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Record W7139248517

The Angle Trap : a highly effective trap for the capture of bats.

2013· dissertation· en· W7139248517 on OpenAlexaboutno aff
Melissa Conrad First

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2013
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHibernation (computing)PopulationTorporPopulation declineMyotis lucifugusCave
DOInot available

Abstract

fetched live from OpenAlex

White-nose syndrome (WNS) is currently classified as an emerging disease, caused by the fungus, Geomyces destructans, currently affecting hibernating bats across the Appalachian range, into Canada and locations in the Midwest (USGS, 2011). The effects of the disease have been devastating, with bats at infected sites showing 87-95% mortality and complete loss of populations in some caves (Blehert, 2009, Frick, 2010). One of the most significant findings to date is that WNS affected bats exhibit depleted white and brown fat reserves by mid-winter and, although this is not the causal factor for development of WNS, it has been found to be the ultimate cause of bat death in affected hibernacula (Blehert, et al. 2009). In addition, studies have found that bats in White-Nose syndrome areas may be entering hibernation with lower stores of body fat, predisposing them to starvation when affected by G. destructans (Kunz, 2009). The Chautauqua Institution (CI), Chautauqua, NY is home to approximately 5,000 little brown bats (Myotis lucifugus) in maternity colonies occupying the attics and crawlspaces of the 750, lakeside seasonal homes and buildings there (Neilson, 1991, Syme, 2001, this study). The population is assumed to be affected by White-Nose syndrome since approximately 30% of the bats captured from two of the colonies during the summer of 2010 exhibited White-nose syndrome type wing damage and the fungus was identified in hibernacula approximately 75 km from the (CI) the preceding winter, 2009-2010 (USGS, 2011). However, this population appears to be stable, although affected by WNS. We studied the feeding-ecology of this population to determine if there were factors contributing to increased survival in WNS affected bats that reside at the CI. We found that preferred prey (Diptera) numbers were more than adequate for reproduction and pre-hibernation fat deposition and were not affected by either precipitation levels or ambient temperature. We also found that bats exhibiting WNS type wing damage did not have significantly different body mass indices (BMI's) than their unaffected conspecifics. Bats at the CI have maintained BMI in comparison to historical data. This combined with an abundance of roosts may contribute to the stability of a WNS affected population.-- (leaf 2) The capture of large numbers of bats from given populations has been a challenge since bat trapping schemes were first devised. The two most commonly employed devices are the harp trap, utilizing a series of parallel wires to disrupt bats in flight and mist nets, borrowed from avian research, that function to entangle bats that contact it while in flight. Modifications to both have been made to increase their efficiency but both still suffer from relatively low capture rates, and can be cumbersome to use. We have constructed and utilized a trap for bats that has capture rates of between 80 and 100% when deployed at the entrances to maternity roosts of little brown bats (Myotis lucifugus). Our trap incorporates a mechanism for detaching the bag holding captured bats and attaching a new bag so that trapping can continue uninterrupted while processing of captured bats can begin. Using this trap we were able to capture 456 bats in one evening using 4 holding bags in succession. The principles used in the angle trap could be applied to larger, megachiropteran species as well as more open environments, such as flyways and feeding sites. -- (leaf 36)

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.007

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 head0.010
GPT teacher head0.182
Teacher spread0.172 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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