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Record W2789486564 · doi:10.1002/ecs2.2132

Climate, but not trait, effects on plant–soil feedback depend on mycorrhizal type in temperate forests

2018· article· en· W2789486564 on OpenAlex
Jonathan Bennett, John N. Klironomos

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEcosphere · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyBiotaMycorrhizaTemperate climateEcologyEcosystemPopulationPlant communityTemperate forestSymbiosisSpecies richness

Abstract

fetched live from OpenAlex

Abstract Plants interact with a variety of soil biota. The accumulation of beneficial or antagonistic biota over time can have strong positive or negative effects on the recruitment of new individuals into the population (i.e., plant–soil feedback, PSF). Despite the potential influence of PSF on plant diversity in terrestrial ecosystems, our understanding of its determinants remains incomplete. Within forests, recent evidence indicates that mycorrhizal type can regulate PSF: Arbuscular mycorrhizal trees typically experience negative PSF, while ectomycorrhizal trees experience positive PSF. Other studies have found that plant traits and the local environment also affect PSF; yet, these studies are based on arbuscular mycorrhizal plants in herbaceous systems. Consequently, the relationship between PSF and plant traits or the environment may depend on the mycorrhizal type of the tree. Using PSF measurements for 520 populations belonging to 52 North American temperate forest tree species, we tested whether mycorrhizal type influences how plant traits and climate relate to PSF. For both mycorrhizal types, species that produced larger seeds and were less drought tolerant had more positive (or less negative) PSF. Precipitation during the dry season was negatively related to PSF, but only for arbuscular mycorrhizal trees. These results suggest that investing more resources in seeds may minimize PSF for tree species, irrespective of mycorrhizal type. Species that have historically been exposed to greater pathogen abundances in wetter environments may also be better defended against attack, minimizing negative PSF. However, for species currently found in wetter environments, PSF may be strongly negative if their mycorrhizas do not defend them against attack, as is common among arbuscular mycorrhizal trees. Combined, these results highlight the importance of mycorrhizal type in determining the relationship between PSF and climate, but indicate that the relationship between PSF and plant traits may be independent of mycorrhizal type. Nevertheless, mycorrhizal type remains an important consideration when studying PSF, and forest dynamics in general.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

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)0.0110.014

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 head0.212
Teacher spread0.201 · 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