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Record W7051966093

Persistence, changes and robustness of nest webs along a latitudinal gradient in the
\nCanadian boreal forest

2024· other· en· W7051966093 on OpenAlexaboutno aff

Bibliographic record

VenueArchipelago (University of Quebec in Montreal) · 2024
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTaigaBorealBeaverSpecies diversityEnvironmental gradientSnag
DOInot available

Abstract

fetched live from OpenAlex

Introduction: In eastern Canada, the boreal forest is associated with an \nimportant latitudinal shift in forest composition and structure, which occurs in \nthe transition between the mixed southern boreal forest and the coniferous \nnorthern boreal forest. Along this transition, upland mixedwood stands with large \ndeciduous trees (important for cavity-dependent vertebrate species) are \ngradually replaced by forests with smaller conifer trees, primarily black spruce \n(Picea mariana). Concomitantly, the availability of lowland forests flooded by the \nAmerican beaver (Castor canadensis), which can provide adequate conditions for \ntree-cavity users, is also decreasing. \nMethods: We hypothesized that this latitudinal gradient would bring important \nchanges in the functional diversity and network structure of vertebrate cavityusing \ncommunities. Along this latitudinal gradient we used a nest web approach \nto analyze the structure and robustness of networks of cavity users in upland \nforests and in lowland forests flooded by beavers. \nResults: Despite their low availability in the northern forest region, we found that \nmixedwood stands persisted throughout the boreal forest in being the main \ndrivers of nest webs network structure of upland forests whereas old black \nspruce stands contribution was low. In lowland forests, beaver ponds harbored \nnest webs with a rich and complex structure in both forest regions. Species \nremoval simulations revealed that across our latitudinal gradient upland and \nlowland forest nest webs responded differently. In upland forests, the removal of \ntrembling aspen and the Pileated Woodpecker (Dryocopus pileatus) caused the \nhighest proportions of secondary extinctions, showing low robustness of nest \nwebs given that these two species were highly connected to the other species. \nContrastingly, nest webs in beaver ponds were more robust mainly because \nexcavator species used a higher diversity of tree species despite the removal of \nthe Northern Flicker (Colaptes auratus) which induced numerous secondary \nextinctions. The Pileated Woodpecker remained the pivotal species across the \ntwo forest regions in upland forests whereas the Northern Flicker became the \nmain large cavity provider in beaver ponds across the latitudinal gradient. \nDiscussion: We discuss how mixedwood forests and beaver ponds, which are key \nhabitat types for the cavity-using vertebrate community across our latitudinal \ngradient, should be maintained and protected in landscapes under industrial \ntimber harvesting.

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)0.002
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 score0.917
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.011
GPT teacher head0.179
Teacher spread0.167 · 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
Published2024
Admission routes1
Has abstractyes

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