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Record W7042828870

Range change in Cecropia and Azteca: the effects of climate change on mutualistic partners in Monteverde, Costa Rica, May 2008

2008· article· en· W7042828870 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeCecropiaRange (aeronautics)InvertebrateFaunaPopulationBiodiversityGlobal warming
DOInot available

Abstract

fetched live from OpenAlex

The effects of climate change on the fauna of the Monteverde area has been well documented for vertebrate taxa such as birds, anurans, Norops spp, (Pounds 1999) and bats (LaVal 2004), but like the rest of the world little work has been done on the effects of climate change on invertebrates. This study examines the altitudinal ranges of the four species of Azteca and the three species of Cecropia living between 1500 and 700m in an area from Monteverde-Cerro Plano to San Luis. The current ranges of species are compared to elevations from a 1985 survey by John Longino (Longino 1989) and a 2003 survey by Mazzei (2003). In the last 23 years two species, A. xanthochroa, and A. alfari, are shown to have moved significantly up slope with a change in mean elevation of 103m, and 100m (P= .0018, and .0348). A. constructor shows no evidence for upslope movement but it increased its relative population size threefold over that reported by Longino (1989). The lowermost Azteca, A. coeruleipennis, has not shifted with climate change but its distribution may be restricted by the range of C. peltata. The two ant-housing Cecropia species did not have significant changes in means, but the upper of the two, C.obtusifolia, did show an extension of its range upslope as well as an increase in hybrids between it and the uppermost non-ant-housing species C. angustifolia. These data are unique in showing the effect of climate change on invertebrate populations. Although the impact of climate change on invertebrates throughout the world has been poorly studied, this study suggests that they can be heavily impacted by climate change.

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)0.000
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 score0.099
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

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

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 head0.036
GPT teacher head0.202
Teacher spread0.166 · 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
Published2008
Admission routes1
Has abstractyes

Explore more

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