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Record W6967309716 · doi:10.5061/dryad.9s4mw6mn8

Effective management for deadwood-dwelling lichen diversity requires landscape-scale habitat protection

2023· dataset· en· W6967309716 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsHabitatLichenSpecies richnessTaigaBiodiversityHabitat destructionBorealDead woodSpecies diversity

Abstract

fetched live from OpenAlex

Habitat loss is considered a major threat for biodiversity. However, the scales on which its effects occur are still insufficiently understood, namely, is the amount of available habitat important for species richness on both local and landscape scales? We studied the effects of local and landscape-scale habitat amount on local-scale species density of deadwood-dependent lichens in Swedish boreal forests. Creation and retention of dead wood are common practices to benefit forest biodiversity, and recognizing the relevant scale is critical for them to be successful. We surveyed deadwood-dependent lichens in 90 unmanaged forest stands that differed in the local and landscape habitat amount. The local habitat amount was measured as the amount of dead wood in the sampled stands (m2 dead wood/ha), while six alternative proxies were used to estimate the landscape habitat amount, i.e., the amount of dead wood in the landscapes surrounding the sampled forest stands. Lichen species density (number of species per standardized dead wood area of 3.7 m2) was modelled as a function of local habitat amount and landscape habitat amount at multiple scales (300 m – 5 km from the stands). We found that lichen species density increased with the landscape habitat amount. The proportion of old forests (> 100 years, including newly clear-cut stands that until recently were old forests) within 5 km from the studied stands explained species density better than the other proxies of landscape habitat amount. Local dead wood amount did not affect species density, and there was no interaction between the local and landscape habitat amount. Synthesis and applications: To promote the conservation of deadwood-dependent lichens, the amount of old forests in managed forest landscapes should be maintained or increased. A certain amount of dead wood hosted more lichen species when situated in a landscape with more old forest, while there was no effect of the local dead wood amount. This suggests that management aimed at increasing the local species density of deadwood-dwelling lichens should focus on creating and maintaining habitat in the surrounding landscape rather than on only adding deadwood to that local site. In other words, effective management for deadwood-dependent lichen diversity requires landscape-scale habitat protection.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.051
GPT teacher head0.315
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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