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Environmental warming increases invasion potential of alpine lake communities by imported species

2005· article· en· W2020079574 on OpenAlexafffund
Angela M. Holzapfel, Rolf D. Vinebrooke

Bibliographic record

VenueGlobal Change Biology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Conservation Association
KeywordsGlobal warmingEcologyBiomass (ecology)BiodiversityAlpine plantMontane ecologyZooplanktonClimate changeIntroduced speciesAlpine climateBiology

Abstract

fetched live from OpenAlex

Abstract Global warming increasingly pressures species to show adaptive migratory responses. We hypothesized that warming increases invasion of alpine lakes by low‐elevation montane zooplankton by suppressing native competitors and predators. This hypothesis was tested by conducting a two‐factor experiment, consisting of a warming treatment (13 vs. 20°C) crossed with three invasion levels (alpine only, alpine+montane, montane only), in growth chambers over a 28‐day period. Warming significantly reduced total consumer biomass owing to the decline of large alpine species, resulting in greater autotrophic abundance. Significant temperature‐invasion interactions occurred as warming suppressed alpine zooplankton, while stimulating certain imported species. Herbivorous invaders suppressed functionally similar alpine species while larger native omnivores reduced invasion by smaller taxa. Warming did not affect total invader biomass because imported species thrived under ambient and warmed alpine conditions. Our findings suggest that the adaptability of remote alpine lake communities to global warming is limited by species dispersal from lower valleys, or possibly nearby warmer alpine ponds.

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 score0.248
Threshold uncertainty score0.998

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)0.0030.000

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 head0.019
GPT teacher head0.224
Teacher spread0.205 · 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

Citations92
Published2005
Admission routes2
Has abstractyes

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