MétaCan
Menu
Back to cohort
Record W2481844244 · doi:10.1111/fwb.12806

Wind‐driven thermocline movements affect the colonisation and growth of <i>Achnanthidium minutissimum</i>, a ubiquitous benthic diatom in lakes

2016· article· en· W2481844244 on OpenAlexafffund
Hélène Cyr

Bibliographic record

VenueFreshwater Biology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsBenthic zoneThermoclineOceanographyDiatomColonisationEcologySubstrate (aquarium)Environmental scienceBathymetryBiologyGeology

Abstract

fetched live from OpenAlex

Summary Benthic algae form a major component of primary production in shallow waters and are an important component of lake food webs. I tested the effects of thermocline movements and bathymetric slope on the colonisation and population development of a ubiquitous and often dominant benthic diatom, Achnanthidium minutissimum . Sampling sites were positioned along the upwind and downwind shorelines of an elongated 22 km 2 lake basin, on a range of bathymetric slopes (1–16%). A first set of substrates was deployed at eight sites during early stratification (June 19, 2004) and were sampled after 4, 11 and 20 days and 5.5 and 11 weeks to compare colonisation, establishment, early growth rate and density of mature populations. The second set of substrates was deployed at 16 sites in mid‐summer (July 26) and was sampled after 5.5 weeks. The density of A. minutissimum and their average cell length were measured in all samples. Thermocline movements were calculated using a 3D hydrodynamic model, which was calibrated offshore in the lake basin and validated at each sampling site. Achnanthidium colonised the open substrates very rapidly. Initial cell densities increased with increasing thermocline movement, especially along shallow bathymetric slopes. These results suggest an inverse relationship between thermocline‐induced nearshore turbulence and bathymetric slope. The density of early colonisers was reduced by 30–95% during the establishment period (4–11 days after substrate deployment), suggesting that Achnanthidium needs time to attach firmly to the substrate and is vulnerable to disturbances during that period. Achnanthidium established most efficiently at upwind nearshore sites exposed to more thermocline movement. The early growth rate of Achnanthidium in nearshore areas was negatively related to mean water temperature, a likely surrogate for nutrient availability at the sediment–water interface. The density of Achnanthidium in mature populations was positively related to thermocline movements and showed a negative interaction with bathymetric slope early in the stratification period, but not later in summer. These results suggest that physical forces associated with thermocline movements interact differently with the bottom in nearshore areas as the season progresses and as the water‐column stabilises. The size of Achnanthidium cells increased during settlement and early population growth, peaked in early July at most sites and decreased over the rest of the summer. This common pattern of seasonal change in Achnanthidium cell sizes suggests a strong factor synchronising its life cycle across the whole lake basin. Thermocline movements over nearshore substrates clearly affect the colonisation and population development of A. minutissimum . These results support the idea that wind‐driven physical forces are a major factor structuring nearshore habitats in lakes, even in the lower littoral zone, and that benthic organisms should distribute themselves in a predictable way around lake basins.

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)0.000
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 score0.063
Threshold uncertainty score0.950

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 head0.011
GPT teacher head0.211
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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueFreshwater BiologySame topicMarine and coastal ecosystemsFrench-language works237,207