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Record W2907866490 · doi:10.1002/bes2.1458

A Backward‐Looking Perspective of Land‐Use Change Impacts on Bird Communities in Southern Quebec

2019· article· en· W2907866490 on OpenAlexaboutno aff
Adrián Regos, Louis Imbeau, Mélanie Desrochers, Alain Leduc, M. Robert, Benoı̂t Jobin, Pierre Drapeau

Bibliographic record

VenueBulletin of the Ecological Society of America · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyGeneralist and specialist speciesEcologyHabitatBiodiversityDeciduousOccupancyLand useHabitat destructionLand use, land-use change and forestryLoggingForestryBiology

Abstract

fetched live from OpenAlex

Habitat loss and degradation are among the major threats to biodiversity. Using bird atlas data, we predicted the response of 128 bird species to land-use changes in southern Québec between “1984–89” and “2010–2014.” Declining species were mostly short-distance migrants, associated with open habitats and aerial insectivorous or granivorous diets, which may be related to agricultural intensification and land abandonment. Land-use changes were positive for some forest species, associated with mixed and deciduous forests, generalist diets, and tree-nesting strategies. Yet cavity-nesting birds have suffered reductions in their distributions, suggesting that effects of intensive logging pose a threat for mature forest-specialist species. Photo by Christine Lepage. Photo by Pierre Drapeau. These photographs illustrate the article “Hindcasting the impacts of land-use changes on bird communities with species distribution models of Bird Atlas data” by A. Regos, L. Imbeau, M. Desrochers, A. Leduc, M. Robert, B. Jobin, L. Brotons and P. Drapeau, published in Ecological Applications. https://doi.org/10.1002/eap.1784.

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 score0.107
Threshold uncertainty score0.956

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0450.000

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 head0.031
GPT teacher head0.242
Teacher spread0.210 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the Ecological Society of AmericaSame topicSpecies Distribution and Climate ChangeFrench-language works237,207