed in the context that arcticnesting geese rely primarily on waste corn to meet their energy needs in Nebraska and crane capacity to store fat has declined over the past 20 years, these relationships suggest geese were important competitors of sandhill cranes for waste corn in the CPRV area during 1998-2001.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.017
GPT teacher head0.235
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 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
Published2005
Admission routes1
Has abstractyes

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