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Record W4415224598 · doi:10.1016/j.baae.2025.10.006

Native and alien plant species respond differently to landscape and local factors shaping spontaneous herbaceous vegetation in villages

2025· article· en· W4415224598 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBasic and Applied Ecology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicLand Use and Ecosystem Services
Canadian institutionsnot available
FundersFondation familiale TrottierNemzeti Kutatási Fejlesztési és Innovációs HivatalMagyar Tudományos Akadémia
KeywordsSpecies richnessVegetation (pathology)Human settlementContext (archaeology)PopulationAgricultureHabitatPlant community

Abstract

fetched live from OpenAlex

• Native species peak in green areas at village edges within semi-natural landscapes. • Archaeophytes thrive in villages in agricultural areas, echoing historic farming. • Neophytes are richer at village edges, regardless of surrounding landscape. • Shading and settlement age promote neophyte and native richness, respectively. • Disturbance reduces natives but increases archaeophyte cover in village green areas. Most urban ecological research focuses on large cities, while smaller settlements remain understudied despite hosting a significant share of both human population and biodiversity. Their unique characteristics, such as lower sealed surface ratio and stronger ties to rural landscapes – highlighting the importance of the wider landscape-scale context – may lead to different ecological dynamics and require tailored planning and management. Here, we investigated how species composition of spontaneous herbaceous vegetation in villages is influenced by landscape-scale and local factors, with particular focus on native, archaeophyte and neophyte species. In 2022, we surveyed vegetation in 64 villages in the Carpathian Basin (Hungary and Romania), sampling public green areas at village centres and edges in contrasting landscape contexts (villages in city agglomeration vs. far from cities, and in semi-natural forested vs. agricultural landscapes). We recorded species richness and relative cover, along with local factors like shading, disturbance, mowing, green area shape, solar radiation, and built-up age. Native species richness was highest at village edges in semi-natural landscapes, whereas archaeophyte cover peaked in villages embedded in agricultural landscapes. Neophyte richness was consistently higher at village edges, regardless of landscape context. Locally, shading increased both neophyte richness and cover. Older settlements promoted higher native richness and cover but resulted in lower archaeophyte cover. Conversely, disturbance reduced native cover while enhancing archaeophyte cover. The divergent responses of the three species groups to landscape and local-scale factors underscore the importance of integrating both landscape-scale planning and local management in managing native and alien species in village green areas.

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)0.000
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 score0.012
Threshold uncertainty score0.628

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.203
Teacher spread0.194 · 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