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Record W2280677766 · doi:10.1111/1365-2745.12558

Fungal effects on plant–plant interactions contribute to grassland plant abundances: evidence from the field

2016· article· en· W2280677766 on OpenAlexafffund
Jonathan Bennett, James F. Cahill

Bibliographic record

VenueJournal of Ecology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaEesti TeadusagentuurInnovative Research Group Project of the National Natural Science Foundation of ChinaAmazon Conservation Association
KeywordsBiologyIndirect effectCompetition (biology)Plant communityOld fieldAbundance (ecology)FungicideBotanyEcologySpecies richness

Abstract

fetched live from OpenAlex

Summary Plant–fungal interactions can have strong effects on plant abundances, both through direct effects on plant performance and indirect effects on competition and facilitation. Most evidence linking fungi to plant abundances derives from direct fungal effects on initial growth, with little evidence linking fungal effects on plant–plant interactions in intact communities to plant abundances for any plant life‐history stage. We transplanted 4320 individuals belonging to 18 plant species into plots where we removed neighbouring vegetation and suppressed fungi using fungicide in a factorial design. We monitored plant survival and growth for 3 years, using these data to test whether fungi had net effects on how plant–plant interactions affected different plant life‐history components (initial survival/growth, adult survival/growth). We then tested whether these indirect fungal effects or direct fungal effects on plant performance best explained plant commonness (frequency of occurrence) and local density (per cent cover). Finally, we measured differences in root‐associated fungi following fungal suppression and associated these differences with fungal effects on plant performance. Overall, fungi increased competitive effects on survival (i.e. lower survival with fungi intact), but reduced competitive effects on growth of adult plants (i.e. higher growth when fungi intact). Among the focal species, these indirect fungal effects increased survival for more common species relative to rarer species. However, indirect fungal effects on adult growth benefitted rarer species more than common species. Local plant densities were unassociated with indirect fungal effects, but were negatively associated with direct fungal effects on survival and adult growth. This suggests that fungi limit local dominance, thereby indirectly increasing the establishment of common species and the growth of rare species. Synthesis . Using a variety of plant species and suppressing both fungi and neighbours, we show that fungi have net indirect effects, through plant–plant interactions, within intact plant communities. Variation among species in both direct and indirect fungal effects contributed to plant abundances, yet fungal effects did not consistently benefit either common or rare species. However, regardless of commonness, fungi directly reduced growth and survival for species with high local densities, consistent with plant–soil feedbacks limiting species dominance.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.017
GPT teacher head0.245
Teacher spread0.228 · 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 designNot applicable
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

Citations75
Published2016
Admission routes2
Has abstractyes

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