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Record W7109651573 · doi:10.26108/5axr-nk15

Odonate diversity in treed bogs in southwest Nova Scotia

2007· article· en· W7109651573 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsBogHabitatSpecies richnessBiodiversityWetlandNova scotiaSpecies diversity

Abstract

fetched live from OpenAlex

The objective of this study was to examine the diversity of odonates (dragonflies and damselflies) in treed bogs and the effect of adjacent forest harvesting on this diversity. Treed bogs are the most common wetland type in southwest Nova Scotia, yet they remain poorly understood. During the summers of 2005 and 2006, 1745 adult odonates representing 54 species were encountered during surveys of 26 treed bogs located in interior southwest Nova Scotia. This sample comprised ~47% of all known mainland Nova Scotia species, including a number of rare and specialized ones. On average, 11.54 species were found per study site, with richness ranging from 3 and 21 species. Canonical Correspondence Analysis was used to forwardly select environmental variables that were important in explaining species occurrences. Forest harvesting within 20 m of treed bogs and adjacent roads had the greatest influence on species occurrences, with individual species showing both positive and negative responses. Other forwardly selected variables, in order of decreasing importance, included pH, distance to nearest stream, tree density and bog type. Four species that are both restricted to bog habitats and rare in Nova Scotia were associated with lower than average forest harvesting and road disturbance. These particularly susceptible species were also associated with more heterogeneous treed bog study sites, and therefore these habitats have a higher biodiversity value and should be a priority for conservation. Understanding the nature of odonate diversity in treed bogs and the factors influencing this diversity will better inform management decisions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.006

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 head0.022
GPT teacher head0.221
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

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