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Microclimate and Ammonia Production of an Unusual Littoral Maternity Roost for Mormoopid Bats, Pteronotus spp., in Pacific Coastal Costa Rica

2025· article· en· W4412949797 on OpenAlexaff
Donald A. McFarlane, Guy van Rentergem, Joyce Lundberg, Keith Christenson

Bibliographic record

VenueActa Chiropterologica · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsMicroclimateLittoral zoneGeographyEcologyBiology

Abstract

fetched live from OpenAlex

The metabolism of large numbers of bats roosting in confined cave spaces is expected to produce extreme microclimatic conditions (such as extreme heat, CO2 concentrations, ammonia levels). Here, we report a quantitative estimate of 12,661 ± 1,686 Pteronotus (Mormoopidae) individuals in Costa Rica's largest subterranean bat roost. This small cave has a roost area of only ca. 30 m2, equivalent to an average density of 426 bats/m2. Metabolic products of this dense accumulation of bats were expected to produce extreme concentrations of gaseous ammonia. However, atmospheric ammonia concentration in the cave was shown to fall well below modelled expectations, reaching a maximum of 145 ug/m3. We show that most of the ammonia derived from the breakdown of urinary nitrogen must dissolve into guano pore water and wall condensation rather than be released as gaseous ammonia as would occur under drier conditions. Air temperature in the center of the roost rises to ca. 34°C, consistent with our observations in a wide range of bat caves where roost ambient temperature never equals or exceeds bat body temperature. Moreover, the cave microclimate exhibits a circadian rhythm which we attribute to bat movement.

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 score0.196
Threshold uncertainty score0.328

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 communication0.0000.000
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 head0.015
GPT teacher head0.234
Teacher spread0.220 · 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
Published2025
Admission routes1
Has abstractyes

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