MétaCan
Menu
Back to cohort
Record W2557239383 · doi:10.1139/cjb-2016-0238

Foliar habit in mistletoe–host associations

2016· article· en· W2557239383 on OpenAlexvenueno aff
Gerhard Glatzel, Hanno Richter, Mohan P. Devkota, Guillermo C. Amico, Sugwang Lee, Ruozhu Lin, Michael Grabner, Bryan A. Barlow

Bibliographic record

VenueBotany · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsEvergreenBiologyHabitDeciduousLoranthaceaeHost (biology)HaustoriumEcologyBotanyTropicsRainforest

Abstract

fetched live from OpenAlex

Foliar habit in parasite–host associations of mistletoes and trees is a neglected aspect in the discussion of foliar habit of woody plants. Almost all of the world’s mistletoe species are evergreen, regardless of the foliar habit of their hosts. Deciduous mistletoes are rare and confined to the northern fringes of Loranthaceae in Eurasia, and to Misodendraceae and the monotypic genus Desmaria (Loranthaceae) in southern South America. There are no deciduous mistletoes in the tropics and subtropics. Based on existing information and hypotheses on foliar habit, we asked why the majority of mistletoe species is evergreen, even on deciduous hosts, and why seasonality is apparently no driver for the evolution of deciduousness in parasite–host systems. We postulate that nutrient conservation is the main driver for evergreenness in mistletoes. Based on our own observations of wood anatomy in the host–haustorium–mistletoe continuum we hypothesize that the phenomenon of deciduousness in northerly Loranthus species is a consequence of interrupted water supply in large vessels after frost. In South America we could not find a consistent correlation between wood anatomy and deciduousness. We assume that deciduousness in these mistletoes evolved long ago in Antarctic forests under climatic and ecological conditions quite different from today.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.245

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)0.0000.000

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 head0.015
GPT teacher head0.217
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations22
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueBotanySame topicPlant Parasitism and ResistanceFrench-language works237,207