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Record W3021139772 · doi:10.1017/s0024282920000079

Lichens and associated fungi from Glacier Bay National Park, Alaska

2020· article· en· W3021139772 on OpenAlexaff
Toby Spribille, Alan M. Fryday, Sergio Pérez‐Ortega, Måns Svensson, Tor Tønsberg, Stefan Ekman, Håkon Holien, Philipp Resl, Kevin Schneider, Edith Stabentheiner, Jan Vondrák, Lewis C. Sharman

Bibliographic record

VenueThe Lichenologist · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of Alberta
FundersAustrian Science FundKarl-Franzens-Universität GrazMinisterio de Ciencia, Innovación y UniversidadesNational Park ServiceUniversity of Montana
KeywordsLichenCrustoseNational parkEcologyBaySpecies richnessBiologyGlacierGeographyPhysical geographyArchaeology

Abstract

fetched live from OpenAlex

Abstract Lichens are widely acknowledged to be a key component of high latitude ecosystems. However, the time investment needed for full inventories and the lack of taxonomic identification resources for crustose lichen and lichenicolous fungal diversity have hampered efforts to fully gauge the depth of species richness in these ecosystems. Using a combination of classical field inventory and extensive deployment of chemical and molecular analysis, we assessed the diversity of lichens and associated fungi in Glacier Bay National Park, Alaska (USA), a mixed landscape of coastal boreal rainforest and early successional low elevation habitats deglaciated after the Little Ice Age. We collected nearly 5000 specimens and found a total of 947 taxa, including 831 taxa of lichen-forming and 96 taxa of lichenicolous fungi together with 20 taxa of saprotrophic fungi typically included in lichen studies. A total of 98 species (10.3% of those detected) could not be assigned to known species and of those, two genera and 27 species are described here as new to science:Atrophysma cyanomelanosgen. et sp. nov.,Bacidina circumpulla,Biatora marmorea,Carneothele sphagnicolagen. et sp. nov.,Cirrenalia lichenicola,Corticifraga nephromatis,Fuscidea muskeg,Fuscopannaria dillmaniae,Halecania athallina,Hydropunctaria alaskana,Lambiella aliphatica,Lecania hydrophobica,Lecanora viridipruinosa,Lecidea griseomarginata,L. streveleri,Miriquidica gyrizans,Niesslia peltigerae,Ochrolechia cooperi,Placynthium glaciale,Porpidia seakensis,Rhizocarpon haidense,Sagiolechia phaeospora,Sclerococcum fissurinae,Spilonema maritimum,Thelocarpon immersum,Toensbergia blastidiataandXenonectriella nephromatis. An additional 71 ‘known unknown’ species are cursorily described. Four new combinations are made:Lepra subvelata(G. K. Merr.) T. Sprib.,Ochrolechia minuta(Degel.) T. Sprib.,Steineropsis laceratula(Hue) T. Sprib. & Ekman andToensbergia geminipara(Th. Fr.) T. Sprib. & Resl. Thirty-eight taxa are new to North America and 93 additional taxa new to Alaska. We use four to eight DNA loci to validate the placement of ten of the new species in the ordersBaeomycetales,Ostropales,Lecanorales,Peltigerales,Pertusarialesand the broader class Lecanoromycetes with maximum likelihood analyses. We present a total of 280 new fungal DNA sequences. The lichen inventory from Glacier Bay National Park represents the second largest number of lichens and associated fungi documented from an area of comparable size and the largest to date in North America. Coming from almost 60°N, these results again underline the potential for high lichen diversity in high latitude ecosystems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.219
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), 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

Citations81
Published2020
Admission routes1
Has abstractyes

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