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Record W7002141716

Monitoring of Owls and Nightjars, MOON, in Illinois - 2008 Report

2020· article· en· W7002141716 on OpenAlexfundaboutno aff

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceBird Studies CanadaIllinois Department of Natural Resources
KeywordsHabitatPopulationBarn-owlBarnPredationForagingNocturnal
DOInot available

Abstract

fetched live from OpenAlex

Because anecdotally we know that some species of owls, and possibly all three species of nightjars in Illinois, are declining Monitoring of Owls and Nightjars, MOON, was initiated in 2008.Owls to be monitored during this study were restricted to nocturnal species, because of the time of the study.Therefore, Great Horned Owl, Barred Owl, Eastern Screech-Owl, and Barn Owl were the primary owl species we are monitoring, while Common Nighthawk, Whip-poor-will, and Chuck-will's-widow were the nightjars we are monitoring.Fortunately for us, monitoring programs targeting owls and/or nightjars had already begun in the Northeast (Northeast Coordinated Bird Monitoring Partnership), Wisconsin (Wisconsin Bird Conservation Initiative), Canada (Bird Studies Canada), and the Southeast (U.S. Nightjar Survey Network).This helped us to lay a groundwork protocol so that we would be able to collaborate in the future with these other organizations to try and denote population trends, habitat requirements, and food requirements, and later make sound management decisions to conserve individual species.Being a first year study we knew our volunteer base would not be too robust to begin with, but we hoped it would pique interests as word got out about MOON.We were able to recruit 27 volunteers to run 23 routes.Volunteers created their own 9 mile long routes with 10 stops along suitable owl and nightjar habitat.Because Illinois is so agriculturally dominated using BBS routes was out of the question, as many of them did not fall within habitat that would be used by owls or nightjars.We have historical evidence, because of programs such as Spring Bird Count, Christmas Bird Count, and Breeding Bird Survey, that indicates where owls or nightjars have been detected in the past.There were three monitoring time frames in 2008, one in May, one in June, and one in July.Results indicated that of the owl species monitored there were 145 Barred Owls (15 routes), 11 Eastern Screech-Owls (7 routes), and 35 Great Horned Owls (12 routes) detected along routes.Along those same routes nightjars detected were 84 Whip-poor-wills (7 routes), 18 Common Nighthawks (7 routes), and 0 Chuck-will'swidows.Additionally, 3 American Woodcocks (3 routes) were detected.Given this was MOON's pilot year we decided, based on results, to modify the protocol for the second year of the study.Modifications will include incorporating an Eastern Screech-Owl playback at the end of the initial 6 minute listening period at each stop, as well as shifting sampling period times around to try and detect more owls.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.080
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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
Published2020
Admission routes2
Has abstractyes

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