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Record W2799290411 · doi:10.7939/r3f18sv1g

Changes in peatland plant community composition and stand structure due to road induced flooding and desiccation

2017· article· en· W2799290411 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPeatDesiccationFlooding (psychology)Environmental sciencePlant communityComposition (language)EcologyBiologyEcological succession

Abstract

fetched live from OpenAlex

Roads built through peatlands with horizontal water flow can to act as dams that affect local hydrology and thus vegetation composition and structure. On the ‘upstream’ side of roads, soils can become waterlogged causing either increased tree mortality, or stunted tree growth; conversely, the ‘downstream’ side may experience drying resulting in deeper root growth and increased canopy cover. Interestingly, this phenomenon is not consistent between classes of peatlands (i.e. bogs, fens, and swamps) and comparable roads may disrupt tree growth patterns in one peatland, while another may be unaffected. This study examines the conditions that maintain or alter stand structure and vegetation composition in different types of road-bisected peatlands, namely that of landscape position and mineral soil substrate composition (clay, sand, silt). I assessed tree stand structure for 96 peatlands in northeast Alberta using airborne LiDAR-derived canopy cover. Vegetation data were collected for 25 peatland sites in northeastern Alberta. These sites were subsampled with 4 plots per peatland, one pair adjacent to the road, reflecting the dry versus wet conditions, and a second pair 100 meters from the road. Generalized Linear Mixed Models (GLMMs) and distance-based redundancy analyses were used to evaluate relationships between LiDAR-derived canopy cover, vascular plant species richness, vegetation cover among different groups of species or species indicators, and overall species composition among different peatland types, environmental factors, landscape postion, and road characteristics. Canopy cover and tree species composition increased on the downstream side of roads and decreased on the upstream side of roads. Species richness increased in bogs on the upstream side of roads, while being comparably lower on the upstream side than on the downstream side of roads in fens. Carex limosa, Carex canescens, and Andromeda polifolia were identified as indicators of the upstream side of roads in fens, swamps, and bogs respectively, with significant differences confirmed in GLMMs. Substrate conditions below the peat further affected responses of plants, with ericaceous shrubs positively related to amount of clay, while some forbs and sedges were positively related to amount of sand. Substrate underlying the peat also influenced the effect that roads had on species composition. Bogs developed over substrates with high sand content had floristic shifts on the upstream side of the road whereas vegetation communities were similar on both sides of the road in bogs with very little sand. This study demonstrates the value of LiDAR-derived vegetation structure metrics in evaluating changes in woody vegetation structure for road-fragmented peatlands and that wetland classifications stratified with surficial geology can be a useful indicator of responses of vegetation to roads. However, responses were variable among sites due to interactions between road orientation, substrate texture, landscape position, and peatland type.

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 score0.029
Threshold uncertainty score0.999

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 head0.012
GPT teacher head0.189
Teacher spread0.177 · 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