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Plankton community structure in fluctuating environments and the role of productivity

2001· article· en· W2001133921 on OpenAlexfundno aff
Beatrix E. Beisner

Bibliographic record

VenueOikos · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaKillam Trusts
KeywordsTrophic levelPlanktonPhytoplanktonProductivityEcologyNutrientMesocosmCommunity structureEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Environmental variability in space and time can have significant influences on community structure. Temporal heterogeneity in nutrient supply has been shown in laboratory studies to have strong impacts on the diversity and composition of phytoplankton communities, depending on the scale of fluctuations. This paper extends the work in chemostats in a number of ways: using large‐scale field mesocosms with natural plankton communities exposed to various frequencies of vertical mixing, modifying environmental productivity and incorporating higher trophic levels. The first major question and experiment focus on whether vertical mixing at various frequencies, and the associated nutrient pulse, has similar effects in nutrient‐rich and nutrient‐poor environments for predominantly single trophic level systems. The results indicate that the temporal scale of fluctuation is more of a structuring factor for phytoplankton communities in enriched enclosures, with little response under oligotrophic conditions. The second experiment examines the responsiveness of entire plankton communities (three trophic levels). Major shifts in community structure were absent under both nutrient‐rich and nutrient‐poor conditions. Responses were seen only in the demography of the top trophic level ( Chaoborus flavicans ). It appears from these experiments that the spatial disruption that accompanies mixing events may be more important than the temporal component (nutrient pulses) for phytoplankton. This appears to be the case only under conditions where natural spatial heterogeneity is high as it is when systems are enriched. When nutrient pulses are small, as they are in oligotrophic systems where recycling is efficient, little phytoplankton community response is observed. Finally, the inclusion of entire plankton food webs here suppressed the effects of the scale of intermittency in water column mixing at both low and high nutrient levels for all but the highest trophic level.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.007
GPT teacher head0.176
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), 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

Citations48
Published2001
Admission routes1
Has abstractyes

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