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The relationship between environmental complexity, species diversity and productivity in a natural reconstructed yeast community

2009· article· en· W1973647660 on OpenAlexfundno aff
Taissa Replansky, Graham Bell

Bibliographic record

VenueOikos · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsProductivityEcosystemEcologyBiologyDiversity (politics)BiodiversityEcosystem diversitySpecies diversityGenetic diversityEconomicsDemography

Abstract

fetched live from OpenAlex

Diversity, whether ecological or genetic, is widely believed to be beneficial to the functioning of ecosystems. Although many studies have investigated relationships between environmental complexity, species diversity and ecosystem function, few have examined these factors simultaneously. We propagated combinations of three naturally coexisting yeast species for 200 generations, in environments of increasing complexity represented by combinations of up to eight different carbon sources. We found that competitive ability was transitive, and not related to productivity, which was equal among the species. Species diversity had a positive effect on productivity and overyielding in mixtures was caused primarily by complementation. Environmental complexity and species diversity were positively correlated, though not significantly, and the sole case of coexistence of all three yeasts after 200 generations occurred on a single carbon source, melezitose. Environmental complexity also enhanced productivity, although this relationship failed, for unknown reasons, at the highest level of complexity. Our results suggest that maintaining species diversity contributes to ecosystem productivity, but that the mechanisms responsible for maintaining diversity may not be straightforward.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
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 studies0.0020.000
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 head0.140
GPT teacher head0.221
Teacher spread0.082 · 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.

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

Citations40
Published2009
Admission routes1
Has abstractyes

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