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Islands of land on islands of ice: climate continentality, Pleistocene history, and oases size explain plant species and phylogenetic diversity of Arctic polar desert vegetation 

2025· preprint· en· W4412935009 on OpenAlexfundaboutno aff
Sergey V. Dudov, Ksenia Ermokhina, Debora S. Obrist, Martha K. Raynolds, Jonathan Lenoir, Donald A. Walker, Gabriela Schaepman‐Strub

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
FundersRussian Science FoundationSwiss Polar InstituteAlberta Agricultural Research InstituteNational Aeronautics and Space AdministrationNational Science Foundation
KeywordsVegetation (pathology)GeographyEcologyArcticPleistocenePhysical geographyDesert climateDesert (philosophy)GeologyAridBiologyArchaeology

Abstract

fetched live from OpenAlex

Arctic polar deserts (Arctic Bioclimate Subzone A) are the northernmost biome, characterized by a single-layer vertical structure, discontinuous vegetation cover, absence of woody plants and the leading role of cryptogams in plant communities. With ongoing Arctic amplification, the climatic conditions of polar deserts are changing, raising the question of the stability of polar desert plant diversity.Based on 499 complete geobotanical plots from Eurasian and Canadian polar islands in Arctic Bioclimate Subzone A, we estimated the impact of palaeogeographic legacies on polar desert plant and lichen species richness and vascular plant phylogenetic diversity by assessing the influence of Late Pleistocene to Holocene climate, isolation and glacial history.Existing research links phylogenetic diversity (Faith’s phylogenetic diversity; PD) and relatedness metrics (mean pairwise distance and mean nearest taxon distance; MPD and MNTD, respectively) to global latitudinal and elevational gradients, showing declines under harsher conditions. However, our analysis of Arctic vascular plant communities shows no strong differences in phylogenetic relatedness between bioclimate subzone A and other Arctic subzones, nor any consistent trends across bioclimatic subzones, but only high metric variation within each subzone. While latitudinal and temperature gradients show weak but significant statistical associations, differentiation in phylogenetic diversity and relatedness are primarily driven by local habitat conditions (temperature, continentality, glaciation history and soil types).Our results demonstrate that ancient climate has a significant impact on modern plant and lichen species richness, with Last Glacial Maximum temperature being the strongest predictor (R² = 0.35) among all factors tested.We found that, in contrast to lower-latitude islands, island size and distance from the mainland are weak predictors of polar desert plant and lichen species richness, while ’oasis’ size (size of ice-free area) and proportion of land within a 1000 km buffer are more important, suggesting the influence of both glaciation and Pleistocene land-bridge connections.Our results reveal the strong, lasting influence of glaciation history and ancient climate suggesting that polar desert ecosystems may be resilient to plant diversity shifts driven solely by current climate change. However, the importance of islands’ isolation indicates the potential for species colonization that could change the diversity of the biome. Therefore, we suggest that future research prioritize niche modeling of potential colonizing species and the study of dark diversity, the group of potential colonizers, on polar islands.

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)0.001
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 score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.232
Teacher spread0.191 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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