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Record W4292747842 · doi:10.1111/avsc.12679

Urban plant diversity in Kazakhstan: Effects of habitat type, city size and macroclimate

2022· article· en· W4292747842 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Vegetation Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsUniversity of Alberta
FundersGrantová Agentura České Republiky
KeywordsSpecies richnessGeographyHabitatEcologySteppeSpecies diversityVegetation (pathology)AlienIntroduced speciesBiologyPopulationCensusArchaeology

Abstract

fetched live from OpenAlex

Abstract Questions Urbanisation has accelerated the spread of alien and apophytic species around the world including the drylands of continental inland Asia. However, few studies have examined the patterns and drivers of urban plant diversity in this region. We ask how habitat type, city size and macroclimate affect species richness and composition of alien, apophytic and non‐apophytic indigenous plants in cities of the steppe and forest‐steppe zones of Kazakhstan. Location Ten cities in central and northeastern Kazakhstan, Middle Asia. Methods Using a standardized sampling protocol, we recorded spontaneously occurring vascular plant species in 1‐ha plots in seven habitat types (central square, boulevard, residential area, park, early‐successional vacant site, mid‐successional vacant site and railway station) in five large (>100,000 inhabitants) and five small (<100,000 inhabitants) cities. We used linear mixed‐effect models to quantify the effects of habitat type, city size and macroclimate on species richness and the proportion of alien, apophytic and non‐apophytic indigenous plants. Results Plant species richness differed significantly among habitat types, with the lowest richness in central squares, and the highest in railway stations and residential areas. Apophytic species were most numerous in railway stations and alien species in residential areas. The richness of alien, apophytic and non‐apophytic indigenous species varied more among habitats than among cities. The proportion of apophytes increased linearly with annual precipitation. The largest differences in species composition were between disturbed sites in city centres (squares, boulevards and parks) and early‐successional, mid‐successional and railway station sites. Large and small cities also differed in species composition. Conclusions Plant diversity in cities of northern Kazakhstan depends mainly on habitat type and less on macroclimate. Overall, cities in inland continental Asia follow patterns of urban species diversity observed in other Asian and European cities.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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