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Assessing five decades of change in a high Arctic parasitoid community

2013· article· en· W2050927714 on OpenAlexafffundabout
Laura Timms, Andrew M. R. Bennett, Christopher M. Buddle, Terry A. Wheeler

Bibliographic record

VenueEcography · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsMcGill University
FundersGovernment of Nunavut
KeywordsEcologyArcticSpecies richnessClimate changeHerbivoreBiodiversityEcosystemBiologyRange (aeronautics)Abundance (ecology)ParasitoidSpecies diversityGeographyHymenoptera

Abstract

fetched live from OpenAlex

Arctic ecosystems are fragile, and are particularly sensitive to the pressures of climate change. Both average temperature and precipitation have increased over the past five decades on Ellesmere Island, Nunavut, Canada in the high Arctic. Altered growth forms and increased biomass in dominant plant species on Ellesmere Island have been observed concurrent with the changing climate, but shifts in the diversity or rank abundance of plant and bird species have not been detected. Changes in diversity may take longer to appear, or may be assessed better using organisms with shorter generation times such as insects. We explored the ecological impacts of climate change on Ellesmere Island using historical and contemporary communities of ichneumonid wasps. We compared community diversity, functional composition, and body size of two common species using ichneumonid specimens collected in 1961–1965, 1980–1982, 1989–1992, and 2010. We found high compositional similarity between collections, overlapping estimates of species richness, no change in the proportion of idiobiont genera in the community, and no clear pattern in body size over time. The greatest amount of variation over time was detected in parasitoids of herbivores; proportionally fewer herbivore‐parasitizing genera were found in 2010 than in historical collections, and the two genera that were only found in one of the four collections were both parasitoids of herbivores. Our results point to the need to assess climate change effects in Arctic systems using a range of taxa, and responses to large‐scale environmental disturbances may be idiosyncratic and difficult to predict.

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 categoriesInsufficient 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 score0.030
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0300.000

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 head0.066
GPT teacher head0.302
Teacher spread0.235 · 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

Citations19
Published2013
Admission routes3
Has abstractyes

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