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Record W2093936218 · doi:10.1111/jvs.12009

Riparian forests of <scp>S</scp>outhwest <scp>E</scp>urope: are functional trait and species composition assemblages constrained by environment?

2012· article· en· W2093936218 on OpenAlex
Francisca C. Aguiar, Jorge Orestes Cerdeira, Maria João Martins, María Teresa Ferreira

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

VenueJournal of Vegetation Science · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaMcGill University
KeywordsShrublandRiparian zoneEcologyEcoregionHabitatTraitGeographySpecies richnessAbundance (ecology)Riparian forestBiology

Abstract

fetched live from OpenAlex

Abstract Questions What are the species and functional trait composition of riparian forests in near‐natural Southwest European rivers? Are functional trait and species assemblages constrained by environment? Location Near‐natural riparian habitats throughout mainland Portugal, Southwest Europe. Methods We collected data on riparian woody abundances and environmental variables from 175 river locations. Twenty‐eight key functional traits were assigned to the surveyed species. Hierarchical clustering and indicator species analysis were used to derive compositional and functional groups of sites. We used Mantel tests to relate species and trait abundances and environmental gradients, and identified sets of relevant variables at diverse spatial scales. Then, four Dispersion indicators were developed to assess the extent to which the groups are constrained by the environment. These measures were tested for significance using iteration procedures. Results Clustering revealed four compositional groups of sites: Alder woods, Ash woods, Tree–heath shrublands and Semi‐arid shrublands ; and three functional groups: Mixed riparian forests, Shrublands with fleshy fruits and Stress‐tolerant shrublands . These groups were primarily defined by broad‐scale gradients of climate, elevation and river hierarchy. The most dispersed groups had broad trait composition (e.g. Mixed riparian forests ) and were floristically diverse ( Alder woods ). In general, the compositional groups were more closely related to environmental gradients than the functional groups . Conclusions Assemblages with very specific functional traits or with homogeneous species composition were largely constrained to the most extreme environmental conditions in the study area. Future research to assist environmental management should be directed to the role of fine‐scale environmental determinants of riparian assemblages, especially those related to flow variability and water stress.

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 score0.301
Threshold uncertainty score0.565

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 studies0.0000.002
Scholarly communication0.0000.002
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 head0.016
GPT teacher head0.224
Teacher spread0.209 · 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