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Record W6929817843 · doi:10.5061/dryad.3xsj3txkf

The diversity of mycorrhiza-associated fungi and trees shape subtropical mountain forest ecosystem functioning

2022· dataset· en· W6929817843 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2022
Typedataset
Languageen
FieldPhysics and Astronomy
TopicScientific Research and Discoveries
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpecies richnessEctomycorrhizaBiodiversityMycorrhizaEcosystemForest ecologySubtropicsSpecies diversity

Abstract

fetched live from OpenAlex

Aim: Mycorrhiza play key roles in ecosystem structure and functioning in forests. However, how different mycorrhizal types influence mountain forest biodiversity-ecosystem functioning relationships is largely unknown. We evaluate how the diversity of distinct mycorrhiza-associated fungi and trees shape forest carbon storage along elevational gradients. Location: Gaoligong Mountains within Hengduan Mountains, Southwest China. Taxon: Seed plants and mycorrhizal fungi. Methods: We used the data from 31 subtropical forest plots along elevational gradients on two aspects (east and west) of the mountain. We quantified species richness of trees and symbiotic fungi and assigned both to their mycorrhizal type (arbuscular mycorrhiza (AM), ectomycorrhiza (EcM) and ericoid mycorrhiza (ErM)). We then examined the diversity effects of mycorrhiza-associated fungi and trees on above-ground carbon stored in trees and organic carbon stored in soils. Results: Species richness was highest for AM trees (79.5%), followed by ErM trees (13.4%) and then EcM trees (7.1%). Species richness of AM-associated trees and fungi decreased with increasing elevation, while ErM-associated trees and fungi showed an opposite trend. EcM-associated diversity followed a hump-shaped relationship with elevation. Positive relationships between diversity and above-ground carbon were detected in all three mycorrhizal associations, but despite low species number, canopy-dominating EcM trees comprised 64.4% of the amount of above-ground carbon. Furthermore, community-weighted means of height exhibited positive correlations with forest above-ground carbon, indicating that positive selection effects occur. Soil organic carbon was positively related to EcM-associated fungi diversity, above-ground carbon mass and soil nitrogen availability, with the latter having the strongest direct effects. Main conclusions: The distributions of forest biodiversity and carbon storage can be modulated by distinct mycorrhizal fungi and trees. Moreover, future global changes (e.g., climate warming, intensifying nitrogen deposition) could alter the mycorrhizal-mediated biodiversity-ecosystem functioning relationships in mountain forests.

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)0.001
metaresearch head score (Gemma)0.000
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.043
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0400.000

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 head0.028
GPT teacher head0.277
Teacher spread0.248 · 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
GenreDataset

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

Citations0
Published2022
Admission routes1
Has abstractyes

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